diff --git a/learning_resources/constants.py b/learning_resources/constants.py index f0d34caaea..f0bb624de6 100644 --- a/learning_resources/constants.py +++ b/learning_resources/constants.py @@ -98,7 +98,7 @@ class PrivacyLevel(ExtendedEnum): unlisted = "unlisted" -semester_mapping = {"1T": "spring", "2T": "summer", "3T": "fall"} +semester_mapping = {"1T": "Spring", "2T": "Summer", "3T": "Fall"} class LearningResourceRelationTypes(TextChoices): diff --git a/learning_resources/data/oll_metadata.csv b/learning_resources/data/oll_metadata.csv index 2216672f2b..aa572e53a6 100644 --- a/learning_resources/data/oll_metadata.csv +++ b/learning_resources/data/oll_metadata.csv @@ -1,29 +1,29 @@ -OLL Course,edX Subject 1,edX Subject 2,edX Subject 3,MITxO Primary Parent,MITxO Primary Child,MITxO Secondary Parent,MITxO Secondary Child ,OCW Pointer Page Topic 1,OCW Pointer Page Topic 2,Instructor 1,Instructor 2,Instructor 3,Instructor 4,Instructor 5,Instructor 6,,Level,Offered by,Language,readable_id,title,url,description,published,License CC,Duration,Student Effort,Course Image URL,Course Image URL Flat -18.031,,,,Science & Math,Mathematics,,,,,Philip Pearce,,,,,,,Undergraduate,OCW,English,OCW+18.031+2019_Spring,System Functions and the Laplace Transform,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+18.031+2019_Spring/about,"This half-semester course studies basic continuous control theory as well as representation of functions in the complex frequency domain. It covers generalized functions, unit impulse response, and convolution. Also covered are the Laplace transform, system (or transfer) functions, and the pole diagram. Examples from mechanical and electrical engineering are provided.",YES,YES,13,6,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.031+2019_Spring+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.031+2019_Spring+type@asset+block@course_image.jpg -18.05,,,,Science & Math,Mathematics,,,,,Jeremy Orloff,Jennifer French Kamrin,,,,,,Undergraduate,OCW,English,MITx+18.05r_10+2022_Summer,Introduction to Probability and Statistics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.05r_10+2022_Summer/about,"This half-semester course studies basic continuous control theory as well as representation of functions in the complex frequency domain. It covers generalized functions, unit impulse response, and convolution. Also covered are the Laplace transform, system (or transfer) functions, and the pole diagram. Examples from mechanical and electrical engineering are provided.",YES,YES,14,14,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.05r_10+2022_Summer+type@asset+block@mit18_05_s22_chp.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.05r_10+2022_Summer+type@asset+block@mit18_05_s22_chp.jpg -0.501x,Education & Teacher Training,,,Education & Teaching,Pedagogy and Curriculum,,,,,Justin Reich,Elizabeth Huttner-Loan,Alyssa Napier,,,,,Graduate,MITx,English,MITx+0.501x+2T2019,Envisioning the Graduate of the Future,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.501x+2T2019/about,"Communities have always wrestled with the multiple purposes of education: to train young people for careers, vocations, and college; to prepare them for their roles as citizens; to develop habits of reflective, ethical adults; and to create a common experience in a pluralistic society while meeting the needs of individual learners. As the world changes and grows more complex, returning to these important questions of purpose can help guide schools in their growth and strategic change. To ensure our schools are effective, we need to routinely reimagine what the high school graduate of the future will need to know and be able to do. The artifact that communicates these ideas is called a graduate profile. Making explicit the capabilities, competencies, knowledge, and attitudes for secondary school graduates, and inviting key stakeholders like students and community members to be engaged in the process, can help you and your school to focus your vision of success and drive school innovation efforts. +OLL Course,edX Subject 1,edX Subject 2,edX Subject 3,MITxO Primary Parent,MITxO Primary Child,MITxO Adopted Secondary Child ,OCW Pointer Page Topic 1,OCW Pointer Page Topic 2,Instructor 1,Instructor 2,Instructor 3,Instructor 4,Instructor 5,Instructor 6,,Level,Offered by,Language,readable_id,title,url,description,published,License CC,Duration,Student Effort,Course Image URL,Course Image URL Flat +18.031,,,,Science & Math,Mathematics,Algorithms and Data Structures,,,Philip Pearce,,,,,,,Undergraduate,OCW,English,OCW+18.031+2019_Spring,System Functions and the Laplace Transform,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+18.031+2019_Spring/about,"This half-semester course studies basic continuous control theory as well as representation of functions in the complex frequency domain. It covers generalized functions, unit impulse response, and convolution. Also covered are the Laplace transform, system (or transfer) functions, and the pole diagram. Examples from mechanical and electrical engineering are provided.",YES,YES,13,6,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.031+2019_Spring+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.031+2019_Spring+type@asset+block@course_image.jpg +18.05,,,,Science & Math,Mathematics,Data Science,,,Jeremy Orloff,Jennifer French Kamrin,,,,,,Undergraduate,OCW,English,MITx+18.05r_10+2022_Summer,Introduction to Probability and Statistics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.05r_10+2022_Summer/about,"This half-semester course studies basic continuous control theory as well as representation of functions in the complex frequency domain. It covers generalized functions, unit impulse response, and convolution. Also covered are the Laplace transform, system (or transfer) functions, and the pole diagram. Examples from mechanical and electrical engineering are provided.",YES,YES,14,14,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.05r_10+2022_Summer+type@asset+block@mit18_05_s22_chp.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.05r_10+2022_Summer+type@asset+block@mit18_05_s22_chp.jpg +0.501x,Education & Teacher Training,,,Education & Teaching,Pedagogy and Curriculum,Digital Learning,,,Justin Reich,Elizabeth Huttner-Loan,Alyssa Napier,,,,,Graduate,MITx,English,MITx+0.501x+2T2019,Envisioning the Graduate of the Future,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.501x+2T2019/about,"Communities have always wrestled with the multiple purposes of education: to train young people for careers, vocations, and college; to prepare them for their roles as citizens; to develop habits of reflective, ethical adults; and to create a common experience in a pluralistic society while meeting the needs of individual learners. As the world changes and grows more complex, returning to these important questions of purpose can help guide schools in their growth and strategic change. To ensure our schools are effective, we need to routinely reimagine what the high school graduate of the future will need to know and be able to do. The artifact that communicates these ideas is called a graduate profile. Making explicit the capabilities, competencies, knowledge, and attitudes for secondary school graduates, and inviting key stakeholders like students and community members to be engaged in the process, can help you and your school to focus your vision of success and drive school innovation efforts. Instructor Justin Reich and the course team from the MIT Teaching Systems Lab look forward to guiding teachers, administrators, community members, and others passionate about improving secondary school in the process of designing a graduate profile. Over four weeks, you will reflect on the purpose and goals of secondary school, as well as desirable characteristics for graduates. You’ll learn how schools have benefited from a graduate profile development process and begin the process yourself. You’ll learn more about your own context, its values and beliefs. You’ll leave the course with a shareable artifact that communicates a vision of a multi-faceted secondary school graduate. -This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT.",YES,YES,4,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.501x+2T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.501x+2T2019+type@asset+block@course_image.jpg -0.502x,Education & Teacher Training,,,Education & Teaching,Education Policy,,,,,Justin Reich,Elizabeth Huttner-Loan,,,,,,Undergraduate,MITx,English,MITx+0.502x+1T2019,Competency-Based Education,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.502x+1T2019/about,"Many schools across the country are exploring competency-based education (CBE) as a pathway for transforming the school experience. In this course, instructor Justin Reich and the MIT Teaching Systems Lab team will help you develop an understanding of the characteristic elements of CBE and how schools are implementing it. +This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT.",YES,YES,4,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.501x+2T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.501x+2T2019+type@asset+block@course_image.jpg +0.502x,Education & Teacher Training,,,Education & Teaching,Educational Policy,Digital Learning,,,Justin Reich,Elizabeth Huttner-Loan,,,,,,Undergraduate,MITx,English,MITx+0.502x+1T2019,Competency-Based Education,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.502x+1T2019/about,"Many schools across the country are exploring competency-based education (CBE) as a pathway for transforming the school experience. In this course, instructor Justin Reich and the MIT Teaching Systems Lab team will help you develop an understanding of the characteristic elements of CBE and how schools are implementing it. You will learn why so many educators are excited about CBE and its potential for closing opportunity gaps, as well as challenges and concerns. You will get a closer look at what the implementation of CBE looks and feels like for students, teachers, administrators, families, and community members. You will consider the kinds of system-wide shifts necessary to support this innovation in education. -By looking at research and hearing from experts and voices in schools, you will leave the course equipped to start or continue conversations about whether CBE is a good fit in your context.",YES,YES,6,,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.502x+1T2019+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.502x+1T2019+type@asset+block@course_image.png -0.503x,Education & Teacher Training,,,Education & Teaching,Pedagogy and Curriculum,,,,,Justin Reich,H. Richard Milner IV,,,,,,Undergraduate,MITx,English,MITx+0.503x+T2020,Becoming a More Equitable Educator,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.503x+T2020/about,"Every day, teachers make thousands of decisions: what content to teach, what activities to assign, who to call on, how to respond to a student question, how to react to student behavior. These day-to-day decisions can have an enormous effect on the lives of young people, for good and ill. They can open new doors or cause lasting harm; they can make students feel seen and valued, or dampen their interest in school. In this course, we will investigate these interactions, rehearse responding to difficult scenarios, and develop a set of equity teaching mindsets and practices to support all of our learners, especially underserved students. +By looking at research and hearing from experts and voices in schools, you will leave the course equipped to start or continue conversations about whether CBE is a good fit in your context.",YES,YES,6,,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.502x+1T2019+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.502x+1T2019+type@asset+block@course_image.png +0.503x,Education & Teacher Training,,,Education & Teaching,Pedagogy and Curriculum,Digital Learning,,,Justin Reich,H. Richard Milner IV,,,,,,Undergraduate,MITx,English,MITx+0.503x+T2020,Becoming a More Equitable Educator,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.503x+T2020/about,"Every day, teachers make thousands of decisions: what content to teach, what activities to assign, who to call on, how to respond to a student question, how to react to student behavior. These day-to-day decisions can have an enormous effect on the lives of young people, for good and ill. They can open new doors or cause lasting harm; they can make students feel seen and valued, or dampen their interest in school. In this course, we will investigate these interactions, rehearse responding to difficult scenarios, and develop a set of equity teaching mindsets and practices to support all of our learners, especially underserved students. With colleagues from your school or organization and online learners around the world, you will participate in four cycles of inquiry, practice, and action, and then complete a final action project. In each cycle of inquiry, you will examine and re-examine dimensions of inequality through educator mindsets, imagine community change through documentary case studies, rehearse taking action in thorny situations through digital practice spaces, and begin to lead change through action-oriented assignments. Our early investigations will focus on relationships and interactions with individual students, and pan out to examine the effects of bias on classrooms, schools, and communities. As you complete activities with peers online, you will develop a rich set of resources and exercises to use with your students and colleagues in your local context. At the end of the course, you will have a better understanding of yourself and your students, new resources to draw on for helping all students thrive, and a plan to work with your school community to advance the lifelong work of equitable teaching. -We believe that the most rich and rewarding experience in this course is to take it with colleagues, and we encourage you to reach out to a small group who might be interested in taking this course with you. These fellow-learners will understand your context, the students that are in your school, and the culture of the place that you're working with. Even one or two peers can be the start of an equity change cohort in your school or organization.",YES,YES,15,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.503x+T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.503x+T2020+type@asset+block@course_image.jpg -0.504x,Education & Teacher Training,,,Education & Teaching,Pedagogy and Curriculum,,,,,Justin Reich,Sam Wineburg,,,,,,Undergraduate,MITx,English,MITx+0.504x+3T2020,Sorting Truth From Fiction: Civic Online Reasoning,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.504x+3T2020/about,"Fake news and misinformation pose an urgent challenge to citizens across the globe. Multiple studies have shined a light on people’s difficulty in distinguishing truth from fiction, reliable information from sham. As we approach the November 2020 election, we can expect our screens to be flooded, even more so, with digital content that plays fast and loose with the truth. +We believe that the most rich and rewarding experience in this course is to take it with colleagues, and we encourage you to reach out to a small group who might be interested in taking this course with you. These fellow-learners will understand your context, the students that are in your school, and the culture of the place that you're working with. Even one or two peers can be the start of an equity change cohort in your school or organization.",YES,YES,15,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.503x+T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.503x+T2020+type@asset+block@course_image.jpg +0.504x,Education & Teacher Training,,,Education & Teaching,Pedagogy and Curriculum,Digital Learning,,,Justin Reich,Sam Wineburg,,,,,,Undergraduate,MITx,English,MITx+0.504x+3T2020,Sorting Truth From Fiction: Civic Online Reasoning,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.504x+3T2020/about,"Fake news and misinformation pose an urgent challenge to citizens across the globe. Multiple studies have shined a light on people’s difficulty in distinguishing truth from fiction, reliable information from sham. As we approach the November 2020 election, we can expect our screens to be flooded, even more so, with digital content that plays fast and loose with the truth. With educators from around the world and faculty from MIT and Stanford University, you will learn quick and effective practices for evaluating online information that you can bring back to your classroom. The Stanford History Education Group has distilled these practices from observations with professional fact-checkers from the nation’s most prestigious media outlets from across the political spectrum. Using a combination of readings, classroom practice lessons, and assignments, you will learn how to teach the critical thinking skills needed for making wise judgments about web sources. -At the end of the course, you will be better able to help students find reliable sources at a time when we need it most.",YES,,8.7,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.504x+3T2020+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.504x+3T2020+type@asset+block@course_image.png -0.SolveX,Business & Management,,,Business & Management,Entrepreneurship,,,,,Anjali Sastry,,,,,,,Undergraduate,MITx,English,MITx+0.SolveX+2T2021,Business and Impact Planning for Social Enterprises,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.SolveX+2T2021/about,"People in every corner of the world are innovating to solve social and environmental problems in their communities. In the past decade, new programs like MIT Solve have emerged to support those social entrepreneurs and drive partnerships to accelerate their impact. However, many startups find it difficult to develop business plans that clearly communicate their work and impact — vital factors in securing funding and other growth opportunities. +At the end of the course, you will be better able to help students find reliable sources at a time when we need it most.",YES,,8.7,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.504x+3T2020+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.504x+3T2020+type@asset+block@course_image.png +0.SolveX,Business & Management,,,Business & Management,Entrepreneurship,Digital Learning ,,,Anjali Sastry,,,,,,,Undergraduate,MITx,English,MITx+0.SolveX+2T2021,Business and Impact Planning for Social Enterprises,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+0.SolveX+2T2021/about,"People in every corner of the world are innovating to solve social and environmental problems in their communities. In the past decade, new programs like MIT Solve have emerged to support those social entrepreneurs and drive partnerships to accelerate their impact. However, many startups find it difficult to develop business plans that clearly communicate their work and impact — vital factors in securing funding and other growth opportunities. This six-week course helps early-stage social impact startups define three key aspects of their business: @@ -42,16 +42,16 @@ What is Solve? Solve is an initiative of the Massachusetts Institute of Technology (MIT) with a mission to solve world challenges. Solve is a marketplace for social impact innovation. Through open innovation Challenges, Solve finds incredible tech-based social entrepreneurs all around the world. Solve then brings together MIT’s innovation ecosystem and a community of Members to fund and support these entrepreneurs to help them drive lasting, transformational impact. Join Solve on this journey at solve.mit.edu. -",YES,,6.4,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.SolveX+2T2021+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.SolveX+2T2021+type@asset+block@course_image.png -11.154x,Education & Teacher Training,,,Education & Teaching,Faculty Leadership,,,,,Justin Reich,Peter Senge,,,,,,Graduate,MITx,English,MITx+11.154x+3T2018,Launching Innovation in Schools,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.154x+3T2018/about,"Every great teacher and every great school constantly work towards creating better learning conditions for students. Just as we hope our students become lifelong learners, we as educators should be constantly learning and improving. This education course is for school leaders of all kinds (from teacher-leaders to principals to superintendents) who are launching innovation in schools—starting new efforts to work together to improve teaching and learning. +",YES,,6.4,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.SolveX+2T2021+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+0.SolveX+2T2021+type@asset+block@course_image.png +11.154x,Education & Teacher Training,,,Education & Teaching,Faculty Leadership,Educational Technology,,,Justin Reich,Peter Senge,,,,,,Graduate,MITx,English,MITx+11.154x+3T2018,Launching Innovation in Schools,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.154x+3T2018/about,"Every great teacher and every great school constantly work towards creating better learning conditions for students. Just as we hope our students become lifelong learners, we as educators should be constantly learning and improving. This education course is for school leaders of all kinds (from teacher-leaders to principals to superintendents) who are launching innovation in schools—starting new efforts to work together to improve teaching and learning. You will complete a cycle of study, experimentation, and reflection to gain confidence and skills to lead instructional improvement efforts. Through experiential activities and assignments, you will begin working with colleagues to envision the next level of work for your team or organization, to launch a new initiative, and to measure your progress along the way. Based on the work of Justin Reich (Teaching Systems Lab, MIT) and Peter Senge (MIT Sloan), this course will focus on visioning and capacity-building, with an emphasis on collaboration and building partnerships with stakeholders at multiple levels. At the end of the course, you will have started the process of launching an instructional improvement initiative in your school or learning environment, and you will better understand yourself as a leader and change agent. You will have made connections with peers who are also undertaking this important work. This course has been funded by Microsoft and is part of the Microsoft K-12 Education Leadership initiative developed to provide resources to K-12 school leaders around the world as they address the unique needs of their schools in a changing educational and technology landscape. -",YES,,13,2,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.154x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.154x+3T2018+type@asset+block@course_image.jpg -11.155x,Education & Teacher Training,,,Education & Teaching,Education Policy,,,,,Justin Reich,Elizabeth Huttner-Loan,Alyssa Napier,,,,,Graduate,MITx,English,MITx+11.155x+1T2019,Design Thinking for Leading and Learning,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.155x+1T2019/about,"How do we prepare K-12 students and learning communities to be as successful as possible? If future jobs require creativity, problem-solving, and communication, how do we teach these skills in meaningful ways? How do we bring together passionate school leaders to create systemic solutions to educational challenges? Come explore these questions and more in Design Thinking for Leading and Learning. +",YES,,13,2,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.154x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.154x+3T2018+type@asset+block@course_image.jpg +11.155x,Education & Teacher Training,,,Education & Teaching,Educational Policy,Systems Thinking,,,Justin Reich,Elizabeth Huttner-Loan,Alyssa Napier,,,,,Graduate,MITx,English,MITx+11.155x+1T2019,Design Thinking for Leading and Learning,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.155x+1T2019/about,"How do we prepare K-12 students and learning communities to be as successful as possible? If future jobs require creativity, problem-solving, and communication, how do we teach these skills in meaningful ways? How do we bring together passionate school leaders to create systemic solutions to educational challenges? Come explore these questions and more in Design Thinking for Leading and Learning. The course is organized into three sections that combine design thinking content with real-world education examples, as well as opportunities for learners to apply concepts in their own setting. @@ -61,8 +61,8 @@ Unit 2: Design Thinking for Students. Examples of how and why PK-12 educators us Unit 3: Design Thinking for Schools. Examples of how and why PK-12 institutions and their partners use design thinking to address systemic change. Learners will develop an action plan to experiment using the design process to address a problem in their own school communities. -This course has been funded by Microsoft and is part of the Microsoft K-12 Education Leadership initiative developed to provide resources to K-12 school leaders around the world as they address the unique needs of their schools in a changing educational and technology landscape.",YES,,6,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.155x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.155x+1T2019+type@asset+block@course_image.jpg -11.405x,Business & Management,,,Social Sciences,Economics,Business & Management,Finance & Accounting,,,J. Phillip Thompson,Katrin Kaeufer,Lily Steponaitis,Calvin Thompson,,,,Undergraduate,MITx,English,MITx+11.405x+2T2020,Just Money: Banking as if Society Mattered,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.405x+2T2020/about,"Do you know what your bank does with your money? What is the role of a bank in producing societal well-being? +This course has been funded by Microsoft and is part of the Microsoft K-12 Education Leadership initiative developed to provide resources to K-12 school leaders around the world as they address the unique needs of their schools in a changing educational and technology landscape.",YES,,6,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.155x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.155x+1T2019+type@asset+block@course_image.jpg +11.405x,Business & Management,,,Social Sciences,Economics,Urban Studies,,,J. Phillip Thompson,Katrin Kaeufer,Lily Steponaitis,Calvin Thompson,,,,Undergraduate,MITx,English,MITx+11.405x+2T2020,Just Money: Banking as if Society Mattered,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.405x+2T2020/about,"Do you know what your bank does with your money? What is the role of a bank in producing societal well-being? This course looks into banks that operate differently, namely, “just banks"" that use capital and finance as a tool to address social and ecological challenges. @@ -70,8 +70,8 @@ This course is for anyone who wants to understand the unique role banks play as The instructors of this course have worked for over 15 years with just banks from around the world, as well as in the fields of community development, economic democracy, and social change. -No previous knowledge of finance or banking is needed to take this course.",YES,,25.3,3.5,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.405x+2T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.405x+2T2020+type@asset+block@course_image.jpg -11.550x,Engineering,,,Engineering ,Systems Engineering,,,,,Chris Zegras,Robin Chase,"Natalia Barbour,",,,,,Undergraduate,MITx,English,MITx+11.550x+1T2021,Leveraging Urban Mobility Disruptions to Create Better Cities,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.550x+1T2021/about,"Over the next 8 sessions, this course will explore a wide variety of topics that relate to emerging new mobility systems and learn how new mobility can be leveraged to address and promote equity, improve health outcomes, and increase accessibility. The course material is designed to have a global impact by taking advantage of an established network of academic partners and practitioners, each bringing relevant expertise and representing distinct empirical settings. The international nature of this course will allow you to gain multiple social perspectives and familiarity with transportation challenges and solutions from different parts of the world. +No previous knowledge of finance or banking is needed to take this course.",YES,,25.3,3.5,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.405x+2T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.405x+2T2020+type@asset+block@course_image.jpg +11.550x,Engineering,,,Engineering ,Systems Engineering,Urban Studies,,,Chris Zegras,Robin Chase,"Natalia Barbour,",,,,,Undergraduate,MITx,English,MITx+11.550x+1T2021,Leveraging Urban Mobility Disruptions to Create Better Cities,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+11.550x+1T2021/about,"Over the next 8 sessions, this course will explore a wide variety of topics that relate to emerging new mobility systems and learn how new mobility can be leveraged to address and promote equity, improve health outcomes, and increase accessibility. The course material is designed to have a global impact by taking advantage of an established network of academic partners and practitioners, each bringing relevant expertise and representing distinct empirical settings. The international nature of this course will allow you to gain multiple social perspectives and familiarity with transportation challenges and solutions from different parts of the world. Guided by the Shared Mobility Principles for Livable Cities and taught by transportation professors from Europe, Asia, Latin America, Africa, and the United States, the course provides insights into urban mobility challenges and opportunities and how the emerging new mobility paradigm can be effectively leveraged to create better, more equitable cities. The course is led by a team including Chris Zegras (MIT), Jinhua Zhao (MIT), Carlos Pardo (NUMO), and mobility entrepreneur Robin Chase, and features interviews with preeminent entrepreneurs, city planners, community development experts, and mobility justice advocates. @@ -79,8 +79,8 @@ Topics will include land use and urban form, new mobility business models, prici This course is recommended to professionals, government officials, and anyone else currently in the field of transportation or urban planning, but also is open to those interested in learning more about this topic. -",YES,,10.1,6,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.550x+1T2021+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.550x+1T2021+type@asset+block@course_image.jpg -12.340x,Energy & Earth Sciences,,,Science & Math,Earth Science,,,,,Kerry Emanuel,Dan Cziczo,David McGee,,,,,Undergraduate,MITx,English,MITx+12.340x+1T2020,Global Warming Science,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+12.340x+1T2020/about,"12.340x introduces the basic science underpinning our knowledge of the climate system, how climate has changed in the past, and how it may change in the future. The course focuses on the fundamental energy balance in the climate system, between incoming solar radiation and outgoing infrared radiation, and how this balance is affected by greenhouse gases. We will also discuss physical processes that shape the climate, such as atmospheric and oceanic convection and large-scale circulation, solar variability, orbital mechanics, and aerosols, as well as the evidence for past and present climate change. We will discuss climate models of varying degrees of complexity, and you will be able to run a model of a single column of the Earth's atmosphere, which includes many of the important elements of simulating climate change. Together, this range of topics forms the scientific basis for our understanding of anthropogenic (human-influenced) climate change. +",YES,,10.1,6,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.550x+1T2021+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+11.550x+1T2021+type@asset+block@course_image.jpg +12.340x,Energy & Earth Sciences,,,Science & Math,Earth Science,Climate Science ,,,Kerry Emanuel,Dan Cziczo,David McGee,,,,,Undergraduate,MITx,English,MITx+12.340x+1T2020,Global Warming Science,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+12.340x+1T2020/about,"12.340x introduces the basic science underpinning our knowledge of the climate system, how climate has changed in the past, and how it may change in the future. The course focuses on the fundamental energy balance in the climate system, between incoming solar radiation and outgoing infrared radiation, and how this balance is affected by greenhouse gases. We will also discuss physical processes that shape the climate, such as atmospheric and oceanic convection and large-scale circulation, solar variability, orbital mechanics, and aerosols, as well as the evidence for past and present climate change. We will discuss climate models of varying degrees of complexity, and you will be able to run a model of a single column of the Earth's atmosphere, which includes many of the important elements of simulating climate change. Together, this range of topics forms the scientific basis for our understanding of anthropogenic (human-influenced) climate change. We will not cover issues regarding policy responses to climate change. Rather, Global Warming Science is designed to be a strictly scientific introduction to this important topic. @@ -88,33 +88,34 @@ We will not cover issues regarding policy responses to climate change. Rather, G Course Structure The course will be divided into weekly sections which will be released sequentially. Each section will include a set of lecture videos and practice exercises that students will be expected to work through. Additional background readings may be assigned, all of which will be sourced from material freely available online. The course will be graded based on weekly online problem sets, as well as an online final exam. -",YES,,13.3,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+12.340x+1T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+12.340x+1T2020+type@asset+block@course_image.jpg -15.053x,Math,,,Science & Math,Mathematics,,,,,James Orlin,Khizar Qureshi,,,,,,Undergraduate,MITx,English,MITx+15.053x+3T2016,Optimization Methods in Business Analytics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.053x+3T2016/about,"Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization. Linear and integer programming will be taught both algebraically and geometrically, and then applied to problems involving data. Students will develop an understanding of algebraic formulations, and use Julia/JuMP for computation. Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus. +",YES,,13.3,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+12.340x+1T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+12.340x+1T2020+type@asset+block@course_image.jpg +15.053x,Math,,,Science & Math,Mathematics,Operations,,,James Orlin,Khizar Qureshi,,,,,,Undergraduate,MITx,English,MITx+15.053x+3T2016,Optimization Methods in Business Analytics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.053x+3T2016/about,"Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization. Linear and integer programming will be taught both algebraically and geometrically, and then applied to problems involving data. Students will develop an understanding of algebraic formulations, and use Julia/JuMP for computation. Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus. The recommended audience for this course is undergraduates, as well as professionals interested in using optimization software. The content in this course has applications in logistics, marketing, project management, finance, statistics and machine learning. Most of the course material will be covered in lecture and recitation videos, and only an optional textbook, available at no cost, will be used. -Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15.053 Spring 2013. The topics of the 2013 subject were optimization modeling, algorithms, and theory. As a six week subject, 15.053x covers about half of the material of the 2013 subject. The primary focus of 15.053x is optimization modeling.",YES,,6.4,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.053x+3T2016+type@asset+block@15.053xCourseImage_copy.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.053x+3T2016+type@asset+block@15.053xCourseImage_copy.png -15.480x,Biology & Life Sciences,Business & Management,Economics & Finance,Science & Math,Biology,,,,,Andrew W. Lo,Harvey F. Lodish,Zied Ben Chaouch,,,,,Undergraduate,MITx,English,MITx+15.480x+3T2021,The Science and Business of Biotechnology,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.480x+3T2021/about,"This course focuses on early-stage biotechnology companies, with particular emphasis on understanding the underlying science, technology, and disease targets—together with the application of novel business structures and financing methods—to facilitate drug discovery, clinical development, and greater patient access to new therapies. +Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15.053 Spring 2013. The topics of the 2013 subject were optimization modeling, algorithms, and theory. As a six week subject, 15.053x covers about half of the material of the 2013 subject. The primary focus of 15.053x is optimization modeling.",YES,,6.4,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.053x+3T2016+type@asset+block@15.053xCourseImage_copy.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.053x+3T2016+type@asset+block@15.053xCourseImage_copy.png +15.480x,Biology & Life Sciences,Business & Management,Economics & Finance,Science & Math,Biology,Finance & Accounting,,,Andrew W. Lo,Harvey F. Lodish,Zied Ben Chaouch,,,,,Undergraduate,MITx,English,MITx+15.480x+3T2021,The Science and Business of Biotechnology,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.480x+3T2021/about,"This course focuses on early-stage biotechnology companies, with particular emphasis on understanding the underlying science, technology, and disease targets—together with the application of novel business structures and financing methods—to facilitate drug discovery, clinical development, and greater patient access to new therapies. Current research is enhancing our understanding of the genetic, molecular, and cellular bases of many human diseases, and is leading to many new types of biotherapeutics that we will cover in this course, including recombinant therapeutic proteins; monoclonal antibodies and antibody drug conjugates; cancer immunotherapies, replacement cells and genetically engineered cells; and nucleic acid and gene therapies. Translating these discoveries into drugs and diagnostics increasingly requires the establishment of for-profit companies, but funding for early-stage development of novel therapies is becoming scarcer, especially for therapeutics for “rare” diseases that affect small populations. The dearth of funding for early-stage biotherapeutics companies in the so-called “Valley of Death” can be attributed to several factors, but a common thread is increasing financial risks in the biopharma industry and greater uncertainty surrounding the scientific, medical, economic, political, and academic environments within the biomedical ecosystem. Increasing risk and uncertainty inevitably leads to an outflow of capital as investors and other stakeholders seek more attractive opportunities in other industries. By applying financial techniques such as portfolio theory, securitization, and derivative securities to biomedical contexts, more efficient business and funding structures can be developed to reduce financial risks, lower the cost of capital, and bring more life-saving therapies to patients faster. Thus this course will also cover basic financial analysis for the life-sciences professional; the historical financial risks and returns of the biotech and pharmaceutical industries; the evaluation of the science and business potential as well as the mechanics of financing biotech startups; capital budgeting for biopharmaceutical companies; and applications of financial engineering in drug royalty investment companies, biomedical megafunds, drug approval swaps, and life sciences investment banking. -",YES,,50.1,6,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.480x+3T2021+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.480x+3T2021+type@asset+block@course_image.jpg -15.481x,Economics & Finance,Health & Safety,,Business & Management,Organizations & Leadership,,,,,Andrew W. Lo,Zied Ben Chaouch,,,,,,Graduate,MITx,English,MITx+15.481x+1T2021,Adaptive Markets: Financial Market Dynamics and Human Behavior,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.481x+1T2021/about,"This course focuses on early-stage biotechnology companies, with particular emphasis on understanding the underlying science, technology, and disease targets—together with the application of novel business structures and financing methods—to facilitate drug discovery, clinical development, and greater patient access to new therapies. +",YES,,50.1,6,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.480x+3T2021+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.480x+3T2021+type@asset+block@course_image.jpg +15.481x,Economics & Finance,Health & Safety,,Business & Management,Organizations & Leadership,Finance & Accounting,,,Andrew W. Lo,Zied Ben Chaouch,,,,,,Graduate,MITx,English,MITx+15.481x+1T2021,Adaptive Markets: Financial Market Dynamics and Human Behavior,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.481x+1T2021/about,"This course focuses on early-stage biotechnology companies, with particular emphasis on understanding the underlying science, technology, and disease targets—together with the application of novel business structures and financing methods—to facilitate drug discovery, clinical development, and greater patient access to new therapies. Current research is enhancing our understanding of the genetic, molecular, and cellular bases of many human diseases, and is leading to many new types of biotherapeutics that we will cover in this course, including recombinant therapeutic proteins; monoclonal antibodies and antibody drug conjugates; cancer immunotherapies, replacement cells and genetically engineered cells; and nucleic acid and gene therapies. Translating these discoveries into drugs and diagnostics increasingly requires the establishment of for-profit companies, but funding for early-stage development of novel therapies is becoming scarcer, especially for therapeutics for “rare” diseases that affect small populations. The dearth of funding for early-stage biotherapeutics companies in the so-called “Valley of Death” can be attributed to several factors, but a common thread is increasing financial risks in the biopharma industry and greater uncertainty surrounding the scientific, medical, economic, political, and academic environments within the biomedical ecosystem. Increasing risk and uncertainty inevitably leads to an outflow of capital as investors and other stakeholders seek more attractive opportunities in other industries. By applying financial techniques such as portfolio theory, securitization, and derivative securities to biomedical contexts, more efficient business and funding structures can be developed to reduce financial risks, lower the cost of capital, and bring more life-saving therapies to patients faster. Thus this course will also cover basic financial analysis for the life-sciences professional; the historical financial risks and returns of the biotech and pharmaceutical industries; the evaluation of the science and business potential as well as the mechanics of financing biotech startups; capital budgeting for biopharmaceutical companies; and applications of financial engineering in drug royalty investment companies, biomedical megafunds, drug approval swaps, and life sciences investment banking. -",YES,,52.3,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.481x+1T2021+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.481x+1T2021+type@asset+block@course_image.png -15.482x,Biology & Life Sciences,Business & Management,Economics & Finance,Science & Math,Biology,,,,,Andrew W. Lo,Shomesh Chaudhuri,Zied Ben Chaouch,,,,,Undergraduate,MITx,English,MITx+15.482x+1T2019,Healthcare Finance,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.482x+1T2019/about,"Funding for fundamental science and early-stage translational medicine is becoming scarcer, and at the worst possible time—when we now have the scientific and engineering expertise to make major breakthroughs in our understanding of the molecular basis of many deadly diseases and how to treat or prevent them. The dearth of funding for translational medicine in the so-called “Valley of Death” can be attributed to several factors, but a common thread among them is increasing financial risks in the biopharma industry and greater uncertainty surrounding the economic, regulatory, and political environments within the biomedical ecosystem. Increasing risk and uncertainty inevitably leads to an outflow of capital as investors and other stakeholders seek more attractive opportunities in other industries. +",YES,,52.3,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.481x+1T2021+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.481x+1T2021+type@asset+block@course_image.png +15.482x,Biology & Life Sciences,Business & Management,Economics & Finance,Science & Math,Biology,Finance & Accounting,,,Andrew W. Lo,Shomesh Chaudhuri,Zied Ben Chaouch,,,,,Undergraduate,MITx,English,MITx+15.482x+1T2019,Healthcare Finance,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+15.482x+1T2019/about,"Funding for fundamental science and early-stage translational medicine is becoming scarcer, and at the worst possible time—when we now have the scientific and engineering expertise to make major breakthroughs in our understanding of the molecular basis of many deadly diseases and how to treat or prevent them. The dearth of funding for translational medicine in the so-called “Valley of Death” can be attributed to several factors, but a common thread among them is increasing financial risks in the biopharma industry and greater uncertainty surrounding the economic, regulatory, and political environments within the biomedical ecosystem. Increasing risk and uncertainty inevitably leads to an outflow of capital as investors and other stakeholders seek more attractive opportunities in other industries. -By applying financial techniques such as portfolio theory, securitization, and option pricing to biomedical contexts, more efficient funding structures can be developed to reduce financial risks, lower the cost of capital, and bring more life-saving therapies to patients faster. By taking this course, students will gain the background, resources, and framework to influence the healthcare industry.",YES,,13,6,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.482x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.482x+1T2019+type@asset+block@course_image.jpg -16.00x,Engineering,,,Engineering ,Aerospace Engineering,,,,,Jeffrey Hoffman,,,,,,,Undergraduate,MITx,English,MITx+16.00x+2T2019,Introduction to Aerospace Engineering: Astronautics and Human Spaceflight,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+16.00x+2T2019/about,"Spaceflight is exciting, and you don’t have to be a “Rocket Scientist” to share in the excitement! 16.00x makes the basics of spaceflight accessible to everyone. Join MIT Professor Jeffrey Hoffman, a former NASA astronaut who made five spaceflights and was the first astronaut to log 1000 hours on the Space Shuttle, as he teaches you the core principles behind space travel and exploration. The course will cover how rockets work, how spacecraft move in orbit, how we create artificial environments inside spacecraft to keep astronauts alive and healthy, what it’s like living in a world without gravity, how the human body adapts to space, and how spacewalks happen, plus more. Many lessons will be illustrated with Professor Hoffman’s own experiences in space. -",YES,,8,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.00x+2T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.00x+2T2019+type@asset+block@course_image.jpg -16.885x,Engineering,,,Engineering ,Aerospace Engineering,,,,,Jeffrey Hoffman,Aaron Cohen,,,,,,Graduate,MITx,English,MITx+16.885x+3T2019,Engineering the Space Shuttle,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+16.885x+3T2019/about,"For 30 years the Space Shuttle enabled human spaceflight in the United States and partner nations. Learn all about the Shuttle with this unique course, which also serves as a unique historical record. Since the lecturers are the same people who designed, built and operated the Shuttle, this is a first-hand testimonial to the world’s first reusable spacecraft. +By applying financial techniques such as portfolio theory, securitization, and option pricing to biomedical contexts, more efficient funding structures can be developed to reduce financial risks, lower the cost of capital, and bring more life-saving therapies to patients faster. By taking this course, students will gain the background, resources, and framework to influence the healthcare industry.",YES,,13,6,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.482x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+15.482x+1T2019+type@asset+block@course_image.jpg +16.00x,Engineering,,,Engineering ,Aerospace Engineering,"Mechanical Engineering +",,,Jeffrey Hoffman,,,,,,,Undergraduate,MITx,English,MITx+16.00x+2T2019,Introduction to Aerospace Engineering: Astronautics and Human Spaceflight,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+16.00x+2T2019/about,"Spaceflight is exciting, and you don’t have to be a “Rocket Scientist” to share in the excitement! 16.00x makes the basics of spaceflight accessible to everyone. Join MIT Professor Jeffrey Hoffman, a former NASA astronaut who made five spaceflights and was the first astronaut to log 1000 hours on the Space Shuttle, as he teaches you the core principles behind space travel and exploration. The course will cover how rockets work, how spacecraft move in orbit, how we create artificial environments inside spacecraft to keep astronauts alive and healthy, what it’s like living in a world without gravity, how the human body adapts to space, and how spacewalks happen, plus more. Many lessons will be illustrated with Professor Hoffman’s own experiences in space. +",YES,,8,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.00x+2T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.00x+2T2019+type@asset+block@course_image.jpg +16.885x,Engineering,,,Engineering ,Aerospace Engineering,Systems Engineering,,,Jeffrey Hoffman,Aaron Cohen,,,,,,Graduate,MITx,English,MITx+16.885x+3T2019,Engineering the Space Shuttle,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+16.885x+3T2019/about,"For 30 years the Space Shuttle enabled human spaceflight in the United States and partner nations. Learn all about the Shuttle with this unique course, which also serves as a unique historical record. Since the lecturers are the same people who designed, built and operated the Shuttle, this is a first-hand testimonial to the world’s first reusable spacecraft. This course examines how the Space Shuttle was designed and how its design was influenced by economics and politics. The course goes into detail on many of the Shuttle’s subsystems (e.g. rocket engines, thermal protection, aerodynamics, environmental control and life support, communications, etc.) and explains how the Shuttle was operated (launch, mission control, payloads, etc.). The course also uses the Space Shuttle to present the fundamentals of Systems Engineering. @@ -124,8 +125,8 @@ In addition, understanding how the Shuttle was first conceived and how it achiev The lectures are organized in three fundamental sections: history and policy, technical design of Shuttle systems, and how the Shuttle was operated. Although the sections relate to one another, students can benefit from any of the sections independently. -This course does not require advanced mathematics. It is targeted to students with a variety of interests including the history of human spaceflight, space policy, the design of human spaceflight systems, the operation of complex space systems, and principles of systems engineering.",YES,,12,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.885x+3T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.885x+3T2019+type@asset+block@course_image.jpg -18.01.1x,Math,,,Science & Math,Mathematics,,,,,David Jerison,Gigliola Staffilani,Jennifer French Kamrin,Stephen Wang,,,,High School,MITx,English,MITx+18.01.1x+2T2019,Calculus 1A: Differentiation,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.1x+2T2019/about,"How does the final velocity on a zip line change when the starting point is raised or lowered by a matter of centimeters? What is the accuracy of a GPS position measurement? How fast should an airplane travel to minimize fuel consumption? The answers to all of these questions involve the derivative. +This course does not require advanced mathematics. It is targeted to students with a variety of interests including the history of human spaceflight, space policy, the design of human spaceflight systems, the operation of complex space systems, and principles of systems engineering.",YES,,12,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.885x+3T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+16.885x+3T2019+type@asset+block@course_image.jpg +18.01.1x,Math,,,Science & Math,Mathematics,Algorithms and Data Structures,,,David Jerison,Gigliola Staffilani,Jennifer French Kamrin,Stephen Wang,,,,High School,MITx,English,MITx+18.01.1x+2T2019,Calculus 1A: Differentiation,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.1x+2T2019/about,"How does the final velocity on a zip line change when the starting point is raised or lowered by a matter of centimeters? What is the accuracy of a GPS position measurement? How fast should an airplane travel to minimize fuel consumption? The answers to all of these questions involve the derivative. But what is the derivative? You will learn its mathematical notation, physical meaning, geometric interpretation, and be able to move fluently between these representations of the derivative. You will discover how to differentiate any function you can think up, and develop a powerful intuition to be able to sketch the graph of many functions. You will make linear and quadratic approximations of functions to simplify computations and gain intuition for system behavior. You will learn to maximize and minimize functions to optimize properties like cost, efficiency, energy, and power. @@ -138,8 +139,8 @@ Learn more about our High School and AP* Exam Preparation Courses This course was funded in part by the Wertheimer Fund. *Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings. -",YES,,12,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.1x+2T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.1x+2T2019+type@asset+block@course_image.jpg -18.01.2x,Math,,,Science & Math,Mathematics,,,,,David Jerison,Gigliola Staffilani,Jennifer French Kamrin,Karene Chu,,,,High School,MITx,English,MITx+18.01.2x+3T2019,Calculus 1B: Integration,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.2x+3T2019/about,"How long should the handle of your spoon be so that your fingers do not burn while mixing chocolate fondue? Can you find a shape that has finite volume, but infinite surface area? How does the weight of the rider change the trajectory of a zip line ride? These and many other questions can be answered by harnessing the power of the integral. +",YES,,12,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.1x+2T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.1x+2T2019+type@asset+block@course_image.jpg +18.01.2x,Math,,,Science & Math,Mathematics,Algorithms and Data Structures,,,David Jerison,Gigliola Staffilani,Jennifer French Kamrin,Karene Chu,,,,High School,MITx,English,MITx+18.01.2x+3T2019,Calculus 1B: Integration,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.2x+3T2019/about,"How long should the handle of your spoon be so that your fingers do not burn while mixing chocolate fondue? Can you find a shape that has finite volume, but infinite surface area? How does the weight of the rider change the trajectory of a zip line ride? These and many other questions can be answered by harnessing the power of the integral. But what is an integral? You will learn to interpret it geometrically as an area under a graph, and discover its connection to the derivative. You will encounter functions that you cannot integrate without a computer and develop a big bag of tricks to attack the functions that you can integrate by hand. The integral is vital in engineering design, scientific analysis, probability and statistics. You will use integrals to find centers of mass, the stress on a beam during construction, the power exerted by a motor, and the distance traveled by a rocket. @@ -151,8 +152,8 @@ Learn more about our High School and AP* Exam Preparation Courses This course was funded in part by the Wertheimer Fund. -*Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.",YES,,16,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.2x+3T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.2x+3T2019+type@asset+block@course_image.jpg -18.01.3x,Math,,,Science & Math,Mathematics,,,,,David Jerison,Gigliola Staffilani,Jennifer French Kamrin,Karene Chu,,,,Undergraduate,MITx,English,MITx+18.01.3x+1T2020,Calculus 1C: Coordinate Systems & Infinite Series,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.3x+1T2020/about,"How did Newton describe the orbits of the planets? To do this, he created calculus. But he used a different coordinate system more appropriate for planetary motion. We will learn to shift our perspective to do calculus with parameterized curves and polar coordinates. And then we will dive deep into exploring the infinite to gain a deeper understanding and powerful descriptions of functions. +*Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.",YES,,16,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.2x+3T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.2x+3T2019+type@asset+block@course_image.jpg +18.01.3x,Math,,,Science & Math,Mathematics,Algorithms and Data Structures,,,David Jerison,Gigliola Staffilani,Jennifer French Kamrin,Karene Chu,,,,Undergraduate,MITx,English,MITx+18.01.3x+1T2020,Calculus 1C: Coordinate Systems & Infinite Series,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.3x+1T2020/about,"How did Newton describe the orbits of the planets? To do this, he created calculus. But he used a different coordinate system more appropriate for planetary motion. We will learn to shift our perspective to do calculus with parameterized curves and polar coordinates. And then we will dive deep into exploring the infinite to gain a deeper understanding and powerful descriptions of functions. How does a computer make accurate computations? Absolute precision does not exist in the real world, and computers cannot handle infinitesimals or infinity. Fortunately, just as we approximate numbers using the decimal system, we can approximate functions using series of much simpler functions. These approximations provide a powerful framework for scientific computing and still give highly accurate results. They allow us to solve all sorts of engineering problems based on models of our world represented in the language of calculus. @@ -172,18 +173,18 @@ This course was funded in part by the Wertheimer Fund. *Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings. -",YES,,13,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.3x+1T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.3x+1T2020+type@asset+block@course_image.jpg -18.06SC,,,,Science & Math,Mathematics,,,Science & Math,Mathematics,Gilbert Strang,,,,,,,Undergraduate,OCW,English,OCW+18.06SC+2T2019,Linear Algebra,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+18.06SC+2T2019/about,"This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. The concepts of linear algebra are extremely useful in physics, economics and social sciences, natural sciences, and engineering. Due to its broad range of applications, linear algebra is one of the most widely taught subjects in college-level mathematics (and increasingly in high school). +",YES,,13,8,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.3x+1T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+18.01.3x+1T2020+type@asset+block@course_image.jpg +18.06SC,,,,Science & Math,Mathematics,Algorithms and Data Structures ,Science & Math,Mathematics,Gilbert Strang,,,,,,,Undergraduate,OCW,English,OCW+18.06SC+2T2019,Linear Algebra,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+18.06SC+2T2019/about,"This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. The concepts of linear algebra are extremely useful in physics, economics and social sciences, natural sciences, and engineering. Due to its broad range of applications, linear algebra is one of the most widely taught subjects in college-level mathematics (and increasingly in high school). -",YES,YES,13,,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.06SC+2T2019+type@asset+block@LinearAlgebra18.06.jpg,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.06SC+2T2019+type@asset+block@LinearAlgebra18.06.jpg -22.011x,Energy & Earth Sciences,Engineering,Science,Science & Math,Earth Science,,,,,Jacopo Buongiorno,Anne White,Michael Short,John Parsons,,,,Undergraduate,MITx,English,MITx+22.011x+3T2018,"Nuclear Energy: Science, Systems and Society",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+22.011x+3T2018/about,"Nuclear Energy: Science, Systems and Society offers an introduction to the basic physics of nuclear energy and radiation, with an emphasis on the unique attributes and challenges of nuclear energy as a low-carbon solution. Peaceful applications of ionizing radiation to help mankind, such as reactors for materials science research, nuclear medicine, and security initiatives, will be introduced. +",YES,YES,13,,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.06SC+2T2019+type@asset+block@LinearAlgebra18.06.jpg,https://openlearninglibrary.mit.edu/asset-v1:OCW+18.06SC+2T2019+type@asset+block@LinearAlgebra18.06.jpg +22.011x,Energy & Earth Sciences,Engineering,Science,Science & Math,Earth Science,Nuclear Engineering,,,Jacopo Buongiorno,Anne White,Michael Short,John Parsons,,,,Undergraduate,MITx,English,MITx+22.011x+3T2018,"Nuclear Energy: Science, Systems and Society",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+22.011x+3T2018/about,"Nuclear Energy: Science, Systems and Society offers an introduction to the basic physics of nuclear energy and radiation, with an emphasis on the unique attributes and challenges of nuclear energy as a low-carbon solution. Peaceful applications of ionizing radiation to help mankind, such as reactors for materials science research, nuclear medicine, and security initiatives, will be introduced. The course will explore fission energy, establishing the scientific, engineering, and economic basis for fission reactors, and will describe the state of the art in nuclear reactor technology. We will also learn about magnetic fusion energy research, with lectures covering the scientific and engineering basis of tokamaks, the state of the art in world fusion experiments, and the MIT vision for high-magnetic field fusion reactor. -In addition, the course also includes an optional hands-on section, where you will be able to acquire radiation detectors and use them to explore radiation in the world around them, using guided exercises available on-line.",YES,,9,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+22.011x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+22.011x+3T2018+type@asset+block@course_image.jpg -24.02x,Philosophy & Ethics,,,Humanities,Philosophy,,,,,Caspar Hare,Tamar Schapiro,Kieran Setiya,Cosmo Grant,David Balcarras,,,High School,MITx,English,MITx+24.02x+2T2020,Introduction to Ethics: Moral Problems and the Good Life,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+24.02x+2T2020/about,"This course has two goals. The first goal is to introduce you to key questions in ethics. +In addition, the course also includes an optional hands-on section, where you will be able to acquire radiation detectors and use them to explore radiation in the world around them, using guided exercises available on-line.",YES,,9,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+22.011x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+22.011x+3T2018+type@asset+block@course_image.jpg +24.02x,Philosophy & Ethics,,,Humanities,Philosophy,Cognitive Science,,,Caspar Hare,Tamar Schapiro,Kieran Setiya,Cosmo Grant,David Balcarras,,,High School,MITx,English,MITx+24.02x+2T2020,Introduction to Ethics: Moral Problems and the Good Life,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+24.02x+2T2020/about,"This course has two goals. The first goal is to introduce you to key questions in ethics. What makes your life go better or worse for you? Can ethics be objective? @@ -192,15 +193,15 @@ What do you owe to others? The second goal is to get you thinking rigorously about ethical questions yourself. This will help you develop your critical reasoning and argumentative skills more generally. Studying philosophy is valuable in itself, but it’s also excellent preparation for a wide variety of other fields. Philosophy majors do exceptionally well in the GRE, GMAT and LSAT, for example. -",YES,,11.3,7,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.02x+2T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.02x+2T2020+type@asset+block@course_image.jpg -24.09x,Philosophy & Ethics,,,Humanities,Philosophy,,,,,Alex Byrne,Cosmo Grant,,,,,,Undergraduate,MITx,English,MITx+24.09x+3T2019,Minds and Machines,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+24.09x+3T2019/about,"What is the relationship between the mind and the body? Can computers think? Do we perceive reality as it is? Can there be a science of consciousness? +",YES,,11.3,7,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.02x+2T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.02x+2T2020+type@asset+block@course_image.jpg +24.09x,Philosophy & Ethics,,,Humanities,Philosophy,Cognitive Science,,,Alex Byrne,Cosmo Grant,,,,,,Undergraduate,MITx,English,MITx+24.09x+3T2019,Minds and Machines,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+24.09x+3T2019/about,"What is the relationship between the mind and the body? Can computers think? Do we perceive reality as it is? Can there be a science of consciousness? This course explores these questions and others. It is a thorough, rigorous introduction to contemporary philosophy of mind. According to many scientists and philosophers, explaining the nature of consciousness is the deepest intellectual challenge of all. If you find consciousness at all puzzling, this is a great place to start learning more. -",YES,,12.6,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.09x+3T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.09x+3T2019+type@asset+block@course_image.jpg -24.118x,Philosophy & Ethics,,,Humanities,Philosophy,,,,,Agustín Rayo,David Balcarras,Cosmo Grant,,,,,Undergraduate,MITx,English,MITx+24.118x+2T2020,Paradox and Infinity,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+24.118x+2T2020/about,"In Paradox and Infinity, you will be introduced to highlights from the intersection of philosophy and mathematics. +",YES,,12.6,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.09x+3T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.09x+3T2019+type@asset+block@course_image.jpg +24.118x,Philosophy & Ethics,,,Humanities,Philosophy,Cognitive Science,,,Agustín Rayo,David Balcarras,Cosmo Grant,,,,,Undergraduate,MITx,English,MITx+24.118x+2T2020,Paradox and Infinity,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+24.118x+2T2020/about,"In Paradox and Infinity, you will be introduced to highlights from the intersection of philosophy and mathematics. The class is divided into three modules: @@ -211,75 +212,75 @@ Paradox and Infinity is a math-heavy class, which presupposes that you feel comf Learners who display exceptional performance in the class are eligible to win the MITx Philosophy Award. High School students are eligible for that award and, in addition, the MITx High School Philosophy award. Please see the FAQ section below for additional information. -Note: learners who do well in Paradox will have typically taken at least a couple of college-level classes in mathematics or computer science. On the other hand, Paradox does not presuppose familiarity with any particular branch of mathematics or computer science. You just need to feel comfortable in a mathematical setting.",YES,,11.1,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.118x+2T2020+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.118x+2T2020+type@asset+block@course_image.png -3.012S.1x,Chemistry,Engineering,Science,Science & Math,Chemistry,,,,,Silvija Gradečak,,,,,,,Undergraduate,MITx,English,MITx+3.012S.1x+1T2019,"Structure of Materials, Part 1: Fundamentals of Materials Structure",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.012S.1x+1T2019/about,"Structure – or the arrangement of materials’ internal components – determines virtually everything about a material: its properties, its potential applications, and its performance within those applications. This course is the first in a three-part series from MIT’s Department of Materials Science and Engineering that explores the structure of a wide variety of materials with current-day engineering applications. Taken together, these three courses provide similar content to MIT’s sophomore-level materials structure curriculum. +Note: learners who do well in Paradox will have typically taken at least a couple of college-level classes in mathematics or computer science. On the other hand, Paradox does not presuppose familiarity with any particular branch of mathematics or computer science. You just need to feel comfortable in a mathematical setting.",YES,,11.1,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.118x+2T2020+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+24.118x+2T2020+type@asset+block@course_image.png +3.012S.1x,Chemistry,Engineering,Science,Science & Math,Chemistry,Materials Science and Engineering,,,Silvija Gradečak,,,,,,,Undergraduate,MITx,English,MITx+3.012S.1x+1T2019,"Structure of Materials, Part 1: Fundamentals of Materials Structure",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.012S.1x+1T2019/about,"Structure – or the arrangement of materials’ internal components – determines virtually everything about a material: its properties, its potential applications, and its performance within those applications. This course is the first in a three-part series from MIT’s Department of Materials Science and Engineering that explores the structure of a wide variety of materials with current-day engineering applications. Taken together, these three courses provide similar content to MIT’s sophomore-level materials structure curriculum. Part 1 begins with an introduction to amorphous materials. We explore glasses and polymers, learn about the factors that influence their structure, and learn how materials scientists measure and describe the structure of these materials. Then we begin a discussion of the crystalline state, exploring what it means for a material to be crystalline, how we describe periodic arrangement of atoms in a crystal, and how we can determine the structure of crystals through x-ray diffraction. -If you would like to explore the structure of materials further, we encourage you to enroll in Part 2 and Part 3 of the course.",YES,,6,7,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.1x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.1x+1T2019+type@asset+block@course_image.jpg -3.012S.2x,Chemistry,Engineering,Science,Science & Math,Chemistry,,,,,Silvija Gradečak,,,,,,,Undergraduate,MITx,English,MITx+3.012S.2x+1T2019,"Structure of Materials, Part 2: The Crystalline State",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.012S.2x+1T2019/about,"Structure – or the arrangement of materials’ internal components – determines virtually everything about a material: its properties, its potential applications, and its performance within those applications. This course is the first in a three-part series from MIT’s Department of Materials Science and Engineering that explores the structure of a wide variety of materials with current-day engineering applications. Taken together, these three courses provide similar content to MIT’s sophomore-level materials structure curriculum. +If you would like to explore the structure of materials further, we encourage you to enroll in Part 2 and Part 3 of the course.",YES,,6,7,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.1x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.1x+1T2019+type@asset+block@course_image.jpg +3.012S.2x,Chemistry,Engineering,Science,Science & Math,Chemistry,Materials Science and Engineering,,,Silvija Gradečak,,,,,,,Undergraduate,MITx,English,MITx+3.012S.2x+1T2019,"Structure of Materials, Part 2: The Crystalline State",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.012S.2x+1T2019/about,"Structure – or the arrangement of materials’ internal components – determines virtually everything about a material: its properties, its potential applications, and its performance within those applications. This course is the first in a three-part series from MIT’s Department of Materials Science and Engineering that explores the structure of a wide variety of materials with current-day engineering applications. Taken together, these three courses provide similar content to MIT’s sophomore-level materials structure curriculum. Part 1 begins with an introduction to amorphous materials. We explore glasses and polymers, learn about the factors that influence their structure, and learn how materials scientists measure and describe the structure of these materials. Then we begin a discussion of the crystalline state, exploring what it means for a material to be crystalline, how we describe periodic arrangement of atoms in a crystal, and how we can determine the structure of crystals through x-ray diffraction. -If you would like to explore the structure of materials further, we encourage you to enroll in Part 2 and Part 3 of the course.",YES,,5,9,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.2x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.2x+1T2019+type@asset+block@course_image.jpg -3.012S.3x,Chemistry,Engineering,Science,Science & Math,Chemistry,,,,,Silvija Gradečak,,,,,,,Undergraduate,MITx,English,MITx+3.012S.3x+1T2019,"Structure of Materials, Part 3: Liquid Crystals, Defects, and Diffusion",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.012S.3x+1T2019/about,"Structure determines so much about a material: its properties, its potential applications, and its performance within those applications. This course is the finale in a three-part series from MIT’s Department of Materials Science and Engineering that explores the structure of a wide variety of materials with current-day engineering applications. Taken together, these three courses provide similar content to MIT’s sophomore-level materials structure curriculum. +If you would like to explore the structure of materials further, we encourage you to enroll in Part 2 and Part 3 of the course.",YES,,5,9,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.2x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.2x+1T2019+type@asset+block@course_image.jpg +3.012S.3x,Chemistry,Engineering,Science,Science & Math,Chemistry,Materials Science and Engineering,,,Silvija Gradečak,,,,,,,Undergraduate,MITx,English,MITx+3.012S.3x+1T2019,"Structure of Materials, Part 3: Liquid Crystals, Defects, and Diffusion",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.012S.3x+1T2019/about,"Structure determines so much about a material: its properties, its potential applications, and its performance within those applications. This course is the finale in a three-part series from MIT’s Department of Materials Science and Engineering that explores the structure of a wide variety of materials with current-day engineering applications. Taken together, these three courses provide similar content to MIT’s sophomore-level materials structure curriculum. Part 3 begins with an exploration of quasi-, plastic, and liquid crystals. Next, we will learn how properties of materials are influenced and can be modified by structural defects. We will show that point defects are present in all crystals at finite temperatures and how their presence governs diffusion in materials. Next, we will explore dislocations in materials. We will introduce the descriptors that are used to describe dislocations, we will learn about dislocation motion and consider how dislocations dramatically affect the strength of materials. Finally, we will explore how defects can be used to strengthen materials, and we will learn about the properties of other structural defects such as stacking faults and grain boundaries. -",YES,,6,7,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.3x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.3x+1T2019+type@asset+block@course_image.jpg -3.15.1x,Engineering,,,Engineering,Materials Science and Engineering,,,,,Caroline Ross,,,,,,,Undergraduate,MITx,English,MITX+3.15.1x+2T2017,Electronic Materials and Devices,https://openlearninglibrary.mit.edu/courses/course-v1:MITX+3.15.1x+2T2017/about,"In this engineering course, you will learn about diodes, bipolar junction transistors, MOSFETs and semiconductor properties. +",YES,,6,7,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.3x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.012S.3x+1T2019+type@asset+block@course_image.jpg +3.15.1x,Engineering,,,Engineering,Materials Science and Engineering,Electrical Engineering,,,Caroline Ross,,,,,,,Undergraduate,MITx,English,MITX+3.15.1x+2T2017,Electronic Materials and Devices,https://openlearninglibrary.mit.edu/courses/course-v1:MITX+3.15.1x+2T2017/about,"In this engineering course, you will learn about diodes, bipolar junction transistors, MOSFETs and semiconductor properties. -This course is part 1 of a series that explain the basis of the electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. You will learn how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.",YES,,5,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png -3.15.2x,Engineering,,,Engineering,Materials Science and Engineering,,,,,Caroline Ross,,,,,,,Undergraduate,MITx,English,MITx+3.15.2x+2T2017,Optical Materials and Devices,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.15.2x+2T2017/about,"In this engineering course, you will learn about photodetectors, solar cells (photovoltaics), displays, light emitting diodes, lasers, optical fibers, optical communications, and photonic devices. +This course is part 1 of a series that explain the basis of the electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. You will learn how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.",YES,,5,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png +3.15.2x,Engineering,,,Engineering,Materials Science and Engineering,Electrical Engineering,,,Caroline Ross,,,,,,,Undergraduate,MITx,English,MITx+3.15.2x+2T2017,Optical Materials and Devices,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.15.2x+2T2017/about,"In this engineering course, you will learn about photodetectors, solar cells (photovoltaics), displays, light emitting diodes, lasers, optical fibers, optical communications, and photonic devices. -This course is part of a three-part series, which explains the basis of the electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. We will show how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.",YES,,6,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png -3.15.3x,Engineering,,,Engineering,Materials Science and Engineering,,,,,Caroline Ross,,,,,,,Undergraduate,MITx,English,MITx+3.15.3x+2T2017,Magnetic Materials and Devices,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.15.3x+2T2017/about,"In this engineering course, you will learn about magnetic materials and devices. Applications presented include magnetic data storage, motors, transformers, and spintronics. +This course is part of a three-part series, which explains the basis of the electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. We will show how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.",YES,,6,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.2x+2T2017+type@asset+block@315Thumbnail.png +3.15.3x,Engineering,,,Engineering,Materials Science and Engineering,Electrical Engineering,,,Caroline Ross,,,,,,,Undergraduate,MITx,English,MITx+3.15.3x+2T2017,Magnetic Materials and Devices,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+3.15.3x+2T2017/about,"In this engineering course, you will learn about magnetic materials and devices. Applications presented include magnetic data storage, motors, transformers, and spintronics. -This course is part of a three-part series, which explains the basis of electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. We will show how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.",YES,,5,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.3x+2T2017+type@asset+block@315Thumbnail.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.3x+2T2017+type@asset+block@315Thumbnail.png -6.005.1x,Computer Science,,,"Data Science, Analytics & Computer Technology",Software Design and Engineering,,,,,Rob Miller,,,,,,,Undergraduate,MITx,English,MITx+6.005.1x+3T2016,Software Construction in Java,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.005.1x+3T2016/about,"This computer science course is the first of a two-course sequence about writing good software using modern software engineering techniques. +This course is part of a three-part series, which explains the basis of electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. We will show how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.",YES,,5,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.3x+2T2017+type@asset+block@315Thumbnail.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+3.15.3x+2T2017+type@asset+block@315Thumbnail.png +6.005.1x,Computer Science,,,"Data Science, Analytics & Computer Technology",Software Design and Engineering,Programming & Coding,,,Rob Miller,,,,,,,Undergraduate,MITx,English,MITx+6.005.1x+3T2016,Software Construction in Java,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.005.1x+3T2016/about,"This computer science course is the first of a two-course sequence about writing good software using modern software engineering techniques. In this course, you will learn what software engineers mean by ""good"" code -- safe from bugs, easy to understand, and ready for change. You will also learn ways to make your code better, including testing, specifications, code review, exceptions, immutability, abstract data types, and interfaces. -This is a challenging and rigorous course that will help you take the next step on your way to becoming a skilled software engineer.",YES,YES,12,15,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.1x+3T2016+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.1x+3T2016+type@asset+block@course_image.jpg -6.005.2x,Computer Science,,,"Data Science, Analytics & Computer Technology",Software Design and Engineering,,,,,Rob Miller,,,,,,,Undergraduate,MITx,English,MITx+6.005.2x+1T2017,Advanced Software Construction in Java,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.005.2x+1T2017/about,"This computer science course is the second of a two-course sequence on how to write good software using modern software engineering techniques. +This is a challenging and rigorous course that will help you take the next step on your way to becoming a skilled software engineer.",YES,YES,12,15,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.1x+3T2016+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.1x+3T2016+type@asset+block@course_image.jpg +6.005.2x,Computer Science,,,"Data Science, Analytics & Computer Technology",Software Design and Engineering,Programming & Coding,,,Rob Miller,,,,,,,Undergraduate,MITx,English,MITx+6.005.2x+1T2017,Advanced Software Construction in Java,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.005.2x+1T2017/about,"This computer science course is the second of a two-course sequence on how to write good software using modern software engineering techniques. This course will dig deeper into what makes for ""good"" code -- safe from bugs, easy to understand, and ready for change. We will explore two paradigms for modern programming: (1) grammars, parsing, and recursive datatypes; and (2) concurrent programming with threads. This is a challenging and rigorous course that will help you take the next step on your way to becoming a skilled software engineer. -",YES,YES,10,15,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.2x+1T2017+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.2x+1T2017+type@asset+block@course_image.jpg -6.036x,Computer Science,,,"Data Science, Analytics & Computer Technology",Machine Learning,,,,,Leslie Kaelbling,Tomás Lozano-Pérez,Isaac Chuang,Duane Boning,,,,Undergraduate,MITx,English,MITx+6.036+1T2019,Introduction to Machine Learning,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about,"This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences. +",YES,YES,10,15,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.2x+1T2017+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.005.2x+1T2017+type@asset+block@course_image.jpg +6.036x,Computer Science,,,"Data Science, Analytics & Computer Technology",Machine Learning,Algorithms and Data Structures ,,,Leslie Kaelbling,Tomás Lozano-Pérez,Isaac Chuang,Duane Boning,,,,Undergraduate,MITx,English,MITx+6.036+1T2019,Introduction to Machine Learning,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about,"This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences. -",YES,,6,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.036+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.036+1T2019+type@asset+block@course_image.jpg -6.042J,,,,"Data Science, Analytics & Computer Technology",Computer Science,,,"Data Science, Analytics & Computer Technology",Computer,Albert Meyer,Adam Chlipala,,,,,,Undergraduate,OCW,English,OCW+6.042J+2T2019,Mathematics for Computer Science,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/about,"This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: +",YES,,6,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.036+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+6.036+1T2019+type@asset+block@course_image.jpg +6.042J,,,,"Data Science, Analytics & Computer Technology",Computer Science,Mathematics,"Data Science, Analytics & Computer Technology",Computer,Albert Meyer,Adam Chlipala,,,,,,Undergraduate,OCW,English,OCW+6.042J+2T2019,Mathematics for Computer Science,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/about,"This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: Fundamental concepts of mathematics: Definitions, proofs, sets, functions, relations. Discrete structures: graphs, state machines, modular arithmetic, counting. Discrete probability theory. -On completion of 6.042J, students will be able to explain and apply the basic methods of discrete (noncontinuous) mathematics in computer science. They will be able to use these methods in subsequent courses in the design and analysis of algorithms, computability theory, software engineering, and computer systems.",YES,YES,9,,https://openlearninglibrary.mit.edu/asset-v1:OCW+6.042J+2T2019+type@asset+block@6.042J_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:OCW+6.042J+2T2019+type@asset+block@6.042J_image.jpg -7.InTr_1,,,,Education & Teaching,Pedagogy and Curriculum,,,Education & Teaching,Pedagogy and Curriculum,,,,,,,,Undergraduate,OCW,English,MITx+7.InT+2021_Fall,Inclusive Teaching Module,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+7.InT+2021_Fall/about,"Welcome to the Inclusive Teaching Module! We are so glad you are joining us. The Inclusive Teaching Module is both a standalone online resource for those looking to explore materials related to inclusive teaching as well as an integral part of a blended workshop available to use at your own institution. If you are looking to facilitate a blended workshop using this material, please navigate to the Facilitation Guide and Appendix section from the course outline to get started!",YES,YES,2,,https://openlearninglibrary.mit.edu/asset-v1:MITx+7.InT+2021_Fall+type@asset+block@7.InT_course_image-03.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+7.InT+2021_Fall+type@asset+block@7.InT_course_image-03.png -8.01.1x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,George Stephans,Anna Frebel,,Undergraduate,MITx,English,MITx+8.01.1x+3T2018,Mechanics: Kinematics and Dynamics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.1x+3T2018/about,"Mechanics is the study of the physics of motion and how it relates to applied forces. It lays the foundation of understanding the world around us through the how and why of motion. This physics course is the first in a series of modules that covers calculus-based mechanics. This module reviews kinematics (the geometrical description of motion) in the context of one-dimensional, multi-dimensional, and circular motion. It also reviews Newton’s laws of motion and examines their application to a wide variety of cases.",YES,,6,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.1x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.1x+3T2018+type@asset+block@course_image.jpg -8.01.2x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,George Stephans,Anna Frebel,,Undergraduate,MITx,English,MITx+8.01.2x+3T2018,Mechanics: Momentum and Energy,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.2x+3T2018/about,"This course is the second of a series of modules that cover calculus-based mechanics. You will learn about the concepts of momentum, impulse, energy, and work, as well as the powerful idea of conservation laws. You will apply these concepts to solve interesting mechanics problems such as collisions and rockets.",YES,,9,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.2x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.2x+3T2018+type@asset+block@course_image.jpg -8.01.3x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,George Stephans,Anna Frebel,,Undergraduate,MITx,English,MITx+8.01.3x+1T2019,Mechanics: Rotational Dynamics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.3x+1T2019/about,"This course is the third of a series of modules that cover calculus-based mechanics. You will explore rotational motion and learn about the concepts of torque and angular momentum. You will learn about the conservation of angular momentum, and use it with other conservation laws to solve complex problems in rotational dynamics. +On completion of 6.042J, students will be able to explain and apply the basic methods of discrete (noncontinuous) mathematics in computer science. They will be able to use these methods in subsequent courses in the design and analysis of algorithms, computability theory, software engineering, and computer systems.",YES,YES,9,,https://openlearninglibrary.mit.edu/asset-v1:OCW+6.042J+2T2019+type@asset+block@6.042J_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:OCW+6.042J+2T2019+type@asset+block@6.042J_image.jpg +7.InTr_1,,,,Education & Teaching,Pedagogy and Curriculum,Educational Technology,Education & Teaching,Pedagogy and Curriculum,,,,,,,,Undergraduate,OCW,English,MITx+7.InT+2021_Fall,Inclusive Teaching Module,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+7.InT+2021_Fall/about,"Welcome to the Inclusive Teaching Module! We are so glad you are joining us. The Inclusive Teaching Module is both a standalone online resource for those looking to explore materials related to inclusive teaching as well as an integral part of a blended workshop available to use at your own institution. If you are looking to facilitate a blended workshop using this material, please navigate to the Facilitation Guide and Appendix section from the course outline to get started!",YES,YES,2,,https://openlearninglibrary.mit.edu/asset-v1:MITx+7.InT+2021_Fall+type@asset+block@7.InT_course_image-03.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+7.InT+2021_Fall+type@asset+block@7.InT_course_image-03.png +8.01.1x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,George Stephans,Anna Frebel,,Undergraduate,MITx,English,MITx+8.01.1x+3T2018,Mechanics: Kinematics and Dynamics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.1x+3T2018/about,"Mechanics is the study of the physics of motion and how it relates to applied forces. It lays the foundation of understanding the world around us through the how and why of motion. This physics course is the first in a series of modules that covers calculus-based mechanics. This module reviews kinematics (the geometrical description of motion) in the context of one-dimensional, multi-dimensional, and circular motion. It also reviews Newton’s laws of motion and examines their application to a wide variety of cases.",YES,,6,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.1x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.1x+3T2018+type@asset+block@course_image.jpg +8.01.2x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,George Stephans,Anna Frebel,,Undergraduate,MITx,English,MITx+8.01.2x+3T2018,Mechanics: Momentum and Energy,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.2x+3T2018/about,"This course is the second of a series of modules that cover calculus-based mechanics. You will learn about the concepts of momentum, impulse, energy, and work, as well as the powerful idea of conservation laws. You will apply these concepts to solve interesting mechanics problems such as collisions and rockets.",YES,,9,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.2x+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.2x+3T2018+type@asset+block@course_image.jpg +8.01.3x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,George Stephans,Anna Frebel,,Undergraduate,MITx,English,MITx+8.01.3x+1T2019,Mechanics: Rotational Dynamics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.3x+1T2019/about,"This course is the third of a series of modules that cover calculus-based mechanics. You will explore rotational motion and learn about the concepts of torque and angular momentum. You will learn about the conservation of angular momentum, and use it with other conservation laws to solve complex problems in rotational dynamics. -",YES,,6,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.3x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.3x+1T2019+type@asset+block@course_image.jpg -8.01.4x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,Aidan MacDonagh,,,Undergraduate,MITx,English,MITx+8.01.4x+1T2019,Mechanics: Simple Harmonic Motion,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.4x+1T2019/about,This is the fourth of a series of modules that cover calculus-based mechanics. You will explore simple harmonic motion through springs and pendulums. This short course will culminate in the ability to use the Taylor Formula to approximate a variety of other situations as simple harmonic motion.,YES,,4,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.4x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.4x+1T2019+type@asset+block@course_image.jpg -8.02.1x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Robert Redwine,Krishna Rajagopal,Kerstin Perez,,Undergraduate,MITx,English,MITx+8.02.1x+1T2019,Electricity and Magnetism: Electrostatics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.02.1x+1T2019/about,"Electricity and Magnetism dominate much of the world around us – from the most fundamental processes in nature to cutting edge electronic devices. Electric and magnet fields arise from charged particles. Charged particles also feel forces in electric and magnetic fields. Maxwell’s equations, in addition to describing this behavior, also describe electromagnetic radiation. In this course, we focus on Electrostatics. We examine the forces between charges, electric fields, and electric potential, looking at different ways of calculating each. We also look at dipoles and the difference between conductors and insulators. The course ends by explaining capacitors and dielectrics.",YES,,7.1,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.1x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.1x+1T2019+type@asset+block@course_image.jpg -8.02.2x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Peter Dourmashkin,Krishna Rajagopal,Kerstin Perez,Analia Barrantes,Michelle Tomasik,Robert Redwin,,Undergraduate,MITx,English,MITx+8.02.2x+2T2018,Electricity and Magnetism: Magnetic Fields and Forces,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.02.2x+2T2018/about,"Electricity and Magnetism dominate much of the world around us – from the most fundamental processes in nature to cutting edge electronic devices. Electric and magnet fields arise from charged particles. Charged particles also feel forces in electric and magnetic fields. Maxwell’s equations, in addition to describing this behavior, also describes electromagnetic radiation. +",YES,,6,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.3x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.3x+1T2019+type@asset+block@course_image.jpg +8.01.4x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Analia Barrantes,Aidan MacDonagh,,,Undergraduate,MITx,English,MITx+8.01.4x+1T2019,Mechanics: Simple Harmonic Motion,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.01.4x+1T2019/about,This is the fourth of a series of modules that cover calculus-based mechanics. You will explore simple harmonic motion through springs and pendulums. This short course will culminate in the ability to use the Taylor Formula to approximate a variety of other situations as simple harmonic motion.,YES,,4,11,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.4x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.01.4x+1T2019+type@asset+block@course_image.jpg +8.02.1x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Peter Dourmashkin,Deepto Charkrabarty,Michelle Tomasik,Robert Redwine,Krishna Rajagopal,Kerstin Perez,,Undergraduate,MITx,English,MITx+8.02.1x+1T2019,Electricity and Magnetism: Electrostatics,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.02.1x+1T2019/about,"Electricity and Magnetism dominate much of the world around us – from the most fundamental processes in nature to cutting edge electronic devices. Electric and magnet fields arise from charged particles. Charged particles also feel forces in electric and magnetic fields. Maxwell’s equations, in addition to describing this behavior, also describe electromagnetic radiation. In this course, we focus on Electrostatics. We examine the forces between charges, electric fields, and electric potential, looking at different ways of calculating each. We also look at dipoles and the difference between conductors and insulators. The course ends by explaining capacitors and dielectrics.",YES,,7.1,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.1x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.1x+1T2019+type@asset+block@course_image.jpg +8.02.2x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Peter Dourmashkin,Krishna Rajagopal,Kerstin Perez,Analia Barrantes,Michelle Tomasik,Robert Redwin,,Undergraduate,MITx,English,MITx+8.02.2x+2T2018,Electricity and Magnetism: Magnetic Fields and Forces,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.02.2x+2T2018/about,"Electricity and Magnetism dominate much of the world around us – from the most fundamental processes in nature to cutting edge electronic devices. Electric and magnet fields arise from charged particles. Charged particles also feel forces in electric and magnetic fields. Maxwell’s equations, in addition to describing this behavior, also describes electromagnetic radiation. In this course, we focus on magnetic fields and forces on charged particles in magnetic fields. We examine different ways of calculating the magnetic field, as well as introducing the ideas of current, resistance and simple direct current (DC) circuits. This is the second module in a series of three that are based on the MIT course: 8.02, Electricity and Magnetism, a required introductory physics class for all MIT undergraduates, which is being offered as an XSeries. Please visit to learn Introductory Electricity and Magnetism XSeries Program Page for more information and to enroll in all three modules. This introductory Electromagnetism physics course will require the use of calculus. -",YES,,6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.2x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.2x+2T2018+type@asset+block@course_image.jpg -8.02.3x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Peter Dourmashkin,Krishna Rajagopal,Kerstin Perez,Analia Barrantes,Michelle Tomasik,Robert Redwin,,Undergraduate,MITx,English,MITx+8.02.3x+1T2019,Electricity and Magnetism: Maxwell’s Equations,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.02.3x+1T2019/about,"Electricity and Magnetism dominate much of the world around us – from the most fundamental processes in nature to cutting edge electronic devices. Electric and Magnet fields arise from charged particles. Charged particles also feel forces in electric and magnetic fields. Maxwell’s equations, in addition to describing this behavior, also describe electromagnetic radiation. +",YES,,6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.2x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.2x+2T2018+type@asset+block@course_image.jpg +8.02.3x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Peter Dourmashkin,Krishna Rajagopal,Kerstin Perez,Analia Barrantes,Michelle Tomasik,Robert Redwin,,Undergraduate,MITx,English,MITx+8.02.3x+1T2019,Electricity and Magnetism: Maxwell’s Equations,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.02.3x+1T2019/about,"Electricity and Magnetism dominate much of the world around us – from the most fundamental processes in nature to cutting edge electronic devices. Electric and Magnet fields arise from charged particles. Charged particles also feel forces in electric and magnetic fields. Maxwell’s equations, in addition to describing this behavior, also describe electromagnetic radiation. In this course, we finish up this introduction to Electricity and Magnetism. We begin by thinking about magnetic fields that change in time, working through Faraday’s Law and Inductors in Circuits. With the addition of Displacement Current, we complete Maxwell’s Equations. We finish the course by exploring the solution to Maxwell’s equations in free space – electromagnetic radiation. -",YES,,7,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.3x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.3x+1T2019+type@asset+block@course_image.jpg -8.03x,Physics,Science,,Science & Math,Physics,Computer Science and Technology,Machine Learning,,,Yen-Jie Lee,Alex Shvonski,Michelle Tomasik,,,,,Undergraduate,MITx,English,MITx+8.03x+1T2020,Vibrations and WavesInstructors Yen-Jie LeeAlex ShvonskiMichelle Tomasik,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.03x+1T2020/about,"A foundational study of waves and vibrations will prepare learners for advanced courses in physics and related fields of engineering. The skills utilized in analyzing these phenomena are applicable to many different systems because vibrations and waves are so ubiquitous. For instance, learners will understand how the “resonant” modes of a tall building are analogous to simple systems of coupled oscillators. Moreover, learners will come to appreciate that the concept of “resonance” applies not only to systems of masses on springs, but to sound waves, 2D surfaces, atoms, and a wide range of other systems. This course explores many properties that are universal to all wave systems as well as many particular cases. +",YES,,7,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.3x+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.02.3x+1T2019+type@asset+block@course_image.jpg +8.03x,Physics,Science,,Science & Math,Physics,Machine Learning,,,Yen-Jie Lee,Alex Shvonski,Michelle Tomasik,,,,,Undergraduate,MITx,English,MITx+8.03x+1T2020,Vibrations and WavesInstructors Yen-Jie LeeAlex ShvonskiMichelle Tomasik,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.03x+1T2020/about,"A foundational study of waves and vibrations will prepare learners for advanced courses in physics and related fields of engineering. The skills utilized in analyzing these phenomena are applicable to many different systems because vibrations and waves are so ubiquitous. For instance, learners will understand how the “resonant” modes of a tall building are analogous to simple systems of coupled oscillators. Moreover, learners will come to appreciate that the concept of “resonance” applies not only to systems of masses on springs, but to sound waves, 2D surfaces, atoms, and a wide range of other systems. This course explores many properties that are universal to all wave systems as well as many particular cases. This course will prepare learners to analyze problems that involve mechanical vibrations and waves with such topics as simple harmonic motion, superposition, damping, forced vibrations and resonance, coupled oscillations, normal modes, continuous systems, reflection and refraction, and phase and group velocities. The course also explores electromagnetic waves and various associated properties like polarization, Snell’s law, Huygens’s principle, interference and diffraction. It ends by giving learners a taste of Quantum Mechanics. -",YES,,18,14,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.03x+1T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.03x+1T2020+type@asset+block@course_image.jpg -8.370.1x,Computer Science,,,"Data Science, Analytics & Computer Technology",Computer Science,,,,,Isaac Chuang,Peter Shor,,,,,,Graduate,MITx,English,MITx+8.370.1x+1T2018,"Quantum Information Science I, Part 1",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.370.1x+1T2018/about,"This course is part of a three-course series that provides an introduction to the theory and practice of quantum computation. We cover: +",YES,,18,14,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.03x+1T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.03x+1T2020+type@asset+block@course_image.jpg +8.370.1x,Computer Science,,,"Data Science, Analytics & Computer Technology",Computer Science,Mathematics,,,Isaac Chuang,Peter Shor,,,,,,Graduate,MITx,English,MITx+8.370.1x+1T2018,"Quantum Information Science I, Part 1",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.370.1x+1T2018/about,"This course is part of a three-course series that provides an introduction to the theory and practice of quantum computation. We cover: the physics of information processing quantum logic quantum algorithms including Shor's factoring algorithm and Grover's search algorithm @@ -295,8 +296,8 @@ Prior knowledge of quantum mechanics is helpful but not required. It is best if This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. MIT gratefully acknowledges major support for this course, provided by IBM Research. This course on quantum information science is a collective effort to further advance knowledge and understanding in quantum information and quantum computing. -For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,4.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.1x+1T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.1x+1T2018+type@asset+block@course_image.jpg -8.370.2x,Physics,,,Science & Math,Physics,,,,,Isaac Chuang,Peter Shor,,,,,,Graduate,MITx,English,MITx+8.370.2x+1T2018,"Quantum Information Science I, Part 2",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.370.2x+1T2018/about,"This course is part of a three-course series that provides an introduction to the theory and practice of quantum computation. This second course builds on the foundational introduction provided in the first course, 8.370.1x, and explores simple quantum protocols and algorithms, including: +For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,4.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.1x+1T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.1x+1T2018+type@asset+block@course_image.jpg +8.370.2x,Physics,,,Science & Math,Physics,Mathematics,,,Isaac Chuang,Peter Shor,,,,,,Graduate,MITx,English,MITx+8.370.2x+1T2018,"Quantum Information Science I, Part 2",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.370.2x+1T2018/about,"This course is part of a three-course series that provides an introduction to the theory and practice of quantum computation. This second course builds on the foundational introduction provided in the first course, 8.370.1x, and explores simple quantum protocols and algorithms, including: Quantum teleportation and superdense coding The Deutsch-Jozsa and Simon's algorithms @@ -311,8 +312,8 @@ The complete three-course series includes: 8.370.3x: Foundations of quantum communication – noise and quantum channels, and quantum key distribution This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. MIT gratefully acknowledges major support for this course, provided by IBM Research. This course on quantum information science is a collective effort to further advance knowledge and understanding in quantum information and quantum computing. -For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,4.6,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.2x+1T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.2x+1T2018+type@asset+block@course_image.jpg -8.370.3x,Computer Science,,,"Data Science, Analytics & Computer Technology",Computer Science,,,,,Isaac Chuang,Peter Shor,,,,,,Graduate,MITx,English,MITx+8.370.3x+1T2018,"Quantum Information Science I, Part 3",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.370.3x+1T2018/about,"This course is the final part of a three-course series that provides an introduction to the theory and practice of quantum computation. This third course builds on the foundational introduction provided in the first course, and the simple quantum protocols provided in the second course, and explores quantum communication, including: +For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,4.6,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.2x+1T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.2x+1T2018+type@asset+block@course_image.jpg +8.370.3x,Computer Science,,,"Data Science, Analytics & Computer Technology",Computer Science,Mathematics,,,Isaac Chuang,Peter Shor,,,,,,Graduate,MITx,English,MITx+8.370.3x+1T2018,"Quantum Information Science I, Part 3",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.370.3x+1T2018/about,"This course is the final part of a three-course series that provides an introduction to the theory and practice of quantum computation. This third course builds on the foundational introduction provided in the first course, and the simple quantum protocols provided in the second course, and explores quantum communication, including: Models of quantum noise and quantum channels Quantum error correction Quantum key distribution @@ -327,8 +328,8 @@ Prior knowledge of quantum mechanics is helpful but not required. It is best if This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. MIT gratefully acknowledges major support for this course, provided by IBM Research. This course on quantum information science is a collective effort to further advance knowledge and understanding in quantum information and quantum computing. -For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,4.6,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.3x+1T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.3x+1T2018+type@asset+block@course_image.jpg -8.371.1x,Physics,,,Science & Math,Physics,,,,,Isaac Chuang,Aram Harrow,,,,,,Graduate,MITx,English,MITx+8.371.1x+2T2018,"Quantum Information Science II, Part 1",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.371.1x+2T2018/about,"This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT. +For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,4.6,10,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.3x+1T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.370.3x+1T2018+type@asset+block@course_image.jpg +8.371.1x,Physics,,,Science & Math,Physics,Mathematics,,,Isaac Chuang,Aram Harrow,,,,,,Graduate,MITx,English,MITx+8.371.1x+2T2018,"Quantum Information Science II, Part 1",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.371.1x+2T2018/about,"This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT. The three modules comprise: 8.371.1x: Quantum states, noise and error correction @@ -340,8 +341,8 @@ A prior course (or strong background) in quantum mechanics is required. Knowled This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. -For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,3.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.1x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.1x+2T2018+type@asset+block@course_image.jpg -8.371.2x,Physics,,,Science & Math,Physics,,,,,Isaac Chuang,Aram Harrow,,,,,,Graduate,MITx,English,MITx+8.371.2x+2T2018,"Quantum Information Science II, Part 2",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.371.2x+2T2018/about,"This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT. +For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,3.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.1x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.1x+2T2018+type@asset+block@course_image.jpg +8.371.2x,Physics,,,Science & Math,Physics,Mathematics,,,Isaac Chuang,Aram Harrow,,,,,,Graduate,MITx,English,MITx+8.371.2x+2T2018,"Quantum Information Science II, Part 2",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.371.2x+2T2018/about,"This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT. The three modules comprise: 8.371.1x: Quantum states, noise and error correction @@ -353,8 +354,8 @@ A prior course (or strong background) in quantum mechanics is required. Knowled This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. -For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,3.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.2x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.2x+2T2018+type@asset+block@course_image.jpg -8.371.3x,Physics,,,Science & Math,Physics,,,,,Isaac Chuang,Aram Harrow,,,,,,Graduate,MITx,English,MITx+8.371.3x+2T2018,"Quantum Information Science II, Part 3",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.371.3x+2T2018/about,"This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT. +For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,3.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.2x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.2x+2T2018+type@asset+block@course_image.jpg +8.371.3x,Physics,,,Science & Math,Physics,Mathematics,,,Isaac Chuang,Aram Harrow,,,,,,Graduate,MITx,English,MITx+8.371.3x+2T2018,"Quantum Information Science II, Part 3",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.371.3x+2T2018/about,"This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT. The three modules comprise: 8.371.1x: Quantum states, noise and error correction @@ -366,8 +367,8 @@ A prior course (or strong background) in quantum mechanics is required. Knowledg This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. -For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,3.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.3x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.3x+2T2018+type@asset+block@course_image.jpg -CITE 101x,Social Sciences,,,Social Sciences,Economics,,,,,Jarrod Goentzel,Daniel Frey,Bishwapriya Sanyal,Jennifer Green,,,,Undergraduate,MITx,English,MITx+CITE101x+2T2017,Technology Evaluation for Global Development,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+CITE101x+2T2017/about,"When a person lives on less than $2 a day — as some 2.7 billion people around the world do — there isn’t room for a product like a solar lantern or a water filter to fail. Investment in failing products undermines future innovation by reducing confidence and depleting scarce resources. +For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu.",YES,,3.6,12,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.3x+2T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+8.371.3x+2T2018+type@asset+block@course_image.jpg +CITE 101x,Social Sciences,,,Social Sciences,Economics,Pedagogy and Curriculum,,,Jarrod Goentzel,Daniel Frey,Bishwapriya Sanyal,Jennifer Green,,,,Undergraduate,MITx,English,MITx+CITE101x+2T2017,Technology Evaluation for Global Development,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+CITE101x+2T2017/about,"When a person lives on less than $2 a day — as some 2.7 billion people around the world do — there isn’t room for a product like a solar lantern or a water filter to fail. Investment in failing products undermines future innovation by reducing confidence and depleting scarce resources. It’s a challenge faced every day by development agencies, nongovernmental organizations (NGOs), and consumers themselves. With so many products on the market, how do you choose the right one? @@ -378,11 +379,11 @@ Scalability—can the supply chain effectively reach consumers? Sustainability—is it a product that can be used correctly, consistently, and continuously over time? This course is designed for academics and global development practitioners; those interested in conducting their own technology evaluations to promote data-driven decisions through research or development practice. -",YES,,8.6,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+CITE101x+2T2017+type@asset+block@CITE101x_SP17_dashboard.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+CITE101x+2T2017+type@asset+block@CITE101x_SP17_dashboard.jpg -EC.745x,Social Sciences,,,Social Sciences,Economics,,,,,Elizabeth Hoffecker,Zoe Dibb,,,,,,Undergraduate,MITx,English,MITx+EC.745X+1T2019,Lean Research Skills for Conducting Interviewing,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+EC.745X+1T2019/about,"Interviews are one of the most common and powerful field research methods, used across a wide variety of disciplines and topics. Whether conducting a research study, an evaluation of an existing product or service, or gathering insights for a business plan, or a design process, interviews are often the method of choice for gaining insights directly from people. The quality of that information, however, depends to a large degree on the skill of the interviewer. +",YES,,8.6,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+CITE101x+2T2017+type@asset+block@CITE101x_SP17_dashboard.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+CITE101x+2T2017+type@asset+block@CITE101x_SP17_dashboard.jpg +EC.745x,Social Sciences,,,Social Sciences,Economics,Pedagogy and Curriculum,,,Elizabeth Hoffecker,Zoe Dibb,,,,,,Undergraduate,MITx,English,MITx+EC.745X+1T2019,Lean Research Skills for Conducting Interviewing,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+EC.745X+1T2019/about,"Interviews are one of the most common and powerful field research methods, used across a wide variety of disciplines and topics. Whether conducting a research study, an evaluation of an existing product or service, or gathering insights for a business plan, or a design process, interviews are often the method of choice for gaining insights directly from people. The quality of that information, however, depends to a large degree on the skill of the interviewer. -This course introduces effective techniques for conducting interviews and is designed to help you develop and strengthen your skills as an interviewer. It does not assume any existing experience conducting interviews, but will quickly take you past the basics and into best practices that incorporate the Lean Research principles of rigor, relevance, respect, and right-size. The course focuses specifically on conducting interviews in “the field” - contexts in which we may be in an unfamiliar setting or culture, such as when traveling abroad or conducting research in a place we haven’t been before.",YES,,8,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+EC.745X+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+EC.745X+1T2019+type@asset+block@course_image.jpg -HST.936x,Computer Science,,,"Data Science, Analytics & Computer Technology",Computer Science,,,,,Leo Anthony Celi,Kenneth Eugene Paik,Alon Dagan,Rodrigo Deliberato,,,,Undergraduate,MITx,English,MITx+HST.936x+1T2019,Global Health Informatics to Improve Quality of Care,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+HST.936x+1T2019/about,"Disease has no respect for country borders and increased global travel has fueled the spread of infectious disease, as evidenced by the Ebola virus epidemic. Chronic diseases such as diabetes and heart disease, initially confined to the developed world, now exist side by side with malnutrition in low- and middle-income countries (LMIC). Global warming is widening the endemicity of vector-borne diseases. +This course introduces effective techniques for conducting interviews and is designed to help you develop and strengthen your skills as an interviewer. It does not assume any existing experience conducting interviews, but will quickly take you past the basics and into best practices that incorporate the Lean Research principles of rigor, relevance, respect, and right-size. The course focuses specifically on conducting interviews in “the field” - contexts in which we may be in an unfamiliar setting or culture, such as when traveling abroad or conducting research in a place we haven’t been before.",YES,,8,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+EC.745X+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+EC.745X+1T2019+type@asset+block@course_image.jpg +HST.936x,Computer Science,,,"Data Science, Analytics & Computer Technology",Computer Science,Health Care Management ,,,Leo Anthony Celi,Kenneth Eugene Paik,Alon Dagan,Rodrigo Deliberato,,,,Undergraduate,MITx,English,MITx+HST.936x+1T2019,Global Health Informatics to Improve Quality of Care,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+HST.936x+1T2019/about,"Disease has no respect for country borders and increased global travel has fueled the spread of infectious disease, as evidenced by the Ebola virus epidemic. Chronic diseases such as diabetes and heart disease, initially confined to the developed world, now exist side by side with malnutrition in low- and middle-income countries (LMIC). Global warming is widening the endemicity of vector-borne diseases. In this course, we will explore ways to leverage information technology to combat disease and promote health, especially in resource-constrained settings. Technology is a driving force that sweeps across nations even faster than disease and with the spread of mobile phones, which bring computational power and data to our fingertips, new paradigms in tracking and battling disease have been discovered. @@ -395,8 +396,8 @@ An information system without an accompanying organizational transformation risk Lastly, we will discuss our attempts to leverage troves of data to define best practice and how we must keep the patient perspective and health at the center of everything we do. This course is targeted toward individuals interested in designing or implementing a health information and communication technology (ICT) solution in the developing world. Implementing a health information technology project requires multidisciplinary teams. Thus, with this course, we hope to bring together individuals from a variety of disciplines—computer science, medicine, engineering, public health, policy, and business. -",YES,,13,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.936x+1T2019+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.936x+1T2019+type@asset+block@course_image.png -HST.953x,Data Analysis & Statistics,Medicine,,"Data Science, Analytics & Computer Technology",Data Science,,,,,Louis Agha-Mir-Salim,Leo Anthony Celi,Marie-Laure Charpignon,,,,,Graduate,MITx,English,MITx+HST.953x+3T2020,Collaborative Data Science for Healthcare,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+HST.953x+3T2020/about,"Research has been traditionally viewed as a purely academic undertaking, especially in limited-resource healthcare systems. Clinical trials, the hallmark of medical research, are expensive to perform, and take place primarily in countries which can afford them. Around the world, the blood pressure thresholds for hypertension, or the blood sugar targets for patients with diabetes, are established based on research performed in a handful of countries. There is an implicit assumption that the findings and validity of studies carried out in the US and other Western countries generalize to patients around the world. +",YES,,13,3,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.936x+1T2019+type@asset+block@course_image.png,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.936x+1T2019+type@asset+block@course_image.png +HST.953x,Data Analysis & Statistics,Medicine,,"Data Science, Analytics & Computer Technology",Data Science,Health Care Management ,,,Louis Agha-Mir-Salim,Leo Anthony Celi,Marie-Laure Charpignon,,,,,Graduate,MITx,English,MITx+HST.953x+3T2020,Collaborative Data Science for Healthcare,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+HST.953x+3T2020/about,"Research has been traditionally viewed as a purely academic undertaking, especially in limited-resource healthcare systems. Clinical trials, the hallmark of medical research, are expensive to perform, and take place primarily in countries which can afford them. Around the world, the blood pressure thresholds for hypertension, or the blood sugar targets for patients with diabetes, are established based on research performed in a handful of countries. There is an implicit assumption that the findings and validity of studies carried out in the US and other Western countries generalize to patients around the world. This course was created by members of MIT Critical Data, a global consortium that consists of healthcare practitioners, computer scientists, and engineers from academia, industry, and government, that seeks to place data and research at the front and center of healthcare operations. @@ -409,15 +410,15 @@ The most daunting global health issues right now are the result of interconnecte We highly recommend that this course be taken as part of a team consisting of clinicians and computer scientists or engineers. Learners from the healthcare sector are likely to have difficulties with the programming aspect while the computer scientists and engineers will not be familiar with the clinical context of the exercises and workshops. The MIT Critical Data team would like to acknowledge the contribution of the following members: Aldo Arevalo, Alistair Johnson, Alon Dagan, Amber Nigam, Amelie Mathusek, Andre Silva, Chaitanya Shivade, Christopher Cosgriff, Christina Chen, Daniel Ebner, Daniel Gruhl, Eric Yamga, Grigorich Schleifer, Haroun Chahed, Jesse Raffa, Jonathan Riesner, Joy Tzung-yu Wu, Kimiko Huang, Lawerence Baker, Marta Fernandes, Mathew Samuel, Philipp Klocke, Pragati Jaiswal, Ryan Kindle, Shrey Lakhotia, Tom Pollard, Yueh-Hsun Chuang, Ziyi Hou. -",YES,,11.9,,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.953x+3T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.953x+3T2020+type@asset+block@course_image.jpg -INNOMITv2,Education & Teacher Training,,,Education & Teaching,Faculty Leadership,,,,,Justin Reich,Peter Senge,,,,,,Graduate,MITx,Spanish,Varkey+INNOMITv2+2020_T1,Cómo Introducir la Innovación en las Escuelas,https://openlearninglibrary.mit.edu/courses/course-v1:Varkey+INNOMITv2+2020_T1/about,"Cada gran maestro y cada gran escuela trabajan permanentemente para mejorar el proceso de aprendizaje de sus estudiantes. Al igual que esperamos que nuestros estudiantes se conviertan en aprendices de por vida, nosotros, como educadores, debemos aprender y mejorar de modo constante. Este curso está destinado a líderes escolares de todo tipo (maestros, preceptores, directores, entre otros) que están impulsando procesos de innovación en sus escuelas. +",YES,,11.9,,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.953x+3T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+HST.953x+3T2020+type@asset+block@course_image.jpg +INNOMITv2,Education & Teacher Training,,,Education & Teaching,Faculty Leadership,Innovation Process ,,,Justin Reich,Peter Senge,,,,,,Graduate,MITx,Spanish,Varkey+INNOMITv2+2020_T1,Cómo Introducir la Innovación en las Escuelas,https://openlearninglibrary.mit.edu/courses/course-v1:Varkey+INNOMITv2+2020_T1/about,"Cada gran maestro y cada gran escuela trabajan permanentemente para mejorar el proceso de aprendizaje de sus estudiantes. Al igual que esperamos que nuestros estudiantes se conviertan en aprendices de por vida, nosotros, como educadores, debemos aprender y mejorar de modo constante. Este curso está destinado a líderes escolares de todo tipo (maestros, preceptores, directores, entre otros) que están impulsando procesos de innovación en sus escuelas. A través de este curso, recorrerás un ciclo de estudio, experimentación y reflexión para ganar confianza y enriquecer tus habilidades para liderar los esfuerzos de mejora del aprendizaje de tu escuela. A través de actividades basadas en la reflexión y el hacer, comenzarás a trabajar con otros colegas con el objetivo de impulsar una nueva iniciativa en tu escuela y medir su progreso en el camino. Basado en el trabajo de Justin Reich (Teaching Systems Lab, MIT) y Peter Senge (MIT Sloan), este curso se enfocará en la visión y el desarrollo de competencias, con énfasis en la colaboración y la creación de vínculos con partes interesadas. Al finalizar este curso, iniciarás el proceso de implementación de una iniciativa de mejora de la enseñanza y el aprendizaje en tu escuela, identificándote como líder y agente de transformación de tu establecimiento. Asimismo, estrecharás vínculos con colegas de otras instituciones que están liderando esta misma tarea. -Este curso ha sido financiado por Microsoft y es parte de la iniciativa de Liderazgo en Educación de K-12 de Microsoft, desarrollada para brindar herramientas a los líderes escolares del nivel primario y secundario en todo el mundo, mientras abordan las necesidades particulares de sus escuelas en un entorno educativo y tecnológico cambiante.",YES,YES,13,2,https://openlearninglibrary.mit.edu/asset-v1:Varkey+INNOMITv2+2020_T1+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:Varkey+INNOMITv2+2020_T1+type@asset+block@course_image.jpg -JPAL350x,Social Sciences,Health & Safety,,Social Sciences,Policy and Administration,,,,,Dr. Vandana Sharma,,,,,,,Undergraduate,MITx,English,MITx+JPAL350x+3T2020,Measuring Health Outcomes in Field Surveys,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+JPAL350x+3T2020/about,"Travel with our team to India and Kenya to see first-hand how rigorous health research is conducted in the field. This course will focus on the fundamentals of field-based health research with an emphasis on measuring health outcomes in low-resource settings. The course includes real-world examples from J-PAL research studies in India and Kenya, combined with exercises to provide practical insights about study design, measurement of health outcomes and data collection, as well as the common challenges and constraints in implementing health surveys. Through a series of integrated learning modules, the course covers topics such as: +Este curso ha sido financiado por Microsoft y es parte de la iniciativa de Liderazgo en Educación de K-12 de Microsoft, desarrollada para brindar herramientas a los líderes escolares del nivel primario y secundario en todo el mundo, mientras abordan las necesidades particulares de sus escuelas en un entorno educativo y tecnológico cambiante.",YES,YES,13,2,https://openlearninglibrary.mit.edu/asset-v1:Varkey+INNOMITv2+2020_T1+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:Varkey+INNOMITv2+2020_T1+type@asset+block@course_image.jpg +JPAL350x,Social Sciences,Health & Safety,,Social Sciences,Policy and Administration,Economics,,,Dr. Vandana Sharma,,,,,,,Undergraduate,MITx,English,MITx+JPAL350x+3T2020,Measuring Health Outcomes in Field Surveys,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+JPAL350x+3T2020/about,"Travel with our team to India and Kenya to see first-hand how rigorous health research is conducted in the field. This course will focus on the fundamentals of field-based health research with an emphasis on measuring health outcomes in low-resource settings. The course includes real-world examples from J-PAL research studies in India and Kenya, combined with exercises to provide practical insights about study design, measurement of health outcomes and data collection, as well as the common challenges and constraints in implementing health surveys. Through a series of integrated learning modules, the course covers topics such as: Measuring individual and population health Selecting health indicators @@ -427,17 +428,17 @@ Ethical issues JPAL350x is designed for people from a variety of backgrounds including those who are new to health research as well as managers and researchers from international development organizations, foundations, governments and non-governmental organizations from around the world. As a self-paced course, learners can access materials at any time. Please note that no certificates can be earned for courses on Open Learning Library. -",YES,,11.1,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+JPAL350x+3T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+JPAL350x+3T2020+type@asset+block@course_image.jpg -Pre_7.01r,,,,Science & Math,Biology,,,Science & Math,Biology,Hazel Sive,Diviya Ray,,,,,,Undergraduate,OCW,English,OCW+Pre-7.01+1T2020,Getting up to Speed in Biology,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+Pre-7.01+1T2020/about,This self-paced course was originally designed to help prepare incoming MIT students for their first Introductory Biology course (known at MIT as 7.01). It will also be useful for anyone preparing to take an equivalent college-level introductory biology class elsewhere.,YES,YES,3,,https://openlearninglibrary.mit.edu/asset-v1:OCW+Pre-7.01+1T2020+type@asset+block@Picture1.png,https://openlearninglibrary.mit.edu/asset-v1:OCW+Pre-7.01+1T2020+type@asset+block@Picture1.png -VJx,Art & Culture,History,,"Art, Design & Architecture",Art History,,,,,John W. Dower,Andrew Gordon,Shigeru Miyagawa,Gennifer Weisenfeld,,,,Undergraduate,MITx,English,MITx+VJx+3T2018,"Visualizing Japan (1850s-1930s): Westernization, Protest, Modernity",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+VJx+3T2018/about,"This MITx course was developed in collaboration with HarvardX and is co-taught by MIT, Harvard, and Duke historians. You will examine Japanese history in a new way—through the images created by those who were there—and the skills and questions involved in reading history through images in the digital format. The introductory module considers methodologies historians use to “visualize” the past, followed by three modules that explore the themes of Westernization, in Commodore Perry’s 1853-54 expedition to Japan; social protest, in Tokyo’s 1905 Hibiya Riot; and modernity, as seen in the archives of the major Japanese cosmetics company, Shiseido. +",YES,,11.1,5,https://openlearninglibrary.mit.edu/asset-v1:MITx+JPAL350x+3T2020+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+JPAL350x+3T2020+type@asset+block@course_image.jpg +Pre_7.01r,,,,Science & Math,Biology,Cognitive Science,Science & Math,Biology,Hazel Sive,Diviya Ray,,,,,,Undergraduate,OCW,English,OCW+Pre-7.01+1T2020,Getting up to Speed in Biology,https://openlearninglibrary.mit.edu/courses/course-v1:OCW+Pre-7.01+1T2020/about,This self-paced course was originally designed to help prepare incoming MIT students for their first Introductory Biology course (known at MIT as 7.01). It will also be useful for anyone preparing to take an equivalent college-level introductory biology class elsewhere.,YES,YES,3,,https://openlearninglibrary.mit.edu/asset-v1:OCW+Pre-7.01+1T2020+type@asset+block@Picture1.png,https://openlearninglibrary.mit.edu/asset-v1:OCW+Pre-7.01+1T2020+type@asset+block@Picture1.png +VJx,Art & Culture,History,,"Art, Design & Architecture",Art History,Media Studies,,,John W. Dower,Andrew Gordon,Shigeru Miyagawa,Gennifer Weisenfeld,,,,Undergraduate,MITx,English,MITx+VJx+3T2018,"Visualizing Japan (1850s-1930s): Westernization, Protest, Modernity",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+VJx+3T2018/about,"This MITx course was developed in collaboration with HarvardX and is co-taught by MIT, Harvard, and Duke historians. You will examine Japanese history in a new way—through the images created by those who were there—and the skills and questions involved in reading history through images in the digital format. The introductory module considers methodologies historians use to “visualize” the past, followed by three modules that explore the themes of Westernization, in Commodore Perry’s 1853-54 expedition to Japan; social protest, in Tokyo’s 1905 Hibiya Riot; and modernity, as seen in the archives of the major Japanese cosmetics company, Shiseido. VJx will cover the following topics in four modules: Module 0: Introduction: New Historical Sources for a Digital Age (Professors Dower, Gordon, Miyagawa). Digitization has dramatically altered historians' access to primary sources, making large databases of the visual record readily accessible. How is historical methodology changing in response to this seismic shift? How can scholars, students, and the general public make optimal use of these new digital resources? Module 1: Black Ships & Samurai (Professor Dower). Commodore Matthew Perry's 1853-54 expedition to force Japan to open its doors to the outside world is an extraordinary moment to look at by examining and comparing the visual representations left to us by both the American and Japanese sides of this encounter. This module also addresses the rapid Westernization undertaken by Japan in the half century following the Perry mission. Module 2: Social Protest in Imperial Japan: The Hibiya Riot of 1905 (Professor Gordon). The dramatic daily reports from participants in the massive ""Hibiya Riot"" in 1905, the first major social protest in the age of ""imperial democracy"" in Japan, offer a vivid and fresh perspective on the contentious domestic politics of an emerging imperial power. Module 3: Modernity in Interwar Japan: Shiseido & Consumer Culture (Professors Dower, Gordon, Weisenfeld). Exploring the vast archives of the Shiseido cosmetics company opens a fascinating window on the emergence of consumer culture, modern roles for women, and global cosmopolitanism from the 'teens through the 1920s and even into the era of Japanese militarism and aggression in the 1930s. This module will also tap other Visualizing Cultures units on modernization and modernity. -",YES,,51.3,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+VJx+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+VJx+3T2018+type@asset+block@course_image.jpg -VPx,History,,,Humanities,History,,,,,Christopher Capozzola,John W. Dower,Ellen Sebring,,,,,Undergraduate,MITx,English,MITx+VPx+1T2019,"Visualizing Imperialism & the Philippines, 1898-1913",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+VPx+1T2019/about,"In this course we use visual records as a way of understanding history at the turn of the 20th century. Learners will learn how to navigate visual primary sources and use them to investigate: +",YES,,51.3,4,https://openlearninglibrary.mit.edu/asset-v1:MITx+VJx+3T2018+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+VJx+3T2018+type@asset+block@course_image.jpg +VPx,History,,,Humanities,History,Media Studies,,,Christopher Capozzola,John W. Dower,Ellen Sebring,,,,,Undergraduate,MITx,English,MITx+VPx+1T2019,"Visualizing Imperialism & the Philippines, 1898-1913",https://openlearninglibrary.mit.edu/courses/course-v1:MITx+VPx+1T2019/about,"In this course we use visual records as a way of understanding history at the turn of the 20th century. Learners will learn how to navigate visual primary sources and use them to investigate: the historical debates that emerged in political cartoons; issues of race and prejudice in both cartooning and photography; @@ -450,8 +451,8 @@ The roundtable discussion format of the course will set up a discursive and expl For teachers, the course presents a number of units developed for the MIT Visualizing Cultures (VC) project. The instructors are the authors who created the VC resource, and the course provides a pathway into the VC website content. The VC website is widely taught in both secondary and college courses, and is the primary resource for this course. Educators can selectively pick modules that target needs in their classrooms; the course can be used in a “flipped” classroom where students are assigned modules as homework. -",YES,,28.3,,https://openlearninglibrary.mit.edu/asset-v1:MITx+VPx+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+VPx+1T2019+type@asset+block@course_image.jpg -VTx,Art & Culture,History,Language,"Art, Design & Architecture",Art History,,,,,Shigeru Miyagawa,John W. Dower,James T. Ulak,,,,,Undergraduate,MITx,English,MITx+VTx+1T2019,Visualizing the Birth of Modern Tokyo,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+VTx+1T2019/about,"This course shows the emergence of modern Tokyo through artist renderings of its neighborhoods, daily life and nightlife, nested between its recurring destruction by natural disasters and war. Students will learn about the tradition of the “100 views,” and through these composite depictions of the city, will witness the excitement and loss of change. Kiyochika Kobayashi’s woodblock prints of Tokyo in the late 1870s convey a moody view on the cusp of change as the new capital, formerly Edo, begins modernization with Western influences. Koizumi Kishio’s depictions of the “Imperial Capital” in the 1930s show the lively cosmopolitanism and move toward ultranationalism that placed the emperor at its center. +",YES,,28.3,,https://openlearninglibrary.mit.edu/asset-v1:MITx+VPx+1T2019+type@asset+block@course_image.jpg,https://openlearninglibrary.mit.edu/asset-v1:MITx+VPx+1T2019+type@asset+block@course_image.jpg +VTx,Art & Culture,History,Language,"Art, Design & Architecture",Art History,Media Studies,,,Shigeru Miyagawa,John W. Dower,James T. Ulak,,,,,Undergraduate,MITx,English,MITx+VTx+1T2019,Visualizing the Birth of Modern Tokyo,https://openlearninglibrary.mit.edu/courses/course-v1:MITx+VTx+1T2019/about,"This course shows the emergence of modern Tokyo through artist renderings of its neighborhoods, daily life and nightlife, nested between its recurring destruction by natural disasters and war. Students will learn about the tradition of the “100 views,” and through these composite depictions of the city, will witness the excitement and loss of change. Kiyochika Kobayashi’s woodblock prints of Tokyo in the late 1870s convey a moody view on the cusp of change as the new capital, formerly Edo, begins modernization with Western influences. Koizumi Kishio’s depictions of the “Imperial Capital” in the 1930s show the lively cosmopolitanism and move toward ultranationalism that placed the emperor at its center. Learners will navigate visual primary sources and use them to investigate: Tokyo, through the many locations depicted at different points in time, especially helpful if they would like visit these sites today; diff --git a/learning_resources/etl/oll.py b/learning_resources/etl/oll.py index 1e3a4cb43c..5ac9792ec0 100644 --- a/learning_resources/etl/oll.py +++ b/learning_resources/etl/oll.py @@ -9,6 +9,7 @@ import requests from django.conf import settings +from django.utils.text import slugify from learning_resources.constants import ( Availability, @@ -28,6 +29,25 @@ ] +def parse_readable_id(course_data: dict, run: dict) -> str: + """ + Parse the course readable_id + + Args: + course_data (dict): course data + run (dict): run data + + Returns: + str: course readable_id + + """ + if course_data["Offered by"] == "OCW": + semester = run.get("semester") or "" + year = run.get("year") or "" + return f"{course_data["OLL Course"]}+{slugify(semester)}_{year}" + return f"MITx+{course_data["OLL Course"]}" + + def extract(sheets_id: str or None = None) -> str: """ Extract OLL learning_resources @@ -82,7 +102,8 @@ def parse_topics(course_data: dict) -> list[dict]: {"name": topic.replace("Educational Policy", "Education Policy")} for topic in [ course_data["MITxO Primary Child"], - course_data["MITxO Secondary Child "], + # Sheet/csv column title has trailing space + course_data["MITxO Adopted Secondary Child "], ] if topic ] @@ -136,9 +157,10 @@ def transform_course(course_data: dict) -> dict: dict: normalized course data """ + runs = transform_run(course_data) return { "title": course_data["title"], - "readable_id": f"MITx+{course_data["OLL Course"]}", + "readable_id": parse_readable_id(course_data, runs[0]), "url": course_data["url"], "description": course_data["description"], "full_description": course_data["description"], @@ -155,7 +177,7 @@ def transform_course(course_data: dict) -> dict: course_data["OLL Course"], is_ocw=False ), }, - "runs": transform_run(course_data), + "runs": runs, "image": transform_image(course_data), "prices": [Decimal(0.00)], "etl_source": ETLSource.oll.name, diff --git a/learning_resources/etl/oll_test.py b/learning_resources/etl/oll_test.py index 06633a6cdd..44c4458816 100644 --- a/learning_resources/etl/oll_test.py +++ b/learning_resources/etl/oll_test.py @@ -33,14 +33,14 @@ def test_oll_transform(mocker, oll_course_data): assert results[0] == { "title": "Introduction to Probability and Statistics", - "readable_id": "MITx+18.05", + "readable_id": "18.05+summer_2022", "url": "https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.05r_10+2022_Summer/about", "description": mocker.ANY, "full_description": mocker.ANY, "offered_by": {"code": "ocw"}, "platform": "oll", "published": True, - "topics": [{"name": "Mathematics"}], + "topics": [{"name": "Mathematics"}, {"name": "Data Science"}], "course": { "course_numbers": [ { @@ -70,7 +70,7 @@ def test_oll_transform(mocker, oll_course_data): {"full_name": "Jennifer French Kamrin"}, ], "availability": "Archived", - "semester": "summer", + "semester": "Summer", "year": 2022, } ], @@ -91,7 +91,7 @@ def test_oll_transform(mocker, oll_course_data): "offered_by": {"code": "mitx"}, "platform": "oll", "published": True, - "topics": [{"name": "Education Policy"}], + "topics": [{"name": "Education Policy"}, {"name": "Digital Learning"}], "course": { "course_numbers": [ { @@ -121,7 +121,7 @@ def test_oll_transform(mocker, oll_course_data): {"full_name": "Elizabeth Huttner-Loan"}, ], "availability": "Archived", - "semester": "spring", + "semester": "Spring", "year": 2019, } ], diff --git a/learning_resources/etl/openedx_test.py b/learning_resources/etl/openedx_test.py index de3a3fd348..cc5f1f0e13 100644 --- a/learning_resources/etl/openedx_test.py +++ b/learning_resources/etl/openedx_test.py @@ -203,7 +203,7 @@ def test_transform_course( # noqa: PLR0913 "last_modified": any_instance_of(datetime), "level": ["intermediate"], "prices": ["0.00", "150.00"], - "semester": "spring", + "semester": "Spring", "description": "short_description", "start_date": expected_dt, "title": "The Analytics Edge", diff --git a/learning_resources/utils.py b/learning_resources/utils.py index 1d680c7145..c0c52be7b6 100644 --- a/learning_resources/utils.py +++ b/learning_resources/utils.py @@ -95,7 +95,7 @@ def get_year_and_semester(course_run): ) if match: year = int(match.group(1)) - semester = match.group(2).lower() + semester = match.group(2) else: semester = None year = course_run.get("start")[:4] if course_run.get("start") else None