Computer-Science

It is a complete education in computer science using online materials

To-Do List

Curriculum version:8.0.0(seeCHANGELOG)

• Intro CS
  • Introduction to Programming
  • Introduction to Computer Science
• Core CS
  • Core programming
  • Core math
  • Core systems
  • Core theory
  • Core applications
• Advanced CS
  • Advanced programming
  • Advanced math
  • Advanced systems
  • Advanced theory
  • Advanced applications
• Final project
• Pro CS

Intro CS

Introduction to Programming

**Topics covered**:`simple programs` `simple data structures`

Courses	Effort	Prerequisites	Status
Python for Everyone	58 hours	none	Unfinished
Fundamentals of Computing	138 hours	high school mathematics	Unfinished

Introduction to Computer Science

Topics covered: computation imperative programming basic data structures and algorithms and more

Courses	Duration	Effort	Prerequisites	Status
Introduction to Computer Science and Programming using Python(alt)	9 weeks	15 hours/week	high school algebra	Unfinished

Core CS

Core programming

Courses	Duration	Effort	Prerequisites	Status
How to Code - Simple Data	7 weeks	8-10 hours/week	none	Unfinished
How to Code - Complex Data	6 weeks	8-10 hours/week	How to Code: Simple Data	Unfinished
Software Construction - Data Abstraction	6 weeks	8-10 hours/week	How to Code - Complex Data	Unfinished
Software Construction - Object-Oriented Design	6 weeks	8-10 hours/week	Software Construction - Data Abstraction	Unfinished
Programming Languages, Part A	4 weeks	8-16 hours/week	recommended: Java, C	Unfinished
Programming Languages, Part B	3 weeks	8-16 hours/week	Programming Languages, Part A	Unfinished
Programming Languages, Part C	3 weeks	8-16 hours/week	Programming Languages, Part B	Unfinished

Readings

• Required to learn about monads, laziness, purity: Learn You a Haskell for a Great Good!
  • Note: probably the best resource to learn Haskell: Haskell Programming from First Principles paid
• Required, to learn about logic programming, backtracking, unification: Learn Prolog Now!

Core math

**Topics covered**: `linear transformations` `matrices` `vectors` `mathematical proofs` `number theory` `differential calculus` `integral calculus` `sequences and series` `discrete mathematics` `basic statistics` `O-notation` `graph theory` `vector calculus` `discrete probability` `and more`

Courses	Duration	Effort	Prerequisites	Status
Essence of Linear Algebra	-	-	pre-calculus	Unfinished
Linear Algebra - Foundations to Frontiers (alt)	15 weeks	8 hours/week	Essence of Linear Algebra	Unfinished
Calculus 1A: Differentiation	13 weeks	6-10 hours/week	pre-calculus	Unfinished
Calculus 1B: Integration	13 weeks	5-10 hours/week	Calculus 1A	Unfinished
Calculus 1C: Coordinate Systems & Infinite Series	13 weeks	5-10 hours/week	Calculus 1B	Unfinished
Mathematics for Computer Science	13 weeks	5 hours/week	Calculus 1C	Unfinished

Core Sysytems

**Topics covered**: `procedural programming` `manual memory management` `boolean algebra` `gate logic` `memory` `computer architecture` `assembly` `machine language` `virtual machines` `high-level languages` `compilers` `operating systems` `network protocols` `and more`

Courses	Duration	Effort	Additional Text / Assignments	Prerequisites	Status
Introduction to Computer Science - CS50 (alt)	12 weeks	10-20 hours/week	After the sections on C, skip to the next course. Why?	introductory programming	Unfinished
Build a Modern Computer from First Principles: From Nand to Tetris (alt)	6 weeks	7-13 hours/week	-	C-like programming language	Unfinished
Build a Modern Computer from First Principles: Nand to Tetris Part II	6 weeks	12-18 hours/week	-	one of these programming languages, From Nand to Tetris Part I	Unfinished
Introduction to Computer Networking	8 weeks	4–12 hours/week	Assignment 1 Assignment 2 Assignment 3 Assignment 4	algebra, probability, basic CS	Unfinished
ops-class.org - Hack the Kernel	15 weeks	6 hours/week	Replace course textbook with Operating Systems: Three Easy Pieces	algorithms	Unfinished

Core theory

**Topics covered**: `divide and conquer` `sorting and searching` `randomized algorithms` `graph search` `shortest paths` `data structures` `greedy algorithms` `minimum spanning trees` `dynamic programming` `NP-completeness` `and more`

Courses	Duration	Effort	Prerequisites	Status
Algorithms: Design and Analysis, Part I	8 weeks	4-8 hours/week	any programming language, Mathematics for Computer Science	Unfinished
Algorithms: Design and Analysis, Part II	8 weeks	4-8 hours/week	Part I	Unfinished

Core applications

Topics covered: Agile methodology REST software specifications refactoring relational databases transaction processing data modeling neural networks supervised learning unsupervised learning OpenGL raytracing block ciphers authentication public key encryption and more

Courses	Duration	Effort	Prerequisites	Status
Databases	12 weeks	8-12 hours/week	some programming, basic CS	Unfinished
Machine Learning	11 weeks	4-6 hours/week	linear algebra	Unfinished
Computer Graphics	6 weeks	12 hours/week	C++ or Java, linear algebra	Unfinished
Cryptography I	6 weeks	5-7 hours/week	linear algebra, probability	Unfinished
Software Engineering: Introduction	6 weeks	8-10 hours/week	Software Construction - Object-Oriented Design	Unfinished
Software Development Capstone Project	6-7 weeks	8-10 hours/week	Software Engineering: Introduction	Unfinished

Advanced CS

After completing every required course in Core CS, students should choose a subset of courses from Advanced CS based on interest. Not every course from a subcategory needs to be taken. But students should take every course that is relevant to the field they intend to go into.

The Advanced CS study should then end with one of the Specializations under Advanced applications. A Specialization's Capstone, if taken, may act as the Final project, if permitted by the Honor Code of the course. If not, or if a student chooses not to take the Capstone, then a separate Final project will need to be done to complete this curriculum.

Advanced programming

Topics covered: debugging theory and practice goal-oriented programming GPU programming CUDA parallel computing object-oriented analysis and design UML large-scale software architecture and design and more

Courses	Duration	Effort	Prerequisites	Status
Compilers	9 weeks	6-8 hours/week	none	Unfinished
Software Debugging	8 weeks	6 hours/week	Python, object-oriented programming	Unfinished
Software Testing	4 weeks	6 hours/week	Python, programming experience	Unfinished
LAFF - On Programming for Correctness	7 weeks	6 hours/week	linear algebra	Unfinished
Introduction to Parallel Programming (alt)	12 weeks	-	C, algorithms	Unfinished
Software Architecture & Design	8 weeks	6 hours/week	software engineering in Java	Unfinished

Advanced math

**Topics covered**: `parametric equations` `polar coordinate systems` `multivariable integrals` `multivariable differentials` `probability theory` `and more`

Courses	Duration	Effort	Prerequisites	Status
Multivariable Calculus	13 weeks	12 hours/week	MIT Calculus 1C	Unfinished
Introduction to Probability - The Science of Uncertainty	18 weeks	12 hours/week	Multivariable Calculus	Unfinished

Advanced systems

Topics covered: digital signaling combinational logic CMOS technologies sequential logic finite state machines processor instruction sets caches pipelining virtualization parallel processing virtual memory synchronization primitives system call interface and more

Courses	Duration	Effort	Prerequisites	Status
Reliable Distributed Systems, Part 1	5 weeks	5 hours/week	Scala, intermediate CS	Unfinished
Reliable Distributed Systems, Part 2	5 weeks	5 hours/week	Part 1	Unfinished
Electricity and Magnetism, Part 11	7 weeks	8-10 hours/week	calculus, basic mechanics	Unfinished
Electricity and Magnetism, Part 2	7 weeks	8-10 hours/week	Electricity and Magnetism, Part 1	Unfinished
Computation Structures 1: Digital Circuits	10 weeks	6 hours/week	electricity, magnetism	Unfinished
Computation Structures 2: Computer Architecture	10 weeks	6 hours/week	Computation Structures 1	Unfinished
Computation Structures 3: Computer Organization	10 weeks	6 hours/week	Computation Structures 2	Unfinished

1 Note: These courses assume knowledge of basic physics. (Why?) If you are struggling, you can find a physics MOOC or utilize the materials from Khan Academy: Khan Academy - Physics

Advanced theory

**Topics covered**: `formal languages` `Turing machines` `computability` `event-driven concurrency` `automata` `distributed shared memory` `consensus algorithms` `state machine replication` `computational geometry theory` `propositional logic` `relational logic` `Herbrand logic` `concept lattices` `game trees` `and more`

Courses	Duration	Effort	Prerequisites	Status
Introduction to Logic	10 weeks	4-8 hours/week	set theory	Unfinished
Automata Theory	7 weeks	10 hours/week	discrete mathematics, logic, algorithms	Unfinished
Computational Geometry	16 weeks	8 hours/week	algorithms, C++	Unfinished
Introduction to Formal Concept Analysis	6 weeks	4-6 hours/week	logic, probability	Unfinished
Game Theory	8 weeks	x hours/week	mathematical thinking, probability, calculus	Unfinished

Advanced applications

These Coursera Specializations all end with a Capstone project. Depending on the course, you may be able to utilize the Capstone as your Final Project for this Computer Science curriculum. Note that doing a Specialization with the Capstone at the end always costs money. So if you don't wish to spend money or use the Capstone as your Final, it may be possible to take the courses in the Specialization for free by manually searching for them, but not all allow this.

Courses	Duration	Effort	Prerequisites	Status
Introduction to Logic	10 weeks	4-8 hours/week	set theory	Unfinished
Automata Theory	7 weeks	10 hours/week	discrete mathematics, logic, algorithms	Unfinished
Computational Geometry	16 weeks	8 hours/week	algorithms, C++	Unfinished
Introduction to Formal Concept Analysis	6 weeks	4-6 hours/week	logic, probability	Unfinished
Game Theory	8 weeks	x hours/week	mathematical thinking, probability, calculus	Unfinished

Final project

After you've gotten through all of Core CS and the parts of Advanced CS relevant to you, you should think about a problem that you can solve using the knowledge you've acquired. Not only does real project work look great on a resume, but the project will also validate and consolidate your knowledge. You can create something entirely new, or you can find an existing project that needs help via websites like CodeTriage or First Timers Only.

Another option is using the Capstone project from taking one of the Specializations in Advanced applications; whether or not this makes sense depends on the course, the project, and whether or not the course's Honor Code permits you to display your work publicly. In some cases, it may not be permitted; do not violate your course's Honor Code!

Pro CS

After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science, or quite close to one. You can stop in the Advanced CS section, but the next step to completing your studies is to develop skills and knowledge in a specific domain. Many of these courses are graduate-level.

Choose one or more of the following specializations:

• Mastering Software Development in R Specialization by Johns Hopkins University
• Artificial Intelligence Engineer Nanodegree by IBM, Amazon, and Didi
• Machine Learning Engineer Nanodegree by Kaggle
• Cybersecurity MicroMasters by the Rochester Institute of Technology
• Android Developer Nanodegree by Google

These aren't the only specializations you can choose. Check the following websites for more options:

• edX: xSeries
• Coursera: Specializations
• Udacity: Nanodegree

References

https://github.com/ossu/computer-science#pro-cs