Update README.md

README.md

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 ### Winter Quarter 2022, offered by Stanford ICME in collaboration with MathWorks
 Schedule: Winter 2022, Jan 3rd-Jan 31th, Mon/Wed 5:30-7:00pm 
 
-Location: Please see the course [Canvas page](https://canvas.stanford.edu/courses/150589) for detailed information.
-
-
 ### Course Description
 
 The goal of this 8-lecture short course is to introduce advanced MATLAB features, syntaxes, and toolboxes not traditionally found in introductory courses; applications will be drawn from various topics from scientific computing. Material will be reinforced with in-class examples and demos involving topics from scientific computing. Students will be practicing the knowledge learned through a mini course project, which will be based on either the suggested topics or a topic of their own choice. MATLAB topics to be covered will be drawn from: advanced graphics and animation, MATLAB tools, data management, code optimization, object-oriented programming, and a variety of toolboxes, including optimization, statistical and machine learning, deep learning, parallel computing, and symbolic math. Students should expect to gain exposure to the tools available in the MATLAB software, knowledge of and experience with advanced MATLAB features, and independence as a MATLAB user. Successful completion of the course requires completion of a mini project.
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 Basic knowledge of numerical methods, linear algebra, and machine learning is recommended, but not required.
 
 ### Course Syllabus
-Please see the course [Canvas page](https://canvas.stanford.edu/courses/150589) for the syllabus.
+The course syllabus for winter 2022 is available [here](cme292-syllabus-winter22.pdf).
 
 ### Topics
 | Topic | Lecture Notes |