Coding the Matrix: an Introduction to Linear Algebra for Computer Science

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Location:CIT 368
Meeting Time:T: M,W 3:00-4:20
Exam Group:13-DEC-2017 Exam Time: 09:00:00 AM Exam Group: 15
Offered this year?No
When Offered?Occasionally


An introduction to vectors and matrices and their role in computer science. The course material consists of three components: (1) concepts, theorems, and proofs, (2) procedures and programs, and (3) applications and working with data. The course revolves around weekly lab sessions in each of which students apply the concepts to a real task with real data. Lab topics include transformations in 2-d graphics, error-correcting codes, image compression using wavelets, synthesizing a new perspective in a photo, face recognition, news story categorization, cancer diagnosis using machine learning, matching airplanes to destinations, Google's PageRank method. Other topics addressed in the course include linear programming, zero-sum games, rudimentary cryptographic methods, linear regression, and discrete linear dynamical systems such as a spreading computer virus.

The Lab associated with this class is being held Fridays 3-4 in CIT 368

No formal prerequisites but students are expected to have some prior exposure to computer programming.

CRN: 15889