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Spring 2020
Dec 15, 2019
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  Select the desired Level or Schedule Type to find available classes for the course.

CSCI 0530 - Coding the Matrix: An Introduction to Linear Algebra for Computer Science
Introduces vectors, matrices and their role in computer science in three components: (1) concepts, theorems, and proofs, (2) procedures and programs, (3) applications and working with data. Weekly lab sessions where students apply concepts to a real task with real data. Example labs: 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 as time allows. Skills in programming and prior exposure to reading and writing mathematical proofs required.
0.000 OR 1.000 Credit hours
0.000 OR 1.000 Lecture hours
0.000 Lab hours

Levels: Extra Credit Graduate, Undergraduate
Schedule Types: Lab, Primary Meeting

Computer Science Department

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