Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

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BS in Computer Science Concentration: ApplicationsLab Science Requirements: 7 Credits Minimum Students must complete two science courses in two different disciplines (BL, CH, KIP, FW, GE, PH, SS) from ...

Familiarity with linear algebra is expected. In addition, students should have taken a proof-based course such as CS 212 or Math 300. Tensors, or multiindexed arrays, generalize matrices (two ...