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

COMP_SCI 496: Randomized Algorithms in Linear Algebra and Scientific Computing VIEW ALL COURSE TIMES AND SESSIONS Description *Please note this will be a 0 credit 3-week course during the weeks of May ...

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 ...

Instructor Fall 2016: Sriram SankaranarayananPrerequisitesCalculus I,II + Algorithms + Linear Algebra.Topics CoveredRoughly, we will cover the following topics (some of them may be skipped depending ...

Harvard offers free courses in multiple subject areas including Arts and Design, Theology, Business, Computer Science, Data ...

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 ...