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 ...

Harvard offers free courses in multiple subject areas including Arts and Design, Theology, Business, Computer Science, Data Science, Education, Humanities, Programming, Mathematics, Science, and more.

Due to the great ability of tensors to model higher-order data and nonlinear functions, tensor techniques have seen great success in a variety of applications including machine learning, computer ...

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 ...

Computer science with mathematics and statistics gives students the flexibility to combine a traditional computer science degree with a non-traditional field. Our state-of-the-art labs for ...