CS 3220

CS 3220

Course information provided by the 2019-2020 Catalog.

Introduction to computational mathematics covering topics in (numerical) linear algebra, statistics, and optimization. Topics included are those of particular relevance to upper-division computer science courses in machine learning, numerical analysis, graphics, vision, robotics, and more. An emphasis is placed both on understanding core mathematical concepts and introducing associated computational methodologies.


Prerequisites/Corequisites Prerequisites: MATH 2210 or MATH 2940 or equivalent; pre- or co- requisite: one programming class, and some familiarity with probability and statistics.

When Offered Fall.

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17417 CS 3220   LEC 001

  • Instruction Mode: In Person