• Course Number: 01:198:324
  • Course Type: Undergraduate
  • Credits: 4
  • Description:

    To extend knowledge of Numerical Methods in Computing (01:198:323) by investigating special topics, varying from year to year (sample topics shown below).

  • Prerequisite Information:

    01:198:323 or 01:640:373. Credit not given for this course and 01:640:374.

    † This course is available for CS Graduate degree credit.

    - A grade below a "C" in a prerequisite course will not satisfy that prerequisite requirement.

  • Course Links: 01:198:323 - Numerical Analysis and Computing
  • Topics:
    Computational solution of linear algebraic systems
    Computation of eigenvalues and eigenvectors
    Numerical solution of initial and boundary value problems for ordinary differential equations
    Numerical solution of partial differential equations
    Fourier Series and fast Fourier transform
    Linear programming
  • Expected Work: Textbook assignments, 6 programs
  • Exams: 1 or 2 hourlies, Final Exam
  • Learning Goals:

    Computer Science majors ...

    • will be prepared to contribute to a rapidly changing field by acquiring a thorough grounding in the core principles and foundations of computer science (e.g., techniques of program design, creation, and testing; key aspects of computer hardware; algorithmic principles).
    • will acquire a deeper understanding on (elective) topics of more specialized interest, and be able to critically review, assess, and communicate current developments in the field.
    • will be prepared for the next step in their careers, for example, by having done a research project (for those headed to graduate school), a programming project (for those going into the software industry), or some sort of business plan (for those going into startups).