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Numerical Methods*


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


* This is an undergraduate course that can be taken for graduate credit.


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

Please note that courses for which a student has received a grade of D cannot be used to satisfy prerequisite requirements.

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

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).
Course Type: 
Undergraduate & Graduate

Check the University Schedule of Classes to see if this course is open.

Request an Special Permission Number here if the class is full.