Undergraduate Minor in Computational Science

The Computational Science (CPS) minor provides an opportunity for students to explore the interplay between science and computation, an area which has become of great importance with the advent of supercomputers, especially parallel supercomputers. The minor is especially suitable for students majoring in the sciences, mathematics, computer science or engineering.

Students who wish to pursue the minor should have a background in mathematics, science and computing consisting of:

MAT 295, 296 Calculus I, Calculus II
PHY 211, 212 General Physics
PHY 221, 222 General Physics Laboratory I, II

and one of the following:

CIS 252 Introduction to Computer Science
CIS/NAS 197, 296 Introduction to Computer Programming: Pascal, Programming in C
CSE 182 Software Engineering Design Principles

These course are not, however, considered part of the minor.

Minor Requirements

Students must take a total of 18 credits of appropriate courses in a faculty program of study developed in consultation with a program advisor.

These courses are required:

CPS 211/213 Computational Science I/Scientific Programming I
CPS 212/214 Computational Science II/Scientific Programming II

Also required:

CPS 451 Senior Computational Science Project
or, with approval, a comparable project course.

At least 7 credits in courses must be selected from:

AEE 443 Introduction to Computational Fluid Dynamics
BIO 431 Population Genetics
CIS/CPS 412 Intro. to Data Parallel Computing
CIS 525 Introduction to Computer Graphics
CIS 581 Concurrent Programming
CPS 490 Independent Study in Computational Science
GOL 581 Numerical Geology
IOR 365 Introduction to System Simulation
MAT 517 Partial Differential Equations and Fourier Series
MAT 518 Topics in Applied Mathematics
MAT 521 Introduction to Probability and Statistics
MAT 531 Second Course in Linear Algebra
MAT 532 Applied Linear Algebra
MAT 581 Numerical Methods with Programming I
PHY 581 Methods of Theoretical Physics I
PHY 582 Methods of Theoretical Physics II
Appropriate topics courses in any of the sciences, mathematics, computer science or engineering may also be used with approval.

This information is subject to a disclaimer.
School of Computer and Information Science, Syracuse University, webmaster@top.cis.syr.edu
Last modified: September, 1994