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Core Computational Science Courses
- CMP 201:
Scientific Programming I (4 credits)
- CMP 202:
Scientific Programming II (4 credits)
- CMP 301:
Scientific Computation (4 credits)
- CMP 302:
Special Topics in Computational Science (4 credits)
- CMP 400:
Senior Project in Computational Science (3 credits)
Application Area Courses
- CHM 113-114:
General Chemistry I, II (each 4 credits)
- BIO 111-112:
General Biology I, II (each 4 credits)
- MGT 311:
Financial Management (3 credits)
- MGT 320:
Investments (3 credits)
- ECN 320:
Introduction to Financial Economics (3 credits)
- ECN 407:
Introduction to Econometrics (3 credits)
- ECN 412:
International Finance and Investments (3 credits)
- ECN 471:
Mathematical Economics (3 credits)
- ECN 477:
Theory of Finance (3 credits)
For a complete description of the course requirements for this major,
consult the current University Catalogue or contact the Admissions
Office for assistance.
COURSES
CMP200: Introduction to UNIX (1)
This course provides an introduction to UNIX and a desktop environment (e.g., CDE, or
gnome). Students learn how to log in and log out, (tcsh and/or bash) shell commands, navigate
the directory tree, manipulate files, create and delete files and directories, backup and restore
user files and directories, set permissions on files and direct6ories, customize the user environment
use basic network commands and programs, search directories and files, list and selectively
terminate user processes, and write and execute shell scripts.
CMP201: Scientific Programming (3)
In this course students are introduced to the basic tools and methods of computational science.
The primary tools are programming concepts using a high level programming language and
basic end-user skills in the UNIX operating system. The methods stressed are techniques of
problem analysis and the development of algorithms. Most examples and applications involve
mathematics and science.
CMP301: Scientific Computation (3)
An introduction to numerical analysis and scientific computation. Topics include nonlinear
equations, linear systems, interpolation and curve-fitting, numerical differentiation and integration,
numerical solution of differential equations, approximation of functions, and models of
computation on serial and parallel computers. Prerequisites: CMP 201, MTH 202, and MTH 300.
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