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Computer Science Curriculum

There are three alternatives for the initial programming course, using a structured, object-oriented programming language (current or recent language in parentheses):

  • CSC 121, Programing and Problem Solving (using Java) or
  • CSC 200 = PHY 200, Computational Physics (using Java with EJS)
  • CSC 209 = BIO 209, Bioinformatics Programming (using Python)

The heart of the curriculum consists of four courses:

  • CSC 221, Data Structures,
  • CSC 321, Analysis of Algorithms,
  • CSC 322, Programming Languages, and
  • CSC 324, Theory of Computation.

This is augmented by applied courses with special faculty expertise, such as

  • CSC 315 = MAT 315, Numerical Analysis, and
  • PHY 310, Electronics and Instrumentation (with a computer hardware component).

Seminars and Independent Studies are also an important part of the Computer Science curriculum.  Recent seminars or independent studies have been titled:

  • Clustering Algorithms
  • Databases/Web Application
  • Artificial Intelligence
  • Automatic Differentiation
  • Cryptology
  • Scientific Computing
  • Advanced Software Development in Science
  • Search Engine Theory
  • Computer Graphics
  • Neural Network Models
  • Structure and Interpretation of Computer Programs

For CSC course descriptions, click on the title under Concentration Requirements.