Computer Science

Computer Science
Minor
Hours19 Credit Hours

Program Requirements

Grades below C- are not allowed in minor courses.
requirement 1 Complete 4 courses
requirement 2 Complete 2 courses
C S 201R - Topics in Computer Science 3.0
C S 224 - Introduction to Computer Systems 3.0
C S 252 - Introduction to Computational Theory 3.0
C S 256 - Designing the User Experience 3.0
C S 301R - Topics in Computer Science 3.0
C S 312 - Algorithm Design and Analysis 3.0
C S 330 - Concepts of Programming Languages 3.0
C S 340 - Software Design and Testing 3.0
C S 345 - Operating Systems Design 3.0
C S 355 - Interactive Graphics and Image Processing 3.0
C S 360 - Internet Programming 3.0
C S 401R - Topics in Computer Science 3.0v
C S 412 - Linear Programming and Convex Optimization 3.0
C S 418 - Bioinformatics 3.0
C S 428 - Software Engineering 3.0
C S 431 - Algorithmic Languages and Compilers 3.0
C S 450 - Introduction to Digital Signal and Image Processing 3.0
C S 452 - Database Modeling Concepts 3.0
C S 453 - Fundamentals of Information Retrieval 3.0
C S 455 - Computer Graphics 3.0
C S 456 - Introduction to User Interface Software 3.0
C S 460 - Computer Communications and Networking 3.0
C S 462 - Large-Scale Distributed System Design 3.0
C S 465 - Computer Security 3.0
C S 470 - Introduction to Artificial Intelligence 3.0
C S 478 - Tools for Machine Learning 3.0
C S 479 - Natural Language Processing 3.0
C S 484 - Parallel Processing 3.0
C S 486 - Verification and Validation 3.0
C S 498R - Undergraduate Special Projects 3.0v
C S 500 - (C S-Chem-Geol-Math-MthEd-Phscs-Stat) Business Career Essentials in Science and Math 1.5
C S 501R - Advanced Topics in Computer Science 3.0v
C S 513 - Robust Control 3.0
C S 557 - Computer-Aided Geometric Design 3.0
Program Outcomes

Computational Practice:

Students use fundamental data structures, algorithms, and programming techniques to implement programming projects of moderate size.

Computational Theory:

Students have the theoretical computer science background necessary to allow them to follow and adapt to technological changes in their discipline. Students use fundamental mathematical abstraction to analyze problems and their algorithmic solutions.