Courses used to fulfill Requirement 6 cannot be double counted here. Note: If C S 401R, C S 498R, or C S 501R is chosen, it must be taken for three hours.

C S 401R - Topics in Computer Science 3.0v

You may take up to 3 credit hours.

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 - Computer Vision 3.0

C S 452 - Database Modeling Concepts 3.0

C S 453 - Fundamentals of Information Retrieval 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 472 - Introduction to Machine Learning 3.0

C S 474 - Introduction to Deep Learning 3.0

C S 479 - (Not currently offered)

C S 486 - Verification and Validation 3.0

C S 498R - Undergraduate Special Projects 3.0v

You may take up to 3 credit hours.

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

You may take up to 3 credit hours.

C S 513 - Robust Control 3.0

C S 557 - (Not currently offered)

CSANM 351R - Lighting for Three-Dimensional Graphics 3.0

CSANM 355 - Photography for Animation 3.0

CSANM 452R - Advanced Senior Film Production 2 3.0

CSANM 454 - Advanced Shading 3.0

CSANM 458 - Three-Dimensional Visual Effects 3.0

CSANM 460R - Video Game Production 2 3.0

EC EN 425 - Real-Time Operating Systems 4.0

requirement 9 Complete 1 course

ARTHC 111 - Introduction to Art History 3.0

ARTHC 202 - World Civilization Since 1500 3.0

TECH 201 - (Not currently offered)

TMA 294 - History of Animation 3.0

requirement 10

Complete Senior Exit interview with the CS department during your last semester or term.

Program Outcomes:

Computational Practice:

Students will implement significant programming projects. Students will perform analysis, specification, design, implementation, and testing resulting in quality computer software solutions. Students will use data structures, algorithms, programming languages, and software engineering techniques in their programming.

Computational Theory:

Students will use theoretical concepts in their programming. Students will have the theoretical computer science background and the mathematical and analytical maturity necessary to allow them to follow and adapt to technological changes in their discipline or to enter graduate programs in Computer Science. Students will use automata theory, mathematics, and abstraction to analyze problems and their algorithmic solutions.

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LEP Admission Rate

Three Years Ago	Two Years Ago	One Year Ago
46%	35%	52%