Nov 29, 2024

2020-2021 Undergraduate Catalog

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2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

Computer Science - Computer Science (CSCS) - BS Major

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68-69 S.H. (no minor required)

2.5 GPA required.

C grade or better required in major courses.

Computer Science (Math 115) Major Map

Computer Science (Math 120) Major Map

Computer science majors choose between two options: Computer Science (CS) and Applied Computer Science (ACS). Both options require a common core set of courses designed to give students a fundamental understanding of both theoretical and applied computer science, and an introduction to current topics and practices in the industry. Upper-level courses within each option build on these concepts to provide depth in particular areas. As such, all computer science majors are prepared for computer science careers and, if they desire, further graduate study in computer-related fields.

Computer Science Core (38 credits)

CS 101 - Exploring Creative Computing (3 credits)
CS 234 - Algorithms and Problem-Solving I (4 credits)
CS 250 - Algorithms and Problem-Solving II (4 credits)
CS 275 - Mathematical Foundations of Algorithms (4 credits)
◎ CS 313 - Networking and Telecommunications (4 credits)
◆ CS 341 - Data Structures (4 credits)
CS 375 - Computer Systems (4 credits)
△ CS 385 - Applied Database Management Systems (4 credits)
△ CS 410 - Software Engineering (4 credits)
STAT 210 - Statistics (3 credits)

Required Courses (13 S.H.)

CS 405 - Operating Systems (3 credits)
CS 415 - Principles of Programming Languages (3 credits)
CS 435 - Theory of Computation (3 credits)
MATH 212 - Calculus I (4 credits)

Electives (18 S.H.)

Choose from Computer Science Electives list below except for CS 405 - Operating Systems , CS 415 - Principles of Programming Languages , and CS 435 - Theory of Computation .

Computer Science Electives

CS 344 - Introduction to Web Programming (3 credits)
CS 345 - Mobile Application Development (3 credits)
CS 366 - Topics in Emerging Computing Technologies (1-3 credits)
CS 368 - Introduction to Bioinformatics (4 credits)
CS 369 - Spatial Information Processing (3 credits)
CS 405 - Operating Systems (3 credits)
◎ CS 411 - Software Quality (3 credits)
CS 413 - Advanced Networking and Telecommunications (3 credits)
CS 415 - Principles of Programming Languages (3 credits)
CS 420 - Computer Architecture (3 credits)
CS 423 - Computer and Network Security (3 credits)
CS 430 - Computer Graphics (3 credits)
CS 433 - Digital Image Processing (3 credits)
CS 435 - Theory of Computation (3 credits)
CS 440 - Theory of Algorithms (3 credits)
CS 444 - Human Computer Interaction (3 credits)
CS 445 - Artificial Intelligence (3 credits)
◎ CS 447 - Machine Learning (3 credits)
CS 450 - Compilers (3 credits)
CS 465 - Topics: Computing Theory (1-3 credits)
CS 466 - Topics: General Computing Applications (1-3 credits)
CS 467 - Topics: Information Systems Applications (1-3 credits)
◎ CS 471 - Object Oriented Design and Development (3 credits)
CS 472 - Reusable Software Architectures (3 credits)
CS 476 - Distributed Systems: Concepts and Design (3 credits)
CS 482 - Internet/Web Architecture and Development (3 credits)
CS 485 - Database Systems Design (3 credits)
CS 491 - Practicum in Computer Science (3 or 6 credits) *
△ CS 495 - Computer Science Research Seminar (3 credits)
PHYS 332 - Digital Circuits (3 credits)
PHYS 333 - Microprocessor Electronics (3 credits)

Note

* Only 3 credits may be applied to major or minor.

Graduate School Recommendations

Students who wish to attend graduate school in computer science should complete the following:

△ CS 495 - Computer Science Research Seminar at least one semester before graduation
Additional mathematics and/or statistics courses, including MATH 213 - Calculus II

Legend

◎ = Oral Intensive

◆ = Math/Critical Analysis Intensive

△ = Writing Intensive

✽ = Physical Development and Wellness Graduation Requirement

✪ = Civic Engagement and Service Learning

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