Computer Science (BS): Software Engineering Emphasis
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Variable Credit Min
Variable Credit Max
Major Academic Plan
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Learning Outcome
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Learning Outcome
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Learning Outcome
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Learning Outcome
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Learning Outcome
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Learning Outcome
Program Requirements
Grades below C- are not allowed in major courses.
Requirement 1 — Complete 19 Courses
Core courses:
course - Intro to Computer Science 3.0
course - Exploring CS 0.5
course - Software Engineering Lab 1 1.0
course - Software Engineering Lab 2 1.0
course - Software Engineering Lab 3 1.0
course - Computer Systems 3.0
course - Data Structures 3.0
course - Discrete Structure 3.0
course - Adv Software Construction 4.0
course - Web Programming 3.0
course - Careers in CS 0.5
course - Algorithm Design & Analysis 3.0
course - Systems Programming3.0
course - Test, Analysis, & Verification3.0
course - Software Design3.0
course - Ethics & Computers in Society2.0
course - Database Modeling Concepts3.0
course - Soft Eng Capstone 13.0
course - Soft Eng Capstone 23.0
Requirement 2 —Complete 4 Courses
course - Calculus 14.0
course - Elementary Linear Algebra 2.0
course - Computational Linear Algebra 1.0
course - Intro to Newtonian Mechanics3.0
course - Technical Communication3.0
Requirement 3 — Complete 1 of 2 Courses
course - Intro to Stat Data Analysis 3.0
course - Stat for Engineers & Scientist 3.0
Requirement 4 — Complete 1 of 3 Courses
course - Calculus 2 4.0
course - Fundamentals of Mathematics 3.0
course - Stat Modeling for Data Science 3.0
Requirement 5 — Complete 2 of 11 Courses
course - Introduction to HCI 3.0
course - Intro to Machine Learning 3.0
course - Concepts of Programng Lang 3.0
course - Operating Systems Design 3.0
course - Advanced Techniques in HCI 3.0
course - Fund of Information Retrieval 3.0
course -Mobile and Ubiquitous HCI 3.0
course - Comp Comms & Networking 3.0
course - Distributed System Design 3.0
course - Computer Security 3.0
course - Advanced Machine Learning 3.0
course - Verification and Validation 3.0
Requirement 6 — Complete 3 hours
Courses will not double count between Requirement 5 and Requirement 6.
course - Intro to Computational Theory 3.0
course - Introduction to HCI 3.0
course - Intro to Machine Learning 3.0
course - Concepts of Programng Lang 3.0
course - Operating Systems Design 3.0
course - Graphics and Image Processing 3.0
course - Advanced Techniques in HCI 3.0
course - Adv Algorithms & Probl Solving 3.0
course - Topics in Computer Science - You may take up to 3.0 credit hours 1.0v
course - Software Business 3.0
course - Linear Prog/Convx Optimization 3.0
course - Computer Vision 3.0
course - Fund of Information Retrieval 3.0
course - Computer Graphics 3.0
course - Mobile and Ubiquitous HCI 3.0
course - Comp Comms & Networking 3.0
course - Distributed System Design 3.0
course - Computer Security 3.0
course - Blockchain Technologies 3.0
course - Intro Artificial Intelligence 3.0
course - Voice Interfaces 3.0
course - Advanced Machine Learning 3.0
course - Deep Learning 3.0
course - Intro to Machine Translation 3.0
course - Verification and Validation 3.0
course - Computing Competitions - You may take up to 3.0 credit hours 3.0
course - Undergraduate Research - You may take up to 6.0 credit hours 3.0
course - Undergraduate Special Projects - You may take up to 3.0 credit hours 1.0v
course - Adv Topics in Computer Sci - You may take up to 3.0 credit hours 1.0v
course - Robust Control 3.0
course - Inter Soft Systems 3.0
course - Transformers for NLP 3.0
course - Intro to Network Science 3.0
course - Theory of Predictive Modeling 3.0
course - Computer Systems 4.0
course - Real-Time Operating Systems 4.0
course - Cybersecurity & Pen Test 3.0
course - Numerical Methods 3.0
course - Probability Theory 3.0
course - Mathematical Cryptography 3.0
Note: If C S 493R, C S 498R, or C S 501R is chosen, it must be taken for 3 credit hours.
Requirement 7 — Obtain confirmation from your advisement center that you have completed the following:
Complete Senior Exit interview with the C S department during last semester or term.
Note: Math 112, Math 113, Phscs 121, WRTG 316, and C S 312 can be used to fill both General Education and program requirements. Advanced Writing and Oral Communication: WRTG 316. Quantitative Reasoning: Math 112 or 113. Languages of Learning: Math 112 or 113. Physical Science: C S 312 or Phscs 121.
