Computer Science (BS): Human-Computer Interaction Emphasis
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Minimum Credit Hours
Maximum Credit Hours
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
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Learning Outcome
Program Requirements
Requirement 1 —Complete 9 Courses
course - Intro to Computer Science 3.0
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 - Algorithm Design & Analysis 3.0
course - Software Design 3.0
course - Ethics & Computers in Society 2.0
Requirement 2 —Complete 5 Courses
course - Calculus 1 4.0
course - Elementary Linear Algebra 2.0
course - Computational Linear Algebra 1.0
course - Intro to Newtonian Mechanics 3.0
course - Technical Communication 3.0
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 - Statistical Modeling 1 3.0
Requirement 5 —Complete 3 Courses
course - Introduction to HCI 3.0
course - Advanced Techniques in HCI 3.0
course - Mobile and Ubiquitous HCI 3.0
Requirement 6 —Complete 1 of 4 Courses
If COMMS 101 is taken, students should enroll in the online section
course - Social/Cultural Anthropology 3.0
course - Mass Comm & Soc 3.0
course - Psychological Science 3.0
course - Introductory Sociology 3.0
Requirement 7 —Complete 1 of 2 Courses
Note: Courses taken to fulfill Requirement 4 cannot double count here.
course - Creating a Good Life 3.0
course - Statistical Modeling 1 3.0
Requirement 8 —Complete 12 hours
Option 8.1 —Complete up to 12 hours
course - Intro to Computational Theory 3.0
course - Systems Programming 3.0
course - QA & DevOps 3.0
course - Concepts of Programng Lang 3.0
course - Operating Systems Design 3.0
course - Graphics and Image Processing 3.0
course - Collaborative Probl Solving 3.0
course - Topics in Computer Science - You may take once 1.0v
course - Linear Prog/Convx Optimization 3.0
course - Advanced Algorithms
course - Bioinformatics
course - Software Engineering 3.0
course - Formal Verification
course - Algorithmic Lang & Compilers 3.0
course - Computer Vision 3.0
course - Database Modeling Concepts 3.0
course - Fund of Information Retrieval 3.0
course - Computer Graphics 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
course - Deep Learning 3.0
course - Intro to Machine Translation 3.0
course - Verification and Validation 3.0
course - Adv Topics in Computer Sci - You may take once 1.0v
course - Robust Control 3.0
course - Research Methods in HCI 3.0
course - Transformers for NLP 3.0
course - Intro to Graph Data Science 3.0
course - Theory of Predictive Modeling 3.0
Option 8.2 —Complete up to 3 hours
course - Computing Competitions - You may take once 3.0
course - Undergraduate Research - You may take once 3.0
course - Undergraduate Special Projects - You may take once 1.0v
