CSCI 3202 - Introduction to Artificial Intelligence
Primary Instructor
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Spring 2023
Surveys artificial intelligence techniques of search, knowledge representation and reasoning, probabilistic inference, machine learning, and natural language. Knowledge of Python strongly recommended. Same as CSPB 3202.
CSCI 3302 - Introduction to Robotics
Primary Instructor
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Fall 2022 / Fall 2023 / Fall 2024
Introduces students to fundamental concepts in autonomous robotics: mechanisms, locomotion, kinematics, control, perception and planning. Consists of lectures and lab sessions that are geared toward developing a complete navigation stack on a miniature mobile robotic platform. Same as ECEN 3303 and CSPB 3302.
CSCI 4622 - Machine Learning
Primary Instructor
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Spring 2023 / Spring 2024
Introduces students to tools, methods, and theory to construct predictive and inferential models that learn from data. Focuses on supervised machine learning technique including practical and theoretical understanding of the most widely used algorithms (decision trees, support vector machines, ensemble methods, and neural networks). Emphasizes both efficient implementation of algorithms and understanding of mathematical foundations. Same as CSPB 4622.
CSCI 4830 - Special Topics in Computer Science
Primary Instructor
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Spring 2024
Covers topics of interest in computer science at the senior undergraduate level. Content varies from semester to semester. Only 9 credit hours from CSCI 4830 and/or CSCI 4831 can count toward Computer Science BS or BA.
CSCI 4950 - Senior Thesis
Primary Instructor
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Fall 2024
Provides an opportunity for senior computer science majors to conduct exploratory research in computer science as an option for the capstone requirement. Department enforced prerequisites: 35 hours of Computer Science coursework including Foundation courses, Upper-Division writing, CS GPA 3.0. Department consent required, contact academic advisor for details. May be repeated up to 8 total credit hours.
MCEN 4043 - System Dynamics
Primary Instructor
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Fall 2022 / Fall 2023 / Fall 2024
Covers linear dynamic systems and mathematical tools for understanding them. Topics include Laplace transform, multi-domain system modeling, input-output relationships, time-domain response, Fourier series, frequency-domain response, and introduction to feedback control.
