Artificial Intelligence (AIG) Sub-plan Requirements

Students enrolled in AIG sub-plan must fulfill the following course requirements:

• Total 30 credits of graduate level approved coursework required
• Three breadth courses (9 credits) – must earn a B or better grade
• Must complete at least 12 credits of sub-plan courses from the list below – must earn a B or better grade
• Students may count the same course towards breadth and sub-plan requirement.
• Students may take up to two non-CS approved classes
• Any non-CS courses under the sub-plan listing counts against the TWO allowable non-CS classes.

Artificial Intelligence Courses

• CSCI 5202/ROBO 5000: Intro to Robotics
• CSCI 5214 - Big Data Architecture
• CSCI 5254 Convex Optimization
• CSCI 5302 Advanced Robotics
• CSCI 5322 Algorithmic Human-Robot Interaction
• CSCI 5352 Network Analysis and Modeling
• ​CSCI 5434 Probability for Computer Science
• CSCI 5502 Data Mining
• CSCI 5622 Machine Learning
• CSCI 5673: Distributed Systems
• CSCI 5722 Computer Vision
• CSCI 5822 Probabilistic Models of Human and Machine Learning
• CSCI 5832 Natural Language Processing
• CSCI 5922 - Neural Networks and Deep Learning
• CSCI 7000: Robot Perception
• CSCI 7000: Reinforcement Learning
• CSCI 7000: Physical Human Robot Interaction
• APPM 8500: Statistics, Optimization, and Machine Learning Seminar