The following courses satisfy the Sensing Core Area Breadth Requirement for the Robotics MS/PhD program:
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AEROSP 566: Data Analysis & System Identification
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AEROSP 567 (formerly AEROSP 740): Inference Estimation and Learning
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CEE 575: Sensors, Data, and Smart Systems
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BIOMEDE 517: Neural Engineering
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EECS 442: Computer Vision *Enrollment is primarily reserved for undergraduate CS students. Grad enrollment with instructor consent
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EECS 504: Foundations Computer Vision
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EECS 542: Advanced Topics in Computer Vision
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EECS 551: Matrix Methods for Signal Processing, Data Analysis and Machine Learning
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EECS 556: Image Processing
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EECS 559: Advanced Signal Processing
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EECS 564: Estimation, Filtering, and Detection
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EECS 568/NAVARCH 568/ROB 530: Mobile Robotics: Methods and Algorithms
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IOE 491: Wearable Sensors
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MECHENG 599: Data-Driven Methods for Control Systems (Inyang-Udoh)
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ROB 535&599/MECHENG 599/NAVARCH 599&565/EECS 498: Self-Driving Cars
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ROB 599: Deep Learning for Robot Perception
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ROB 646/MECHENG 646: Mechanics of Human Movement
Special Topics Courses:
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AEROSP 740: Visual Navigation for Autonomous Aerial Vehicles
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CSE 598: Computer Graphics and Generative Models
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EECS 598: Special Topics - Autonomous Transportation Systems
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EECS 598: Special Topics - Optimization methods for signal and image processing
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EECS 598: Special Topics - Deep Learning for Computer Vision
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EECS 598: Special Topics - The Ecological Approach to Visual Perception