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