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Multi-disciplinary in scope, the program provides an ideal foundation for what todays experts in robotics and intelligent systems need to know from artificial intelligence, computer vision, control systems, dynamics, and machine learning to design, programming and prototyping of robotic systems.
The modern expert in robotics and intelligent systems must be proficient in artificial intelligence, computer vision, control systems, dynamics, machine learning, as well as the design, programming, and prototyping of robotic systems. Such subjects typically reside in different departments, and departmental programs do not offer the flexibility for cross-departmental training. The Robotics Master of Science in Engineering (MSE) program offers a more balanced and flexible academic curriculum that cuts across multiple departments.
The Robotics M.S.E. requirements consist of a total of ten courses, including an optional thesis project. Students are required to take courses in at least three of the four foundational areas: Artificial Intelligence, Mechanism Design and Analysis, Perception and Control.
- CIS 519 Introduction to Machine Learning
- CIS 520 Machine Learning
- CIS 521 Fundamentals of AI
- ESE 650 Learning in Robotics
Robot Design and Analysis:
- MEAM 510 Design of Mechatronic Systems
- MEAM 520 Introduction to Robotics
- MEAM 620 Advanced Robotics
- ESE 500 Linear Systems
- ESE 505/MEAM 513 Control Systems Design
- CIS 580 Machine Perception
- CIS 581 Computer Vision & Computational Photography