RI | Education | Doctoral Program

Specialized Qualifier

You may download the Specialized Qualifier in PDF format.

Below is a list of examples of specialized qualfier courses that have been approved in the past by the Chair of the Program Committee, Reid Simmons.

Please note, specialized quals are "specialized" to the individual. Whether one is approved sometimes depends on the individual research interests, background, and other courses taken.

15-883 Computational Models of Neural Systems
36-725 Probability & Mathematical Statistics I
36-835/15-889 Statistical Approaches to Learning


10-701 Machine Learning
15-802/10-602 Statistical Approaches for Learning & Discovery
15-887 Planning, Execution & Learning


16-761 Introduction to Mobile Robots
16-869 Multi-Robot Systems
18-748 Dependable Systems


18-771 Linear Systems
16-862 Mobile Robot Programming
24-675 Micro/Nano Robotics


15-869 Image-based Modeling and Rendering
15-859 Scientific Computing
15-853 Algorithms in the Real World


36-753 Probability and Stochastic Processes
11-767 Information Theory & Learning
21-801 Advanced Topics in Discrete Math: Monte-Carlo Algorithms


16-869 Autonomous Multirobot Systems
80-705 Game Theory
16-830 Planning, Execution, and Learning


15-681 Machine Learning
15-783 Computational Perception and Scene Analysis
15-883 Computational Models of Neural Systems


16-859 Microelectromechanical Systems
24-719 Computational Fluid Dynamics
18-751 Applied Stochastic Processes


16-859 MicroElectroMechanical Systems
15-859 Introduction to Scientific Computing
16-864 Humanoids


15-881 Computational and Differential Geometry
15-859 Computational Projective Geometry
16-864 Humanoids


16-859 Microelectromechanical Systems
24-779 Human Systems and Controls
36-727 Probability and Mathematical Statistics II


18-751 Applied Stochastic Processes
18-752 Estimation, Detection, and Identification
18-748 Dependable System Design


16-778 Mechatronic Design
16-862 Mobile Robot Programming
18-771 Linear Systems


15-887 AI Planning, Execution, and Learning
10-701 Machine Learning
36-725 Probability and Mathematical Statistics 1


16-830 Planning, Execution, and Learning
15-802 Statistical Aproaches to Learning and Discovery
85-732 Nonverbal Communicative Behavior
05-899 Applied Research Methods


16-862 Mobile Robot Programming Lab
16-869 Autonomous Multi-robot systems
15-887 Planning Execution and Learning


18-751 Applied Stochastic Processes
24-779 Human Systems and Controls
18-792 Digital Signal Processing


24-779 Human Systems and Controls
24-879 Mechatronic Design
18-771 Linear Systems
42-752 Intro to Biomechanics


16-861 Mobile Robot Design
18-771 Linear Systems
16-830 Planning, Execution, and Learning


24-779 Human Systems and Controls
85-765 Cognitive Neuroscience
NROSCI 2102 (PIT) Systems Neurobiology
NROSCI 2100/2101 (PIT) Cellular & Molecular Neurobiology


15-785 Computational Perception and Scene Analysis
15-802 Statistical Aproaches to Learning and Discovery
18-751 Applied Stochastic Processes


10-602 Statistical Approaches for Learning & Discovery
36-725 Probability and Mathematical Statistics 1
15-826 Multimedia Databases and Data Mining


15-887 Planning Execution and Learning
15-889 Multi-Agent Systems: Theory and Hands-On Experience
15-853 Algorithms in the Real World


16-995 Differential Geometry (special topics)
18-771 Linear Systems
21-630 Ordinary Differential Equations


PT 704 Systems Neurobiology
PT 716 Neuro Physiology
85-765 Cognitive Neuroscience

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