ECE 5242
Last Updated
- Schedule of Classes - June 25, 2020 7:14PM EDT
- Course Catalog - June 25, 2020 7:15PM EDT
Classes
ECE 5242
Course Description
Course information provided by the Courses of Study 2019-2020.
How can intelligent machines perceive, make decisions, and execute their plans in an uncertain, dynamic world? This course will cover algorithms for robotic perception, planning, and control with a focus on real-time adaptation and learning. Students should have prior experience with methods in signal processing and machine learning. Topics covered include probabilistic methods for scene segmentation, multimodal sensory integration, latent variable models for dynamical systems, path planning, and reinforcement learning for motor control.
When Offered Spring.
Permission Note Enrollment limited to: students at Cornell Tech.
Prerequisites/Corequisites Recommended Prerequisite: CS 5785.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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TR
Bloomberg Center 161
Cornell Tech - Jan 21 - May 5, 2020
Instructors
Lee, D
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TR
Bloomberg Center 161
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Additional Information
Instruction Mode: Hybrid - Online & In Person
Taught in NYC. Enrollment limited to Cornell Tech Students.
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