ECE 5242

ECE 5242

Course information provided by the Courses of Study 2018-2019.

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 Recommend Prerequisite: CS 5785.

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 17481ECE 5242  LEC 001

  • Taught in NYC. Enrollment limited to Cornell Tech Students.