4 courses with the subject MECS E, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MECS E4510EVOLUTIONARY COMPUTATION＆DESIGN AUTOMATI3.00
Prerequisites: Basic programming experience in any language. Fundamental and advanced topics in evolutionary algorithms and their application to open-ended optimization and computational design. Covers genetic algorithms, genetic programming, and evolutionary strategies, as well as governing dynamic of coevolution and symbiosis. Includes discussions of problem representations and applications to design problems in a variety of domains including software, electronics, and mechanics
- Subject
- MECS E
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- points
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Bulletin
- Source
- bulletin.columbia.edu
MECS E6616ROBOT LEARNING3.00
Prerequisites: (MECE E4602) and (MECS E4603) or (COMS W4733) MECE E4602 OR MECS E4603 OR COMS W4733 Robots using machine learning to achieve high performance in unscripted situations. Dimensionality reduction, classification, and regression problems in robotics. Deep Learning: Convolutional Neural Networks for robot vision, Recurrent Neural Networks, and sensorimotor robot control using neural networks. Model Predictive Control using learned dynamics models for legged robots and manipulators. Reinforcement Learning in robotics: model-based and model-free methods, deep reinforcement learning, sensorimotor control using reinforcement learning
- Subject
- MECS E
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- points
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Bulletin
- Source
- bulletin.columbia.edu
Source: Columbia University in the City of New York's catalog, linked per course · table learning_unit · CourseShelf publish 61
