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SENG 629 - Autonomous Vehicle Programming

This course builds on major ML concepts and techniques (including supervised, unsupervised, and reinforcement learning) to build complete machine learning solutions. Students apply ML programming techniques to solve problems in image recognition, object detection, and predictive modeling. Students build advanced software prototypes of autonomous vehicles that tackle problems, including path planning, traffic detection, and sensor data analysis. Typically offered Fall, Spring, Summer.
Level: GR
Credit Hours: 3

Prerequisite SENG 609 /D-
Ferris Equivalencies:

Department: SDGM


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