Course: EW486A Artificial Intelligence and Data Science for Robotics and Control Engineers

3 Credits – 2 Recitation Hours – 2 Laboratory Hours


Course Description:

This course explores topics in data science and artificial intelligence, with an emphasis on applications in robotics and control engineering, via a series of programming based-projects.


Pre-requisites:

EW200 or equivalent programming experience; SM212 or equivalent exposure to Linear Algebra

Course Coordinator:

Prof. Esposito

Textbook:

None

Course Objectives:

  1. Learn the history of AI

  2. Apply common techniques to regression and classification problems

  3. Appreciate AI's limitations

Topics:

  1. History of AI

  2. Ethics of AI

  3. Webscraping and Data Cleaning

  4. Regression

  5. Artificial Neural Networks

  6. Convolutional Neural Networks.