BLG 521E - Advanced Artificial Intell.

Course Objectives

-

Course Description

Artificial Intelligence BLG 521E Spring - 2018
• Grading Policy: 30% HWs, 30% Project, 30% Final, Class Participation
• Lectures on Wednesdays (morning and afternoon sessions) in every two weeks.
• Required Background: Probability and Stochastic Processes (BBL 501, KOM 505E, or similar grad. level course).
• Recommended to take a convex optimization course.

Feb 14 Organizational issues. Course outline. Agents.
Feb 28 Search Algorithms and Heuristics
Mar 14 Uncertainty - Probability
Mar 28 Optimization
Apr 11 Machine Learning Concepts, Learning from Observations
Apr 25 SVM, Neural Networks
May 09 Deep Learning Paradigm
May 23 Project Presentations