CS 687
Advanced Artificial Intelligence

Time/Location: Thursday 4:30-7:10pm, Art and Design Building 2026  
Instructor: Jana Kosecka
Office hours:  2-3pm Wednesday
Contact: Office 4444 Research II, e-mail: kosecka@gmu.edu, 3-1876
Course web page: http://www.cs.gmu.edu/~kosecka/cs687/


This course will cover several advanced topics in Artificial Intelligence beyond those covered in CS 580. These topics will extend existing knowledge about search, machine learning, reasoning and situated action.Topics will include planning, probabilistic reasoning, reinforcement learning, neural networks, natural language processing, bayesian networks, robotics, vision and intelligent multiagent systems. AI is a breadth-oriented field, and the goal of this course is to provide the student with sufficient breadth beyond CS580 to act as a well-versed AI researcher.

The course will comprise of lectures by the instructor, homeworks, final exam and the final project.

Schedule, Homeworks, Handouts

Prerequisites:

CS 580, CS480 Artificial Intelligence
Students taking the class should be comfortable with linear algebra, calculus and probability

Required Textbook:

Russel and Norvig: Artificial Intelligence: A Modern Approach, 3rd edition

Grading:

Homeworks: 40%
Exam: 40%
Project: 20%
Late policy: Each student will have a 3 day late submission budget, which could be used towards late submssion on the homeworks.