COSC 6368: Artificial Intelligence, Summer 2023

General Information


Ricardo Vilalta (


Durga D. and Sushila Agrawal Engineering Research Bldg. Room 203C.

Office Hours:

By email only.

Class Time and Room Location:

The class is fully online. All material will be posted on Canvas (including exams).


(713) 743-3614


Artificial Intelligence A Modern Approach by Stuart Russell and Peter Norvig. 3rd Edition, Prentice Hall, 2010.

TA Information

Steve Aigbe Farzana Yasmin
Office: Meetings will be online through TEAMS Office: Meetings will be online through TEAMS
Office Hours: TBD Office Hours: Wednesdays 11:00 AM - Noon
Email: Email:

Course Description

Artificial Intelligence is the study of how to embed intelligent behavior in machines. The field is relatively young (since the middle 20th century) and it is not until recently that it has experienced an increase in maturity as seen by a more rigorous and formal approach to its methodology. In this course, we will cover fundamental aspects of artificial intelligence in a broad and general fashion.

The class will be self-contained (i.e., I will not assume any previous knowledge). The main topics include problem solving, knowledge and reasoning using first-order logic, planning, uncertain and probabilistic reasoning, learning, and robotics.

For more information, visit the course on Canvas.


Graded Work Weight

Midterm Exams

Final Project




Dates to Remember Event
June 5 1st week of class - check material on Canvas
June 28 1st Midterm Exam
July 19 2nd Midterm Exam
July 24 Final Project Due

Note: There course has no final exam.


Dates Topic
Week of June 5 Introduction to Artificial Intelligence
Agents and Environments
Search Techniques (Uninformed and Informed)
Week of June 12 Logical Agents
Prolog I
First Order Logic
Prolog II
Inference First Order Logic
Week of June 19 Classical Planning
Planning in the Real World
Probabilistic Reasoning
Wednesday June 28 1st Midterm Exam
Week of July 3 Reasoning Over Time
Simple Decisions
Learning from Observations
Knowledge in Learning
Week of July 10 Statistical Learning
Foundations of AI
Wednesday July 19 2nd Midterm Exam
Monday, July 24 Final Project Due

Additional Information

For more information, visit the course on Canvas.

Note: Computer and internet access are required for the course. For the current list of minimum technology requirements and resources, copy/paste/navigate to the URL For additional information, contact the office of Online & Special Programs at or 713-743-3327.