COSC 4368: Artificial Intelligence Programming, spring 2017

General Information


Instructor: Ricardo Vilalta (


Office: MRE (Multidisciplinary Research and Engineering) Bldg., Room 203C


Telephone: (713) 743-3614


Office Hours: Mondays 11:00 AM to 12:00 PM


Class room: CBB Bldg., Room 124


Meeting Time: Mondays and Wednesdays 1:00 - 2:30 PM.


Textbook: Artificial Intelligence A Modern Approach

by Stuart Russell and Peter Norvig. 3rd Edition, Prentice Hall, 2010.



Information TAs (Teacher Assistants)



Zahra Pisheh

Dainis Boumber


Office: 203A MRE Building


Office Hours: Thurs. 9-11:00 AM




Office: 203B MRE Building


Office Hours: Wed. 2:30-3:30 PM





Course Description


Artificial Intelligence is the study of how to embed intelligent behavior in machines. The field is relatively young (since 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 fundamentals 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). Main topics include problem solving, knowledge and reasoning using first order logic, planning, uncertain and probabilistic reasoning, learning, and robotics. 






Graded Work


2 Midterm Exams












Dates to remember


January 18

First day of classes

March 6

1st Midterm Exam

March 13-18

No Class (Spring Holiday)

April 24

2nd Midterm Exam

Note: There is no final exam in this course.








January 18



January 23

Problem Solving

January 30

Logical Agents

February 6

First-Order Logic

February 13

Probabilistic Reasoning

February 20


February 27

Making Decisions

March 6

1st Midterm Exam

March 13

Spring Holiday -- No Class

March 20

Machine Learning I

March 27

Machine Learning II

April 3

Machine Learning III

April 10

Reinforcement leaning

April 17

Perception and Robotics

April 24

2nd Midterm Exam

May 1

Final Project Due


Files for Downloading and Additional Class Information


Connect to the class through Blackboard Learn