COSC 4368: Artificial Intelligence Programming, Spring 2016


General Information

 

Instructor: Ricardo Vilalta (r.vilalta.us@ieee.org)

 

Office: HBS (Health and Biomedical Science Center) Room 332

 

Telephone: (713) 743-3614

 

Office Hours: Fridays 10:00 AM to 12:00 PM

 

Class room: CBB building room 118

 

Meeting Time: Tuesdays and Thursdays 10:00 AM - 11:30 AM.

 

Textbook: Artificial Intelligence A Modern Approach

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

 

 


Information TAs (Teacher Assistants)

 

 

Kinjal Dhar Gupta

Zahra Pisheh

 

Office: PGH 313

 

Office Hours: Tuesdays 3:00 to 5:00 PM

 

Email: kinjaldhargupta@gmail.com

 

Office: PGH 313

 

Office Hours: Wednesdays 3:00 to 5:00 PM

 

Email: zpisheh@uh.edu

 

 


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. 

 

 


Grading

 

 

Graded Work

Weight

2 Midterm Exams

60%

Homework

20%

Project

20%

 

 


Calendar

 

 

 

Dates to remember

Events

January 19

First day of classes

March 10

1st Midterm Exam

March 15,17

No Class (Spring Holiday)

April 28

2nd Midterm Exam

Note: There is no final exam in this course.

 

 


Schedule

 

 

Dates

Topic

January 19

Introduction

 

January 26

Problem Solving

February 2

Logical Agents

February 9

First-Order Logic

February 16

Probabilistic Reasoning

February 23

Planning

March 1

Making Decisions

March 8

Exam Review

March 10

1st Midterm Exam

March 15,17

Spring Holiday -- No Class

March 22

Learning and Statistical Learning I

March 29

Learning and Statistical Learning II

April 5

Learning and Statistical Learning III

April 12

Reinforcement leaning

April 19

Perception and Robotics

April 26

Exam Review

April 28

2nd Midterm Exam

 


Files for Downloading and Additional Class Information

 

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