COSC 4368: Artificial Intelligence Programming, spring 2018


General Information

 

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

 

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 108

 

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)

 

 

Raymond Sutrisno

Mahsa Shafaei

 

Office:

 

Office Hours:

 

Email: raymond@sutrisno.me

 

Office:

 

Office Hours:

 

Email: mshafaei@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 17

First day of classes

March 7

1st Midterm Exam

March 12, 14

No Class (Spring Holiday)

April 25

2nd Midterm Exam

May 4

Final Project Due

Note: There is no final exam in this course.

 

 


Schedule

 

 

Dates

Topic

January 17

Introduction

 

January 22, 24

Problem Solving

January 29, 31

Logical Agents

February 5, 7

First-Order Logic

February 12, 14

Probabilistic Reasoning

February 19, 21

Planning

February 26, 28

Making Decisions

March 7

1st Midterm Exam

March 12, 14

Spring Holiday -- No Class

March 19, 21

Machine Learning I

March 26, 28

Machine Learning II

April 2, 4

Machine Learning III

April 9, 11

Reinforcement leaning

April 16, 18

Perception and Robotics

April 25

2nd Midterm Exam

May 4

Final Project Due

 


Files for Downloading and Additional Class Information

 

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