First Instructor: Dr. Ebrahim Ansari
Office Hours: See my weekly Schedule
Location: Computer Science and Information Technology Dept., Room 219

Second Instructors: Dr. Parvin Razzaghi
Location: Computer Science and Information Technology Dept., Room 215

Required Text: Artificial Intelligence Structures and Strategies for Complex Problem Solving, 6E
Author: George F Luger
Publisher: PERSON /Addison Wesley

Supplementary Material: Essentials of Probability & Statistics for Engineers & Scientists
Author: Ronald E. Walpole & Raymond H. Myers & Sharon L. Myers & Keying Ye
Publisher: PERSON

Scope of the Course

This course will present advanced topics in Artificial Intelligence (AI).

Syllabus

We should learn about these subjects:

• Introduction here
• Predicate Calculus here
• Graph based Search here
• Heuristic Search here
• Introduction to Statistics and Stochastic methods here
• Genetic Algorithm here
• TSP and Genetic here
• Introduction to Machine Learning
• Graphical models
• Reinforcement learning
• Convex Optimization

Assignments

Each assignment will have a clearly stated due date and time. Assignments start out being easy but get harder over the semester.

You should prepare and give up your assignments before deadline directly to me.

• Exercises from chapter 3
• Exercises from chapter 4
• Summary of 5.4.2

Programming Assignments

• Finding disconnected componends in a grid
• 8-queens problem and local search. You may use random restart and side-way moves.
• 8-queens problem and Genetic algorithm

Tests

There will be one final examination.

• Statistics quiz: 14:00 PM, Tue, 10 Nov 2015
• Final: 9:00 AM, Tue, 15 Dec 2015

Grades

Your performance in this class will be evaluated using your scores for programming assignments, and two tests. The weights of each of these components are listed below. There are no extra credit projects or assignments to improve your grade.

• Assignments: 25%
• Programming Assignments: 35%
• Statistics quiz: 10%
• Final Test: 30%

Policies

Acts that exceed the bounds defined by the approved collaboration practices will be considered cheating. Such acts include:

• Copying solutions, code, or programs from someone else or giving someone else your solutions, code, or programs
• Participation in a discussion group that develops a solution that everyone copies
• Employing someone to write the solutions for you on homework assignment problems.

Announcements

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