Department of Computer Science and Information Technology
Institute of Advanced Studies in Basic Sciences
Advanced AI (Autumn 2015)
Section: Room I003, Monday, 8:00 AM - 09:30 AM
Section: Room I003, Wendesday, 8:00 AM - 09:30 AM
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
| Name || E-mail Address || Role
| Azadeh Jalilian || email@example.com || Proctor
| Behzad Moradi || firstname.lastname@example.org || Proctor
Required Text: Artificial Intelligence Structures and Strategies for Complex Problem Solving, 6E
Supplementary Material: A Revealing Introduction to Hidden Markov Models
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
Author: Mark Stamp
You may see the pdf file here
Scope of the Course
This course will present advanced topics in Artificial Intelligence (AI).
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
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
You should deliver your projects attached by an appropriate report.
- 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
There will be one final examination.
- Statistics quiz: 14:00 PM, Tue, 10 Nov 2015
- Final: 9:00 AM, Tue, 15 Dec 2015
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%
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.
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