CSc 4810/6810 (Computer Numbers 17821/17822)

Artificial Intelligence

Spring 2016 (2-Page syllabus)

Classroom: Langdale Hall 305, 2:50 p.m.–4:35 p.m.,Monday/Wednesday

Instructor:Dr. Yanqing Zhang

Office:743, 25 Park Place

Phone: 404-413-5733 (o)

Fax:404-413-5717 (o)

E-mail:

Website:

Office Hours:1:00p.m.-2:30 p.m.,Monday or Wednesdayor by appointment

Text: Artificial Intelligence - A Modern Approach, Third Edition, by S. J. Russell and P. Norvig, Prentice Hall, 2009.

Course Content: Introduction to basic AI techniques and methodologies. Topics include search strategies, problem solving, knowledge and reasoning, logic and deduction, expert systems, neural networks, fuzzy logic, genetic algorithms, learning, data mining, intelligent agents, etc. Hands-on programming projects.

Prerequisite: CSc 3410 Data Structureswith grades of C or higher.

Course Requirements: All students should not only learn basic theoretical principles but also accumulate practical hands-on experience. Undergraduate students and graduate students will do assignments, take tests and finish programming projects. At the end of this semester, all graduate students and undergraduate students will give presentations to share knowledge and skills. An undergraduate student needs to write a technical report. A graduate student needs to write a conference paper. Each student does his/her independent research project.

Class Policy:

Attendance: Students are required to attend all classes.

Academic honesty: Plagiarism will result in a score of zero on the test or paper. The instructor has the right to make a decision of if two or more works are cheating.

Assignments and Projects: They must be handed in on time and will not be accepted when past due.

Withdrawals: March 1Tuesday is the last day to withdraw and possibly receive a W.

Make-ups: need the instructor's special permission.

Grading Policy:

Mid-termExam20% / A+ [97, 100] / A [93, 97) / A- [90, 93)
Final Exam 20% / B+ [87, 90) / B [83, 87) / B- [80, 83)
Assignments 15% / C+ [77, 80) / C [70, 77)
Projects 40% / D+ [67, 70) / D [63, 67) / D- [60, 63)
Attendance 5% / F [0, 60)

Tentative Course Outline and Schedule:

Chapter 1 Introduction / Jan. 11
Chapter 2 Intelligent Agents / Jan. 13, 20
Chapter 3 Solving Problems by Searching / Jan. 25, 27, Feb. 1
Chapter 4 Informed Search and Exploration / Feb. 3, 8, 10
Chapter 6 Adversarial Search / Feb. 15, 17, 22, 24
Chapter 7 Logical Agents / Feb. 29, Mar. 2
* Mid-term Exam / Mar. 7
Chapter 13 Uncertainty / Mar. 9, (Spring Break: 3/14-3/20), 21, 23
Chapter 14 Probabilistic Reasoning / Mar. 28
Chapter 20 Statistical Learning Methods / Mar. 30
Chapter 21 Reinforcement Learning / April 4
Chapter 27 AI: Present and Future / April 6
# Project Presentations / April 11, 13, 18, 20
Final Exam / April 25
A paper file with IEEE format, ppt presentation file andsoftware files (email a zip file to ) / April 30

Statement: This course syllabus provides a general plan for the course; deviations may be necessary.

Research Paper

Objectives

Write a high quality research paper in artificial intelligence to master professional research skills.

Sample Paper Titles

Sample titles are, but not limited to:

New Intelligent Map Search Algorithm

New Smart Social Network Algorithm

New Intelligent Stock Value Prediction Algorithm

New Rule Based Expert System

New Fuzzy Web ShoppingSystem

Research Paper

Please refer to journal papers and books addressing the problem you choose.

IEEE Paper format is at

A typical format of a paper (you may have less or more sections) is:

Title

Your Name

Abstract

1. Introduction (specify the research problem, current methods, and a new method)

2. Section 2 Title (clear description of related publications)

3. Section 3 Title (clear description of the new method)

4. Section 4 Title (clear description of implementation)

  1. Section 5 Title (show simulation results and performance analysis results)
  2. Conclusions (describe major conclusions objectively, and plan future work)

References

(list references (Authors, book title (or paper name and journal name), page numbers, publisher, year)).

Note: please use IEEE Xplore at GSU to find relevant high quality publications such as IEEE Transactions or ACM Transactions papers and top IEEE or ACM conference papers as samples: visit IEEE Xplore, then select IEEE Xplore, finally may use keywords to find latest research publications.

Due Date

A zip file of the research paper, a presentation file and software due 4/30/2016.