| CS 6601 - Artificial Intelligence - Spring 2008 | |||||||
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[Apr 21] The final exam will be held in Klaus 1456 (the usual classroom) on Tuesday, April 29th from 2:50 pm to 5:40 pm. Like the mid-term exam, the the final exam will be open book, open notes. Please do bring a calculator to the exam in case you need to do probability calculations. The exam will cover the entire course (and, thus, it will be comprehensive) but will emphasize the material covered after the mid-term exam (i.e., planning onwards) and material not covered in the programming projects. It is imperative that each student post the classnotes for the day for which he/she is responsible no later than Friday, April 25 (We will check the class swiki to insure fairness). Thanks. [Apr 21] Resources for final preparation have been posted. [Apr 21] The schedule has been updated. [Apr 15] Project 4 grades have been sent out, sample projects are posted here. [Apr 11] Project 5 has been assigned. It is due Apr 25th. [Apr 2] Project 4 has been assigned. It is due Apr 11th. [Mar 24] Project 2 grades have been announced, contact maya@cc if you didn't receive your grade. Sample solutions have been posted here. [Mar 10] Project 3 has been revised. [Mar 4] Project 3 has been assigned. Due date is Mar 26th. [Mar 3] The midterm exam will be held on March 10th (next Monday) in the classroom at the usual lecture time (9-10 am).The exam is open book, open notes. [Mar 3] Material for midterm preparation have been posted. [Feb 26] Check out the remarks about Project 2. [Feb 15] The schedule has been updated and Nillson's chapter on Genetic Algorithms has been posted. [Feb 8] Project 2 has been assigned. It is due Feb 29th. [Feb 4] Students can contribute class notes on Swiki. Here are instructions on how to do that. [Jan 25] Project 1 has been assigned. Due date is Feb 8th. Remember that late submissions will not be accepted. Lectures Meeting Times: 9:05 - 9:55 am on Mondays, Wednesdays and Fridays Meeting Place: Klaus 1456 Prerequisites Familiarity with basic concepts of computer science and methods of computer programming; some knowledge of theory of algorithms would be helful. Instructor Ashok Goel Email: goel@cc.gatech.edu Phone: 404-894-4994 Office: TSRB 219 Office Hours: MWF 10:00-11:00 TSRB 219 Teaching Assistants Neha Sugandh Email: nsugandh3@mail.gatech.edu Office: CoC Commons Office Hours: TR 11:30-1:00 Maya Cakmak Email: maya@cc.gatech.edu Office: TSRB 229A Office Space Office Hours: MWF 10:00-11:00 Office Policy Please try to meet us during the office hours - thanks. The best way to contact us at other times is by email. Description CS 6601 is a 3-credit graduate-level introductory course on Artificial Intelligence that serves as a "gateway" to more advanced courses in AI, ML, and Intelligent Systems. Objectives The learning objectives of the course are to (i) get a broad overview of Artificial Intelligence, (iii) develop an understanding of basic AI concepts and methods, (ii) develop an understanding of AI research issues and methods, and (iv) develop design skills in building simple intelligent agents. Format The course will consist of class lectures and discussions, a number of reading assignments, five design projects, and two examinations. Several homeworks will be assigned but not graded. Students will take turns taking class notes and mailing them to the TA who will post them on class swiki accessible from the class webpage. Class participation is strongly encouraged. Readings Primary text
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