|General Information||Resources||Weekly Schedule||Credits||Lecture Notes||Example Code||Read-Only Board|
I. General Information
Dr. Yoonsuck Choe
Office: HRBB 322B
Office hours: T/TR 10:00am-11:00am. Other times: by appointment only.
Office: HRBB 322A
Office hours: T 1:30-3:00pm, F 2:00-3:30pm in HRBB 322A.
T/TR 11:10am-12:25pm, ZACH 105B
To understand the problems in AI and to learn how to solve them:
- traditional methods in AI (search, pattern matching, logical inference, theorem proving, etc.).
- modern approaches in AI (learning, probabilistic approaches, etc.).
Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (AIMA, hereafter), 2nd Edition, Prentice Hall, New Jersey, 2003.
* The first edition may be okay if that's what you have.
See the Weekly Schedule section for more details.
- Introduction : 1 week
- LISP : 1 week
- Search : 1.5 weeks
- Game playing, alpha-beta pruning: 0.75 week
- Propositional Logic, first-order logic, theorem proving: 3.5 weeks
- Uncertainty, probabilistic approaches: 1.5 weeks
- Learning: 2 weeks
- Special topics : 1 week
Grading will be on the absolute scale. The cutoff for an `A' will be 90% of total score, 80% for a `B', 70% for a `C', 60% for a `D', and below 60% for an 'F'.
The TAMU student rules (http://student-rules.tamu.edu/), Part I Rule 20 will be strictly enforced. Local Course Policy:
- All work should be done individually and on your own unless otherwise allowed by the instructor.
- Discussion is only allowed immediately before, during, or immediately after the class, or during the instructor's office hours.
- If you find solutions to homeworks or programming assignments on the web (or in a book, etc.), you may (or may not) use it. Please check with the instructor.
Americans With Disabilities Act (ADA) Policy Statement: The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you believe you have a disability requiring an accommodation, please contact the Department of Student Life: Services for Students with Disabilities in Room 126 of the Koldus Building, or call 845-1637.
III. Weekly Schedule and Class Notes
1.1 and 1.2
|First day of class||slide01.pdf
26.1 and 26.2
|Unix basics (DIY); Last day to drop a course is 9/2||slide01.pdf
|2||9/6||Lisp||Lisp quick ref||slide02.pdf
|2||9/8||Lisp (Symbolic Differentiation)||Prog. Asmt. #1 announced||slide02.pdf
|3||9/13||Uninformed Search (BFS,DFS,DLS,IDS)||Chapter 3.1-3.5 (3.6,3.7 optional)||slide03.pdf
Simulated Annealing, etc.
|4||9/20||Informed Search (BestFS,Greedy,A*)||Chapter 4.1-4.3 (4.4 optional)(old 4.1-4.3)||slide03.pdf
|Chapter 5 (optional) and 6.1-6.8 (old 5)||Prog. Asmt. #2 announced||Prog. Asmt. #1 due changed to Monday 9/26 (midnight)||slide03.pdf
|5||9/27||Game playing wrap up; Propositional Logic||Chapter 7.1, 7.3, 7.5, 7.6 (old 6)||HW#1 Announced||slide03.pdf
|5||9/29||Theorem proving||Chapter 9 (old 10)||slide04.pdf
|6||10/4||First-order logic||Chapter 8 (old 7)||HW#2 announced||HW#1 due||slide04.pdf
|Chapter 9 (old 10)||HW#2 due; Midterm review||slide04.pdf
|7||10/13||Midterm||Exam||In class exam.|
|8||10/18||Uncertainty||Chapter 13 (old 14)||10/17: Midsemester grades due.||slide05.pdf
|8||10/20||Uncertainty (continuted)||Chapter 13 (old 14)||slide05.pdf
|Chapter 14 (old 15)||Program #2 due 10/26||slide05.pdf
|10||11/3||"||Prog. Asmt. #3 announced;
Homework #3 announced
|11||11/8||Learning (Nnets)||Chapter 20 (old 19)||slide06.pdf
|11||11/10||Guest Lecture||Yingwei Yu: Topic TBA|
|12||11/15||No class||Society for Neuroscience meeting: Make-up session:11/7 5:45pm HRBB 302|
|12||11/17||Autonomous semantics||Special topics||Paper Commentary Asmt. announced||Course evaluation;
Homework #3 due (in class);
Mini project proposal due (in class)
|13||11/22||No class||Make up to be announced (out-of-class final exam review session)|
|14||11/29||Guest Lecture||Heejin Lim will give a guest lecture on delay compensation in the nervous system|
|14||12/1||Natural language processing||slide08.pdf
|15||12/6||Advanced topics||Analogy||Last day of class.
Program #3 due (midnight)
|12/9||Final Exam||3:00--5:00pm, ZACH 105B|
Paper commentary due (in class)
Many ideas and example codes were borrowed from Gordon Novak's AI Course and Risto Miikkulainen's AI Course at the University of Texas at Austin (Course number CS381K).