| CSE 4308 / CSE 5360 - Artificial Intelligence I | |||||
| Tentative Lecture and Assignment Schedule | |||||
| Fall Semester 2006 - TTh 2:00 - 3:20 | |||||
| Class | Date | Textbook Readings | Other Readings | Lecture Topics | Assignments |
| 1 | 08/29 | 1 | Slides ((c)S. Russel) | Course Details and Overview | |
| 2 | 08/31 | 2 | Slides ((c)S. Russel) | Introduction to AI and Agents | |
| 3 | 09/05 | Slides ((c) Cook) | LISP | ||
| 4 | 09/07 | 3 | Slides ((c)S. Russel) | Solving Problems by Search | |
| 5 | 09/12 | 4 | Search continued | ||
| 6 | 09/14 | 4 | Slides ((c)S. Russel, Cook) | Search continued | |
| 7 | 09/19 | 4 | Search continued | ||
| 8 | 09/21 | 6 | Slides ((c)S. Russel) | Game Playing | |
| 9 | 09/26 | 6 | Game Playing continued | Homework 1 due ( Street map file )- Sample Solution ( A* LISP code ) | |
| 10 | 09/28 | 7 | Slides ((c)S. Russel) | Knowledge and Logic Reasoning | |
| 11 | 10/03 | 8 | Slides ((c)S. Russel) | First Order Logic, Knowledge Engineering | Homework 2 due - Sample Solution |
| 12 | 10/05 | Exam 1 | |||
| 13 | 10/10 | 8 | Proofs | ||
| 14 | 10/12 | 9 | Slides ((c)S. Russel) | Resolution | |
| 15 | 10/17 | 9 | Unification | ||
| 16 | 10/19 | Expert Systems | |||
| 17 | 10/24 | 11 | Slides ((c)S. Russel) | Planning | |
| 18 | 10/26 | 11 | Planning continued | ||
| 19 | 10/31 | 12 | Slides ((c)S. Russel) | Conditional Planning and Replanning | Homework 3 due ( Otter Downloads and Documentation ) - Sample Solution |
| 20 | 11/02 | 13 | Conditional Planning | ||
| 21 | 11/07 | 14.1 - 3 | Slides ((c)S. Russel) | Uncertainty | |
| 22 | 11/09 | Exam 2 | |||
| 23 | 11/14 | BN Slides ((c)S. Russel),Utility Slides ((c)S. Russel) | Probabilistic Reasoning | Homework 4 ( Sensory GraphPlan - including sample files ) - Sample Solution | |
| 24 | 11/16 | 18.1 - 18.3 | FLL_Fuzzy_Logic_Tutorial | Fuzzy Logic | |
| 25 | 11/21 | 20.5 | Machine Learning | ||
| 11/23 | Thanksgiving - No Class | ||||
| 26 | 11/28 | 20.5 | Slides ((c)S. Russel) | Neural Networks | |
| 27 | 11/30 | Genetic Algorithms | Homework 5 - Sample Solution | ||
| 28 | 12/05 | Applications of AI | |||
| 29 | 12/07 | Conclusions and Review | Homework 6 due ( SNNS/JavaNNS Download and Documentation , XOR Example Network , XOR Example Training Patterns ) | ||
| 30 | 12/12 | Final Exam (2:00 pm - 4:30 pm) - Covers all Course Material | |||
This schedule is tentative and subject to change. If changes are
necessary they will be announced in class and posted in the schedule
on the course page.