This syllabus will be updated throughout the semester
words link to pdf lecture notes, * links to open office slides| Week 1: 9/5-9/9 | Intro to AI*, Agents* | Read: Chapters 1 and 2 |
| Week 2: 9/12-9/16 hw1 assigned |
Uninformed Search* | Read: Chapter 3 |
| Week 3: 9/19-9/23 | Informed Search*, Escaping Local Maxima* Continuous Spaces* |
Read: Chapter 4 sections 4.1-4.4 |
| Week 4: 9/26-9/30 hw2-part A assigned hw2-part B assigned code for hw2-part B |
Game Playing* Game Theory* |
Read: Chapter 6 Chapter 17 sections 17.6-17.7 |
| Week 5: 10/3-10/7 | Logical Agents* | Read: Chapter 7 sections 7.1-7.6 |
| Week 6: 10/10-10/14 | First Order Logic*, Inference in FOL* | Read: Chapter 8 |
| Week 7: 10/17-10/21 hw3 assigned |
Inference and Prolog*, Prolog code:missile.pl family.pl sort.pl and segmentation.pl Intro. to Learning* |
Read: Chapter 9 |
| Week 8: 10/24-10/28 | Decision Trees* and ensembles and model evaluation* | Read: Chapter 18 |
| Week 9: 10/31-11/4 midterm nov 2nd 7:15pm CS 1240 |
Perceptron* | Read: Chapter 20.5 |
| Week 10: 11/7-11/11 | Neural Networks*, learning bias & clustering* | Read: Chapter 20.5 and 20.3 on clustering and page 845-6 on clustering |
| Week 11: 11/14-11/18 | probability and naive bayes* Bayesian Networks* | Read: Chapter 13 and chapter 20 section 2 on naive bayes model (page 718) |
| Week 12: 11/21-11/25* *Short week for Thanskgiving break |
Bayesian Networks continued* | Read: Chapter 14 section 14.1-14.5 Chapter 20 section 20.1 and 20.2 |
| Week 13: 11/28-12/2 | weka and ILP* Support Vector Machines* | Read: Chapter 19 section 5 Chapter 20 section 6 and 7 |
| Week 14: 12/5-12/9 | Project Presentations | Read: Project Pages |
| Week 15: 12/12-12/15 | Conclusions* | Read: Project Pages |