| Date | Discussion Topic | Reading | Graded Events |
|---|---|---|---|
| 01/16 01/18 |
Machine Learning Introduction Concept Learning |
ML 1 ML 2 |
|
| 01/21 01/23 01/25 |
Martin Luther King Day! From Real to Artificial Ants The ACO Metaheuristic (Chris) |
ACO 1 ACO 2.1 - 2.3 |
|
| 01/28 01/30 02/01 |
The ACO Metaheuristic (Shen) AI, Neural Networks - EPS 347 Human Brain, Memory - EPS 347 (Nick) |
ACO 2.4 - 2.7 OI 1, 2 OI 3, 4 |
|
| 02/04 02/06 02/08 |
Decision Tree Learning (Rich) Artificial Neural Networks (Promethea) Artificial Neural Networks (Paul) |
ML 3 ML 4.1 - 4.5 ML 4.6 - 4.9 |
|
| 02/11 02/13 02/15 |
ACO Algorithms for the TSP (Kristie) ACO Algorithms for the TSP (Tim) ACO Theory (David) |
ACO 3.1 - 3.5 ACO 3.6 - 3.11 ACO 4.1 - 4.3 |
|
| 02/18 02/20 02/22 |
President's Day! ACO Theory (Jeff) ACO Theory (Neal Richter) |
ACO 4.4 - 4.7 |
|
| 02/25 02/27 02/29 |
ACO for NP-Hard Problems (Ben) ACO for NP-Hard Problems (Chris) ACO for NP-Hard Problems |
ACO 5.1 - 5.3 ACO 5.4 - 5.5 ACO 5.6 - 5.10 |
|
| 03/03 03/05 03/07 |
AntNet: Data Network Routing Algorithm AntNet: Data Network Routing Algorithm Exam |
ACO 6.1 - 6.2 ACO 6.3 - 6.9 |
Project Proposal Exam |
| 03/10 03/12 03/14 |
Spring Break! Spring Break! Spring Break! |
|
|
| 03/17 03/19 03/21 |
Conclusions and Prospects for the Future A New Framework of Intelligence - EPS 347 University Day! |
ACO 7 OI 5 |
|
| 03/24 03/26 03/28 |
Evaluating Hypotheses (Nick) Evaluating Hypotheses (Shen) How the Cortex Works -EPS 347 |
ML 5.1 - 5.3 ML 5.4 - 5.7 OI 6 (pp. 106 - 141) |
|
| 03/31 04/02 04/04 |
Bayesian Learning (Rich) Bayesian Learning (Promethea) How the Cortex Works - EPS 347 |
ML 6.1 - 6.6 ML 6.7 - 6.13 OI 6 (pp. 141 - 176) |
|
| 04/07 04/09 04/11 |
Computational Learning Theory (Paul) Computational Learning Theory (Tim) Consciousness and Creativity - EPS 347 |
ML 7.1 - 7.3 ML 7.4 - 7.6 OI 7 |
|
| 04/14 04/16 04/18 |
Instance-Based Learning (David) Genetic Algorithms (Kristie) The Future of Intelligence - EPS 347 |
ML 8 ML 9 OI 8, Epilogue |
|
| 04/21 04/23 04/25 |
Reinforcement Learning (Ben) Reinforcement Learning (Jeff) Top 10 Algorithms in Data Mining - EPS 347 |
ML 13.1 - 13.3 ML 13.4 - 13.8 Algorithms 1-3 |
|
| 04/28 04/30 05/02 |
Top 10 Algorithms in Data Mining Top 10 Algorithms in Data Mining Exam |
Algorithms 4-7 Algorithms 8-10 |
Project Paper Exam |
| 05/09 | 8:00 a.m. - 9:50 a.m.. | Project Presentation |