The schedule below is approximate, and will flex and bend as the course progresses. The order of topics will probably remain the same, but the exact dates for each topic might change.
| SCHEDULE OF TOPICS | ||||
| Wk. | Date | Topic | Anderson reading | PDP reading |
| 1 | Tu 14 Jan | Introduction: Models in general; connectionist models in particular. | Ch. 1, 2, and 3. | Ch. 1 and 2 (program iac), and Appendices. |
| Th 16 Jan | ||||
| 2 | Tu 21 Jan | |||
| Th 23 Jan | Linear associators. | Ch. 5, 6, 7, 11 and 9 (pp.239-254). |
Ch. 4 (program pa). | |
| 3 | Tu 28 Jan | |||
| Th 30 Jan | ||||
| 4 | Tu 4 Feb | |||
| Th 6 Feb | ||||
| 5 | Tu 11 Feb | |||
| Th 13 Feb | ||||
| 6 | Tu 18 Feb | Single-layer non-linear networks: Perceptrons. | Ch. 8. | Ch. 4, continued. |
| Th 20 Feb | ||||
| 7 | Tu 25 Feb | Multi-layer non-linear networks: Backprop. | Ch. 9 (pp.255-277) and Ch. 13. |
Ch. 5 (program bp). |
| Th 27 Feb | ||||
| 8 | Tu 4 Mar | |||
| Th 6 Mar | ||||
| 9 | Tu 11 Mar | |||
| Th 13 Mar | ||||
| Br. | 18, 20 Mar | Spring Break | ||
| 10 | Tu 25 Mar | Simple recurrent networks (SRNs). | n/a | Ch. 5, last sections. |
| Th 27 Mar | ||||
| 11 | Tu 1 Apr | |||
| Th 3 Apr | ||||
| 12 | Tu 8 Apr | Symmetric recurrent networks. | 12, 4, 15, 16 (in this order). | Ch. 3 (program cs),
Ch. 6 (program aa/BSB), Ch. 2 (program iac). |
| Th 10 Apr | ||||
| 13 | Tu 15 Apr | |||
| Th 17 Apr | ||||
| 14 | Tu 22 Apr | Competitive Learning. | Ch. 10, 14. | Ch. 6 (program cl). |
| Th 24 Apr | ||||
| 15 | Tu 29 Apr | Modeling psychological data. | Ch. 17. | Ch. 7 (program ia). |
| Th 1 May | ||||
| (Fin.) | (Th 8 May) | NO Final Exam for this course (NOT happening at 5:00-7:00 pm) | ||