====== CMPU 395 Schedule ======

| M Aug 31 | Lecture  1 | {{courses:c395-200903:01-intro-2x2.pdf|Introduction, Presentation of the course}} |
| W Sep  2 | Lecture  2 | {{courses:c395-200903:02-hodhux-2x2.pdf|Neurophysiology, Hodgkin-Huxley model}} |
| W Sep  9 | Lecture  3 | {{courses:c395-200903:03-synapses-2x2.pdf|Point neurons and compartment models, Synaptic interaction}} |
| M Sep 14 | Lecture  4 | {{courses:c395-200903:04-intfire-2x2.pdf|Integrate-and-fire models,  Abstract models}}  | Chapter 1 |
| W Sep 16 | Lecture  5 | {{courses:c395-200903:05-singlelayer-2x2.pdf|Layered networks}}  | Chapter 2 |
| F Sep 18 | **Assignment 1** | //H-H simulation//                     |
| M Sep 21 | Lecture  6 | {{courses:c395-200903:06-plearning-2x2.pdf|Error driven learning}} |
| W Sep 23 | Lecture  7 | {{courses:c395-200903:07-multilayer-2x2.pdf|Multi-Layered Perceptrons}} | Chapter 3 |
| M Sep 28 | Lecture  8 | {{courses:c395-200903:08-backprop-2x2.pdf|Back-propagation learning}} |
| W Sep 30 | Lecture  9 | {{courses:c395-200903:09-generalization-2x2.pdf|Generalization, RBF networks}} | Chapter 4 |
| F Oct  2 | **Assignment 2** | //MLP classification//                 |
| M Oct  5 | Lecture 10 | {{courses:c395-200903:10-svm-2x2.pdf|Support Vector Machines, Structural Risk}} | Chapter 5 |
| W Oct  7 | Lecture 11 | {{courses:c395-200903:11-kernels-2x2.pdf|Support Vector Machines, Kernels}} |
| M Oct 12 | Lecture 12 | {{courses:c395-200903:12-trees-2x2.pdf|Concept learning, Decision trees}}       | Chapter 6 |
| W Oct 14 | Lecture 13 | {{courses:c395-200903:13-boosting-2x2.pdf|Boosting}}                            | Chapter 7 |
| F Oct 16 | **Assignment 3** | //SVM implementation//                 |
|  -- //October break// --  |||
| M Oct 26 | Lecture 14 | {{courses:c395-200903:14-competitive-2x2.pdf|Competitive learning}}             | Chapter 9 |
| W Oct 28 | Lecture 15 | {{courses:c395-200903:15-som-2x2.pdf|Topology preserving maps}}                 |
| M Nov  2 | Lecture 16 | {{courses:c395-200903:16-pca-2x2.pdf|Principal component analysis}}             | Chapter 10 |
| W Nov  4 | Lecture 17 | {{courses:c395-200903:17-assemblies-2x2.pdf|Pattern association, Cell assemblies}}  |
| F Nov  6 | **Assignment 4** | //SOM implementation//                 |
| M Nov  9 | Lecture 18 | {{courses:c395-200903:18-hopfield-2x2.pdf|Hopfield networks}}                   | Chapter 11 |
| W Nov 11 | Lecture 19 | {{courses:c395-200903:19-boltzmann-2x2.pdf|Boltzmann machines}}                 | Chapter 14 |
| M Nov 16 | Lecture 20 | {{courses:c395-200903:20-time-2x2.pdf|Time sequences}}                          |
| W Nov 18 | Lecture 21 | {{courses:c395-200903:21-hmm-2x2.pdf|Markov models}}                            | Chapter 15 |
| F Nov 20 | **Assignment 5** | //Experiments with Hopfield network//  |
| M Nov 23 | Lecture 22 | {{courses:c395-200903:22-rl-2x2.pdf|Reinforcement learning}}                    | Chapter 13 |
| W Nov 25 | Lecture 23 | {{courses:c395-200903:23-bellman-2x2.pdf|State value estimation}}               |
|  -- //Thanksgiving// --  |||
| M Nov 30 | Lecture 24 | {{courses:c395-200903:24-qlearn-2x2.pdf|Temporal difference learning}}          |
| W Dec  2 | Lecture 25 | {{courses:c395-200903:25-ga-2x2.pdf|Genetic algorithms}}                        | Chapter 12 |
| F Dec  4 | **Assignment 6** | //Q-Learning//                         |
| M Dec  7 | Lecture 26 | {{courses:c395-200903:26-closure-2x2.pdf|Closure}}                              |