Reference material
From 6.034 Wiki
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| 6 || Wed || Quiz 3 || - | | 6 || Wed || Quiz 3 || - | ||
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| - | | 8 || Fri || Probability review || 4 | + | | 8 || Fri || Probability review, slides || 4 |
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| 11 || Mon || Holiday: Veteran's day || - | | 11 || Mon || Holiday: Veteran's day || - | ||
Revision as of 02:36, 6 November 2019
Assignment of material to quizzes is shown below. (Any changes to the information below will be announced well before a quiz.) SRN in an assignment means the material will be in the "spiritual" and "right-now" part of the quiz. See Grading and collaboration policy.
Included below are readings associated with lecture topics; many are from Prof. Winston's book, Artificial Intelligence. (The bibliography for the book can be found here.) If/when terminology differs, prefer terminology used in the current lectures, recitations, and programming labs.
| September | Day | Topic | Quiz # |
|---|---|---|---|
| 4 | Wed | What it's all about, summary | |
| 6 | Fri | Problem solving and goal trees, slides | 1 |
| 9 | Mon | Rule-based expert systems, slides | 1 |
| 11 | Wed | Lightning review: Basic search, slides | 1 |
| 13 | Fri | Optimal search, boards | 1 |
| 16 | Mon | Games, games practice 1, games soln 1, games practice 2, games soln 2 | 1 |
| 18 | Wed | Constraints in interpretation, slides | 2SRN |
| 20 | Fri | Holiday: Student | - |
| 23 | Mon | Constraints in resource allocation, slides | 2 |
| 25 | Wed | Quiz 1, solutions | - |
| 27 | Fri | Right-now: Dr. Marc Raibert, Boston Dynamics | 2SRN |
| 30 | Mon | Nearest neighbor learning, slides | 2 |
| October | Day | Topic | Quiz # |
| 2 | Wed | Identification tree learning, boards | 2 |
| 4 | Fri | Right-now: Prof. Ed Boyden, Dept. of Biological Engineering | 2SRN |
| 7 | Mon | Neural net learning, slides | 3 |
| 9 | Wed | Deep neural nets, slides | 2SRN |
| 11 | Fri | Right-now: Prof. Aleksander Madry, Dept. of EECS | 2SRN |
| 14 | Mon | Holiday: Columbus day | - |
| 16 | Wed | Quiz 2, solutions | - |
| 18 | Fri | AlphaGo and AlphaGo Zero, slides, boards | 3SRN |
| 21 | Mon | Support vector machines, SVM notes, slides | 3 |
| 23 | Wed | Learning in sparse spaces | 3SRN |
| 25 | Fri | Genetic algorithms, boards | 3SRN |
| 28 | Mon | Representations, slides | 3SRN |
| 30 | Wed | Learning from near misses, boards | 3SRN |
| November | Day | Topic | Quiz # |
| 1 | Fri | Right-now: Prof. Nancy Kanwisher, Dept. of Brain and Cognitive Sciences | 3SRN |
| 4 | Mon | Architectures: GPS, SOAR, Subsumption, Society of Mind, slides | 4SRN |
| 6 | Wed | Quiz 3 | - |
| 8 | Fri | Probability review, slides | 4 |
| 11 | Mon | Holiday: Veteran's day | - |
| 13 | Wed | Probabilistic inference: Bayes | 4 |
| 15 | Fri | Right-now: Dr. Gill Pratt, Toyota Research Institute | 4SRN |
| 18 | Mon | Boosting notes, Winston and Ortiz boosting notes, Shapire boosting paper | 4 |
