AY19 MA490 Integrative Experience Course Calendar
Final Results from Modeling Competition - Scores are calculated based on how high your player is selected, the absolute value of the difference of your pick vs actual pick and 16 additional points for getting the round that they were actually selected correct. A breakdown of how your instructor modeled the problem and Class Rankings based on your score and team name are provided.
| Date | Lsn # | Lesson | Reading1 | Reading2 | Reading3 |
| 10-Jan | 1 | Introduction | Ch1(P) Many-Model Thinker (1-12) | Ch2(P) Why Model (13-25) | Ch3(P) The Science of Many Models (27-42) |
| 14-Jan | 2 | Linearity 1 | Intro(E) When Am I Going to Use This (1-18) | Ch1(E) Less Like Sweden (21-30) | Ch4(P) Modeling Human Actors (43-58) |
| 18-Jan | 3 | Optimal Stopping Criteria | Ch1(CG) Optimal Stopping (9-30) | ||
| 23-Jan | 4 | Explore-Exploit | Ch2(CG) Explore/Exploit (31-58) | Ch27(P) Multi-Armed Bandit Problems (319-326) | |
| 25-Jan | 5 | Linearity 2 | Ch2(E) Straight Locally, Curved Globally (31-49) | Ch3(E) Everyone is Obese (50-61) | |
| 29-Jan | 6 | Law of Large Numbers / Percentages | Ch4(E) How Much is that in Dead Americans (62-76) | Ch5(E) More Pie Than Plate (77-85) | |
| 31-Jan | 7 | Linear Models | Ch7(CG) Overfitting (149-168) | Ch7(P) Linear Models (83-93) | Ch8(P) Concavity and Convexity (95-106) |
| 5-Feb | 8 | Distributions / Uncertainty | Ch5(P) Normal Distn: Bell Curve (59-68) | Ch6(P) Power Law Distn (69-81) | Ch12(P) Entropy: Modeling Uncertainty (143-151) |
| 7-Feb | 9 | Wiggle Room & Big Data | Ch6(E) The Baltimore Stockbroker (89-101) | Ch7(E) Dead Fish Don't Read Minds (102-130) | |
| 11-Feb | 10 | Reductio Ad Unlikely | Ch8(E) Reductio Ad Unlikely (131-144) | Ch9(E) The International Journal of Haruspicy (145-162) | |
| 15-Feb | 11 | Bayesian Inference | Ch10(E) Bayesian Inference (163-191) | Ch6(CG) Bayes's Rule (128-148) | |
| 20-Feb | 12 | Expectation | Ch11(E) Expecting to Win the Lottery (195-232) | ||
| 22-Feb | 13 | Decision Theory | Ch12(E) Miss More Planes! (233-252) | Ch9(CG) Randomness (182-204) | |
| 26-Feb | 14 | Hamming Codes | Ch13(E) Where the Train Meets the Track (253-291) | ||
| 28-Feb | 15 | Regression to the Mean / Correlation | Ch14(E) The Triumph of Mediocrity (295-310) | Ch15(E) Galton's Ellipse (311-346) | |
| 5-Mar | 16 | Causation | Ch16(E) Does Lung Cancer Make You Smoke (347-362) | ||
| 7-Mar | 17 | Random Walks | Ch13(P) Random Walks (153-162) | Ch14(P) Path Dependence (163-170) | |
| 19-Mar | 18 | Network Models | Ch10(P) Network Models (117-130) | ||
| 21-Mar | 19 | SIR Models | Ch11(P) Broadcast, Diffusion, and Contagion (131-142) | Ch15(P) Local Interaction Models (171-179) | |
| 25-Mar | 20 | Markov Models | Ch16(P) Lyapunov Functions and Equilibria (181-188) | Ch17(P) Markov Models (189-200) | Ch18(P) System Dynamics Models (201-212) |
| 28-Mar | 21 | Threshold Models | Ch19(P) Threshold Models with Feedbacks (213-225) | Ch20(P) Spatial and Hedonic Choice (227-242) | |
| 1-Apr | 22 | GameTheory | Ch21(P) Game Theory Models Times Three (243-251) | Ch11(CG) GameTheory (230-255) | Ch9(P) Model of Value and Power (107-115) |
| 5-Apr | 23 | Cooperation and Collective Action Models | Ch22(P) Models of Cooperation (253-268) | Ch23(P) Collective Action Problems (269-281) | |
| 9-Apr | 24 | Public Policy Models | Ch17(E) There is No Such Thing as Public Opinion (365-392) | Ch24(P) Mechanism Design (283-296) | Ch26(P) Models of Learning (305-318) |
| 11-Apr | 25 | Sorting | Ch3(CG) Sorting (59-83) | ||
| 15-Apr | 26 | Caching | Ch4(CG) Caching (84-104) | ||
| 19-Apr | 27 | Scheduling | Ch5(CG) Scheduling (105-127) | ||
| 23-Apr | 28 | Class Draft | |||
| 25-Apr | 29 | Class Presentations | |||
| 30-Apr | 30 | Class Presentations |