Syllabus
This syllabus is still under development and is subject to change.
Week | Lecture | Date | Topic | Lab | Discussion | Homework |
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1 | 1 | 8/29/19 |
Course Overview, Making Decisions Under Uncertainty [slides]In this lecture we provide an overview of data science and where it might head in the future. We discuss the importance of decision making rather than simple inference. As a first step in this direction we cover the different angles through which a simple hypothesis test can be viewed.
Readings
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2 | 2 | 9/3/19 |
Review of Frequentist and Bayesian Decision-Making [slides]In this lecture we continue investigating the intricacies that arise when running a simple hypothesis test. We look at the difference between the frequentist and the Bayesian view of hypothesis testing. We further develop these ideas by introducing a decision-theoretic framework. Using this framework we can mathematically define both Bayesian and frequentist decision rules.
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3 | 9/5/19 |
False Discovery Rate Control [slides]In this lecture we continue developing our decision-theoretic framework. In particular we consider properties of the risk of various loss functions. The main portion of the lecture is dedicated to false discovery rate control. We look at two ideas that go beyond basic hypothesis testing. We consider the Bonferroni test which is a naive way of controlling the family-wise error rate. We then look into Benjamini-Hochberg which is a more elaborate method that controls the false discovery rate.
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3 | 4 | 9/10/19 |
Online FDR I [slides]
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5 | 9/12/19 |
Online FDR II & Permutation Testing [slides]
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4 | 6 | 9/17/19 |
Probability Interpretation of Linear Models [slides]
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7 | 9/19/19 |
Probability Interpretation of Logistic Models [slides]
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5 | 8 | 9/24/19 |
Bayesian Hierarchical Models I
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9 | 9/26/19 |
Bayesian Hierarchical Models II
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6 | 10 | 10/1/19 |
Gibbs Sampling and Importance Sampling
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11 | 10/3/19 |
Intervals for Estimation (Confidence and Credible) [slides]
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7 | 12 | 10/8/19 |
Confidence Intervals from Chernoff/Hoeffding
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13 | 10/10/19 |
Lecture Cancelled
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8 | 14 | 10/15/19 |
Causal Inference I
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15 | 10/17/19 |
Midterm
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9 | 16 | 10/22/19 |
Causal Inference II
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17 | 10/24/19 |
Rudiments of Experimental Design [slides]
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10 | 18 | 10/29/19 |
Bandits I [slides]
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19 | 10/31/19 |
Bandits II
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11 | 20 | 11/5/19 |
Control I [slides]
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21 | 11/7/19 |
Control II
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12 | 22 | 11/12/19 |
Matching Markets [slides]
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23 | 11/14/19 |
Nonparametric Methods I [slides]
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13 | 24 | 11/19/19 |
Nonparametric Methods II
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25 | 11/21/19 |
Privacy I [slides]
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14 | 26 | 11/26/19 |
Privacy II [slides]
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27 | 11/28/19 |
Thanksgiving
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15 | 28 | 12/3/19 |
Real-World Consequences of Decisions
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29 | 12/5/19 |
Communication: Presenting Results and Conclusions [slides]
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16 | 30 | 12/10/19 |
RRR week
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31 | 12/12/19 |
RRR week
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17 | 32 | 12/17/19 |
Final Exam
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33 | 12/19/19 |
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