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README.md

Statistics for Decision Science

Note that this schedule is preliminary and subject to change as we progress through the semester.

Lecture Date Content Evaluation
1 8/19/19 First Class Syllabus, Broad Introduction to class details
Topic 1: Basic R
2 8/21/19 Basic R (I): Introduction to R and R Studio Part I Quiz 1
3 8/26/19 Basic R (II): Introduction to R and R Studio Part II 1. Quiz 2; Complete Datacamp course, except "Factor";
4 8/28/19 Basic R (III): Introduction to R and R Studio Part II
5 9/2/19 Labor Day
6 9/4/19 Basic R (IV): Introduction to R and R Markdown Part III PS1 (PDF); PS1 (R Markdown); PS1 More examples (R Markdown)
Topic 2: What do we do? Statistics and Forecasting/Prediction
7 9/9/19 Statistics & Forecasting/Prediction (I): Introduction to Statistics and Forecasting Part I
8 9/11/19 Statistics & Forecasting/Prediction (II) Introduction to Forecasting Part 2 Quiz 3
9 9/16/19 Statistics & Forecasting/Prediction (II) Time Series (Various Features) details
10 9/18/19 Statistics & Forecasting/Prediction (IV) Naïve Decomposition and Forecasting Methods details Quiz4 and PS2; PS2 (R Markdown)
Topic 3: Basic Probability Theory
11 9/23/19 **Brief History and Basic Probability Theory (I) ** details
12 9/25/19 **Brief History and Basic Probability Theory (II) ** details Quiz5 and PS3
Topic 4: Probability and Distribution: Discrete Variables
13 9/30/19 Probability and Distribution Functions (I): Discrete Variables and Classification details
14 10/2/19 Probability and Distribution Functions (II): Discrete Variables and Classification details Quiz 6
15 10/7/19 Probability and Distribution Functions (III): Discrete Variable and Text Minining details PS4
Topic 5: Probability and Distribution: Continuous Variables
16 10/9/19 Probability and Distribution Functions (IV): Continuous Variables and Financial Risks details Quiz 7
17 10/14/19 Probability and Distribution Functions (V): Continuous Variables details
18 10/16/19 Midterm
19 10/21/19 Probability and Distribution Functions (VI): Financial Risks details
20 10/23/19 Parts of Distributions (I): Mean or Expected Value (Definition, Sample Estimates, Applications and Misapplications) details Quiz 8 and PS5
21 10/28/19 Parts of Distributions (II): Mean or Expected Value (Definition, Sample Estimates, Applications and Misapplications) details
22 10/30/19 Parts of Distributions (III): Which one to focus on? Loss and Risk Functions; Mean and Everything else (distribution and moments) details
23 11/4/19 Parts of Distributions (IV): Applications of moments and distribution details Quiz 9
Topic 6: Computational Statistics and Parametric Distributions
24 11/6/19 Computational Statistics I: Monte Carlo Simulation details Quiz 10
25 11/11/19 Parametric Distribution and Monte Carlo Simulation: Discrete, Binomial Distribution details
26 11/13/19 Parametric Distributions: Uniform and Normal Distributions details PS 6
27 11/18/19 Parametric Distributions: Continuous details
28 11/20/19 Computational Statistics II: Bootstrap (Optional)
Topic 7: Hypothesis Testing
29 11/25/19 Hypothesis Testing: Introduction details
30 11/27/19 Thanksgiving
31 12/2/19 Hypothesis Testing details Quiz 11; PS 7
32 12/4/19 Hypothesis Testing: Introduction and Test of Mean examples
12/10/2019 Final
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