Tentative schedule:

Below is a tentative schedule for the course (PS: Problem set, L: Lab, PE: Peer evaluation, and PR: Project, RA: Readiness assessment).

Links to slides and assignments will be updated prior to each unit. Additional resources (learning objectives, videos, etc.) for each unit under the resources tab.

Unit Date Topic Lab Due
15-May Introduction Lab 0 - Intro for R and RStudio - [Video]
Unit 1 - Introduction to data 16-May Data collection, observational studies, and experiments RA 1 (practice)
17-May Exploratory data analysis Lab 1
18-May PS 1
19-May Lab 1
20-May Introduction to inference, via simulation
Unit 2 - Probability and Distributions 21-May Probability and conditional probability RA 2, PA 1
22-May Bayesian inference Lab 2
23-May Normal & Binomial distributions PS 2
Unit 3 - Framework for inference 24-May Sampling distributions and CLT RA 3, PA 2
25-May Lab 2
26-May PS 3
27-May No class - Memorial Day
28-May Confidence intervals and hypothesis tests Lab 3
29-May Decision errors, significance levels, sample size PS 4, Lab 3
30-May Review / synthesis PA 3
MT - Practice Problems
MT - Spring 2013
MT - Spring 2013 - Key
31-May MIDTERM (1 - 2:30pm EST)
1-June Extra OH - For project related questions (12pm - 1pm EST)
2-June
Unit 4 - Inference for numerical variables 3-June Bootstrapping and paired means RA 4
4-June Comparing two means Lab 4
5-June t-distribution & t-tests for means PS 5
6-June ANOVA
7-June ANOVA (cont.) Lab 5 PA 4
8-June Extra OH - For project related questions (1:30pm - 2:30pm EST) PS 6, Lab 5
9-June Project proposal
Unit 5 - Inference for categorical variables 10-June Inference for proportions - theoretical
11-June Inference for proportions - simulation RA 5
12-June Chi-square tests PS 7
13-June Review of inference for categorical variables Lab 6
14-June No class
15-June PA 5
16-June PS 8
Unit 6 - Simple linear regression 17-June Introduction to SLR RA 6, Lab 6
18-June SLR with categorical predictor, outliers and inference Project
19-June Review SLR Lab 7
Unit 7 - Multiple linear regression 20-June Intro to MLR RA 7, PA 6
21-June Inference for MLR and model selection Lab 8 Lab 7
22-June PA 7, PS 9
23-June Lab 8
24-June Review / synthesis PS 10
MT2 - S12
MT2 - S12 - Key
Final Review
Final Review - Key
25-June No class - Reading period
26-June FINAL (12 - 3pm EST)