Below is the schedule from fall 2013, which was the last time that the course was taught using a standard lecture-based format. This schedule has been edited to make it easier for those viewing the videos now after the course ended.

Click here to see the schedule from fall 2015 when the course was taught using a blended-learning format.

Class Date Day Activities
1 8/26 Monday Syllabus, Website, R Introduction, Day #1 quiz, video (skip R introduction starting at 47:11)
2 8/28 Wednesday R Introduction (part 1, part 2) videos from my YouTube channel
  9/2 Monday Labor Day
3 9/4 Wednesday Matrix algebra, video, in-class discussion video (unavailable)
4 9/9 Monday Data-distributions-correlation, video
5 9/11 Wednesday Data-distributions-correlation, video
6 9/16 Monday Data-distributions-correlation, review, video
7 9/18 Wednesday Test #1
8 9/23 Monday Graphics, video
9 9/25 Wednesday Graphics, video
10 9/30 Monday Graphics, project #1, groups sign up sheet, video
11 10/2 Wednesday Graphics, principal component analysis, video
12 10/7 Monday Principal component analysis, video
13 10/9 Wednesday Principal component analysis, factor analysis, video
14 10/14 Monday Factor analysis, project #1 due at noon on 10/15, video
15 10/16 Wednesday Factor analysis, project #2, video
  10/21 Monday Fall break
16 10/23 Wednesday Factor analysis, cluster analysis, review, video
17 10/28 Monday Test #2
18 10/30 Wednesday Cluster analysis, video (please watch this video in lieu of our regular class)
19 11/4 Monday Cluster analysis, video (recorded on 10/29/14 due to technical difficulties in 2013)
20 11/6 Wednesday Cluster analysis, discriminant analysis, project #2 due on Thursday at noon, video
21 11/11 Monday Discriminant analysis, project #3, video
22 11/13 Wednesday Discriminant analysis, video
23 11/18 Monday Discriminant analysis, nearest neighbor analysis, video
24 11/20 Wednesday Nearest neighbor analysis, logistic regression models for classification, evaluations, video
25 11/25 Monday Logistic regression models for classification, project #3 due Tuesday at noon, video
  11/27 Wednesday Thanksgiving
26 12/2 Monday Logistic regression models for classification, review, video
27 12/4 Wednesday Test #3
28 12/9 Monday Multinomial regression models for classification, video
29 12/11 Wednesday Multinomial regression models for classification, testing means, random forests, review, video
30 12/17 Tuesday Final exam at 10AM