Course schedule

8/26: Introductions, syllabus, talking about chatGPT. Talk through the consulting skeleton. Go through short example project (initial meeting + analysis plan + implementation). Project 1 initial client meeting (David). Project 1 data.

9/2: Project 1 analysis/coding (David) + Project 2/3 initial client meeting (Nandha + Woodrow). Project 2 data, Project 3 data.

9/9: Project 2/3 analysis/coding (Nandha + Woodrow) + Project 4/5 initial client meeting (Ryan + Anish). Project 4 data 1 2 3, Project 5 data.

9/16: Project 4/5 analysis/coding (Ryan + Anish) + Project 6 initial client meeting (Ambuj). Project 6 data 1 2.

9/23: Project 6 analysis/coding (Ambuj) + Project 7 initial client meeting (Jess) Project 7 data paper.

9/30: Project 7 analysis/coding (Jess) + Project 8 initial client meeting (Inwoo). Project 8 data 1 2 R script.

10/7: Project 8 analysis/coding (Inwoo) + Project 9 initial client meeting (Yijia). Project 9 data.

10/14: Project 9 analysis/coding (Yijia) + Project 10 initial client meeting (Gehna) data.

10/21: Project 10 analysis/coding (Gehna) + Project 11 initial client meeting (Jinglong) data, study description, survey questions.

10/28: Project 11 analysis/coding (Jinglong) + Project 12 initial client meeting (Da Eun) data.

11/4: Project 12 analysis/coding (Da Eun) + Project 13 initial client meeting (Derek) data data source.

11/11: Project 13 analysis/coding (Derek) + Project 14 initial client meeting (Nasheed). Data at the “S1 data” link here.

11/18: Project 14 analysis/coding (Nasheed) + Reproducibility mini lecture. Reading and supplemental reading. Some notes. Gwern example.

12/2: Final presentations

12/9: Final presentations