Instructor: Caleb Roberts

Tentative Schedule

Week Day Date Topic Discussion Discussion
1 Tue Aug. 20 What is “modeling?” ———— ————
Thu Aug. 22 Why are you modeling? Emerson Katy
2 Tue Aug. 27 Data exploration ———— ————
Thu Aug. 29 Data exploration ———— ————
3 Tue Sep. 3 Review of linear models, probability distributions Michael Elizabeth
Thu Sep. 5 Review of linear models, probability distributions ———— ————
4 Tue Sep. 10 No class ———— ————
Thu Sep. 12 No class ———— ————
5 Tue Sep. 17 Model selection Maria ————
Thu Sep. 19 Model selection ———— ————
6 Tue Sep. 24 Autocorrelation Jack ————
Thu Sep. 26 Mixed models: what, why, how? Vini Annika
7 Tue Oct. 1 Mixed models: LMM lab ———— ————
Thu Oct. 3 Mixed models: GLMM Alex ————
8 Tue Oct. 8 Mixed models: GLMM lab ———— ————
Thu Oct. 10 Generalized additive models Carter Paul
9 Tue Oct. 15 No class: Fall Break ———— ————
Thu Oct. 17 Generalized additive models ———— ————
10 Tue Oct. 22 No class ———— ————
Thu Oct. 24 Hierarchical generalized additive models Emily Tristan
11 Tue Oct. 29 Hierarchical generalized additive models ———— ————
Thu Oct. 31 Guest lecture: Brandon Edwards ———— ————
12 Tue Nov. 5 Hello, Bayes! Lindsey Isaac
Thu Nov. 7 Bayesian models: Linear models lab ———— ————
13 Tue Nov. 12 Bayesian models: Stan language lab ———— ————
Thu Nov. 14 Bayesian models: Mixed models lab ———— ————
14 Tue Nov. 19 Loose ends day ———— ————
Thu Nov. 21 Writing methods and results Isabella ————
15 Tue Nov. 26 Writing methods and results ———— ————
Thu Nov. 28 No class: Thanksgiving ———— ————