Schedule

Back to Syllabus


Assigned readings should be completed by the end of the week in which they appear in the schedule.


Schedule Lecture Videos Evaluation
Week Date Readings Statistics R Additional Examples Analysis & Discussion Exercises Assessment
1 Jan 13 McElreath (Ch 1) The Golem of Prague (18p)
Chapter Summaries
Lecture 1: The Golem of Prague (50:48) (1) History of R (0:16:07)
(2) R Programming Tutorial (2:10:38): Part 1-Watch through 1:00:24
Discussion Questions Ch1 01-Getting Started
Video: 01-Getting Started (0:11:40)
Solutions
Quiz in Brightspace
2 Jan 20 McElreath (Ch 2) Small worlds and large worlds (21p)
Chapter Summaries
Lecture 2: The Garden of Forking Data (1:37:06)
(1) R Programming Tutorial (2:10:38): Part 2-Watch from 1:00:24 to end
(2) R data types (1) (0:09:26)
(3) 3 R data types (2) (0:09:45)
Discussion Questions Ch 2 02-SmallWorlds_Ch2
Solutions
Chapter Summary('s)
Quiz in BrightSpace
3 Jan 27 McElreath (Ch 3) Sampling the imaginary (23p)
Chapter Summaries
Lecture 3: Geocentric Models (1:14:27)
(1) R data types (3) (0:11:51)
(2) Subsetting part 1 (0:07:01)
Discussion Questions Ch 3 03-Sampling_Ch3
Solutions
Quiz in BrightSpace
4 Feb 3 McElreath (Ch 4 except 4.5.2 is optional) Geocentric Models (55p)
Chapter Summaries
Lecture 4: Categories and Curves (1:24:30)
(1) Subsetting part 2 (0:10:18)
(2) Vectorization (0:03:46)
Alt Explanation of Splines (0:10:58) Discussion Questions Ch 4 04-Geocentric_Ch4
Solutions
Quiz in BrightSpace
5 Feb 10 McElreath (Ch 5) The many variables & the spurious waffles (39p) Lecture 5: Elemental Confounds (1:05:10)
(1) Reading and Writing part 1 (0:12:55)
(2) Reading and Writing part 2 (0:09:30)
Discussion Questions Ch 5 05-ManyVariables_Ch5
Solutions
Quiz in BrightSpace
6 Feb 17 McElreath (Ch 6) The haunted DAG and the causal terror (31p)
Chapter Summaries
Lecture 6: Good & Bad Controls (1:26:28)
(1) Control Structures part 1 (0:07:10)
(2) Control Structures part 2 (0:08:11)
Extra: DAG examples code
Extra: DAG examples video
Discussion Questions Ch 6 06-DAG_Ch6
Solutions
Quiz in BrightSpace
7 Feb 24 McElreath (Ch 7) Ulysses' compass (47p)
McElreath (Ch 8) Conditional manatees (27p)
Lecture 7: Fitting Over & Under (1:04:40) (1) Writing first function (0:10:29)
(2) Functions part 1 (0:09:17)
Extra: Model Selection Code
Extra: Model Selection Video
Discussion Questions Ch 7 & Ch 8 W07_Ch6_Ch7
Quiz in BrightSpace
8 Mar 3 McElreath (Ch 9) Markov Chain Monte Carlo (37p)
Chapter Summaries
Lecture 8: Markov Chain Monte Carlo (1:16:17)
(1) Functions part 2 (0:07:13)
(2) Scoping rules part 1 (0:10:32)
Extra: Posterior Estimation code
Extra: Posterior Estimation video
Extra: Regression video
Extra: Regression code
Discussion Questions Ch 9 W08_MCMC_Ch09
Quiz in BrightSpace
Mar 10 Spring Break
9 Mar 17 McElreath (Ch 10) Big entropy and the generalized linear model (25p)
Lecture 9: Modeling Events (1:32:09)
(1) Scoping rules part 2 (0:08:34)
(2) Scoping rules part 3 (0:09:21)
Code: Metropolis-Hastings
Video: Metropolis-Hastings
Questions Ch 9 Exercise 9
Quiz in BrightSpace
10 Mar 24 McElreath (Ch 11) God spiked the integers (47p) Lecture 10: Counts & Hidden Confounds (1:25:02)
Lecture 11: Ordered Categories (1:29:58)
(1) Coding standards (0:8:59)
(2) Dates and times (0:10:29)
Code: Interactions
Video: Interactions
Discussion Questions Quiz in BrightSpace
11 Mar 31 McElreath (Ch 12) Monsters and mixtures (31p)
Lecture 12: Multilevel Models (1:22:01)
Lecture 13: Multilevel Adventures (0:54:22)
(1) lapply (0:09:23)
(2) apply (0:07:21)
Questions Ch 10 Quiz in BrightSpace
12 Apr 7 McElreath (Ch 13) Models with memory (32p)
Lecture 14: Correlated Features (1:09:56) (1) mapply (0:04:46)
(2) tapply (0:03:17)
(3) split (0:09:09)
Code: Poisson Regression
Video: Poisson Regression
Questions Ch 11 Exercise 11
Quiz in BrightSpace
13 Apr 14 McElreath (Ch 14) Advances in covariance (51p)
Lecture 15: Social Networks (1:12:28)
Lecture 16: Gaussian Processes (1:22:24)
(1) Debugging part 1 (0:12:33)
(2) Debugging part 2 (0:06:25)
(3) Debugging part 3 (0:08:21)
Questions Ch 12 Exercise 12
Quiz in BrightSpace
14 Apr 21 McElreath (Ch 15) Missing Data and Other Opportunities (35p)
Lecture 17: Measurements & Misclassification (1:17:17)
Lecture 18: Missing Data (1:02:28)
(1) str part 2 (0:09:17)
(2) Simulation part 1 (0:07:47)
(3) Simulation part 2 (0:07:02)
Questions Ch 13 Exercise 13 Quiz in BrightSpace
15 Apr 28 McElreath (Ch 16) Generalized Linear Madness (25p)
McElreath (Ch 17) Horoscopes (5p)
Lecture 19: Generalized Linear Madness (1:14:05)
Lecture 20: Horoscopes (1:39:15)
(1) R Profiler part 1 (0:10:39)
(2) R Profiler part 2 (0:10:26)
Quiz in BrightSpace
16 May 11 Final Exam TBD