Week 0

Jan 3 - Jan 7

Getting Ready for STATS 115

		Notes	Links	Due
	Getting to Know the Course Website	Take time go over the contents of this website, especially read the policies section. Do not forget to bookmark stats115.com.
	Introduce Yourself to the Teaching Team	The responses to this “quiz” will not be available to your classmates. The quiz is not timed.		Jan 5, 5 pm
	Get Your Tech Ready	The responses to this “quiz” will help us make sure that you are ready for the first class in terms of your tech needs. The quiz is not timed but it will take about half an hour to an hour to complete all the tasks.		Jan 5, 5:00 pm
	Syllabus Quiz			Jan 5, 5:00 pm

Week 1

Jan 8 - 14

		Notes	Links	Due
	Introduction to STATS 115 and Bayesian Statistics	Welcome!!!
	Reading	Chapter 1
	No discussion session
	Bayes’ Rule for Events
	Reading	Sections 2.1 and 2.2
	Homework 1: Bayes’ Rule			Jan 15, 1:30 pm

Week 2

Jan 15 - 21

		Notes	Links	Due
	NO LECTURE on Monday	due to Martin Luther King, Jr. Day
	Discussion: Simulating Posterior	Section 2.2
	Bayes’ Rule for Random Variables
	Reading	Section 2.3
	Homework 2: Bayes’ Rule for Random Variables			Jan 22, 1:30 pm

Week 3

Jan 22 - 28

		Notes	Links	Due
	The Beta-Binomial Model
	Reading	Chapter 3
	Discussion: See you at the Finish Posterior Line
	Balance and Sequentiality in Bayesian Analyses
	Reading	Chapter 4
	Homework 3: The Beta-Binomial Model, Balance, and Sequentiality			Jan 29, 1:30 pm

Week 4

Jan 29 - Feb 4

		Notes	Links	Due
	The Gamma-Poisson Model
	Reading	Sections 5.1 and 5.2
	Discussion: Exercises from Chapters 4 and 5
	The Normal-Normal Model
	Reading	Sections 5.3, 5.4, and 5.5
	Homework 4: The Conjugate Families			Feb 5, 1:30 pm

Week 5

Feb 5 - 11

		Notes	Links	Due
	Posterior Approximation
	Reading	Chapter 6
	Discussion: Midterm Review
	MCMC Under the Hood
	Reading	Chapter 7
	Midterm Policies
	Formulae Sheet	It will be provided during the exam.
	Midterm	In class		Feb 12, 2:00 pm

Week 6

Feb 12 - 18

		Notes	Links	Due
	Midterm	In class		Feb 12, 2:00 pm
	No Discussion
	Posterior Inference and Prediction
	Reading	Chapter 8
	Homework 6: Posterior Inference and Prediction			Feb 20, 1:30 pm

Week 7

Feb 19 - 25

		Notes	Links	Due
	NO LECTURE on Monday	due to Presidents’ Day		Feb 12, 2:00 pm
	Discussion: Midterm Solutions
	Simple Normal Regression
	Reading	Chapter 9
	Homework 7: Simple Normal Regression			Feb 26, 1:30 pm

Week 8

Feb 26 - Mar 3

		Notes	Links	Due
	Evaluating Regression Models
	Reading	Chapter 10
	Discussion: Regression Models
	Extending the Normal Regression
	Reading	Chapter 11
	Homework 8: Model Evaluation and Extending the Normal Regression	It is longer than usual, start early (opens on Monday)		Mar 4, 1:30 pm

Week 9

Mar 4 - Mar 10

		Notes	Links	Due
	Logistic Regression
	Reading	Chapter 13
	Discussion:Logistic Regression
	Hierarchical Models with No Predictors
	Reading	Chapter 14
	Homework 9: Hierarchical Models with No Predictors			Mar 11, 1:30 pm

Week 10

Mar 11 - Mar 17

		Notes	Links	Due
	Hierarchical Models with Predictors	This will take two lectures
	Reading	Chapter 14
	Discussion: Hands-on work team projects