week	date	session	topic	reading	slides	code	assessment	other
0	2-Jan		Getting Ready for STATS 115
1	5-Jan	Lec	Introduction to STATS Introduction to STATS 115 and Bayesian Statistics7 and Data
1	7-Jan	Lec	Bayes’ Rule for Events
1	7-Jan	Dis	Posterior Simulation for Events
1	12-Jan	Hw	Bayes’ Rule for Events
2	12-Jan	Lec	Bayes’ Rule for Random Variables
2	14-Jan	Lec	Beta Binomial Model
2	14-Jan	Dis	Beta Binomial Model
2	21-Jan	Hw	Bayes’ Rule for Random Variables and Beta Binomial Model
3	19-Jan	Lec	No Class, Martin Luther King, Jr. Day
3	21-Jan	Lec	Balance and Sequentiality
3	21-Jan	Dis	Balance and Sequentiality
3	26-Jan	Hw	Balance and Sequentiality
4	26-Jan	Lec	Gamma-Poisson Model
4	28-Jan	Lec	Normal-Normal Model
4	28-Jan	Dis	Conjugate Families
4	2-Feb	Hw	Conjugate Families
5	2-Feb	Lec	Posterior Approximation
5	4-Feb	Lec	MCMC Under the Hood
5	4-Feb	Dis	Grid Approcimation and Metropolis-Hastings
6	9-Feb	Lec	Posterior Inference and Prediction
6	11-Feb	Lec	Midterm in class
6	11-Feb	Dis	Solutions to midterm
6	16-Feb	Hw	Posterior Inference and Prediction
7	16-Feb	Lec	No Class, Presidents’ Day
7	18-Feb	Lec	Simple Normal Regression
7	18-Feb	Dis	Simple Normal Regression
7	23-Jan	Hw	Simple Normal Regression
8	23-Feb	Lec	Evaluating Regression Models
8	25-Feb	Lec	Extending the Normal Regression
8	25-Feb	Dis	Beyond Simple Regression
8	2-Mar	Hw	Beyond Simple Regression
9	2-Mar	Lec	Logistic Regression
9	4-Mar	Lec	Hierarchical Models with No Predictors
9	4-Mar	Dis	Logistic Regression
9	9-Mar	Hw	Hierarchical Models with No Predictors
10	9-Mar	Lec	Hierarchical Models with Predictors
10	11-Mar	Lec	Hierarchical Models with Predictors
10	11-Mar	Dis	Hands-on Project