Statistical Methods for Computer Science, Fall 2021

Schedule is updated dynamically throughout the semester

DATE	TOPIC	READING	OUT	DUE
Fri, Sep 10	Point estimation	KNNL Ch1-2 Points of significance
Tue, Sep 14	Sampling distribution	KNNL Ch1-2	Hw1 out
Fri, Sep 17	Inference: Interval estimation	KNNL Ch 2 Points of significance
Tue, Sep 21	Inference: Hypothesis testing Statistical power	KNNL Ch2 Points of significance NMethods
Fri, Sep 24	Inference: Sample size Prediction	KNNL Ch2 Points of significance
Tue, Sep 28	Topics in regression: General linear tests Regression vs correlation	KNNL Ch2, 3.7		Hw1 due
Fri, Oct 1	Simultaneous inference	KNNL Ch4	Hw2 out
Tue, Oct 5	Topics in regression: Multiple regression	KNNL Ch5-6
Fri, Oct 8	Topics in regression: Partial correlation Multicollinearity	KNNL Ch7
Tue, Oct 12	Topics in regression: Categorical predictors	KNNL Ch8
Fri, Oct 15	Exam prep			Hw2 due Proj groups due
Tue, Oct 19	Midterm exam
Fri, Oct 22	Bootstrap	KNNL 11.5
Tue, Oct 26	Designed experiments: 1-factor ANOVA	KNNL Ch15-18
Fri, Oct 28	Designed experiments: 1-factor ANOVA	KNNL Ch15-182
Tue, Nov 2	Project pitches		Hw3 out
Fri, Nov 5	Designed experiments: 2-factor ANOVA	KNNL Ch19
Tue, Nov 9	Designed experiments: 2-factor ANOVA	KNNL Ch19		Proj proposals due
Fri, Nov 12	Block designs	KNNL Ch21-22
Tue, Nov 16	Analysis of covariance, mixed models	KNNL Ch25 Faraway Ch8 Rao Ch14
Fri, Nov 19	Analysis of covariance, mixed models			Hw3 due Sun Nov 21
Tue, Nov 23	Causal inference	Ref Ch 1,2,4,7	Hw4 out
Fri, Nov 26	Thanksgiving break
Tue, Nov 30	Causal inference	Ref Ch 7, 10, 11
Fri, Dec 3	Exam prep, no class			Hw4 due
Tue, Dec 7	Final exam
Fri, Dec 10	Project presentations
Mon, Dec 13				Project reports due
Wed, Dec 15				Project reviews due