Statistical Methods for Computer Science, Fall 2022

Schedule is updated dynamically throughout the semester

DATE	TOPIC	READING	OUT	DUE
Fri, Sep 9	Point estimation	KNNL Ch1-2 Points of significance	Hw1 out
Tue, Sep 13	Sampling distribution	KNNL Ch1-2
Fri, Sep 16	Inference: Interval estimation	KNNL Ch 2 Points of significance
Tue, Sep 20	Inference: Hypothesis testing Statistical power	KNNL Ch2 Points of significance NMethods
Fri, Sep 23	Inference: Sample size Prediction	KNNL Ch2 Points of significance
Tue, Sep 27	Topics in regression: General linear tests Regression vs correlation	KNNL Ch2, 3.7		Hw1 due
Fri, Sep 30	Simultaneous inference	KNNL Ch4
Tue, Oct 4	Topics in regression: Multiple regression	KNNL Ch5-6	Hw2 out
Fri, Oct 7	Topics in regression: Partial correlation Multicollinearity	KNNL Ch7
Tue, Oct 11	Topics in regression: Categorical predictors	KNNL Ch8
Fri, Oct 14	Exam prep			Hw2 due Proj groups due
Tue, Oct 18	Midterm exam
Fri, Oct 21	Weighted regression and bootstrap	KNNL Ch11
Tue, Oct 25	Designed experiments: 1-factor ANOVA	KNNL Ch15-18	Hw3 out
Fri, Oct 28	No class Project pitches prep
Tue, Nov 1	Project pitches
Fri, Nov 4	Designed experiments: 2-factor ANOVA	KNNL Ch19
Tue, Nov 8	Designed experiments: 2-factor ANOVA	KNNL Ch19		Proj proposals due
Fri, Nov 11	Veteran’s day, no class
Tue, Nov 15	Block designs	KNNL Ch21-22
Fri, Nov 18	Logistic regression	KNNL Ch14	Hw4 out	Hw3 due
Tue, Nov 22	Logistic regression	KNNL Ch14
Fri, Nov 24	Thanksgiving break
Tue, Nov 29	Logistic regression wrap-up
Fri, Dec 2	Exam prep			Hw4 due Dec 4
Tue, Dec 6	Final exam
Fri, Dec 9	Project presentations
Mon, Dec 12				Project reports due
Wed, Dec 14				Project reviews due