Statistical Methods for Computer Science, Fall 2025

Schedule is updated dynamically throughout the semester

DATE	TOPIC	READING	OUT	DUE
Fri, Sep 5 Associations: univariate	Point estimation	KNNL Ch1-2 Points of significance
Tue, Sep 9	Sampling distribution	KNNL Ch1-2	Hw1 out
Fri, Sep 12	Inference: Interval estimation	KNNL Ch2 Points of significance
Tue, Sep 16	Inference: Hypothesis testing Statistical power Sample size estimation	KNNL Ch2 Points of significance Nature Methods
Fri, Sep 19	Inference: Hypothesis testing Statistical power Sample size estimation			Proj groups due
Tue, Sep 23	Inference: Prediction	Points of significance KNNL Ch2.5-2.6
Fri, Sep 26	Correlation model	KNNL Ch2.11	Hw2 out
Tue, Sep 30	Weighted regression	KNNL Ch11.1
Fri, Oct 3	Project proposal
Tue, Oct 7	Bootstrap Simultaneous inference	KNNL Ch11.5 KNNL Ch4.1-4.3
Fri, Oct 10 Associations: multivariate	Inference: Estimation Inference: Multicollinearity	KNNL Ch5-6 KNNL Ch7.6		Proj proposal due
Tue, Oct 14	Categorical predictors	KNNL Ch8
Fri, Oct 17	No class, exam prep (tentative)
Tue, Oct 21	Midterm exam
Fri, Oct 24 Causality: designed	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19	Hw3 out
Tue, Oct 28	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Fri, Oct 31	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Tue, Nov 4	Project interim report
Fri, Nov 7	Block designs Analysis of covariance	KNNL Ch21-22
Tue, Nov 11	No class, Veterans day			Proj interim report due
Fri, Nov 14 Causality: observational	Causal inference	Ref Ch 1,2,4,7	Hw4 out
Tue, Nov 18	Causal inference	Ref Ch 7,10,11
Fri, Nov 21	Causal inference
Tue, Nov 25	No class, exam prep (tentative)
Fri, Nov 28	No class, Thanksgiving break
Tue, Dec 2	Final exam
Fri, Dec 5	Project presentation
Mon, Dec 8				Proj report due
Wed, Dec 10				Proj review due