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	Simultaneous inference	KNNL Ch4.1-4.3
Fri, Oct 3	Project proposal
Tue, Oct 7	Weighted regression Bootstrap	KNNL Ch11.1 KNNL Ch11.5
Fri, Oct 10 Associations: multivariate	Inference: Estimation Inference: Multicollinearity	KNNL Ch5-6 KNNL Ch7.6		Proj proposal due
Tue, Oct 14	Inference: Multicollinearity	KNNL Ch7.6
Fri, Oct 17	Categorical predictors	KNNL Ch8
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	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Tue, Nov 11	No class, Veterans day			Proj interim report due
Fri, Nov 14	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Tue, Nov 18 Causality: observational	Block designs Analysis of covariance Causal inference	KNNL Ch21-22 Ref Ch 7,10,11
Fri, Nov 21	Causal inference with case study	Ref Ch 1,2,4,7	Hw4 out
Tue, Nov 25	Causal inference
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