Statistical Methods for Computer Science, Fall 2026

Schedule is updated dynamically throughout the semester

DATE	TOPIC	READING	OUT	DUE
Fri, Sep 11 Associations: univariate	Point estimation	KNNL Ch1-2 Points of significance
Tue, Sep 15	Sampling distribution	KNNL Ch1-2	Hw1 out
Fri, Sep 18	Inference: Interval estimation	KNNL Ch2 Points of significance
Tue, Sep 22	Inference: Hypothesis testing Statistical power Sample size estimation	KNNL Ch2 Points of significance Nature Methods
Fri, Sep 25	Inference: Hypothesis testing Statistical power Sample size estimation			Proj groups due
Tue, Sep 29	Inference: Prediction	Points of significance KNNL Ch2.5-2.6
Fri, Oct 2	Correlation model	KNNL Ch2.11	Hw2 out
Tue, Oct 6	Simultaneous inference	KNNL Ch4.1-4.3
Fri, Oct 9	Project proposal
Tue, Oct 13	Weighted regression Bootstrap	KNNL Ch11.1 KNNL Ch11.5
Fri, Oct 16 Associations: multivariate	Inference: Estimation Inference: Multicollinearity	KNNL Ch5-6 KNNL Ch7.6		Proj proposal due
Tue, Oct 20	Inference: Multicollinearity	KNNL Ch7.6
Fri, Oct 23	Categorical predictors	KNNL Ch8
Tue, Oct 27	Midterm exam
Fri, Oct 30 Causality: designed	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19	Hw3 out
Tue, Nov 3	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Fri, Nov 6	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Tue, Nov 10	Project interim report
Fri, Nov 13	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Tue, Nov 17	1- and 2-factor ANOVA	KNNL Ch15-17, Ch19
Fri, Nov 20 Causality: observational	Block designs Analysis of covariance Causal inference	KNNL Ch21-22 Ref Ch 7,10,11
Tue, Nov 24	Causal inference with case study	Ref Ch 1,2,4,7
Fri, Nov 27	No class, Thanksgiving break
Tue, Dec 1	Causal inference	Hw4 out
Fri, Dec 4
Tue, Dec 8	Final exam
Fri, Dec 11	Project presentation
Mon, Dec 14				Proj report due
Wed, Dec 16				Proj review due