Statistical Methods for Computer Science, Fall 2023

Schedule is updated dynamically throughout the semester

DATE	TOPIC	READING	OUT	DUE
Fri, Sep 8	Point estimation	KNNL Ch1-2 Points of significance
Tue, Sep 12	Sampling distribution	KNNL Ch1-2	Hw1 out
Fri, Sep 15	Inference: Interval estimation	KNNL Ch 2 Points of significance
Tue, Sep 19	Inference: Hypothesis testing Statistical power	KNNL Ch2 Points of significance NMethods
Fri, Sep 22	Inference: Sample size, prediction	KNNL Ch2 Points of significance
Tue, Sep 26	Inference: Sample size, prediction	KNNL Ch2		Hw1 due
Fri, Sep 29	One-variable regression: General linear tests, lack of fit	KNNL Ch2.7-2.9, 3.7	Hw2 out
Tue, Oct 3	One-variable regression: Regression vs correlation, Multiple testing	KNNL Ch2.11, 4.1-4.3
Fri, Oct 6	Zoom lecture Multiple regression: Multicollinearity	KNNL Ch5-7
Tue, Oct 10	Zoom lecture Multiple regression: Multicollinearity	KNNL Ch5-7
Fri, Oct 13	Zoom discussion Project suggestions			Hw2 due Proj groups due
Tue, Oct 17	Midterm exam
Fri, Oct 20	Proj pitches
Tue, Oct 24	Designed experiments: Categorical predictors 1-factor ANOVA	KNNL Ch8 KNNL Ch15-17
Fri, Oct 27	Designed experiments: 2-factor ANOVA	KNNL Ch19		Proj proposals due
Tue, Oct 31	Designed experiments: 2-factor ANOVA	KNNL Ch19	Hw3 out
Fri, Nov 3	Designed experiments: 2-factor ANOVA	KNNL Ch19
Tue, Nov 7	Block designs Analysis of covariance	KNNL Ch21-22
Fri, Nov 10	No class, Veteran’s day
Tue, Nov 14	Mixed models	KNNL Ch25 Faraway Ch8 Rao Ch14
Fri, Nov 17	Mixed models	KNNL Ch25 Faraway Ch8 Rao Ch14		Hw3 due
Tue, Nov 21	Mixed models	KNNL Ch25 Faraway Ch8 Rao Ch14	Hw4 out
Fri, Nov 24	No class, Thanksgiving break
Tue, Nov 28	Mixed models	KNNL Ch25 Faraway Ch8 Rao Ch14
Fri, Dec 1	Exam prep			Hw4 due Dec 3
Tue, Dec 5	Final exam
Fri, Dec 8	Project presentations
Mon, Dec 11				Project reports due
Wed, Dec 13				Project reviews due