Agendas

Generic weekly agenda

1. Before each lecture: Read the pages announced below in the book (1-3 hours).
2. Attend/follow the weekly lecture - either live (Tuesday 8-10) or by watching the podcast (be aware that podcast recordings were made using the programming language R instead of Python) (2 hours).
3. Attend the exercise classes (Tuesday 10-12). Complete the exercises listed below (click on the link, e.g., E1.1 links to Chapter 1, Exercise 1) (2 hours).
4. Afterwards: Test yourself using the online test quizzes (typical exam questions, takes around 1-2 hours).

No	Date	Topic	Book	Read	Slides	Extra	Exercises	Quiz
1	3/9	Introduction and R	Chap1	All	Slides1da Slides1en	Novotalk Week1_python.ipynb studentheights.csv	E1.1, E1.2, E1.3, Quiz1, E1.4, Find solutions here	TestQuiz1
2	10/9	Probability I	Chap2	Sec. 2.1-2.3	Slides2da Slides2en	Week2_python.ipynb	E2.1, E2.4, E2.5, E2.7, E2.8, Quiz2, Find solutions here	TestQuiz2
3	17/9	Probability II	Chap2	Sec. 2.4-2.8	Slides3da Slides3en	Week3_python.ipynb	E2.9, E2.10, E2.11, E2.12, E2.13, Quiz3, Find solutions here	TestQuiz3/
4	24/9	Confidence Intervals	Chap3	Sec. 3.1.1-3.1.6 and 3.1.9	Slides4da Slides4en	Week4_python.ipynb	E3.1, E3.2, Quiz4, Find solutions here	TestQuiz4
5	1/10	Hypothesis Testing	Chap3	Sec. 3.1.7-3.1.9	Slides5da Slides5en	Week5_python.ipynb	E3.3, E3.4, Quiz5, Find solutions here	TestQuiz5
6	8/10	Analysis of Two Samples	Chap3	Sec. 3.2-3.3	Slides6da Slides6en	Week6_python.ipynb	E3.5, E3.6, E3.7, E3.8, E3.9, E3.10, Quiz6, Find solutions here	TestQuiz6
7	22/10	Simulation Methods	Chap4	All (Sec. 4.4 is optional)	Slides7da Slides7en	Week7_python.ipynb	E4.1, E4.2, E4.3, E4.4, E4.5, Quiz7, Find solutions here	TestQuiz7
8	29/10	Simple Linear Regression	Chap5	All (Except Section 5.2.1 and 5.5,and you may skip the proofs)	Slides8da Slides8en	Week8_python.ipynb	E5.1,E5.2,E5.3,E5.4,E5.5,E5.6, Find solutions here	TestQuiz8
9	5/11	Multiple Linear Regression	Chap6	Sec. 6.1-6.5	Slides9da Slides9en	Week9_python.ipynb airData treatmentdata	E6.1, E6.2, Find solutions here	TestQuiz9
10	12/11	Categorical and Count Data	[Chap7]	All	Slides10da [Slides10en]	Week10_python.ipynb malformationsdata.txt	E7.1, E7.2, E7.3, E7.4, E7.5, Quiz10, Find solutions here	TestQuiz10
11	19/11	Grouped Data (one-way ANOVA)	[Chap8]	Sec. 8.1-8.2	Slides11da [Slides11en]	Week11_python.ipynb	E8.1, E8.2, E8.3, E8.4, Quiz11, Find solutions here	TestQuiz11
12	26/11	Grouped Data (two-way ANOVA)	[Chap8]	Sec. 8.3-8.4	Slides12da [Slides12en]	Week12_python.ipynb anova_exam_questions.ipynb	E8.5, E8.6, E8.7, E8.8, Quiz12, Find solutions here	TestQuiz12
13	3/12	Summary	Book	All	Summary Slides (DA)	exam_02402_may_2024.ipynb slides_distributions_python	PreviousExams	TestQuiz13