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 (Tuesdays, Spring:13-15, Fall: 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 (Tuesdays, Spring:15-17, Fall: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	Read	Slides	Extra	Exercises	Quiz
1	3/2	Introduction: Descriptive statistics and Python	Chap1, Appendix A1	Slides1en Spring 2026 Slides1da Fall2025	Novotalk week1_python.ipynb studentheights.csv	E1.1, E1.2,E1.3,E1.5,E1.6,E1.4 Solutions	kahoot1
2	10/2	Discrete probability distributions	Book 2.1, 2.2, 2.3 Example 2.15, 2.19, Appendix A2 and A2.1 (Discrete probability distributions)	Slides2en Slides2da	Week2_python.ipynb	E2.1,E2.2,E2.4,E2.5,E2.6,E2.7,E2.8, Solutions	kahoot2
3	17/2	Continous probability distributions, linear combinations and multivariate stochastic variables	2.5, 2.6, 2.7, 2.8, 2.9, (2.10)	Slides3en Slides3da	Week3_python.ipynb	E2.9, E2.10, E2.11, E2.12, E2.13, Solutions	kahoot3
4	24/2	Confidence Intervals	Sec. 3.1.1-3.1.6	Slides4en Slides4da	Week4_python.ipynb	E3.1,E3.2, E3.11 Solutions	kahoot4
5	3/3	Hypothesis Testing	Sec. 3.1.7-3.1.9	Slides5en Slides5da	Week5_python.ipynb	E3.4, E3.12 Solutions	kahoot5
6	10/3	Analysis of Two Samples	Sec. 3.2-3.3	Slides6en Slides6da	Week6_python.ipynb	E3.5, E3.6, E3.7, E3.8, E3.9, E3.10, Solutions	kahoot6
7	17/3	Simulation Methods	Sec 4.1	Slides7en Slides7da	Week7_python.ipynb	E4.1,E4.5,E4.6 Solutions	kahoot7
8	24/3	Simple Linear Regression	Chapter 5 (you may skip the proofs)	Slides8da	simple_linear_regression.ipynb	E5.1,E5.2,E5.6,E5.7 Solutions Project2 (a)	kahoot8
9	7/4	Multiple Linear Regression	Chapter 6	Slides9da	multiple_linear_regression.ipynb treatmentdata	E6.1, E6.2 Solutions Project2 (b,c,d,e,f,g,h)	kahoot9
10	14/4	Grouped Data (one-way ANOVA)	Sec. 8.1-8.2	Slides10da	ANOVA_1.ipynb	E8.1, E8.2, E8.3, E8.4	kahoot10
11	21/4	Grouped Data (two-way ANOVA)	Sec. 8.3-8.4	Slides11da	ANOVA_2.ipynb	E8.5, E8.6, E8.7, E8.8 Solutions	kahoot11
12	28/4	Categorical and Count Data	Chapter 7	Slides12da	proportions.ipynb	E7.1, E7.2, E7.3, E7.4, E7.5 Solutions	kahoot12
13	5/5	Last part of Count data + Information about exam	All placeholderplaceholderplaceholer			PreviousExams	[kahoot13]

[Kahoot13]: