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	Read	Slides	Extra	Exercises	Quiz
1	2/9	Introduction, descriptive statistics and stochastic variables	(1.1), 1.3, 1.4, 2.1, 2.2 (skip: 2.2.1, example 2.15, and example 2.19), 2.4	Slides1da		E1.5, E1.2, E1.6, E2.18, exercises from slides 66,69,80 and 82, Solutions	TestQuiz1
2	9/9	Python for statistics and discrete probability distributions	1.5, 1.6, 2.3, 2.2.1, example 2.15, example 2.19, Appendix A1 and A2	Slides2da	descriptive_statistics.ipynb studentheights.csv first_simulation_in_python.ipynb binomial_distribution.ipynb	E1.3 (question a-e WITH Python), E2.2, E2.4, E2.6, E2.7, E2.8, E2.1, E1.4, Solutions	TestQuiz2
3	16/9	Continous probability distributions, linear combinations and multivariate stochastic variables	2.5, 2.6, 2.7, 2.8, 2.9, (2.10)	Slides3da	simulation_normal.ipynb	E2.9, E2.10, E2.11, E2.12, E2.13, Solutions	TestQuiz3
4	23/9	Confidence Intervals	Sec. 3.1.1-3.1.6	Slides4da	simulation_normal_sample.ipynb CLT_in_action.ipynb exam_q12_2016.ipynb	E3.2, E3.11 Solutions	TestQuiz4
5	30/9	Hypothesis Testing	Sec. 3.1.7-3.1.9	Slides5da	simulation_and_qqplot.ipynb voltage_drop.ipynb calorie_intake.ipynb	E3.4, E3.12 Solutions	TestQuiz5
6	7/10	Analysis of Two Samples	Sec. 3.2-3.3			E3.5, E3.6, E3.7, E3.8, E3.9, Solution	TestQuiz6
7	21/10	Simulation Methods	All changes may come			TBA	TestQuiz7
8	28/10	Simple Linear Regression	All (Except Section 5.2.1 and 5.5,and you may skip the proofs) changes may come			TBA	TestQuiz8
9	4/11	Multiple Linear Regression	Sec. 6.1-6.6 changes may come			TBA	TestQuiz9
10	11/11	Categorical and Count Data	All changes may come			TBA	TestQuiz10
11	18/11	Grouped Data (one-way ANOVA)	Sec. 8.1-8.2 changes may come			TBA	TestQuiz11
12	25/11	Grouped Data (two-way ANOVA)	Sec. 8.3-8.4 changes may come			TBA	TestQuiz12
13	2/12	Summary	All placeholderplaceholderplaceholer			PreviousExams	TestQuiz13