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, Quiz1, 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
  descriptive_statistics.ipynb
first_simulation_in_python.ipynb
E1.3 (question a-e WITH Python), E2.2, E2.4, E2.6, E2.7, E2.8, E2.1, E1.4, Quiz2 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)   simulation_normal.ipynb
exponential_distribution.ipynb
TBA TestQuiz3/
4 23/9 Confidence Intervals Sec. 3.1.1-3.1.6 and 3.1.9     TBA TestQuiz4
5 30/9 Hypothesis Testing Sec. 3.1.7-3.1.9     TBA TestQuiz5
6 7/10 Analysis of Two Samples Sec. 3.2-3.3     TBA TestQuiz6
7 21/10 Simulation Methods All (Sec. 4.4 is optional)     TBA TestQuiz7
8 28/10 Simple Linear Regression All (Except Section 5.2.1 and 5.5,and you may skip the proofs)     TBA TestQuiz8
9 4/11 Multiple Linear Regression Sec. 6.1-6.5     TBA TestQuiz9
10 11/11 Categorical and Count Data All     TBA TestQuiz10
11 18/11 Grouped Data
(one-way ANOVA)
Sec. 8.1-8.2     TBA TestQuiz11
12 25/11 Grouped Data
(two-way ANOVA)
Sec. 8.3-8.4   TBA TestQuiz12
13 2/12 Summary All
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  PreviousExams TestQuiz13