| Mondays | Time | Lecture Hall |
|---|---|---|
| Theory 1 | 14:15-15:15 | Jur / Hörsaal K |
| Q/A & Coffee Break | 15:15-15:30 | Jur / Hörsaal K |
| Theory 2 | 15:30-16:30 | Jur / Hörsaal K |
| Q/A & Coffee Break | 16:30-17:00 | Jur / Hörsaal K |
| Practice | 17:00-18:00 | Jur / Hörsaal K |
Computer-Aided Statistical Analysis (B.Sc.)
Organization of the Course
Timetable
Monday afternoon is computational-statistics-afternoon. We’ll have both theory and practice sessions and a couple of breaks in between.
Lecture Material and Literature
- Main Course Textbook (
ISLR):- An Introduction to Statistical Learning, by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
- The PDF-version and further resources (datasets, etc.) of the textbook can be downloaded for free from https://www.statlearning.com/
- This online script
- To-Do List for October 9, 2023: To-Do List (PDF)
The above links to the lecture materials can also be found at eCampus
Information on the Exam
- You are allowed to use a handwritten cheat-sheet (one side of a DIN A4 page).
- You are allowed to use a non-programmable scientific calculator.
- Please, do not use a pencil.
- Exam dates and times are published by the examinations office
- First page of the exam (containing the exam instructions): Download