WiMa-Praktikum II - Stochastics
Albert Rapp, M. Sc.
To register for the course, please write an email to Albert Rapp until the 21st of February 2021. Please state:
- your name,
- your field of study,
- matriculation number,
- programming experience
- and the courses of studies you have taken in the area of statistics and stochastics
The number of participants is limited to 12 students.
Time and Date
TBD, online in moodle.
Weekly student presentations
The students will give a short 20 minute presentation each week (maybe in groups of two or three). The time for those presentations will be determined at the beginning of the semester.
Master Mathematik, Master Wirtschaftsmathematik, Master MaBi
Objective and Prerequisites
The goal of this course is to give an introduction into the popular programming language R and cover all the basics within what the data science workflow as depicted by Hadley Wickham & Garret Grolemund depicted below (Source R4DS licensed under CC BY-NC-ND 3.0 US)
That means that we need to at least partially cover what each step in the cyle means and how this can be implemented in R. This is actually quite a lot of material for one semester and the amount of programming involved in the exercises (depending on prior programming skills) can result in a time-consuming workload for the student.
Consequently, a major prerequisite for this course is a high resilience in coping with failure (as is inevitable when learning a new programming language) and the willingness to independently learn new material (e.g. for dealing with programming errors). Other than that, students should be familiar with elementary probability theory.
The lecture notes are currently still in the making and can be found at yards.albert-rapp.de. A tentative schedule can be found there as well.