Teaching
Stephan Doerfel offers modules in the Master's Program Data Science (MADS) and during the Interdisciplinary Weeks:
Master's Program Data Science
- General information regarding the study program MADS.
- For each module, a course page is created in Moodle. Passwords are distributed during the first session.
- For all students of the master's program, the Data Science Information Hub is relevant!
- All sessions in this program are held in English.
- Submissions for exams can be written in English or German.
MADS-MMS — Mathematics and Multivariate Statistics
- Note: MMS is held in the first half of the term, with two sessions per week.
- Term 1
- Current Course Page: WiSe 2023/24
- Previous Courses: WiSe 2023/24, SoSe 2023, WiSe 2022/23, SoSe 2022, WiSe 2021/22
MADS-ML — Machine Learning
- Note: ML is held in the second half of the term, with two sessions per week.
- Term 1
- Current Course Page: WiSe 2023/24 coming soon
- Previous Courses: SoSe 2023, WiSe 2022/23, SoSe 2022, WiSe 2021/22
MADS-DL — Deep Learning
- Term 2
- Current Course Page: WiSe 2023/24
- Previous Courses: SoSe 2023, WiSe 2022/23, SoSe 2022, WiSe 2021/22
MADS-EMDM — Advanced Topics of Data Mining (Elective Module)
- An elective module of the MADS Programm, open for students from other study programs.
- Term 2
- Current Course Page: WiSe 2023/24
- Previous Courses: SoSe 2023, WiSe 2022/23
MADS-AP — Application Project
- Term 2
- For planning the projectes, students must sign up for the application projects (moodle) at the end of the previous term!
- Current Course Page: WiSe 2023/24
- Previous Courses: SoSe 2023, WiSe 2022/23
Interdisciplinary Weeks
Stephan Doerfel offers (in irregular intervals) a LaTeX-course during the interdisciplinary weeks.
- Course content: First Steps in LaTeX, theory and practical excercises
- Language: German
- During the course, we use the online LaTeX environment Overleaf. Thus an installation of LaTeX is not required, but may be used if present.
- No requirements regarding previous knowledge about LaTeX nor special computer skills.
- Previous courses: SoSe 2023