Lecturer: Diyora Salimova
Language: Talk/participation possible in German and English

Time and place

Seminar: Mi, 14-16h, SR 226, Hermann-Herder-Str. 10
Preregistration: by e-mail to Diyora Salimova
Preliminary Meeting
Preparation meetings for talks: Dates by arrangement

Usability

Elective in Data
Mathematical Seminar

Please refer to the Supplements to the Module Handbooks for the number of ECTS credits.

Lecturer: Angelika Rohde
Language: Talk/participation possible in German and English

Block seminar
Preregistration:
Preliminary Meeting
Preparation meetings for talks: Dates by arrangement

Usability

Elective in Data
Mathematical Seminar

Please refer to the Supplements to the Module Handbooks for the number of ECTS credits.

Lecturer: Harald Binder
Language: Talk/participation possible in German and English

Time and place

Seminar: Mi, 10:15-11:30h, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Preregistration:
Preliminary Meeting HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26

In HISinOne: no course registration, but exam registration until 8 October 2025.

Content

To answer complex biomedical questions from large amounts of data, a wide range of analysis tools is often necessary, e.g. deep learning or general machine learning techniques, which is often summarized under the term ``Medical Data Science''. Statistical approaches play an important rôle as the basis for this. A selection of approaches is to be presented in the seminar lectures that are based on recent original work. The exact thematic orientation is still to be determined.

Previous knowledge

Good knowledge of probability theory and mathematical statistics.

Usability

Elective in Data
Mathematical Seminar

Please refer to the Supplements to the Module Handbooks for the number of ECTS credits.

Lecturer: Nadine Binder
Language: Talk/participation possible in German and English

Time and place

Seminar: Di, 16:30-18h, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Preregistration: by e-mail to Nadine Binder
Preliminary Meeting 05.02., 16:30, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26

Note: Only for the degree programme "Mathematics in Data and Technology"

Content

Imagine being able to use routine data such as diagnoses, lab results, and medication plans to answer medical questions in innovative ways and improve patient care. In this seminar, we will learn to identify relevant data, understand suitable analysis methods, and what to consider when applying them in practice. Together, we will analyze scientific studies on routine data and discuss clinical questions, the methods used, and their feasibility for implementation.

What makes this seminar special: Medical and mathematics students collaborate to understand scientific studies from both perspectives. When possible, you will work in pairs (or individually if no pair can be formed) to analyze a study from your respective viewpoints and prepare related presentations. You may test available programming code or develop your own approaches to replicate the methods and apply them to your own questions. The pairs can be formed during the preliminary meeting.

Usability

Elective in Data
Mathematical Seminar

Please refer to the Supplements to the Module Handbooks for the number of ECTS credits.