Projects in summer semester 2025
Determining effect sizes of interventions for disruptions in experimental lessons using the GSSG method
Slots: 2-4, Hours per week: 5-7, Completion within: 6-9 monthsFor students inrolled in: Chemestry B.Ed., Geography B.Ed., Informatics B.Ed., Mathematics B.Ed., Physics B.Ed.,
Discription
Using interventions to address disruptions in lessons is challenging for any teacher, especially in experimental lessons where students could hurt themselves. However, most studies only rely on personal experience and not empirical data. This project aims to use a new analytic method called GSSG to determine the effect size of interventions in a few experimental lessons.
Role of the students
The students' task is to set up an already-made play game to extract data and use this data with the GSSG method. If desired, you can also contribute to the further development of the method.
Qualifications
Since the GSSG method is Python-based, the students must use a few lines of Python code themselves. Writing their own code is not required, but simply adapting existing code through a few lines is. So, experience in Python or programming in general is helpful but not required.
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Creating an analysis framework for Coarse-Grained LLPS-Simulations
Slots: 1, Hours per week: 6, Completion within: 6 monthsFor students inrolled in: Applied Physics B.Sc., BMC B.Sc., Chemestry B.Ed., Chemestry B.Sc., Environmental Sciences with a Focus in Atmosphere and Climate B.Sc., Geography B.Ed., Geography B.Sc., Geosciences B.Sc., Informatics B.Ed., Informatics B.Sc., Mathematics B.Ed., Mathematics B.Sc., Mathematics-Infomatics B.Sc., Meteorology B.Sc., Molecular Biology B.Sc., Molecular Biotechnology B.Sc., Physics B.Ed., Physics B.Sc.,
Discription
Complementary to the work of our experimentalists in biology, we investigate the liquid-liquid phase separation (LLPS) of different proteins using coarse-grained molecular dynamics (MD) simulations. To create a phase diagram, many simulations with varying starting parameters are carried out and evaluated according to the same scheme. Additional features are to be added to the existing framework for this purpose.
Role of the students
The students implement new analysis features and thus gain an insight into research using biophysical simulations, as well as the development of research software using test-driven development.
Qualifications
Basic knowledge of statistical physics, programming and willingness to familiarize yourself with an interdisciplinary field are required. Knowledge of MD simulations, the Julia programming language, good English skills, Git and statistics are advantageous.
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Mathematical Pre-course in Biology, Chemestry, and Geosciences Guidelines
Slots: 1-3, Hours per week: 5, Completion within: 9 monthsFor students inrolled in: Applied Physics B.Sc., BMC B.Sc., Chemestry B.Ed., Chemestry B.Sc., Environmental Sciences with a Focus in Atmosphere and Climate B.Sc., Geography B.Ed., Geography B.Sc., Geosciences B.Sc., Informatics B.Ed., Informatics B.Sc., Mathematics B.Ed., Mathematics B.Sc., Meteorology B.Sc., Molecular Biotechnology B.Sc., Physics B.Ed., Physics B.Sc.,
Discription
The school mathematics pre-semester course for biology often receives criticism through the participants. The main criticism is, that the courses mostly do not start with mathematical basics which the students know. Goal of the project is to evaluate the current state of the course.
Role of the students
The role of the students is to mainly evaluate the worksheets the students work on during the course. Evaluate where the current problems are and how to change the worksheets for the needs of the students.
Qualifications
A good understanding of the mathematical courses in the first semester of biology is necessary. This includes analysis in more than one dimension, fundamental linear algebra, fundamental differential equations, complex-valued equations, and statistics of standard deviation and mean value
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