Mathematical and Computational Biology in Drug Discovery (2021): Pre-course survey
Dear students,

From next week Friday on, we will spend a semester virtually together to learn about Mathematical and Computational Biology in Drug Discovery (MCBDD). To understand what motivate you to join the MCBDD courses and what topics are you mostly interested in, I would appreciate if you fill out this pre-course survey. Your reply helps to shape the lectures.

The MCBDD course series extend the topics covered in the introductory course Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD) in the fall semester. I hope that MCBDD helps students learn about principles and techniques of mathematical and computational biology, as well as their applications in drug discovery.

You can find details and logistics about the course on the course's website: In case of questions, please let me know in the comment field or email me at

Thank you for filling the pre-course survey. Stay healthy, and see you soon,
Email *
Your Given Name
Your Family Name
What's your background? *
Which learning stage are you in now? *
Have you worked or are you working with bioinformatics, mathematical biology or computational biology? *
What motivates you take the MCBDD course? *
I am interested in learning about following topics *
Not at all interested
Somehow interested
Very interested
I know the topic already very well
Reproducible research (git, snakemake, conda, etc.)
Human genome (architecture, function, evolution, variability)
Gene expression (regulation, analysis, MoA inference)
Special topics about antibodies and nucleotides
Probability and inference
Linear and generalized linear models
Bayesian inference
Machine learning
Neural network and Gaussian Processes
Graph and network analysis
Mathematical modelling
Will you follow the course by attending Zoom meeting, or learn asynchronously by watching the recordings later?
Clear selection
What other topics do you wish to learn?
What's your expectation of the course?
Any comments, questions, and suggestions for the course:
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