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55662-01 - Lecture: Applied Mathematics and Informatics in Drug Discovery 2 CP

Semester fall semester 2020
Course frequency Every fall sem.
Lecturers Jitao David Zhang (, Assessor)
Content Applied mathematics and computer science are indispensable in modern drug discovery to enable decisions that have direct impacts on lives. This introductory course will offer a practitioner’s review of mathematical concepts, informatics tools, and industrial approaches in relevant fields, especially bioinformatics, molecular modelling, cheminformatics, mathematical modelling, experiment design and statistical inference, and machine learning. It is hoped that the students are exposed to the interdisciplinary and multiscale modelling nature of drug discovery, and are motivated to deepen their knowledge in relevant fields in future study and practice, to be able to solve open challenges in drug discovery.
Learning objectives We explore the drug-discovery process and study applications of mathematics and informatics with case studies. We examine how mathematics concepts and informatics tools are used to model complex systems at multiple levels - molecular level, cellular and omics level, organ- and system-level, and population level - and how the multiscale modelling approach contributes to drug discovery.
Bibliography Lecture notes and slides. Recommend reading (papers, book chapters, etc.) and media (e.g. YouTube videos) will be distributed.


Admission requirements Students of natrual sciences, including biology, physics, chemistry, pharmacy, and medical students are as much welcome as students of mathematics and computer sciences.

Though no prerequisite courses are obligatory, elementary understanding of statistics, probability, calculus, and ordinary differential equations are helpful. High-school knowledge in physics, chemistry, and biology are required. Knowledge and proficiency in at least one programming language (preferably C/C++, Java, R, Python, or Julia) is very helpful to try real-world problems.
Course application Due to the coronavirus pandemic, the course in fall semester 2020 takes place online by Zoom. Please register yourself once to attend the Zoom meetings at This applies to both students who want to get credits and auditors.
Language of instruction English
Use of digital media No specific media used
Course auditors welcome


Interval weekly
Date 18.09.2020 – 18.12.2020
Time Friday, 12.15-14.00 - Online Präsenz -
Date Time Room
Friday 18.09.2020 12.15-14.00 - Online Präsenz -, --
Friday 25.09.2020 12.15-14.00 - Online Präsenz -, --
Friday 02.10.2020 12.15-14.00 - Online Präsenz -, --
Friday 09.10.2020 12.15-14.00 - Online Präsenz -, --
Friday 16.10.2020 12.15-14.00 - Online Präsenz -, --
Friday 23.10.2020 12.15-14.00 - Online Präsenz -, --
Friday 30.10.2020 12.15-14.00 - Online Präsenz -, --
Friday 06.11.2020 12.15-14.00 - Online Präsenz -, --
Friday 13.11.2020 12.15-14.00 - Online Präsenz -, --
Friday 20.11.2020 12.15-14.00 - Online Präsenz -, --
Friday 27.11.2020 12.15-14.00 Dies Academicus
Friday 04.12.2020 12.15-14.00 - Online Präsenz -, --
Friday 11.12.2020 12.15-14.00 - Online Präsenz -, --
Friday 18.12.2020 12.15-14.00 - Online Präsenz -, --
Modules Modul: Applications and Related Topics (Bachelor's degree subject Computer Science)
Module: Applications and Related Topics (Bachelor's Studies: Computer Science)
Module: Applied Mathematics (Bachelor's Studies: Mathematics)
Assessment format continuous assessment
Assessment details Scores will be given in scale 1-6 by 0.5, by participation (20%), near-end-term presentation (30%), and end-term project work (50%).
Assessment registration/deregistration Reg./dereg.: course registr./cancel registr. via MOnA
Repeat examination no repeat examination
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Science,
Offered by Fachbereich Mathematik