Found 5 relevant results in 4.85s where lecturer="Karsten Michael Borgwardt"

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636-0704-00L 2020S , 2020W , 2021S , 2021W , 2022S , 2022W , 2023S , 2023W , 2024S , 2024W , 2025S , 2025W , 2026S , 2026W 2 Credits MSC D-BSSE , D-INFK

Computational Biology und Bioinformatik analysieren lebende Systeme mit Methoden der Informatik. Das Seminar kombiniert Präsentationen von Studierenden und Forschenden, um das sich schnell entwickelnde Gebiet aus der Informatikperspektive zu skizzieren. Themenbereiche sind Sequenzanalyse, Proteomics, Optimierung und Bio-inspired computing, Systemmodellierung, -simulation und -analyse.

2020S
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2026W
636-0301-00L 2020S , 2020W , 2021S , 2021W , 2022W 2 Credits DR D-BSSE

This seminar will feature invited lectures about recent advances and developments in systems biology, including topics from biology, bioengineering, and computational biology.

2020S
2020W
2021S
2021W
636-0018-00L 2020W , 2021W , 2022W 6 Credits DR , MSC D-BSSE , D-INFK

Data Mining, the search for statistical dependencies in large databases, is of utmost important in modern society, in particular in biological and medical research. This course provides an introduction to the key problems, concepts, and algorithms in data mining, and the applications of data mining in computational biology.

2020W
2021W
636-0019-00L 2020S , 2021S , 2022S 6 Credits DR , MSC D-BSSE , D-INFK

Data Mining, the search for statistical dependencies in large databases, is of utmost important in modern society, in particular in biological and medical research. Building on the basic algorithms and concepts of data mining presented in the course "Data Mining I", this course presents advanced algorithms and concepts from data mining and the state-of-the-art in applications of data mining.

2020S
2021S
551-1174-00L 2020S , 2021S , 2022S , 2023S , 2024S , 2025S , 2026S 5 Credits BSC D-HEST , D-BIOL , D-CHAB

The course teaches computational methods and first hands-on applications by starting from biological problems/phenomena that students in the 4th semester are somewhat familiar with. During the exercises, students will obtain first experience with programming their own analyses/models for data analysis/interpretation.

2020S
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