Modules (Master)
May 22, 2023 2024-10-31 11:50Modules (Master)
Module Manual
Here you will find a tabular overview of all modules in the different categories, how many credit points the modules give and how many credit points are needed per category. Furthermore, we have compiled the detailed descriptions and further information for the respective modules in a single PDF.
Cores Lectures Computer Science
Semester Overview
SS 2024
- Introduction to Computational Logic [SS 2024]
- Machine Learning [SS 2024]
- Discrete Optimization [SS 2024]
- Image Processing and Computer Vision [SS 2024]
- Data Networks [SS 2024]
SS 2023
- Introduction to Computational Logic [SS 2023]
- Machine Learning [SS 2023]
- Image Processing and Computer Vision [SS 2023]
- Distributed Systems [SS 2023]
- Data Networks [SS 2023]
WS 2022/23
- Computer Graphics [WS 2022/23]
- Software Engineering [WS 2022/23]
- Algorithms and Data Structures [WS 2022/23]
- Database Systems [WS 2022/2023]
SS 2022
- Artificial Intelligence [SS 2022]
- Introduction to Computational Logic [SS 2022]
- Optimization [SS 2022]
- Machine Learning [SS 2022]
- Image Processing and Computer Vision [SS 2022]
WS 2021/22
- Computer Graphics [WS 2021/22]
- Software Engineering [WS 2021/22]
- Algorithms and Data Structures [WS 2021/22]
- Geometric Modeling [WS 2021/22]
SS 2021
- Artificial Intelligence [SS 2021]
- Introduction to Computational Logic [SS 2021]
- Optimization [SS 2021]
- Machine Learning [SS 2021]
- Image Processing and Computer Vision [SS 2021]
WS 2020/21
- Computer Graphics [WS 2020/21]
- Database Systems [WS 2020/2021]
- Software Engineering [WS 2020/21]
- Algorithms and Data Structures [ WS 2020/21]
- Geometric Modelling [WS 2020/21]
SS 2020
- Artificial Intelligence [SS 2020]
- Introduction to Computational Logic [SS 2020]
- Optimization [SS 2020]
- Image Processing and Computer Vision [SS 2020]
WS 2019/20
- Computer Graphics [WS 2019/20]
- Information Retrieval and Data Mining [ WS 2019/20]
- Software Engineering [WS 2019/20]
- Algorithms and Data Structures [ WS 2019/20]
- Geometric Modelling [WS 2019/20]
- Machine Learning [WS 2019/20]
SS 2019
- Artificial Intelligence [SS 2019]
- Introduction to Computational Logic [SS 2019]
- Optimization [SS 2019]
- Image Processing and Computer Vision [SS 2019]
WS 2018/2019
- Machine Learning [WS 2018/2019]
- Computer Graphics [WS 2018/2019]
- Database Systems [WS 2018/2019]
- Algorithms and Data Structures [WS 2018/2019]
- Human Computer Interaction [WS 2018/2019]
SS 2018
- Artificial Intelligence [SS 2018]
- Introduction to Computational Logic [SS 2018]
- Optimization [SS 2018]
- Algorithms and Data Structures [SS 2018]
- Image Processing and Computer Vision [SS 2018]
- Geometric Modelling [SS 2018]
WS 2017/18
- Computer Graphics [WS 2017/18]
- Database Systems [WS 2017/18]
- Security [WS 2017/18]
- Information Retrieval and Data Mining [WS 2017/18]
- Machine Learning [WS 2017/18]
SS 2017
- Optimization [SS 2017]
- Geometric Modeling [SS 2017]
WS 2016/17
- Computer Graphics [WS 2016/2017]
- Database Systems [WS 2016/2017]
- Machine Learning [WS 2016/2017]
- Algorithms and Data Structures [WS 2016/2017]
SS 2016
- Artificial Intelligence [SS 2016]
- Introduction to Computational Logic [SS 2016]
- Optimization [SS 2016]
- Geometric Modelling [SS 2016]
- Image Processing and Computer Vision [SS 2016]
- Security [SS 2016]
WS 2015/16
- Computer Graphics [WS 2015/2016]
- Database Systems [WS 2015/2016]
- Software Engineering [WS 2015/2016]
- Information Retrieval and Data Mining [WS 2015/2016]
- Algorithms and Data Structures [WS 2015/2016]
- Machine Learning [WS 2015/2016]
SS 2015
- Artificial Intelligence [SS 2015]
- Introduction to Computational Logic [SS 2015]
- Optimization [SS 2015]
- Image Processing and Computer Vision [SS 2015]
- Geometric Modeling [SS 2015]
WS 2014/15
- Computer Graphics [WS 2014/2015]
- Database Systems [WS 2014/2015]
- Algorithms and Data Structures [WS 2014/2015]
- Machine Learning [WS 2014/2015]
SS 2014
- Database Systems [SS 2014]
- Introduction to Computational Logic [SS 2014]
- Optimization [SS 2014]
- Geometric Modeling [SS 2014]
- Artificial Intelligence [SS 2014]
WS 2013/14
- Computer Graphics [WS 2013/2014]
- Machine Learning [WS 2013/2014]
- Image Processing and Computer Vision [WS 2013/2014]
- Algorithms and Data Structures [WS 2013/2014]
- Information Retrieval and Data Mining [WS 2013/2014]
- Software Engineering [WS 2013/2014]
SS 2013
- Introduction to Computational Logic [SS 2013]
- Optimization [SS 2013]
- Geometric Modeling [SS 2013]
- Artificial Intelligence [SS 2013]
WS 2012/13
- Computer Graphics [WS 2012/2013]
- Machine Learning [WS 2012/2013]
- Database Systems [WS 2012/2013]
- Image Processing and Computer Vision [WS 2012/2013]
- Algorithms and Data Structures [WS 2012/2013]
SS 2012
- Introduction to Computational Logic [SS 2012]
- Optimization [SS 2012]
- Geometric Modelling [SS 2012]
- Artificial Intelligence [SS 2012]
- Software Engineering [SS 2012]
WS 2011/12
- Computer Graphics [WS 2011/2012]
- Image Processing and Computer Vision [WS 2011/2012]
- Algorithmen und Datenstrukturen [WS 2011/2012]
- Information Retrieval and Data Mining [WS 2011/2012]
Advanced Lectures Life Sciences
Semester Overview
SS 2024
- Advances in Drug Delivery [SS 2024]
- Molekulare Biotechnologie [SS 2024]
- Das menschliche Genom [SS 2024]
- Medizinische Biotechnologie [SS 2024]
- NanoBiomaterialien-2 [SS 2024]
- Bioreaktionstechnik [SS 2024]
- Systems and Synthetic Biotechnology [SS 2024]
- Medicinal Chemistry & Drug Design for Bioinformaticians [SS 2024]
SS 2023
- Advances in Drug Delivery [SS 2023]
- Molekulare Biotechnologie [SS 2023]
- Das menschliche Genom [SS 2023]
- Medizinische Biotechnologie [SS 2023]
- NanoBiomaterialien 2 [SS 2023]
- Bioreaktionstechnik [SS 2023]
- Systems and Synthetic Biotechnology [SS 2023]
- Medicinal Chemistry & Drug Design for Bioinformaticians [SS 2023]
WS 2022/23
- Medizinische Chemie und Drug Design [WS 2022/23]
- Introduction in the Principles of Epigenetics [WS 2022/23]
- NanoBioMaterialien 1 [WS 2022/23]
SS 2022
- Advances in Drug Delivery [SS 2022]
- Cellular Programs [SS 2022]
- Molekulare Biotechnologie [SS 2022]
- Das menschliche Genom [SS 2022]
- Medizinische Biotechnologie [SS 2022]
- NanoBiomaterialien 2 [SS 2022]
- Systems and Synthetic Biotechnology [SS 2022]
WS 2021/22
- Medizinische Chemie und Drug Design [WS 2021/22]
- Bioreaktionstechnik [WS 2021/22]
- Introduction in the Principles of Epigenetics [WS 2021/22]
- NanoBioMaterialien 1 [WS 2021/22]
SS 2021
- Advances in Drug Delivery [SS 2021]
- Molekulare Biotechnologie 2 [SS 2021]
- Das menschliche Genom [SS 2021]
- Medizinische Biotechnologie [SS 2021]
- NanoBiomaterialien 2 [SS 2021]
- Systems and Synthetic Biotechnology [SS 2021]
WS 2020/21
- Medizinische Chemie und Drug Design [WS 2020/21]
- Bioreaction Engineering [WS 2020/21]
- Introduction in the Principles of Epigenetics and Epigenomics [WS 2020/21]
- NanoBioMaterialien-1 [WS 2020/21]
- Cellular Programs [WS 2020/21]
SS 2020
- Advances in Drug Delivery [SS 2020]
- Molekulare Biotechnologie 2 [SS 2020]
- Das menschliche Genom [SS 2020]
- Medizinische Biotechnologie [SS 2020]
- Nanopartikel und Drug Delivery [SS 2020]
- NanoBiomaterialien 2 [SS 2020]
- Systems and Synthetic Biotechnology [SS 2020]
WS 2019/20
- Medizinische Chemie und Drug Design [WS 2019/20]
- Bioreaction Engineering [WS 2019/20]
- Introduction in the Principles of Epigenetics and Epigenomics [WS 2019/20]
- NanoBioMaterialien-1 [WS 2019/20]
SS 2019
- Cellular Programs [SS 2019]
- Advances in Drug Delivery [SS 2019]
- Molekulare Biotechnologie 2 [SS 2019]
- Das menschliche Genom [SS 2019]
- Medizinische Biotechnologie [SS 2019]
- Nanopartikel und Drug Delivery [SS 2019]
- NanoBiomaterialien 2 [SS 2019]
- Systems and Synthetic Biotechnology [SS 2019]
WS 2018/2019
- Medizinische Chemie und Drug Design [2018/2019]
- Bioreaktionstechnik [WS 2018/2019]
- Introduction in the Principles of Epigenetics and Epigenomics [WS 2018/2019]
- Nanopartikel und Drug Delivery – Moderne Arzneiformen und Biomedizinische Anwendungen [WS 2018/2019]
- NanoBioMaterialien 1[WS 2018/2019]
SS 2018
- Advances in Drug Delivery [SS 2018]
- Molekulare Biotechnologie 2 [SS 2018]
- Das menschliche Genom [SS 2018]
- Medizinische Biotechnologie [SS 2018]
- Nanopartikel und Drug Delivery [SS 2018]
- NanoBiomaterialien2 [SS 2018]
- Systems and Synthetic Biotechnology [SS 2018]
WS 2017/18
- Medizinische Chemie und Drug Design [WS 2017/18]
- Cellular Programs [WS 2017/18]
- Bioreaction Engineering [WS 2017/18]
- Introduction in the Principles of Epigenetics and Epigenomics [WS 2017/18]
- Bioanalytik [WS 2017/18]
- Nanopartikel und Drug Delivery – Moderne Arzneiformen und Biomedizinische Anwendungen [WS 2017/18]
- NanoBioMaterialien-1 [WS 2017/18]
SS 2017
- Advances in Drug Delivery [SS 2017]
- Molekulare Biotechnologie 2 [SS 2017]
- Das menschliche Genom [SS 2017]
- Medizinische Biotechnologie [SS 2017]
- NanoBiomaterialien [SS 2017]
- Systems and Synthetic Biology [SS 2017]
WS 2016/17
- Bioreaktionstechnik [WS 2016/2017]
- Medizinische Chemie und Drug Design [WS 2016/2017]
- Introduction in the Principles of Epigenetics [WS 2016/2017]
- Bioanalytik [WS 2016/2017]
- NanoBiomaterialien [WS 2016/2017]
SS 2016
- Advances in Drug Delivery [SS 2016]
- Molekulare Biotechnologie 2 [SS 2016]
- Das menschliche Genom [SS 2016]
- Medizinische Biotechnologie [SS 2016]
- NanoBiomaterialien 2 [SS 2016]
- Systems and Synthetic Biotechnology [SS 2016]
WS 2015/16
- Medizinische Chemie und Drug Design [WS 2015/2016]
- Bioreaction Engineering [WS 2015/2016]
- Introduction in the Principles of Epigenetics [WS 2015/2016]
- Bioanalytik [WS 2015/2016]
- Systems Toxicology [WS 2015/2016]
- NanoBioMaterialien-1 [WS 2015/2016]
SS 2015
- Advances in Drug Delivery [SS 2015]
- Molekulare Biotechnologie 2 [SS 2015]
- Das menschliche Genom [SS 2015]
- Medizinische Biotechnologie [SS 2015]
- NanoBiomaterialien 2 [SS 2015]
- Systems and Synthetic Biology [SS 2015]
WS 2014/15
- Medizinische Chemie und Drug Design [WS 2014/2015]
- Bioreaktionstechnik [WS 2014/2015]
- Bioanalytik [WS 2014/2015]
- Principles of Epigenetics and Epigenomics [WS 2014/2015]
- Systems Toxicology [WS 2014/2015]
- NanoBioMaterialien 1 [WS 2014/2015]
SS 2014
- Advances in Drug Delivery [SS 2014]
- Molekulare Biotechnologie 2 [SS 2014]
- Das menschliche Genom [SS 2014]
- Medizinische Biotechnologie [SS 2014]
- NanoBiomaterialien 2 [SS 2014]
- Virology and Viral Immunology [SS 2014]
- Systems and Synthetic Biology [SS 2014]
WS 2013/14
- Medizinische Chemie und Drug Design [WS 2013/2014]
- Bioreaction Engineering [WS 2013/2014]
- Bioanalytik [WS 2013/2014]
- Systems Toxicology [WS 2013/2014]
- Introduction in the Principles of Epigenetics [WS 2013/2014]
- NanoBioMaterialien 1 [WS 2013/2014]
SS 2013
- Molekulare Biotechnologie 2 [SS 2013]
- Advances in Drug Delivery [SS 2013]
- Das menschliche Genom [SS 2013]
- Systems and Synthetic Biology [SS 2013]
WS 2012/13
- Medizinische Chemie und Drug Design [WS 2012/2013]
- Bioreaction Engineering [WS 2012/2013]
- Bioanalytik [WS 2012/2013]
- Systems Toxicology [WS 2012/2013]
- Introduction in the Principles of Epigenetics [WS 2012/2013]
SS 2012
- Molekulare Biotechnologie II [SS 2012]
- Advances in Drug Delivery [SS 2012]
- Das menschliche Genom [SS 2012]
- Systems and Synthetic Biology [SS 2012]
WS 2011/12
- Medizinische Chemie und Drug Design [WS 2011/2012]
- Bioreaction Engineering [WS 2011/2012]
- Bioanalytik [WS 2011/2012]
- Systems Toxicology [WS 2011/2012]
- Virology and Viral Immunology [WS 2011/2012]
Advanced Lectures Bioinformatics
Semester Overview
SS 2024
- Bioinformatics 3 [SS 2024]
- Algorithms for Sequence Analysis [SS 2024]
- Computational Methods for Epigenome Analysis [SS 2024]
SS 2023
- Algorithms for Sequence Analysis [SS 2023]
- Alignment-Free Sequence Analysis with Python [SS 2023]
- Algorithms and Applications for MicroRNA Research [SS 2023]
- Computational Methods for Epigenome Analysis [SS 2023]
WS 2022/23
- Bioinformatik III [WS2022/23]
- Single-Cell Bioinformatics [WS 2022/23]
- Modern Methods in Drug Discovery [WS 2022/23]
- Structural Bioinformatics [WS 2022/23]
- Open-Source Software and Libraries for Data Driven Drug Design [WS 2022/23]
- Elements of Machine Learning [WS 2022/23]
SS 2022
WS 2021/22
- Single-Cell Bioinformatics [WS 2021/22]
- Statistics, Probability and Applications in Bioinformatics [WS 2021/22]
- Modern Methods in Drug Discovery [WS 2021/22]
- Structural Bioinformatics [WS 2021/22]
- Processing of Biological Data [WS 2021/22]
SS 2021
- Bioinformatik III [SS 2021]
- Algorithms for Sequence Analysis [SS 2021]
- Computational Methods for Epigenome Analysis [SS 2021]
WS 2020/21
- Modern Methods in Drug Discovery [WS 2020/21]
- Structural Bioinformatics [WS 2020/21]
- Elements of Machine Learning [WS 2020/21]
SS 2020
- Algorithms for Sequence Analysis [SS 2020]
- Processing of Biological Data [SS 2020]
- Algorithms and Applications for MicroRNA Research [SS 2020]
WS 2019/20
- Bioinformatik III [WS 2019/20]
- Modern Methods in Drug Discovery [WS 2019/20]
- Structural Bioinformatics [WS 2019/20]
- Elements of Statistical Learning [WS 2019/20]
SS 2019
- Algorithms for Sequence Analysis [SS 2019]
- Probabilistic Models and Data Analysis [SS 2019]
- Algorithms and Applications for MicroRNA Research [SS 2019]
WS 2018/2019
- Processing of Biological Data [WS 2018/2019]
- Structural Bioinformatics [WS 2018/2019]
- Statistical Learning [WS 2018/2019]
SS 2018
- Bioinformatik III [SS 2018]
- Algorithms for Sequence Analysis [SS 2018]
- Algorithms and Applications for MicroRNA Research [SS 2018]
WS 2017/18
- Modern Methods in Drug Discovery [WS 2017/18]
- Elements of Statistical Learning [WS 2017/18]
- Methods for Population Genetics [WS 2017/18]
- Probabilistic Models and data Analysis [WS 2017/18]
SS 2017
- Processing of Biological Data [SS 2017]
- Algorithms for Sequence Analysis [SS 2017]
- Algorithms and Applications for MicroRNA Research [SS 2017]
WS 2016/17
- Bioinformatik III [WS 2016/2017]
- Modern Methods in Drug Discovery [WS 2016/2017]
- Elements of Statistical Learning [WS 2016/2017]
- Structural Bioinformatics [WS 2016/2017]
- Modeling and Simulation [WS 2016/2017]
SS 2016
- Statistical Learning in Computational Biology [SS 2016]
- Algorithms for Sequence Analysis [SS 2016]
- Algorithms and Applications for MicroRNA Research [SS 2016]
WS 2015/16
- Bioinformatik III [WS 2015/2016]
- Modern Methods in Drug Discovery [WS 2015/2016]
- Elements of Statistical Learning [WS 2015/2016]
- Bioinformatics for Next Generation Sequencing [WS 2015/2016]
- Methods for Population Genetics [WS 2015/2016]
- Stuctural Aspects in Bioinformatics of Viruses [WS 2015/2016]
- Probabilistic Models and Data Analysis [WS 2015/2016]
SS 2015
- Statistical Learning in Computational Biology [SS 2015]
- Modeling Cell Fate [SS 2015]
- Algorithms for Sequence Analysis [SS 2015]
WS 2014/15
- Bioinformatik III [WS 2014/2015]
- Modern Methods in Drug Discovery [WS 2014/2015]
- Statistical Learning [WS 2014/2015]
- Discrete Computational Biology [WS 2014/2015]
- Structural Bioinformatics [WS 2014/2015]
- Modeling and Simulation [WS 2014/2015]
- Methods for Population Genetics [WS 2014/2015]
SS 2014
- Algorithms and Applications in NGS [SS 2014]
- Mathematics of Cellular Networks [SS 2014]
- Algorithms for Sequence Analysis [SS 2014]
WS 2013/14
- Bioinformatik III [WS 2013/2014]
- Modern Methods in Drug Discovery [WS 2013/2014]
- Statistical Learning II [WS 2013/2014]
- Bioinformatics for Next Generation Sequencing [WS 2013/2014]
- Discrete Computational Biology [WS 2013/2014]
- Structural Bioinformatics [WS 2013/2014]
- Stochastic Dynamics in Systems Biology [WS 2013/2014]
SS 2013
WS 2012/13
- Bioinformatik III [WS 2012/2013]
- Modern Methods in Drug Discovery [WS 2012/2013]
- Statistical Learning II [WS 2012/2013]
- Discrete Computational Biology [WS 2012/2013]
- Modelling and Simulation [WS 2012/2013]
SS 2012
- Statistical Learning I [SS 2012]
- Computational Systems Biology [SS 2012]
- Computational Biology of Transcriptional Gene Regulation [SS 2012]
WS 2011/12
Practical Skills Classes (in German)
Semester Overview
SS 2024
SS 2023
WS 2022/23
- Effizientes Lernen [WS 2022/23]
- Unternehmensgründung und Patentwesen in den Naturwissenschaften [WS 2022/23]
SS 2022
WS 2021/22
SS 2021
WS 2020/21
- Effizientes Lernen [WS 2020/21]
- Unternehmensgründung und Patentwesen in den Naturwissenschaften [WS 2020/21]
SS 2020
WS 2019/20
- Effizientes Lernen [WS 2019/20]
- Unternehmensgründung und Patentwesen in den Naturwissenschaften [WS 2019/20]
SS 2019
WS 2018/2019
- Effizientes Lernen [WS 2018/2019]
- Unternehmensgründung und Patentwesen in den Naturwissenschaften [WS 2018/2019]
SS 2018
WS 2017/18
SS 2017
WS 2016/17
- Effizientes Lernen [WS 2016/2017]
- Unternehmensgründung und Patentwesen in den Naturwissenschaften [WS 2016/2017]
SS 2016
WS 2015/16
- Effizientes Lernen [WS 2015/2016]
- Unternehmensgründung und Patentwesen in den Naturwissenschaften [WS 2015/2016]
SS 2015
WS 2014/15
WS 2013/14
SS 2013
WS 2012/13
SS 2012
WS 2011/12
Others
Semester Overview (Practical Training)
SS 2024
WS 2022/23
WS 2021/22
WS 2020/21
WS 2019/20
WS 2017/18
WS 2016/17
WS 2013/14
- Fopra Biowissenschaften: miRNA Based Diagnostics [WS 2013/2014]
WS 2012/13
- Fopra: Biowissenschaften: Advanced practical course in biotechnology “Antigen based diagnostics” [WS 2012/2013]
WS 2011/12
- Fopra Biowissenschaften: Advanced practical course in biotechnology “Antigen based diagnostics” [WS2011/2012]
Semester Overview (Seminars)
SS 2024
- Seminar: Genome Mining [SS 2024]
- Seminar: Machine Learning in scRNA-seq [SS 2024]
- Seminar: Comparision and clustering of biological molecules [SS 2024]
SS 2023
- Seminar: Single-Cell RNA Sequencing [SS 2023]
- Seminar: Explainability in AI for Drug Discovery [SS 2023]
- Seminar: Predicting Genotype-to-Phenotype Relationships [SS 2023]
- Seminar: Data-Driven Drug Design – Methods and Applications [SS 2023]
- Seminar: Hot Topics in Long-Read Sequencing [SS 2023]
- Seminar: Multi-Omics Appsoaches to Drug Discovery [SS 2023]
WS 2022/23
- Pro-/Seminar: Computational Methods for Spatial Transcriptomics [WS 2022/23]
- Seminar: Biomedical Image Analysis [WS 2022/23]
- Seminar: Machine Learning Applications in Bioinformatics [WS 2022/23]
- Seminar: Alignment-free Sequence Analysis Algorithms [WS 2022/23]
SS 2022
- Seminar: Deep Learning for Drug Discovery [SS 2022]
- Seminar: Machine Learning Applications in Bioinformatics [SS 2022]
- Seminar: Algorithms for Metagenomics [SS 2022]
WS 2021/22
- Seminar: Biomedical Image Analysis [WS 2021/22]
- Seminar: Machine Learning Applications in Bioinformatics [WS 2021/22]
- Seminar: Current Topics in Sequence Analysis [WS 2021/22]
SS 2021
- Seminar: Bioinformatic Approaches for Single Cell Analysis [SS 2021]
- Seminar: Machine Learning Applications in Bioinformatics [SS 2021]
- Seminar: Machine Learning [SS 2021]
- Seminar: Bioinformatics Prediction of Phenotypic Effects of Genetic Variants [SS 2021]
WS 2020/21
- Seminar: The role of Bioinformatics in Epigenetics [WS 2020/21]
- Seminar: Bioinformatics Approaches for Single Cell Analysis [WS 2020/21]
- Seminar: Novel Methods for Modelling Gene Regulation [WS 2020/21]
SS 2020
- Seminar: Bioinformatic Approaches for Single Cell Analysis [SS 2020]
- Seminar: Novel Methods for Modeling Gene Regulation [SS 2020]
- Seminar: Single-Cell RNA Sequencing [SS 2020]
WS 2019/20
- Seminar: Exploring Complex Network Dynamics [WS 2019/20]
- Seminar: Reinforcement Learning [ WS 2019/20]
- Seminar: Computational Systems Biology of Cancer [WS 2019/20]
- Seminar: Novel Methods for Modelling Gene Regulation [WS 2019/20]
- Seminar: Biomedical Image Analysis [WS 2019/20]
SS 2019
- Seminar: Computational Systems Biology of Cancer [SS 2019]
- Seminar: Novel Methods for Modeling [SS 2019]
- Seminar: Machine Learning [SS 2019]
WS 2018/2019
- Seminar: microRNA-based Approaches for Clinical Applications [WS 2018/2019]
- Seminar: Computational Systems Biology of Cancer [WS 2018/2019]
SS 2018
- Seminar: Computational System Biology of Cancer [SS 2018]
- Seminar: Bioinformatic Tools in Microbiological Research [SS 2018]
- Seminar: Algorithms for Small Non-Coding RNA Discovery [SS 2018]
- Seminar: Selected Topics in System Biology [SS 2018]
WS 2017/18
- Seminar Lenhof: Computational Systems Biology of Cancer [WS 2017/18]
- Seminar Keller/Galata: Bioinformatic Tools in Bacterial Research [WS 2017/18]
- Seminar Marschall: Recent Advances in Genome Assembly [WS 2017/18]
- Seminar Schulz: Probabilistic Methods for the Analysis of Next Generation Sequencing [WS 2017/18]
- Seminar Keller/Laczny: Computational Approaches in Microbial Community Research [WS 2017/18]
- Seminar Keller/Kahraman: MicroRNA-based Approaches for Clinical Applications [WS 2017/18]
SS 2017
- Seminar Lenhof: Computational Systems Biology of Cancer [SS 2017]
- Seminar Keller/Galata: Phenotype Prediction in Bacteria [SS 2017]
- Seminar Keller/Laczny: Nanopore Sequencing-Based Study of Microorganisms [SS 2017]
- Seminar Keller/Kahraman: MiRNAs as Biomarkers for Disease Detection [SS 2017]
- Seminar Marschall: Algorithms for Pan-Genomics [SS 2071]
WS 2016/17
- Seminar Lenhof: Computational Systems Biology of Cancer [WS 2016/2017]
- Seminar Keller/Laczny: Efficient Data Structures in Computational Microbiological Research [WS 2016/2017]
- Seminar Keller/Galata: Bioinformatic Tools in Bacterial Research [WS 2016/2017]
- Seminar Marschall: Computational Haplotyping [WS 2016/2017]
- Seminar Schulz: Probabilistic Methods for the Analysis of Next Generation Sequencing [WS 2016/2017]
SS 2016
- Seminar Lenhof: Probabilistic Graphical Models in Disease [SS 2016]
- Seminar Keller/Galata: Computational Approaches in Bacterial Resistance Research [SS 2016]
- Seminar Keller/Laczny: Computational Approaches in Microbial Community Research [SS 2016]
- Seminar Marschall: Algorithms for Pan-Genomics [SS 2016]
WS 2015/16
- Seminar Lenhof: Probabilistic Graphical Models in Disease [WS 2015/2016]
- Seminar Keller: Selected Topics in Systems Biology [WS 2015/2016]
- Seminar Keller: Computational Approaches in Bacterial Resistance Approach [WS 2015/2016]
- Seminar Schulz: Probabilistic Methods for the Analysis of Next Generation Sequencing [WS 2015/2016]
- Seminar Wolf: Rule-Based and Hybrid Simulation of Reaction Networks [WS 2015/2016]
- Seminar Lengauer/Pfeifer: Viral Bioinformatics [WS 2015/2016]
SS 2015
- Seminar Lenhof: Bioinformatic Approaches for Cancer Research [SS 2015]
- Seminar Helms: Bacterial Resistance [SS 2015]
- Seminar Keller: Selected Topics in Systems Biology [SS 2015]
- Seminar Keller: Bacterial Data: Processing and Analysis [SS 2015]
WS 2014/15
- Seminar Lenhof: Inferring Network Structure from Data [WS 2014/2015]
- Seminar Keller: Selected Topics in Systems Biology [WS 2014/2015]
- Seminar Keller: SNP-Detection and NGS [WS 2014/2015]
- Seminar Schulz: Probabilistic Methods for the Analysis of Next Generation Sequencing [WS 2014/2015]
SS 2014
- Seminar Lenhof: Inferring Network Structure from Data [SS 2014]
- Seminar Wolf: Stochastic Modelling in the Biological Sciences [SS 2014]
- Seminar Keller: Bioinformatics for miRNA Diagnostics [SS 2014]
WS 2013/14
- Seminar Lenhof: Inferring Network Structure from Data [WS 2013/2014]
- Seminar Schulz: Advanced Topics in Next Generation Sequencing Analysis [WS 2013/2014]
SS 2013
- Seminar Lenhof: Approaches for Cancer Research [SS 2013]
- Seminar Pfeifer: Statistical Learning in Computational Biology [SS 2013]
- Seminar Wolf: Parameter Estimation Methods for Markov Chains [SS 2013]
WS 2012/13
- Semianr Lenhof: Bioinformatic Approaches for Cancer Research [WS 2012/2013]
- Seminar Helms: Modeling of Bacterial Resistance [WS 2012/2013]
SS 2012
- Seminar Lenhof: Selected Topics in Molecular Docking [SS 2012]
- Seminar Lenhof: Modelling and Analyzing biological Networks [SS 2012]
- Seminar Pahle: Information Processing in Living Systems [SS 2012]
- Seminar Geyer: Parallel Computing for Scientific Applications [SS 2012]
WS 2011/12
- Seminar Lenhof: Modelling and analyzing biological networks [WS 2011/2012]
- Seminar Lenhof: Selected topics in molecular docking [WS 2011/2012]
- Seminar Hutter: Current topics in molecular modelling [WS 2011/2012]
- Seminar Baumbach: Gene regulatory networks [WS 2011/2012]
- Seminar Baumbach: Clustering in bioinformatics [WS 2011/2012]
- Seminar Wolf: Stochastic simulation techniques [WS 2011/2012]