Sommersemester, das Modul wird mindestens zweijährlich angeboten
5 Credit points
For information on the duration of the modul, refer to the courses of study in which the module is used.
Non-official translation of the module descriptions. Only the German version is legally binding.
The students get knowledge about recent methods in cognitive science, and they acquire expertise how to use these methods in complex application domains. These competences cover mathematical formalization of the fundamental settings, knowledge about specific relevant algorithms, as well as its adaptation in concrete applications and typical work flows. The lecture is accompanied by practical exercises where the students experiment with the algorithms in concrete applications.
In the module, relevant techniques of cognitive science are considered as regards their applicability in an exemplary domain such as the web to efficiently structure the available information. Topics which are covered include the following: graph analysis with Pagerank, dimensionality reduction and data visualisation (e.g. ICA, MDS, Isomap, LLE, t-SNE, Laplacian Eigenmaps and extensions, evaluation), clustering (e.g. spectral clustering, affinity propagation, relational clustering, evaluation), prototype-based classification (GLVQ, matrix learning, relational LVQ), deep learning). Thereby, the focus lies on methods which are suited for non-vectorial data and efficient realisations.
Introduction to computer science (such as algorithms and data structures), introduction to mathematics
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Notes on course selection:
One of the courses Machine Learning on the Web (lecture +exercise), Softcomputing for Bioinformatics (lecture +exercise) or Modern Data Analysis (lecture +Project) can be selected.
Ungraded / graded module examination:
In some degree programmes, the module (partial) examination can also be taken "ungraded" at the student's discretion. A corresponding specification must be made before the examination is taken; a subsequent change (graded - ungraded) is not possible. If this option is selected, it is not possible to use this module for a degree programme in which this module is taken into account in the overall grade calculation.
Module structure: 0-1 bPr, 0-1 uPr 1
In some degree programmes of the Faculty of Technology, the module examination can also be "ungraded" at the student's discretion (see explanations of the module elements and the respective subject-specific regulations). If the ungraded option is selected, it is not possible to use this module for a degree programme in which this module is taken into account in the overall grade calculation.
See below for explanations of this examination (graded examination option).
Portfolio consisting of per default two-weekly exercises or programming tasks and final oral exam (per default 15 minutes). The exercises are based on the content of the lecture and enable students to train and further investigate the topics. It is required that a sufficient percentage of the exercises are successfully completed (per default 50% of the total number of points which can be achieved during a semester). The final oral exam concerns both, the content of the lecture as well as the exercises.
Degree programme | Version | Profile | Recommended start 3 | Duration | Mandatory option 4 |
---|---|---|---|---|---|
Bioinformatics and Genome Research / Bachelor of Science [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 01.07.2019 und 16.08.2021] | Bachelor with One Core Subject (Academic) | 6. | one semester | Compulsory optional subject | |
Bioinformatics and Genome Research / Bachelor of Science [FsB vom 31.08.2012 mit Berichtigung vom 04.11.2013 und Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015 und 01.12.2015] | Bachelor with One Core Subject (Academic) | 6. | one semester | Compulsory optional subject | |
Bioinformatics and Genome Research / Master of Science [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 04.06.2020 und 31.03.2023] | 2. | one semester | Compulsory optional subject | ||
Bioinformatics and Genome Research / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 15.10.2014, 02.03.2015, 17.08.2015 und Berichtigungen vom 17.11.2014 und 01.12.2015] | 2. | one semester | Compulsory optional subject | ||
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 1 | 2. | one semester | Compulsory optional subject | |
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 2 | 2. | one semester | Compulsory optional subject | |
Fundamentals of Cognitive Systems / Bachelor [FsB vom 04.06.2020] | Minor Subject (Academic), 60 CPs | 6. | one semester | Compulsory optional subject | |
Informatics / Bachelor [FsB vom 04.06.2020 mit Änderung vom 15.12.2021] | Minor Subject (Academic), 60 CPs | Practical Informatics | 6. | one semester | Compulsory optional subject |
Informatics / Bachelor [FsB vom 04.06.2020 mit Änderung vom 15.12.2021] | Minor Subject (Academic), 60 CPs | Technical Informatics | 6. | one semester | Compulsory optional subject |
Informatics / Bachelor [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 15.11.2019 und 16.08.2021] | Minor Subject (Academic), 60 CPs | Practical Informatics | 6. | one semester | Compulsory optional subject |
Informatics / Bachelor [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 15.11.2019 und 16.08.2021] | Minor Subject (Academic), 60 CPs | Technical Informatics | 6. | one semester | Compulsory optional subject |
Informatics / Bachelor [FsB vom 31.08.2012 mit Berichtigung vom 04.11.2013 und Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015 und 01.12.2015] | Minor Subject (Academic), 60 CPs | 6. | one semester | Compulsory optional subject | |
Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020] | 2. | one semester | Compulsory optional subject | ||
Intelligent Systems / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015 und Berichtigung vom 17.11.2014] | 2. | one semester | Compulsory optional subject | ||
Cognitive Informatics / Bachelor of Science [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 01.07.2019 und 16.08.2021] | Bachelor with One Core Subject (Academic) | 6. | one semester | Compulsory optional subject | |
Cognitive Informatics / Bachelor of Science [FsB vom 31.08.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015, 17.08.2015 und Berichtigung vom 01.12.2015] | Bachelor with One Core Subject (Academic) | 6. | one semester | Compulsory optional subject | |
Media Informatics and Design / Bachelor of Arts | Bachelor of Science [FsB vom 31.08.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015 und 01.12.2015] | Bachelor with One Core Subject (Academic) | 4. o. 6. | one semester | Compulsory optional subject | |
Informatics for the Natural Sciences / Master of Science [FsB vom 30.09.2016 mit Berichtigung vom 10.01.2017 und Änderungen vom 15.09.2017, 02.05.2018, 04.06.2020 und 31.03.2023] | 2. | one semester | Compulsory optional subject | ||
Informatics for the Natural Sciences / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015, 01.12.2015 und Berichtigungen vom 01.04.2014, 17.11.2014 und 12.07.2017] | 2. | one semester | Compulsory optional subject |
The system can perform an automatic check for completeness for this module.
Bioinformatics and Genome Research / Master of Science
Data Science / Master of Science // Variante 1
Data Science / Master of Science // Variante 2
Fundamentals of Cognitive Systems / Bachelor: Minor Subject (Academic), 60 CPs [FsB vom 04.06.2020]
Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020]