Module 39-Inf-NN Introduction to Neural Networks

Faculty

Person responsible for module

Regular cycle (beginning)

Every summer semester

Credit points and duration

5 Credit points

For information on the duration of the modul, refer to the courses of study in which the module is used.

Competencies

Upon completion of the modules, participants should be able to assess the effectiveness of the methods discussed and apply them successfully to problems in various application domains.

Content of teaching

This module provides an understanding of the fundamental concepts of neural information processing. Building on models of information processing in biological neural networks, it presents the theoretical foundations and learning methods of artificial neural networks. In practical tutorials, students consolidate what they have learnt and apply it in a programming context with support from neural network simulators.

Recommended previous knowledge

This module builds on the relevant skills taught in modules 39-Inf-ML. It is therefore strongly recommended that you complete this module, or an equivalent one, beforehand.

Necessary requirements

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Explanation regarding the elements of the module

Module structure: 1 bPr 1

Courses

Neural Networks and Learning I
Type lecture
Regular cycle SoSe
Workload5 60 h (30 + 30)
LP 2
Neural Networks and Learning I
Type exercise
Regular cycle SoSe
Workload5 60 h (30 + 30)
LP 2

Examinations

portfolio with final oral examination o. portfolio with final written examination
Allocated examiner Person responsible for module is examiner
Weighting 1
Workload 30h
LP2 1

Portfolio with final assessment comprising:
1) Portfolio of tutorials relating to the lecture content
Tutorials or programming tasks set in connection with the course (pass mark: 50% of the available marks). The assessment of the tutorials also includes direct questions regarding the solution approaches, which students must answer during the tutorials. The teaching staff may require students to explain and demonstrate their work individually, and may replace some of the tutorials with in-person sessions. The exercise tasks included in the portfolio are usually set on a weekly basis and are designed to support students’ independent application of the course content presented in the lecture.

2) A final examination on the lecture
The final examination on the lecture content relates to the tutorial or programming tasks or builds on the skills learnt in the tutorials.
Further details, particularly regarding the duration of the final examination, are provided in the course description.

Final written examination (lasting 90–180 minutes) or final oral examination (lasting 20–40 minutes) covering the content taught in the lecture and developed in the tutorials (in connection with lecture/seminar).

Alternatively, the written examination may be conducted as an e-exam, an open-book exam or an e-open-book exam. In the case of an open-book written examination and an e-open-book written examination, the duration is 120–180 minutes.

Both portfolio elements are assessed by one examiner. A final overall mark is awarded.

The module is used in these degree programmes:

Degree programme Version Profile Recom­mended start 3 Duration Manda­tory option 4
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. 1 semes­ter Compul­sory optional subject
Data Science / Master of Science [FsB vom 01.04.2026 mit Berichtigung vom 03.08.2026] Variante 1 2. 1 semes­ter Compul­sory optional subject
Data Science / Master of Science [FsB vom 01.04.2026 mit Berichtigung vom 03.08.2026] Variante 2 2. 1 semes­ter Compul­sory optional subject
Fundamentals of Cognitive Systems / Bachelor [FsB vom 16.05.2023 mit Änderung vom 01.09.2026] Minor Subject (Academic), 60 CPs 4. o. 6. 1 semes­ter Obli­gation
Fundamentals of Cognitive Systems / Bachelor [FsB vom 04.06.2020] Minor Subject (Academic), 60 CPs 4. 1 semes­ter Obli­gation
Informatics / Bachelor [FsB vom 01.04.2025 mit Berichtigung vom 01.08.2025] Minor Subject (Academic), 60 CPs 4. o. 6. 1 semes­ter Compul­sory optional subject
Informatics / Bachelor [FsB vom 16.05.2023 mit Änderung vom 01.08.2023] Minor Subject (Academic), 60 CPs Practical Informatics 4. o. 6. 1 semes­ter Compul­sory optional subject
Informatics / Bachelor [FsB vom 16.05.2023 mit Änderung vom 01.08.2023] Minor Subject (Academic), 60 CPs Technical Informatics 4. o. 6. 1 semes­ter Compul­sory optional subject
Informatics / Bachelor of Science [FsB vom 04.06.2020 mit Änderung vom 15.12.2021] Major Subject (Academic) Technical Informatics 4. 1 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. 1 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. 1 semes­ter Compul­sory optional subject
Artificial Intelligence and Cognitive Informatics / Bachelor of Science [FsB vom 16.05.2023 mit Änderung vom 01.04.2025] Bachelor with One Core Subject (Academic) 4. o. 6. 1 semes­ter Obli­gation
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. 1 semes­ter Compul­sory optional subject

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Previus version of this module

Legend

1
The module structure displays the required number of study requirements and examinations.
2
LP is the short form for credit points.
3
The figures in this column are the specialist semesters in which it is recommended to start the module. Depending on the individual study schedule, entirely different courses of study are possible and advisable.
4
Explanations on mandatory option: "Obligation" means: This module is mandatory for the course of the studies; "Optional obligation" means: This module belongs to a number of modules available for selection under certain circumstances. This is more precisely regulated by the "Subject-specific regulations" (see navigation).
5
Workload (contact time + self-study)
SoSe
Summer semester
WiSe
Winter semester
SL
study requirement
Pr
Examination
bPr
Number of examinations with grades
uPr
Number of examinations without grades
This academic achievement can be reported and recognised.
Non-official translation of the module descriptions. Only the German version is legally binding.