Modul


Allgemeine Informationen
Deep Learning
Deep Learning
MADS-DL
DeepLearnC-01-MA-M
Prof. Dr. Doerfel, Stephan (stephan.doerfel@haw-kiel.de)
Prof. Dr. Doerfel, Stephan (stephan.doerfel@haw-kiel.de)
Wintersemester 2025/26
1 Semester
In der Regel jedes Semester
Englisch
Studiengänge und Art des Moduls (gemäß Prüfungsordnung)
Studiengang Vertiefungsrichtung Schwerpunkt Modulart Fachsemester
M.Sc. - DS - Data Science Pflichtmodul

Kompetenzen / Lernergebnisse
Kompetenzbereiche: Wissen und Verstehen; Einsatz, Anwendung und Erzeugung von Wissen; Kommunikation und Kooperation; Wissenschaftliches Selbstverständnis/Professionalität.
Students know
- the fundamentals of neural networks.
- the most commonly used concepts of neural network based learning.
- standard tools for deep learning.
Students are able to
- setup deep learning experiments.
- apply deep learning algorithms in practice.
- use deep learning algorithms for real-world problems.
Students are able to
- critically assess and compare the results of deep learning algorithms.
- give and accept professional feedback to different topics of deep learning.
Students are able to
- work professionally in the field of deep learning.
- select relevant scientific literature about deep learning.
Angaben zum Inhalt
Introduction to
- Artificial Intelligence
- Neural Networks
- Deep Learning
- Computer Vision

Concepts
- Perceptrons
- Multilayer Forward Networks
- Neural Networks for Classification and Regression
- Computer Vision and Convolutional Layers
- Time Series and Recurrent Neural Networks
- Transfer Learning

Applications
- Classification
- Regression
- Computer Vision
- Time Series Forecasting
- Lecture Slides
- Additional literature
- Stevens, Antiga and Viehmann: Deep Learning with PyTorch. Manning (2020).
Available online:
https://www.manning.com/books/deep-learning-with-pytorch
Lehrformen der Lehrveranstaltungen
Lehrform SWS
Lehrvortrag + Übung 4
Arbeitsaufwand
4 SWS
5,0 Leistungspunkte
48 Stunden
102 Stunden
Modulprüfung
No additional requirements
Prüfungsform Dauer Gewichtung wird angerechnet gem. § 11 Absatz 2 PVO Benotet Anmerkung
Portfolioprüfung 100 %
Sonstiges
Basic Knowledge of Python
Basic Knowledge of Machine Learning (particularly, the module MADS-ML)