PTI90070 – Artificial Intelligence

Module
Artificial Intelligence
Artificial Intelligence
Module number
PTI90070
Version: 1
Faculty
Physikalische Technik / Informatik
Level
Master
Duration
1 Semester
Semester
Summer semester
Module supervisor

Prof. Dr. Sven Hellbach
Sven.Hellbach(at)fh-zwickau.de

Lecturer(s)

Prof. Dr. Sven Hellbach
Sven.Hellbach(at)fh-zwickau.de

Course language(s)

English
in "Artificial Intelligence"

ECTS credits

5.00 credits

Workload

150 hours

Courses

4.00 SCH (1.00 SCH Internship | 3.00 SCH Lecture with integrated exercise / seminar-lecture)

Self-study time

90.00 hours
30.00 hours Self-study - Artificial Intelligence
30.00 hours Vor-/Nachbereitung - Artificial Intelligence
30.00 hours Course preparation - Artificial Intelligence

Pre-examination(s)
None
Examination(s)

alternative Prüfungsleistung - Project
Weighting: 100% | wird in englischer Sprache abgenommen
in "Artificial Intelligence"

Media type
No information
Instruction content/structure
  • Introduction to a programming language used in the field of machine learning.
  • Overview of corresponding libraries: Numerical and scientific libraries)
  • Simple learning methods
  • Evaluation measures for learning methods
  • Probabilistic Learning
  • Neural Networks: (Neuron, MultiLayer Perceptron, Backpropagation, Vector Quantizer)
  • Support Vector Machines
  • Exemplary applications
Qualification objectives

The students will receive an overview of artificial intelligence methods. The focus is on data-driven learning methods. The students should be able to create prototypical implementations with the help of a suitable programming language using appropriate libraries. The algorithms and methods presented are motivated with corresponding application examples.

Special admission requirements

keine

Recommended prerequisites
No information
Continuation options
No information
Literature
  • http://scikit-learn.org
  • Christopher M. Bishop: Pattern Recognition and Machine Learning. ISBN: 0387310738
Notes
No information