Hochschule Darmstadt - Fb Informatik

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Modulbeschreibung
Module:Applied Artificial Intelligence
Module number:41.4990
Language:english
Study programme:Dualer Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
JIM 2013 - Elective Catalogue J
Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
Master 2006 - Katalog AS: Anwendungs- und systemorientierte Module
Master 2006 - Vertiefung AE: Application Engineering
Master 2006 - Vertiefung WI: Wirtschaftsinformatik
MN Data Science 2016 - Katalog M-I_I: Allgemeine Wahlpflicht Informatik
Type of course:VP = Lecture with integrated Practical
Weekly hours:6
Credit Points:9
Exam:oral exam
Registering for examexplicitly and independent of booking
Frequency of offering:each year (lastly in SS 2020)
Required knowledge:English language skills (understanding, speaking, reading, writing)
Learning objectives:The following competencies shall be established.
  • Understanding of Artificial Intelligence (AI) as a discipline
  • Ability to classify certain project requirements as AI problems
  • Ability to select AI techniques for given AI problems
  • Ability to select state-of-the-art AI technology and tools for AI techniques to be implemented
  • Ability to model and design AI solutions using state-of-the-art AI technology and tools
  • Ability to implement AI solutions using state-of-the-art AI technology and tools
Content:The following topics shall be covered.
  • Knowledge representation and ontologies
  • First-order Logic and reasoning, Probabilistic reasoning
  • AI application architecture
  • Agent technology
  • Natural language processing (NLP)
  • Information Retrieval
  • Computer Vision
  • Machine Learning
Particular focus will be on the application of AI techniques, i.e., on how to build AI applications in practice. In the laboratory, students will gain practical project experience with AI technology and tools by implementing an AI application all together as a team. The application will include all topics presented in the lectures. Different AI technologies and tools will be evaluated and compared.
Literature:Stuart Russell, Peter Norvig: "Artificial Intelligence - A Modern Approach" 3rd international edition. Pearson Education, 2010.
(German edition: "Künstliche Intelligenz - Ein moderner Ansatz", 3. aktualisierte Auflage).
Marc Watson: "Practical Artificial Intelligence Programming with Java". http://www​.markwatso​n.com/book​s/​
Lecture style / Teaching aids:Lecture with workshop character, combined with internship with own notebooks; current publications; current tools, team work, Wiki.
Responsibility:Bernhard Humm
Released:SS 2016
Offered in SS 20:Humm

[Fachbereich Informatik] [Hochschule Darmstadt]
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