uni.liVeranstaltungen

5709674: C19 Artificial Intelligence and Deep Learning

zurück zur Übersicht
Semester:SS 24
Art:Modul
ECTS-Credits:3.0
Plansemester:2
Lektionen / Semester:30.0 L / 22.5 h
Selbststudium:67.5 h

Modulleitung/Dozierende

Studiengang

Masterstudium Wirtschaftsinformatik (01.09.2019)

Beschreibung

Artificial Intelligence and Deep Learning covers the basics of artificial intelligence and deep learning and recent technological trends. The course covers five primary topics:

• Fundamentals of artificial intelligence
• Fundamentals of deep learning, network design, and training
• Convolutional neural networks, illustrated through image recognition
• Recurrent neural networks, illustrated through text mining
• Deep reinforcement learning – Learning to play games and beyond: Google’s AlphaGo

Lernergebnisse

After successful completion of the course, students will

Professional competence
• understand the basic concepts and methods of artificial intelligence and deep learning
• be able to identify suitable applications for artificial intelligence and deep learning

Methodological competence
• select, use, and adjust existing models and methods for a given task or data set

Personal competence
• critically reflect on analytical outcomes
• be able to improve and mitigate self-inflicted errors

Technological competence
• be able to use a deep learning framework such as Keras

Kompetenzen

Lehrmethoden

• The course involves interactive lectures with exercises to integrate theoretical knowledge with practical design and analysis skills.

Voraussetzungen (inhaltlich)

• Students should attend the Data Science course, which is held concurrently in the same semester.

Literatur

• Russel, S., & Norvig, P. (2009). Artificial Intelligence: A Modern Approach (3rd ed.). Harlow, UK: Pearson.
• Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. Cambridge, MA: The MIT Press.

Prüfungsmodalitäten

Written exam (60min)