Kursinformation

Please note that the number of participants for this block seminar is limited!

For the participation in the course a pre-registration by e-mail is necessary. Please send it with your first and last name, course of studies, matriculation number and number of semesters until 09.11.2023 to:

Steven Görlich: steven.goerlich@uni-kassel.de

Group applications will not be considered. Confirmation of participation will be announced until 10.11.2023.

Contact:

Steven Görlich

Chair of Digital Transformation Management
Henschelstraße 2
34127 Kassel

steven.goerlich@uni-kassel.de

The examination consists of an application development, a short paper (max. 8000 words) and a presentation. The work is done in groups of three.

This seminar is concerned with recent topics in Machine Learning and Big Data Analytics. You will learn about the conceptual foundations of Machine Learning in the context of digital transformation as well as the fundamentals of statistical learning theory. Furthermore, you will become acquainted with important concepts and approaches such as (un-)supervised learning algorithms, automated image/text analysis, reinforcement learning, memory learning and distributed/real-time data analytics. Within your group, you will then deal with a specific challenging and relevant topic related to the practical use of Machine Learning. You will be provided with data and tasked to develop an application yourself. Therefore, this seminar will help you to deepen your understanding about Machine Learning and Big Data Analytics from a conceptual, theoretical and practical perspective.