AI Tutorial

AI Tutorial

Gain hands-on experience with artificial intelligence: In the joint AI tutorial offered by the TFD, imes, and the Chair of Reactive Flows, students learn to apply AI-based methods specifically to engineering problems. Through concrete applications in turbomachinery, combustion processes, and mechatronics, students gain valuable skills in the practical application of various machine learning concepts.

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The AI tutorial teaches participants how to work with AI-based workflows in practice and demonstrates which methods are suitable for different tasks. Following an introduction, participants will work through application examples involving AI-assisted design of multistage turbomachines, simulation of combustion processes, and simulation of tire slip. The course consists of ten sessions, each lasting three hours, and is held in English in the CIP Pool. Python serves as the common coding language, so basic prior knowledge is required. The tutorial is aimed at bachelor’s and master’s students, is worth 1 ECTS credit, and concludes without an exam. Enrollment is limited to 30 participants.

Recommended Previous Knowledge

Basic knowledge in Python

Recommended Literature

Type of Examination

No exam

COURSE ENROLLMENT AND MATERIALS

Further information about this module can be found via the Online Course Catalogue and Stud.IP. In addition, you must also register your attendance at this course via Stud.IP.

Online Course Catalogue

HIS-LSF

own Lectures

Stud.IP

The Central Learning Management System at Leibniz University

Getting Started with Stud.IP