Jochen L. Cremer

Jochen L. Cremer

he/him

Electrical Power Engineer with Computer Science Expertise, PhD Imperial College London, MSc BSc BSc RWTH Aachen University

Teaching

SET3125: Machine Learning Workflows for Digital Energy Systems

Graduate course, TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, 2024

SET3125 is a graduate-level course offered to MSc students at TU Delft, focusing on the fundamentals of machine learning and its applications in sustainable energy systems, with an emphasis on digital technologies. The course provides a foundation for further studies in digital energy technologies and machine learning, and prepares students for thesis work involving artificial intelligence.

EE4C12: Machine Learning for Electrical Engineering

Graduate course, TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, 2024

EE4C12 is a graduate-level course designed for MSc students in Electrical Engineering at TU Delft. This course provides a comprehensive introduction to machine learning concepts, with a focus on applications relevant to electrical and energy systems. Students will gain theoretical knowledge and hands-on experience, equipping them to apply machine learning techniques effectively in real-world problems.

EEX01: Introduction to Machine Learning

Undergraduate course, TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, 2024

EEX01 is an undergraduate elective course designed for 2nd (or 3rd) year BSc Electrical Engineering students at TU Delft. The course introduces the fundamentals of machine learning (ML) tailored for electrical engineering applications. Students will gain both theoretical knowledge and practical skills to design and implement ML algorithms using Python.