WiMb21NT108 wtm2 1 SU 0 PA 6 1 no German Project work WiMb19NT108 Industrial Engineering 1 optional course WiMb21NT108 Industrial Engineering 1 optional course WiMb21NT108 Industrial Engineering 1 optional course 15 class hours (= 11.25 clock hours) over a 15-week period.The total student study time is 180 hours (equivalent to 6 ECTS credits).There are therefore 168.75 hours available for class preparation and follow-up work and exam preparation. Prof. Dr. Frank Kneip fkn Prof. Dr. Frank Kneip fkn • After successfully completing this moduel, students will be familiar with machine learning and identification. • They will have in-depth knowledge about parameter and state estimation procedures. • They will be able to determine states of a system (e.g. a technical machine or an economic system) and/or its parameterization uisng the available data sets. • Linear regression • Iterative methods • Parameter identification method • State estimates of a dynamic system • Lecture introduction to machine learning and identification (esp. state and parameter estimation) • Independent project work/case studies under supervision • Discussions between students and lecturers • The results of the students’ project work must be documented in a suitable form (written paper and presentation). • Will be announced at the beginning of the module. Thu Apr 16 19:07:24 CEST 2026, CKEY=wmlui, BKEY=wtm2, CID=[?], LANGUAGE=en, DATE=16.04.2026