DE

Block

Seminar Data-Mining in Production [T-MACH-108737]

Type

Examination of another type

Credits

3

Recurrence

Each term

Version

1

Responsible

Prof. Dr.-Ing. Gisela Lanza

Organisation

KIT-Fakultät für Maschinenbau
Institut für Produktionstechnik

Part of

Module Seminar Module | Industrial Engineering and Management (M.Sc.)
Module Seminar Module | Industrial Engineering and Management (B.Sc.)
Module Seminar Module | Economics Engineering (M.Sc.)
Module Seminar Module | Economics Engineering (B.Sc.)
Module Seminar Module | Digital Economics (M.Sc.)

Events

Course Number	Name	SWS	Type
WS19 2151643	Seminar Data Mining in Production	2	seminar (S)
WS23 2151643	Seminar Data Mining in Production	2	seminar (S)
SS22 2151643	Seminar Data Mining in Production	2	seminar (S)
SS20 2151643	Seminar Data Mining in Production	2	seminar (S)
SS21 2151643	Seminar Data Mining in Production	2	seminar (S)
WS21 2151643	Seminar Data Mining in Production	2	seminar (S)
WS22 2151643	Seminar Data Mining in Production	2	seminar (S)
SS23 2151643	Seminar Data Mining in Production	2	seminar (S)
SS24 2151643	Seminar Data Mining in Production	2	seminar (S)
WS20 2151643	Seminar Data Mining in Production	2	seminar (S)

Exams

Course Number	Name	Appointments
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production
SS23 76-T-MACH-108737	Seminar Data-Mining in Production

Competence Certificate

alternative test achievement (graded):

written elaboration (workload of at least 80 h)
oral presentation (approx. 30 min)

Prerequisites

none

Annotation

The number of students is limited to twelve. Dates and deadlines for the seminar will be announced at https://www.wbk.kit.edu/studium-und-lehre.php.