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TU Berlin

Page Content

Lupe
Lupe

Content

  • Databases
  • Networks
  • Development methodology

  • Communication technology
  • Knowledge and project management
  • Simultaneous und Concurrent Engineering
  • Systems for Product Data Management
  • Enterprise Resource Planning (ERP)
  • Enterprise Application Integration (EAI)

Objectives

Students shall learn to evaluate potentials and techniques of information technical solutions in industrial environment and to use them goal-oriented. Referring to this the course offers an overview of application-specific purpose of data processing techniques for the solution of engineering activities. Further on theoretical and practical knowledge for enterprise-wide integration of processes along the value chain are provided.

Target audience

Suitable courses of study:
- machine engineering and production technology
- information techniques in engineering industry
- engineering economics
- Physical engineering sciences
The module is free for all listeners.

Requirements:

obligatory:
none

preferable:
Knowledge about the system landscape of product engineering process in companies.

Extent

Modulecomponents
Kind
SWS
LP(ECTS)
lecture
2
3
tutorial
2
3

Effort and performance points(LP):

Lecture: 30h presence, 30h pre- and postprocessing, 30h preprocessing for exam

Tutorial/Project: 30h presence, 60h pre- and postprocessing

Overall performance points: 180h = 6LP (1 LP equals 30 working hours)

Application

Registration for tutorials (via ISIS):

Link to ISIS Course: follows

Registration for exam (via QISPOS):

until 31.05.2019

 

 

Lecture

Time:

Tuesday, 10:00-12:00 o'clock

Start: follows

End: follows

Location:

PTZ S001

Tutorial

Time:

See course description in ISIS.

Location:

VELC PTZ 514

Exam

portfolio exam

  • 1x written exam (50%)
  • 1x tutorial (50%)

written exam

Date (Summer 2019): 15.07.2019, Start: 08:30 a.m.

Location: H 104

Date (Winter 2018/19): follows

Location: follows

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Lecturer

Prof. Dr.-Ing. R. Stark
Phone: +49 (0)30 314 25414
Room PTZ 502

Contact person (BIIT)

M.Sc. Lisa Hagedorn
Tel: +49 (0)30 39006 387
Room PTZ 562