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Laboratory Course in Automation Engineering

Module name (EN):
Name of module in study programme. It should be precise and clear.
Laboratory Course in Automation Engineering
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018
Module code: E2603
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P211-0119, P211-0120
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
8P (8 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
8
Semester: 6
Mandatory course: yes
Language of instruction:
German
Assessment:
Oral examination, practical test with term paper (10 lab experiments, no grade)

[updated 08.01.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E2603 (P211-0119, P211-0120) Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018 , semester 6, mandatory course, technical
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
120 class hours (= 90 clock hours) over a 15-week period.
The total student study time is 240 hours (equivalent to 8 ECTS credits).
There are therefore 150 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Michael Kleer
Lecturer: Prof. Dr. Michael Kleer

[updated 10.09.2018]
Learning outcomes:
After successfully completing this course, students will understand tasks from the fields of robotics, drive technology and control, microprocessor applications, operating systems and automation systems and be able to solve them independently and creatively. Our primary focus will be on the application of these skills. Students will have had the opportunity to improve their team work and self-organization skills.

[updated 08.01.2020]
Module content:
In the course of 14 lab sessions, this practical course will allow students to use the applications discussed in the following lectures: Mikroprozessoren und Anwendungen I and II, Signal- und Bildverarbeitung, Industrielle Steuerungstechnik und Regelungstechnik I and II 1. Drive control using various PLC systems 2. Image processing with industrial systems 3. Controlling robots for various tasks 4. Using a microcontroller in measurement science and control engineering. 5. Introduction to PLC technology 6. Sequence programming with S7-Graph 7. Visualization with WinCC / WinCC flexible

[updated 08.01.2020]
Teaching methods/Media:
Practical lab course

[updated 08.01.2020]
Recommended or required reading:
Berger, Hans: Automatisierung mit STEP 7 in AWL und SCL, Publicis MCD, Erlangen, (latest edition) Bode, Helmut: MATLAB in der Regelungstechnik, Teubner, Leipzig, 1998 Grupp Frieder; Grupp Florian: MATLAB für Ingenieure, Oldenbourg, München, (latest edition) Horacher, Martin: Mikrocomputer, TU Wien, 1999 Johannis, Reiner: MC-Tools 15, Feger, 1994 Klaus, Rolf: Der Mikrocontroller C167, VDF Hochschulverlag, 2000 Schneider, Ekkehard: Methoden der Automatisierung, Vieweg, Braunschweig, 1999, ISBN 978-3528065669 Schultes, Renate; Pohle, Ingo: 80C166 Mikrocontroller, Franzis, 1998, ISBN 978-3772358937

[updated 08.01.2020]
 
[Fri Dec 27 18:39:02 CET 2024, CKEY=e3E2603, BKEY=ei, CID=E2603, LANGUAGE=en, DATE=27.12.2024]