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#40139 / #6

Seit WiSe 2020/21

English

Project Lab Automation

6

Schauer, Thomas

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Energie und Automatisierungstechnik

34311800 FG Regelungssysteme (Control Systems)

No information

Kontakt


EN 11

Schauer, Thomas

schauer@control.tu-berlin.de

Learning Outcomes

While engaging in current research projects, the participants learn how to handle automation devices and techniques as well as computer-based analysis and design methods. Moreover, project management competencies are acquired.

Content

Up to four students cooperate in solving a project task that is related to current research questions of control engineering, rehabilitation robotics, or neuroprosthetics. Unlike common labs with predefined subtasks, this project lab requires each participant to assume full responsibility of the entire project and its success. The workload as well as major decisions are shared, but the project is managed by one of the group members. This is common practice in industrial team work environments. While the goals of each project are precisely described by the adviser, there are typically no predefined solution paths. All required devices, material, and data sheets are provided. In regular meetings, advice is given on how to manage the project and how to achieve the project goals.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Project Lab AutomationPJ0430 L 032WiSe/SoSeNo information4

Workload and Credit Points

Project Lab Automation (PJ):

Workload descriptionMultiplierHoursTotal
Attendance time15.04.0h60.0h
Homework (Preparation and analysis)15.08.0h120.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Project

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Scientific curiosity and pleasure in applied research. Depending on the topic of the project, the following knowledge is advantageous in individual cases: basics of control systems, C/C++, Scilab/Scicos, Python, Matlab/Simulink, visualization, biosignal processing, robotics, electronics and hardware-related programming.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
(Deliverable assessment) Documented project results80practical10 to 30 pages
(Deliverable assessment) Project presentation and discussion20oral15 minutes each

Grading scale

Notenschlüssel »Notenschlüssel 3: Fak IV (3)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt45.0pt40.0pt

Test description (Module completion)

The evaluation of the project is based on the results documented in a protocol (80 portfolio points; independent handling of a problem in the team), a fifteen minutes presentation (10 portfolio points), and a fifteen minutes oral discussion of the project outcome (10 portfolio points).

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 40.

Registration Procedures

You can register for the module examination via QisPos. Addionally, you have to fill in a form on the website at the beginning of the Semester: www.control.tu-berlin.de.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Automotive Systems (M. Sc.)210WiSe 2020/21SoSe 2024
Biomedizinische Technik (M. Sc.)113WiSe 2020/21SoSe 2024
Computer Engineering (M. Sc.)116WiSe 2020/21SoSe 2024
Elektrotechnik (M. Sc.)116WiSe 2020/21SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)18WiSe 2020/21SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information