direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Introduction to Engineering Data Analytics with R

Lupe

Attention:

Due to the current situation, the lecture and exercise will be held online

Short title: IDA

Big Data is currently one of the most important topics in science and research. The preparation, processing and analysis of large and inhomogeneous amounts of data from diverse data sources is playing an increasingly important role in the everyday life of engineers. The ability to filter and process these gigantic amounts of data, to carry out the required analyses and to document the findings accordingly are the basic prerequisites for a successful engineer. In the lecture "Introduction to Engineering Data Analytics with R", the data analysis process from data import to finished documentation is performed by using the R programming language  in the RStudio development environment.

Main Topics

The course ist structured in:

Datum
VL Nr.
Thema
16.04.2021
VL 1
Introduction to Quality Data & Engineering with R
23.04.2021
VL 2
Import 1
30.04.2021
VL 3
Import 2
07.05.2021
VL 4
Tidy
14.05.2021
VL 5
Transform
21.05.2021
VL 6
Joining
28.05.2021
VL 7
Programming
04.06.2021
VL 8
ggplot2
11.06.2021
VL 9
Plotly
18.06.2021
VL 10
Shiny Introduction
25.06.2021
VL 11
Shiny Advanced Styling
02.07.2021
VL 12
Model Data 1
09.07.2021
VL 13
Model Data 2
16.07.2021
VL 14
Case Study

All slides from the lectures and examples are accessible through the ISIS-Plattform.

The programming language R will be practiced in online tutorials provided by DataCamp. The students will get free access to the courdes on DataCamp. For more Information feel free to visit: DataCamp

Main Focus

After completing the course, participants will be able to independently perform data analyses in the R programming language in the RStudio development environment using statistical methods, interpret the results and document them. Furthermore, the students are able to prepare the results of their projects and to present and defend them under practical conditions.

Structur

The course consists of 2 parts: The weekly lecture and the online tutorials.

Restriction of participation: The course capacity is limited to 300 students.

 

For information about registering see "Registration"

ECTS / Credit Points: 6

Target Audience

Informationstechnik im Maschinenwesen (B. Sc.), Maschinenbau (B. Sc.), Physikalische Ingenieurwissenschaften (B. Sc.), Verkehrswesen (B. Sc.) ,Wirtschaftsingenieurwesen (B. Sc.).

Weitere Studiengänge sind herzlich willkommen!

Desirable Requirements

Basic knowledge of statistical software (R or Python), as well as basic knowledge of mathematics and probability calculus (in each case Abitur knowledge) are desirable, but not mandatory.

Evaluation

The type of examination of this course is "Portfolioprüfung".

For this purpose, the partial performances listed below must be completed with appropriate weighting.

Scoring system
Partial performances
Punkte
Completing the online tutorials
40 von 100
Completing the case study
60 von 100

Registration for Examination

For registering for the examination please visit QISPOS.

Is a registriation over QISPOS not available students have have to register at the responsible examination office. 

Schedule

Deadline for Registration
Registration for the lecture 
Registration via ISIS until 16.04.2021. A maximun of 300 Students can participate in the Module.
Registartion for the examination
within the first 6 weeks
Lecture
Class Period: 
16.04.2021 - 16.07.2021
Zoom Webinar
tu-berlin.zoom.us/j/67479865722 Webinar-ID: 674 7986 5722
Kenncode: 045774
Room & Time:
Friday 10.00-12.00 Uhr (Online Lecture & Exercise)
Date of submission for the documentation and code of the case study
Date of submission:  
30.08.2021                  

 

 

Contact and Feedback

Please ask questions via the respective ISIS forum or consult the FAQ.
In exceptional cases, inquiries can be sent directly to the respective contact person via mail (contact form). Telephone consultation is only possible during office hours.

For suggestions please use the feedback funktion of our department..

 

 

Office Hours

During the Semester from 19.04.2021 to 16.08.2021:

Mondays from 3 to 4 pm via Zoom

Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe

Verantwortlicher

Prof. Dr.-Ing. Roland Jochem
Leiter des Fachgebiets
Fachgebiet Qualitätswissenschaft
Institut für Werkzeugmaschinen und Fabrikbetrieb IWF
Fakultät V
Sekr. PTZ 3
Produktionstechnisches Zentrum (PTZ)
Pascalstr. 8-9
10587 Berlin
fon: +49 (0) 30 / 314 22005
fax: +49 (0) 30 / 314 79685

Ansprechpartner

Ingo Dietz von Bayer, M. Sc.
Wissenschaftlicher Mitarbeiter
Fachgebiet Qualitätswissenschaft
Institut für Werkzeugmaschinen und Fabrikbetrieb
Fakultät V
Sekr. PTZ 3
Produktionstechnisches Zentrum (PTZ)
Raum 433
Pascalstr. 8-9
10587 Berlin
+49 (0) 30 / 314 73582
Lupe

Ansprechpartner

Robert Trevino, M. Sc.
Wissenschaftlicher Mitarbeiter
Fachgebiet Qualitätswissenschaft
Institut für Werkzeugmaschinen und Fabrikbetrieb
Fakultät V
Sekr. PTZ3
Produktionstechnisches Zentrum (PTZ)
Raum 431
Pascalstr. 8-9
10587 Berlin
+49 (0)30 / 314 21083