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.

All slides from the lectures and examples are accessible through the ISIS2-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

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.

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

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

Weitere Studiengänge sind herzlich willkommen!

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.

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

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

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. 

Please ask questions via the respective ISIS2 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..

 By appointment.