Office Hours:
Research-Related Internship
(for Applied Computer Science and Applied Data Science)
Courses for students of "Applied Computer Science" and "Applied Data Science"
Module B.Inf.1839: Advanced Research Training - Data Science (6 Credits)
Acquisition of competencies in Business Information Systems through the application of Data Science methods within the framework of a research project.
The internship is located in one of the research groups of Applied Computer Science. The content results from the current research topics of the respective research group.
Internship report in which the assignment, the methods used, and the results are adequately presented. (max. 15 pages, ungraded)
Module B.Inf.1810: Applied Computer Science in a Research-Related Internship (5 Credits)
Acquisition of competencies in the application of methods of applied computer science within the framework of a research project in the field of applied computer science.
The internship is home to one of the research groups of applied computer science. The content results from the current research topics of the respective work group.
Internship report in which the task, the methods used, and the results are presented appropriately. (max. 10 pages, ungraded)
Module B.Inf.1811: Advanced Applied Computer Science in a Research-Related Internship (10 Credits)
Acquisition of in-depth competencies in the application of methods of applied computer science within the framework of a research project in the field of applied computer science.
The internship is home to one of the research groups of applied computer science. The content results from the current research topics of the respective work group.
Internship report in which the task, the methods used, and the results are presented appropriately. (max. 20 pages, ungraded)
Organization
No topics are published for the modules "Applied Computer Science in a Research-Related Internship (B.Inf.1810)" and "Advanced Applied Computer Science in a Research-Related Internship (B.Inf.1811)". If you would like to take this course, contact the academic staff directly. Your own suggestions for topics related to the research interests of the chair/academic staff are welcome. Otherwise, a topic will be supplied by the supervisor.
Contact:
Chair of Application Systems and E-Business
M.Sc. in Wirtschaftsinformatik
Lars Wilhelmi
Platz der Göttinger Sieben 5
37073 Göttingen
Tel. 0551 39-24479
lars.wilhelmi@uni-goettingen.de
by appointment (Room: MZG 5.121)
