Lehre hoch Forschung – Problem-oriented Teaching

The main goal of the project "Lehre hoch Forschung" is to improve the study conditions and the qualitiy of teaching, as well as the early integration of research topics into the bachelor- and master programme.

Moreover, “Lehre hoch Forschung” is aimed at offering a wide scope of prospective problem-oriented and research-oriented practical courses and projects to students already during their early semesters. The students gain insights into aspects relevant to fundamental and applied research, as well as inter- and trans-disciplinary competences.

Research Practice (PdF) in the master curriculum

The objective for the master programme in computer science is to establish and to coordinate the master module "Research Practice". In this module, each student works on a research project for one year and experiences all research phases of this project. From literature research to planning and writing a project proposal, including performing research in the scope of the project and writing a publication in order to publish their results. The programme is very successful so far: Since its start, a number of papers partially or fully covering the student research projects have been successfully published.

Software Engineering Practice (PSE) in the bachelor curriculum

The objective for the bachelor programme in computer science is to establish and develop the project-oriented course "Software Engineering Practice". Students participating in the course "Software Engineering Practice" learn to perform a full software project according to the state of software engineering in a team of 5 to 6 participants. Particular goals are the practical application of procedures from software design and quality assurance, the realization of implementation competence, and the collaborative cooperation in teams.

More information on "Lehre hoch Forschung" (Press Release)
More information on the master module "Research Practice"
More information on the bachelor module "Software Engineering Practice"


Name Title Phone Email Institute
Bernhard Beckert Prof. Dr. +49 721 608 44025 beckert1902393494Xfd4∂kit.edu Theoretical Informatics (ITI)
Michael Beigl Prof. Dr. +49 721 608 41700 michael.beigl75921790Xfd4∂kit.edu Telematics (TM)
Ralf Reussner Prof. Dr. +49 721 608 45993 reussner934489262Xfd4∂kit.edu Program Structures and
Data Organization (IPD)
Gregor Snelting Prof. Dr.-Ing. +49 721 608 48350 gregor.snelting1824665929Xfd4∂kit.edu Program Structures and
Data Organization (IPD)
Matthias Budde +49 721 608 41705 matthias.budde720029078Xfd4∂kit.edu Telematics (TM)
Sarah Grebing +49 721 608 45253 sarah.grebing1993695859Xfd4∂kit.edu Theoretical Informatics (ITI)
Michael Kirsten +49 721 608 45648 kirsten1967100899Xfd4∂kit.edu Theoretical Informatics (ITI)


More on the idea and conceptual design of the master module Research Practice can be found in the following publication:

Matthias Budde, Sarah Grebing, Erik Burger, Max Kramer, Bernhard Beckert, Michael Beigl, and Ralf Reussner
Praxis der Forschung: Eine Lehrveranstaltung des forschungsnahen Lehrens und Lernens in der Informatik am KIT
Neues Handbuch Hochschullehre A 3.19
There has been a number of papers published, which are partially or fully covering the student research projects in the master module "Research Practice". They are listed on a separate page.

as part of the programme Qualitätspakt Lehre – a joint programme of the federal and state governments for better study conditions and more quality in teaching.