Intelligent Systems @ UniKL

Intelligent Systems

The Intelligent Systems area at the University of Kaiserslautern offers both Bachelor and Master degrees, as well as the opportunity to earn Ph.D. degrees. This site summarizes information for students and prospective students.

Courses and Planning

This site contains informal, non-binding information about the

Plan of Study -- Intelligent Systems -- what courses are being offered for the Bachelor and Master degrees
Long Term Planning -- Intelligent Systems Courses -- when courses will be offered in the future

Please note that neither of these is authoritative and they are both subject to change. However, if you see problems with either document, please send a note to the contact person so that we can try to fix it.

Official resources:

Modulhandbuch Informatik -- the official descriptions for all courses in the department
Studiengänge / Courses of Study -- the official list of requirements for studying computer science

Contact Person and Approval / Signatures

If you have questions about any aspect of the program, please contact Thomas Breuel by sending mail to secretary@iupr.com

Generally, both Bachelor and Master students need to have their course choices approved. For approval, please drop off your planning sheet with the secretary in room 48-459; you can pick up the signed sheet within a week. If you need to talk about your course choices with the Intelligent Systems contact person (Thomas Breuel), please make an appointment with secretary@iupr.com Please allow at least a week to get an appointment.

Please remember that students are responsible for planning their course of study and making sure that all requirements and deadlines are met. The contact person (Lehrgebietsbeauftragter) only determines whether your set of courses makes sense from an academic point of view.

Research Groups

Head of Research Group	Research Topics	Research Links	Teaching Links	Modules
Prof. Dr. Thomas Breuel	Image Understanding and Pattern Recognition	Research	Teaching	Modules KIS
Prof. Dr. Andreas Dengel	Knowledge-Based Systems	Research	Teaching
Prof. Dr. Paul Lukowicz	Intelligent Embedded Systems
Prof. Dr. Didier Stricker	Augmented Reality	Research	Teaching

Presentation

2011-10 Lehrgebiet IS

Bachelor

The Bachelor in Intelligent Systems at the University of Kaiserslautern requires German language competency.

Die allgemeinen Bestimmungen für den Bachelor sind in der Bachelor Studienordnung gegeben. Für den Schwerpunkt "Intelligente Systeme" treffen die folgenden Empfehlungen und Bestimmungen zu:

Schwerpunkt

89-7001 Künstliche Intelligenz
89-7002 Lernen und Wahrnehmen
Wahlpflicht:

89-7158 Collaborative Intelligence
89-7231 Neural Systems and Self-Organization
89-7351 3D Computer Vision

Erweiterung

Prinzipiell kann jede Erweiterung mit IS kombiniert werden. Besonders empfohlen sind Kernmodule in Robotik, Theorie und Informationssystemen.

Ergänzung

Das Seminar sollte im Lehrgebiet gehört werden.

Nebenfach und Wahlvorlesungen

Für Nebenfachmodule und andere Wahlvorlesungen sind Mathematik, Psychologie, Elektrotechnik und Wirtschaftswissenschaften besonders relevant und empfohlen.

Bachelor Arbeit

Die Bachelor-Arbeit sollte in einer der Arbeitsgruppen des Lehrgebiets durchgeführt werden.

Die Kurswahl muss vom Lehrgebietsbeauftragten abgezeichnet werden (s.u.).

Master

The Master in Intelligent Systems at the University of Kaiserslautern is a two year degree program intended for preparing students for research and development in areas such as artificial intelligence, multimedia search, content analysis, data mining, web search, information extraction, and intelligent human computer interaction. The general requirements are found in the Studienplan (English translation)

For the master program, you need to cover the following courses:

Theory / Informatiktheorie. One of several computer science theory classes. The classes Stochastic Algorithms, Advanced Algorithms, and Applied Automata Theory are particularly relevant to Intelligent Systems, but you are free to choose any of the theory classes.
Concentration / Vertiefungsmodul. Here, you can choose from a wide range of classes in Intelligent Systems. Please see below for a list of choices.
Project / Projektmodul. This is a project related to Intelligent Systems. You should usually work on this project with one of the Intelligent Systems research groups. The project is intended to introduce you to research methods, and it often forms the basis for your Master thesis.
Seminar / Seminarmodul. The seminar is intended to introduce you to literature research and presentation. Often, it will consist of reviewing and critically analyzing literature related to your research interests. You should also take your seminar within the Intelligent Systems area.
Distribution / Erweiterung. These courses can be taken from any of the offerings of the computer science department. Courses in robotics, information systems, algorithms, parallel computation, and bioinformatics are directly relevant to Intelligent Systems, but you are free to choose other courses as well.
Minor / Nebenfach. In this block, you can take courses outside computer science. Recommended fields (depending on your research interests) are mathematics, electrical engineering, psychology, social sciences and economics.

Your choice of courses must be approved by the contact person (see below).

Note to foreign students: most of the Master degree courses in Intelligent System are offered in English. You can complete a degree in English only.

Ph.D.

There are many opportunities for Ph.D. studies within the Intelligent Systems area. In order to complete a Ph.D. in the department, you need to meet the academic requirements, obtain funding, and find a research group and thesis supervisor. Generally, you should get the process started by identifying a potential Ph.D. thesis supervisor within the department.

In order to get admitted to the Ph.D. program in the department, you need to meet the academic requirements. Generally, this means that you need a master degree that is comparable to a master degree from our department, although it can be in a different field from computer science. Students not meeting these requirements upon admission generally need to take some additional graduate-level courses within the department. Please discuss this with your prospective Ph.D. supervisor.

Funding for Ph.D. positions can come from a variety of sources. Most commonly, funding comes from either graduate fellowships or research project positions.

DAAD Fellowships

For foreign students, an important potential source of funding is the DAAD. We encourage students to apply for DAAD fellowships. In order to apply for a DAAD fellowship, you should find a Ph.D. supervisor within the department and work out a research proposal together. This process usually needs to start several months before the DAAD application deadline.

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