Computational IntelligenceA graduate course package for master students in Telematics, offered by the Institute for Theoretical Computer Science and the Institute for Signal Processing and Speech Communication.
This subject area catalog gives an introduction to the most important currently known methods to make machines "intelligent". The courses introduce the most important methods and concepts of machine learning, adaptive robots, neural networks, computational neuroscience, as well as speech and signal processing. In accompanying practice classes the methods are applied on different real world examples to deepen the knowledge and their usage.
|Content of the Catalog
The old vision of building machines that can think and learn has turned out to be much more difficult than expected a few decades ago. Nevertheless, significant progress in important subareas and applications has been made, which nowadays increasingly influences the development of new products. The relevant methods are presented in the classes of this catalog. Understanding the theoretical concepts and carrying out experiments with state-of-the-art software goes hand in hand.
Research on computation and learning in the nervous systems of biological organisms has not only inspired neural networks, but a lot of other machine learning methods and lead to the development of new paradigms for processing complex sensory data in real-time. Within this catalog, interested students can gain insight to current research topics in this exciting field, where artificial intelligence and computational neuroscience overlap. Experience is gained both in theoretical modelling and in computer simulations of neural computation and learning in living organisms.
The courses Computational Intelligence and Signal Processing are compulsory for the Telematics bachelor program. All further courses in this catalog therefore assume that students are familiar with the material covered in these lectures, especially in the areas of machine learning, neural networks, signal processing, statistics and probability calculus.
All the classes are offered in English (on demand). Therefore this course package is very suitable for international students, too.
The catalog consists of the following courses:
* Shaded areas identify the core courses which have to be selected by all students following this program.
All of the courses can be attended independently of the others (e.g. Neural Networks A is not a prerequisite for Neural Networks B). The lectures are offered in a 2-year cycle, so students can complete the whole catalog and finish their diploma thesis within 2 or 3 years. It is also possible to design an individual catalog, which best matches your interests and takes into account actually offered courses.
Characteristics of the Courses
Lectures and design practicals can not be passed only with passive learning and a final exam. Theoretical and practical exercises enable an interactive approach to the best possible understanding of the contents.During Seminar/Projects and the diploma thesis students can choose to work in a sub area of computational intelligence that is most attractive to them. They will get to know the state-of-the-art in their field and develop solutions for an individually chosen problem. The focus can be more on the theoretical or the practical side, depending on the interests of the student.
Options for the catalog "Computational Intelligence" in the master's studies (2006- 2007)
Here you find a selection of interesting diploma theses that have been finished at the Institute for Theoretical Computer Science during the last years:
A list of currently offered projects and diploma theses can be found here:
"Computational Intelligence" can be easily combined with the following catalogs, which are thematically related:
Further InformationFor further questions please contact any of the following people: