Lecture List of the Master of Science programme in Information Technology

Pervasive Computing

Students learn the methods and technologies, making computer systems in everyday life possible. Typical challenges are about the autonomous adaptation to the environment, the efficient resource usage and the spontaneous communication. The focus lies on the understanding of the cooperation of hardware and software as well as on the practical implementation of digital signal processors and sensor networks.

Media Engineering

This module gives a broad insight into the theory and praxis of networked multimedia systems. Sample questions are: How is multimedia content efficiently compressed and transmitted? How can the quality of contents be ensured with high compression rate and data reduction? How is this content adapted to changing environment and different devices, like mobile-phone or video wall? How can important scenes in video content be found?

Intelligent Transportation Systems

Students get an overview of the principles of modern, intelligent traffic, logistic and driver assistant systems. Further, the basic aspects of modelling simulation and data acquisition are taught. Besides of software based simulations also practical laboratories and projects are carried out.

Embedded Systems and Signal Processing

Students learn the principles and concepts of modern signal processing with focus on highly integrated digital transmission systems (e.g. mobile-phones, WLAN). In laboratory exercises methods and concepts covered in the lectures are implemented and tested on hardware (FPGAs, DSPs, μCs) by students.

Mobile and Wireless Systems

This module teaches the principles and concepts of mobile and wireless communication technologies. Transmission techniques as well as network aspects are covered and accompanied by modern technologies like UMTS and WLAN.

Sensors and Actuators

Sensors and actuators are the interfaces between the physical and the electrical world. Our research covers various aspects of the measurement chain ranging from the physical sensor and actuator effects, conversion to/from electrical signals, analog signal conditioning to digital signal processing, frequently within a "smart sensor" or "smart actuator".

Control and Measurement Systems

Students learn the concepts of modern control systems starting with the fundamentals of system and control theory. Continuing lectures enable students to autonomous development of efficient control circuits. The requirements demand a consolidated knowledge in engineering (mechanics, electro-techniques, drive engineering, etc.) as well as in mathematics.<