Stud.IP Uni Oldenburg
University of Oldenburg
25.02.2020 08:45:24
inf208 - Microrobotics and Microsystems Technology (Course overview)
Department of Computing Science 6 KP
Module responsibility
  • Sergej Fatikow
Authorized examiners
  • Sergej Fatikow
  • Die im Modul Lehrenden
module components Semester courses Sommersemester 2020 Examination
Lecture
Exercises
Notes for the module
Reference text
Associated with the modules:
Embedded Systems and Microrobotics
Time of examination
At the end of the semester
Module examination
Oral exam in German
Skills to be acquired in this module
Within the last few years, microrobotics and microsystem technology (MST) have become a focus of interest to industry and evolved into an important field with great application potential. It plays a decisive role for industry to be competitive in many areas such as medicine, production engineering, biotechnology, environmental technology, automotive products, etc. Despite of the growing interest in this new technology, there is hardly any book or lecture course that treats microrobotics and MST in a coherent and comprehensive way. This course is an attempt of the Microrobotics and Control Engineering Division (AMiR) to give students a systematic introduction to microrobotics and MST. It discusses all important aspects of this rapidly expanding technology, its diversity of products and fields of application. The course contains an overview of numerous ideas of new devices and the problems of manufacturing them.

Professional competence:
The students:
  • name the ideas, challenges and activities of microrobotics and microsystem technology
  • describe the microrobotics and MST applications
  • characterise MST methods
  • name microsensor functionality
  • characterise microsensor examples
  • discuss MST terms of information technology
  • classify microrobotics


Methodological competence
The students:
  • discover interdisciplinary connections and links between scientific and technical fields of research and development
  • learn technical abstraction of complex contexts


Social competence
The students:
  • solving problems partially as group
  • present their solutions and approaches to the group


Self-competence
The students:
  • reflect their knowledge of technical computer science
  • learn to expand on their professional competence independently