Design of Embedded and Intelligent Systems
The course trains the students’ abilities to integrate theoretical and practical knowledge and competence relevant for research, development and engineering of embedded and intelligent systems with focus on techniques for and applications of sensor networks.
Upon completion of the course the student shall:
- In project form be able to use own specialized knowledge (e.g., on parallel programming, image analysis, embedded systems or communication technology) in cooperation with others with neighboring specialized knowledge, in order to develop sensor network applications.
- Be able to condition and combine signals from several simple sensors using basic signal processing in a microprocessor into a functionally more advanced, or qualitatively better, composed sensor.
- Manage to apply low-level programming in order to handle sensor and communication devices and to set up communication links and dialogs between programs in different processes and processors over embedded networks.
- Be able to describe and state the basics in measurement technology, sensors, signal conditioning, filtering and related electronics.
- Be able to describe and demonstrate how one with use of signal processing algorithms can create more advanced and integrated sensors and how one can aggregate, detect and separate discrepancies from base information by use of distributed network connected sensors and model based analysis.
- Be able to constructively participate in advanced system development work in project form.
- Be able to describe as well as demonstrate skill in requirement analysis, modeling, engineering, integration and optimization to develop system application with typical embedded application constraints.
General entry requirements for studies at third cycle level in engineering or science including 15 credits of programming, artificial intelligence or mathematics at second level.
Language of instruction:
Teaching is in English.