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#robotics #smartsensors #smartactuators #AI #artificialintelligence #machinelearning
#dataanalysis #systemdesign #bigdata #deeplearning #autonomoussystems #innovative #englishpostgraduateprogramme
As an undergraduate student of mechatronics or other related fields of study, the consecutive master's programme "Artificial Intelligence for Smart Sensors and Actuators" qualifies you as experts for the development and use of intelligent, technical systems of data processing, data analysis and automation. The knowledge transfer on study contents including artificial intelligence, machine learning, innovative sensors/actuators, additionally endows prospective students with the competence to work creatively in research and development departments.
Duration: 3 semesters (1.5 years)
Start: March (summer semester)
Course language: English
Fees: No tuition fees, only €62 student services fee per semester
The command of intelligent sensor and actuator systems requires scientific-technical expert training tailored to current thematic challenges. Within three study semesters, these challenges are to be met by the structured and intensified knowledge transfer of the following topics:
The practical relevance of the course content is implemented through case studies conducted in collaboration with industrial experts.
The Technology Campus Cham (focusing on research & development in mechatronic systems) as well as the Digital Start-Up Centre (majoring in Digital Production) are directly located on Cham campus. They provide a specialised and application-oriented environment for highly innovative training concepts.
Artificial Intelligence (AI) describes a sub-discipline of computer science that deals with the research of "intelligent" problem-solving behaviour and the creation of "intelligent" computer systems. In a multitude of technical fields of application, AI-based systems are fed by sensor data and return process-influencing information to actuators. The interactions between information processing, the process as data source and data sink as well as the influences of the quality of the sensor data and the actuator interventions are equally decisive for the overall system function of the systems. In addition to the actual measuring principle for the respective process variable, a smart sensor also features signal pre-processing, monitoring algorithms for safeguarding the sensor function, connectivity (e.g. Bluetooth, WIFI, 5G) and, depending on the application, power supply functions. Smart actuators also supplement the actual control intervention in the technical process with extended signal processing and monitoring mechanisms as well as various communication methods. The resulting signal-processing system features additional "intelligent" properties that further enhance its performance.
After successfully graduating from this study course, you will have all the qualifications required to establish yourself as an expert in this transitioning professional world and to participate actively in its development.
Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the postgraduate programme Artificial Intelligence for Smart Sensors and Actuators.
|Introduction to Artificial Intelligence||2||2|
|Machine Learning and Deep Learning||4||4|
|Microsystems and Physical Cross-Coupling||4||4|
|Data Acquisition and Control||2||2|
|Case Study Sensors and Actuators||4||6|
|Modell-Based Function Engineering||4||4|
|Case Study Embedded Control Solutions||4||6|
|Case Study Intelligent Systems||4||6|
|Algorithms of Autonomous Systems||4||4|
|Case Study Autonomous Systems||4||6|
|Compulsory Technical Elective (FWP)||4||4|