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    Faculty of Civil and Construction Engineering Faculty of Applied Economics (School of Management) Faculty of Electrical Engineering and Media Technology Faculty of Mechanical Engineering and Mechatronics Faculty of Natural Sciences and Industrial Engineering Faculty of Applied Healthcare Science Faculty of Computer Science Faculty European Campus Rottal-Inn Centre for Academic Further Education
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Faculty of Civil and Construction Engineering Faculty of Applied Economics (School of Management) Faculty of Electrical Engineering and Media Technology Faculty of Mechanical Engineering and Mechatronics Faculty of Natural Sciences and Industrial Engineering Faculty of Applied Healthcare Science Faculty of Computer Science Faculty European Campus Rottal-Inn Centre for Academic Further Education Offers for students Offers for lecturers and employees Miscellaneous Knowledge Management
Help Collapse Expand
Help for students Help for lecturers and employees
iLearn Support THD Services Collapse Expand
Primuss Webmail THD Website
  1. Home
  2. Courses
  3. Faculty of Natural Sciences and Industrial Engineering
  4. Master Artificial Intelligence for Smart Sensors and Actuators (Lehrstandort Cham)
  5. vorherige Semester
  6. MSS WS23/24

MSS WS23/24

MSS-M-1: Case Study Embedded Control Solutions (WS23/24)
MSS-M-1: Case Study Sensors and Actuators (WS23/24)
MSS-M-1: Data Acquisition and Control (WS23/24)
MSS-M-1: Introduction to Artificial Intelligence (WS23/24)
MSS-M-1: Machine Learning and Deep Learning (WS23/24)
MSS-M-1: Microcontroller Architectures (WS23/24)
MSS-M-1: Microsystems and Physical Cross-Coupling (WS23/24)
MSS-M-2: Algorithms of Autonomous Systems (WS23/24)
MSS-M-2: Autonomous Robotics (WS23/24)
MSS-M-2: Big Data (WS23/24)
MSS-M-2: Case Study Autonomous Systems (WS23/24)
MSS-M-2: Case Study Intelligent Systems (WS23/24)
MSS-M-2: Computer Vision (WS23/24)
MSS-M-3: Systems Design (WS23/24)
MSS-M-3: Systems Intercomnunication (WS23/24)
MSS-M: Career Start into German Technology Companies (WS23-24)
MSS-M: FWP Selection Survey (WS23/24)
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