Networked Sensors

Course Description

Low-power electronic systems design, Sensors and sensor applications, Embedded networked sensors, Energy sources and power management

Learning Outcomes

  1. design low power sensor data acquisition
  2. develop battery operated low power embedded sensor systems
  3. design energy harvesting and power management for embedded networked sensors
  4. apply sensor networks in various applications

Forms of Teaching

Lectures

Interactive teaching

Independent assignments

SOTA seminar

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Seminar/Project 0 % 45 % 0 % 45 %
2. Mid Term Exam: Written 0 % 20 % 0 %
Final Exam: Oral 35 %
Exam: Written 0 % 20 %
Exam: Oral 35 %

Week by Week Schedule

  1. Low-power sensor operation
  2. Self calibaration, adaptation, Smart analog interfaces, A/D conversion
  3. Low-power IC, Low-power digital systems, Ultra low-power analog processing ans wake-up
  4. Bus interfaces, Telemetry
  5. Serial buses
  6. Wireless sensor networks
  7. Low-power communications, Wireless sensor networks
  8. Midterm exam
  9. Wireless sensor networks
  10. Power management, Energy harvesting
  11. Energy harvesting
  12. RFID systems
  13. Seminar
  14. Seminar
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (2. semester)
Communication and Space Technologies (profile)
Free Elective Courses (2. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (2. semester)
Computer Engineering (profile)
Elective Course of the profile (2. semester)
Computer Science (profile)
Free Elective Courses (2. semester)
Control Systems and Robotics (profile)
Elective Courses of the Profile (2. semester)
Data Science (profile)
Free Elective Courses (2. semester)
Electrical Power Engineering (profile)
Free Elective Courses (2. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (2. semester)
Electronic and Computer Engineering (profile)
Elective Courses of the Profile (2. semester)
Electronics (profile)
Free Elective Courses (2. semester)
Information and Communication Engineering (profile)
Elective Courses of the Profile (2. semester)
Network Science (profile)
Elective Courses of the Profile (2. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (2. semester)

Literature

Massimo Alioto (2017.), Enabling the Internet of Things, Springer
Yen Kheng Tan (2017.), Energy Harvesting Autonomous Sensor Systems, CRC Press

Associate Lecturers

For students

General

ID 223697
  Summer semester
5 ECTS
L3 English Level
L1 e-Learning
30 Lectures
5 Seminar

Grading System

90 Excellent
75 Very Good
60 Good
50 Acceptable