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Energy-Efficient Analog Circuits for IoT Systems
Last Updated: 2026-02-05 15:41:33
Abstract
We are facing a new era of the Internet of things, similarly indicated as Industry 4.0, TSensors, Ubiquitous or The Fog. A miniaturized computer is the key to this innovation that senses, collects and processes information from objects. In this class, based on the recent publications, energy efficient analog IC techniques will be introduced which is the main challenge to reduce the battery size.
Objective
This class introduces key analog building blocks such as energy harvester, frequency generator, data converter, sensor interface, power converter based on the recent publications for IoT systems including wearable electronics, bio-implantable devices, and environmental sensors.
Content
Ultra-low power circuit design methodology and transistor characteristics; Circuit-level design techniques for amplifier, comparator, voltage reference, on-chip oscillator, switched capacitor; IP-level design techniques for energy harvester, data converter, energy harvester and power converters.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Energy-Efficient Analog Circuits for IoT Systems |
|
2 h weekly |
| exercise |
Energy-Efficient Analog Circuits for IoT Systems
Exercises will take place mainly in Computer Room (ETZ D 61.1), watch for announcements during lectures.
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|
2 h weekly |
Offered In
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Electronics and Photonics (The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Electronics and Photonics", see . The individual study plan is subject to the tutor's approval.)
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Specialization Courses (These specialization courses are particularly recommended for the area of "Electronics and Photonics", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialization courses during the Master's Programme.)
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Major Courses (A total of 42 CP must be achieved form courses during the Master Program. The individual study plan is subject to the tutor's approval.)
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Recommended Subjects (These courses are recommended, but you are free to choose courses from any other special field. Please consult your tutor.)
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