Smart Sensors and Systems
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Follow on Instagram for UpdatesSmart Sensors and Systems Syllabus — Unit-wise Content
The official GTU curriculum for Smart Sensors and Systems (subject code ME02062081) as prescribed for IOT · Semester 2 divides the course into 5 units, covering 45 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02062081)Unit 1 Smart Sensor Basics & Micromachining : Introduction,
- Mechanical-Electronic transitions in sensing
- nature of sensors
- integration of micromachining and microelectronics
- application examples
- Micromachining - Introduction
- bulk micromachining
- wafer bonding
- surface micromachining
- other micromachining techniques
- combining MEMS with IC fabrication
- other micro machined materials
- MEMS foundry services and software tools
Unit 2 The Nature of Semiconductor Sensor Output: Introduction,
- sensor output characteristics
- other sensing technologies
- digital output sensors
- noise/interference aspects
- low-power low-voltage sensors
- analysis of sensitivity improvement
- application example
Unit 3 Getting Sensor Information into the Microcontroller
- amplification and signal conditioning
- separate Vs integrated signal conditioning
- digital converters
- on-line tool for evaluating a sensor interface design
- application examples
Unit 4 Using MCUs/DSPs to Increase Sensor IQ: Introduction,
- MCU control
- MCUs for sensor interface
- DSP control
- techniques and systems considerations
- tools and support
- sensor integration
- application example. 7 15 5 Unit 5: Communications for Smart Sensors: Introduction
- background and definitions
- sources and standards
- automotive 9 20 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Master of Engineering Level: PG Branch: Internet of Things Subject Code : ME02062081 Subject Name : Smart Sensors and Systems w.e.f. 2024-25 https://syllabus.gtu.ac.in/ Page 3 of 3 protocols
- industrial networks
- protocols in other applications
- protocols in Silicon
- transitioning between protocols
- application example
Unit 5 Control Techniques: Introduction, state machines, fuzzy
- neural networks
- combined fuzzy logic and neural networks
- adaptive control
- other control areas
- impact of artificial intelligence
- application protocols