Syllabus Application
Special Topics in CS: Internet of Things Sensing System
CS 48007
Faculty:
Faculty of Engineering and Natural Sciences
Semester:
Fall 2025-2026
Course:
Special Topics in CS: Internet of Things Sensing System - CS 48007
Classroom:
-
Level of course:
Undergraduate
Course Credits:
SU Credit:3.000, ECTS:6, Engineering:6
Prerequisites:
CS 204
Corequisites:
-
Course Type:
Lecture
Instructor(s) Information
Utku Günay Acer
- Email: utku.acer@sabanciuniv.edu
Course Information
Catalog Course Description
Introduction to the Internet of Things, Examples of mobile and embedded systems, and sensors, Sensing Pipelines, Signal Processing for sensor data, Machine Learning for sensing, System Considerations, Networking for IoT, Energy preservation, Privacy in Sensing, Embedded Sensing Architectures, On-device sensing on smartphones, Sensing with purpose-built devices on the edge, Wearable devices, Edge/Cloud Computing in Sensing, Remote inference, Offloading computations, Prominent Applications
Course Learning Outcomes:
| 1. | Students will gain an understanding of the tools used in the Internet of Things (IoT) sensing applications |
|---|---|
| 2. | Students will have the ability to explain critical trade-offs involving energy and communication on mobile and embedded systems |
| 3. | Students will demonstrate hands-on experience with sensing applications in the edge IoT settings |
Course Objective
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Course Materials
Resources:
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Technology Requirements:
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