INTERNET OF THINGS

TBS420

Course Code: TBS420
Semester: -
Theory+Practice: 3 + 0
ECTS: 5

Course Type

Elective Course

Course Level

Bachelor's Degree

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Know the basic concepts and definitions related to Internet of Things (IoT), as well as its personal and industrial application areas.
Understand IoT architecture and components, platforms used for IoT, and communication protocols.
Become familiar with IoT communication protocols.
Design, develop, test, and deploy an IoT application architecture.
Understand machine learning and deep learning applications within IoT.
Recognize security methods, techniques, and tools used in IoT applications.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

This course aims to equip students with the skills needed to understand IoT (Internet of Things) approaches and to develop the necessary hardware and software for IoT projects. The course will cover IoT business models, connectivity and communication protocols (such as RESTful, CoAP, MQTT, DDS, AMQP), big data processing, architectural design components, and IoT software development technologies like RFID, NFC, BLE Beacon, WSN, and GSM.

Course Contents

WEEK	TOPICS
1^st Week	Introduction to the course and objectives, concepts, and definitions related to IoT, application areas
2^nd Week	Overview of IoT architecture and components, platforms used for IoT, and communication protocols
3^rd Week	Design of an architectural structure for IoT applications, setting up the application development platform, and integration issues with other systems
4^th Week	IoT communication protocols (RESTful, CoAP, MQTT, DDS, AMQP) and technologies used in IoT software development such as RFID, NFC, BLE Beacon, WSN, and GSM
5^th Week	Design and development of IoT applications
6^th Week	Design and development of IoT applications
7^th Week	Testing, deployment, and maintenance of IoT applications
8^th Week	Midterm exam
9^th Week	Storage, integrity control, processing, and analysis of IoT data
10^th Week	IoT and artificial intelligence applications (machine learning, deep learning)
11^th Week	Security in IoT applications: methods, techniques, and tools used
12^th Week	Cloud computing and Edge applications with IoT
13^th Week	Research tasks and presentations
14^th Week	Term project presentations and evaluation

Recommended or Required Reading

Misra, S., Mukherjee, A., & Roy, A. (2021). Introduction to IoT. Cambridge University Press.

Vuppalapati, C. (2020). Building enterprise IoT applications. CRS Press.

Chakravarthi, V. S. (2021). Internet of Things and M2M communication technologies: Architecture and practical design approach to IoT in Industry 4.0. Springer.

James, A., Seth, A. V., & Mukhopadhyay, S. C. (2022). IoT system design: Project-based approach. Springer.

Madhumathy, P. M., Vinoth, K., & Umamaheswari, R. (2022). Machine learning and IoT for intelligent systems and smart applications. CRS Press.

Nayak, P., Ray, N., & Ravichandran. (2022). IoT applications, security threats, and countermeasures. CRS Press.

Nayak, P., Ray, N., & Ravichandran. (2022). Industrial IoT application architectures. CRS Press.

Peng, S.-L., Pal, S., & Huang, L. (2020). Principles of Internet of Things (IoT) ecosystem: Insight paradigm. Springer.

Planned Learning Activities and Teaching Methods

Lecture
Questions/Answers
Grup Projectsi

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	40
Project	1	30
Total(%)		70
Contribution of In-term Studies to Overall Grade(%)		70
Contribution of Final Examination to Overall Grade(%)		30
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	1.5	1.5
Preparation for Quiz
Individual or group work	14	1	14
Preparation for Final exam	1	22	22
Course hours	13	3	39
Preparation for Midterm exam	1	14	14
Laboratory (including preparation)
Final exam	1	1.5	1.5
Homework
Presentation (including preperation)	1	3	3
Project	1	24	24
Report writing	1	23	23
Total Work Load			142
Total Work Load / 30 (h)			4.73
ECTS Credit of the Course			5

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5	LO6
K1
K2					X
K3		X	X	X	X	X
K4
K5				X
K6
K7	X
K8						X
K9
K10
K11