Information Package / Course Catalogue
Introduction to Wearable Technologies
Course Code: MCS510
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The purpose of this course is to provide students with the necessary knowledge and skills to understand the fundamental principles, design, and applications of wearable technologies. Students will learn about the operating principles of wearable technologies, integration of sensors, energy management, data communication, and user interfaces. Additionally, they will gain knowledge about current research topics and industrial applications related to wearable technology

Course Content

Fundamental Concepts of Wearable Technologies: Definition and history of wearable technologies, Advantages and disadvantages of wearable technologies. Sensors and Data Collection: Types and features of wearable sensors, Collection, processing, and analysis of sensor data, Data condensation and compression techniques. Energy Management: Energy sources and consumption management in wearable technologies, Low-power consumption strategies, Energy-efficient components and circuit designs. Data Communication and Wireless Networks: Data communication among wearable devices, Wireless networks and protocols. Data Security and Privacy Measures. Wearable Device Design: Design process of wearable devices, Ergonomics and user experience. Material selection and manufacturing techniques. User Interfaces and Human-Computer Interaction: Wearable interface design and interaction methods. Interaction techniques such as voice, touch, motion, Data visualization and feedback mechanisms. Application Areas and Industrial Applications: Wearable technology applications in health and medicine, Sports and fitness applications, Uses in the fashion and entertainment industry. Current Research Topics and Future Trends: Current research topics in wearable technologies. Integration of artificial intelligence, Internet of Things, and big data, Future trends and innovations

Name of Lecturer(s)
Learning Outcomes
1.Understanding the fundamental principles of wearable technologies.
2.Acquiring the skills to collect, process, and analyze sensor data.
3.Understanding energy management strategies in wearable devices.
4.Ability to work with data communication and wireless networks.
5.Knowledge of user interfaces and interaction techniques.
6.Understanding the application areas of wearable technologies, such as healthcare, sports, defense, entertainment.
7.Utilizing creative thinking and problem-solving skills in wearable technology projects.
Recommended or Required Reading
1.Gupta, D., Khanna, A., Hemanth, D. J., & Khamparia, A. (Eds.). (2021). Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development. Academic Pres
2.Sazonov, E. (Ed.). (2020). Wearable Sensors: Fundamentals, implementation and applications. Academic Press.
3.McCann, J., & Bryson, D. (Eds.). (2022). Smart clothes and wearable technology. Woodhead Publishing.
4.El-Gayar, O. F., Ambati, L. S., & Nawar, N. (2020). Wearables, artificial intelligence, and the future of healthcare. In AI and Big Data’s Potential for Disruptive Innovation (pp. 104-129). IGI Global
5.Pedersen, I., & Iliadis, A. (Eds.). (2020). Embodied computing: Wearables, implantables, embeddables, ingestibles. Mit Press.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Wearable Technologies
Week 2 - Theoretical
Sensors and Data Collection
Week 3 - Theoretical
Energy Management
Week 4 - Theoretical
Data Communication and Wireless Networks
Week 5 - Theoretical
Wearable Device Design
Week 6 - Theoretical
User Interfaces and Human-Computer Interaction
Week 7 - Theoretical
Student project proposal presentations
Week 8 - Theoretical
Application Areas and Industrial Applications
Week 9 - Theoretical
Research Topics and Future Trends in Healthcare
Week 10 - Theoretical
Research Topics and Future Trends in Sports
Week 11 - Theoretical
Research Topics and Future Trends in Defense Industry
Week 12 - Theoretical
Research Topics and Future Trends in Entertainment
Week 13 - Theoretical
Research Topics and Future Trends in Robotics
Week 14 - Theoretical
Student project presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Project1%15
Midterm Examination1%10
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory143384
Project115318
Individual Work140114
Midterm Examination110313
Final Examination120323
TOTAL WORKLOAD (hours)152
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
3
4
5
3
4
5
3
4
5
OÇ-2
3
4
5
3
4
5
3
4
5
OÇ-3
4
4
4
4
4
4
4
4
4
OÇ-4
4
4
4
4
4
4
4
4
4
OÇ-5
5
5
5
5
5
5
5
5
5
OÇ-6
5
4
5
4
5
4
5
4
5
OÇ-7
4
5
4
5
4
5
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026