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: 8
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)