Internet of Medical Things
Biomedical Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Internet of Medical Things | BMM521 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. Faruk AKTAŞ
Research Assistant Hatice ASRİ
Learning Outcomes of the Course Unit
1) Knows fundamental concepts in the internet of medical things,
2) Gain knowledge on the current problems in the area of the internet of medical things,
3) Knows the importance of machine learning in healthcare,
4) Learns the use of big data in medical applications,
5) Develop skills to offer new solutions to the current problem areas in their specialized sub domains.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
| Learning Outcomes | ||||||||||
| 1 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Internet of Things fundamental concepts and topics, Internet of medical things trends, Wearable devices for medical applications, wearable devices for patient monitoring systems, big data in medical applications, machine learning applications in healthcare, processing of biomedical signals using machine learning, Disease detection and suggestion systems, internet of medical things and robotics, internet of medical things with tele-medicine applications, internet of medical things systems integrated into cloud systems
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
50% |
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Contribution of Final Examination to Course Grade |
50% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required