Faculty of Health Sciences · Nutrition and Dietetics · Undergraduate
Course Objective
The aim of this course is to enable students to understand digital health and nutrition technologies; to recognize mobile applications, sensors, AI-based tools, and data analytics methods used in health and nutrition, and to develop the skills to effectively apply these technologies in individual and public health management.
Course Content
This course aims to introduce students to the definition and scope of digital health and nutrition technologies. The course covers mobile health applications, wearable devices, and sensor technologies, as well as methods for nutrition tracking and data collection. The use of artificial intelligence and machine learning in nutrition is explored, alongside telehealth and remote patient monitoring systems. Data security, privacy, and ethical considerations are emphasized. The course is designed to equip students with the knowledge and skills to effectively apply digital health technologies in nutrition education and clinical practice.
Recommended Resources
Beasley, B., & Reeves, S. (2020). Introduction to digital health course. Journal of Professional Nursing, 49, 64–69.
Harvard Online. (n.d.). Digital Health.
Course Learning Outcomes
- Defines digital health and nutrition technologies.
- Explains the use of mobile applications, sensors, and wearable devices in nutrition management.
- Interprets artificial intelligence and data analytics methods in the field of nutrition.
- Evaluates telehealth and remote monitoring systems.
- Applies and interprets digital health applications considering data security and ethical principles.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 2 | 32 |
| Out of Class Study Period | 16 | 2 | 32 |
| Midterm | 1 | 5 | 5 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 6 | 6 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Introduction to digital health and nutrition technologies | Course Notes |
| 2 | Mobile health applications and nutrition tracking | Course Notes |
| 3 | Wearable devices and sensor technologies | Course Notes |
| 4 | Artificial intelligence and machine learning applications | Course Notes |
| 5 | Telehealth and remote patient monitoring | Course Notes |
| 6 | Data security and privacy | Course Notes |
| 7 | Etik ve yasal konular | Course Notes |
| 8 | Midterm-Exam | Ders Notları |
| 9 | Evaluation of digital health applications | Course Notes |
| 10 | Digital health in clinical practice | Course Notes |
| 11 | Future trends and innovative solutions | Course Notes |
| 12 | Student presentations and project evaluation | Current Articles |
| 13 | Student presentations and project evaluation | Current Articles |
| 14 | Student presentations and project evaluation | Current Articles |
| 15 | Review | Course Notes |
| 16 | Final Exam | Course Notes |