ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Computer Programming (Evening Education) | |||||
| Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 | ||
Course Introduction and Application Information
| Course Code: | UNI326 | ||||
| Course Name: | Digital Technologies in Health | ||||
| Semester: |
Fall Spring |
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| Course Credits: |
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| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | University Elective | ||||
| Course Level: |
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| Mode of Delivery: | E-Learning | ||||
| Course Coordinator: | Dr. Öğr. Üy. FATMA NUR ÇİÇİN | ||||
| Course Lecturer(s): | Dr.Öğr.Üyesi Fatma Nur ÇİÇİN | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | The aim of this course is for students to gain fundamental knowledge about artificial intelligence and digital technologies in health sciences. The course covers various digital health technologies, from health informatics systems and AI applications to mobile health solutions and big data analytics, offering students the opportunity to understand the digital transformation of modern healthcare. Additionally, students will learn about critical topics such as accessibility, data security, and ethical issues in digital health technologies, developing the knowledge and skills necessary to implement these technologies effectively and safely. |
| Course Content: | The course focuses on the use of digital technologies in the healthcare sector. It begins by covering the fundamentals of health informatics systems, digital transformation, and innovation processes. In this context, students will learn about telemedicine and telehealth applications, gaining an understanding of the role of mobile health and wearable technologies in healthcare services. Students will acquire knowledge about advanced digital technologies such as big data analytics and AI applications, exploring the solutions these technologies offer in the healthcare field. In the later stages, the course will cover the use of robotic systems and automation technologies with examples from healthcare services, as well as data security and privacy issues. During this process, students will analyze digital health policies at both national and international levels, assessing their impact on healthcare systems. Additionally, the course will focus on accessibility and universal design principles, emphasizing how digital health services can be made accessible to all individuals. In the final sections, interactions with emerging technologies like virtual reality (VR) and augmented reality (AR) will be discussed, and their applications in healthcare will be explored. The course will conclude with student project presentations and a comprehensive evaluation. |
Learning Outcomes
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The students who have succeeded in this course;
1) Will be able to work on digital technologies and Artificial Intelligence in health care can express/explain basic knowledge orally/written. 2) Learns how digital transformation and innovation processes in healthcare contribute to the quality and efficiency of healthcare services. 3) Understands how telemedicine and telehealth technologies work and their importance in providing remote healthcare services to patients. 4) Understands the role of mobile health applications and wearable devices in health monitoring and management, and can evaluate these technologies. 5) Technological solution in health care issues with entrepreneurial spirit. develop and implement recommendations. 6) There is a relationship between the concepts of technology, innovation and entrepreneurship. compare/contrast the connections/similarities and differences can explain. 7) Have the necessary equipment for technology-based projects students bring their ideas to life with innovative and entrepreneurial spirit List/group the basic steps to be able to pass the ethical and legal issues. 8) Have knowledge about Ethical and Legal Issues and to be able to make evaluation, 9) Communication and Collaboration in Health Services 10) Assessment of New Trends and Future Perspectives will be able to do it. |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Introduction and Course Introduction | |
| 2) | Overview of Digital Health Technologies | |
| 3) | Electronic Health Records (EHR/EMR) | |
| 4) | Telemedicine and Remote Healthcare Services | |
| 5) | Wearable Technologies in Healthcare | |
| 6) | Mobile Health (m-Health) Applications | |
| 7) | Health Information Systems | |
| 8) | Midterm week | |
| 9) | Artificial intelligence applications in health | |
| 10) | Blockchain and Health Data Security | |
| 11) | Virtual and Augmented Reality (VR/AR) Applications | |
| 12) | Digital Technologies and Ethics in Healthcare | |
| 13) | The Future of Digital Health Technologies | |
| 14) | Final week |
Sources
| Course Notes / Textbooks: | Ders notları kullanılacak * Ders kitabı zorunlu değil |
| References: | 1. Mendi, B. (2023). Sağlık Bilişimi ve Güncel Uygulamalar, Nobel Tıp Kitapevi. 2. Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-. 3. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4), 230-243. 4. Terry, N. P. (2017). Healthcare and Artificial Intelligence: Legal, Ethical, and Regulatory Perspectives. Harvard University Press. 5. Rivas, H. & Wac, K. (2018). Digital Health: Scaling Healthcare to the World. Springer. 6. Digital Transformation: Build Your Organization's Future for the Innovation Age" - Lindsay Herbert 7. "Healthcare Disrupted: Next Generation Business Models and Strategies" - Jeff Elton, Anne 'Riordan 8. Sağlık Bilimlerinde Yapay Zekâ. (2019). Melih Bulut, Nevit Dilmen, Gökhan Bora Esmer, Murat Gezer, Çiğdem Selçukcan Erol, Leyla Türker Şener (Ed.). İstanbul: Çağlayan Kitabevi. 9. Tıp Bilişimi. (2021). Nilgün Bozbuğa, Sevinç Gülseçen. (Ed.). İstanbul: İstanbul University Press. 10. Sağlıkta İleri Teknoloji. (2019). Mustafa Said Yıldız (Ed.). Ankara: Nobel Yayınevi. |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
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| Program Outcomes | |||||||||||||
| 1) He gains the ability of problem solving and analytical thinking skills. | |||||||||||||
| 2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. | |||||||||||||
| 3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. | |||||||||||||
| 4) He understands object-oriented programming concept and web programming. | |||||||||||||
| 5) He learns radix systems, fundamental electronics and computer hardware knowledge. | |||||||||||||
| 6) He gains mobile programming skills and develops applications for mobile platforms. | |||||||||||||
| 7) He designs and codes databases. | |||||||||||||
| 8) He learns to program and use computer networks, open source operating systems. | |||||||||||||
| 9) He uses the English language effectively. | |||||||||||||
| 10) He learns to use appropriate data structures according to programming requirements. | |||||||||||||
| 11) He develops software individually or as a team. | |||||||||||||
| 12) He follows developments in the field, high technology tools / applications. | |||||||||||||
| 13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. | |||||||||||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | He gains the ability of problem solving and analytical thinking skills. | 1 |
| 2) | He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. | 1 |
| 3) | He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. | 1 |
| 4) | He understands object-oriented programming concept and web programming. | 2 |
| 5) | He learns radix systems, fundamental electronics and computer hardware knowledge. | 2 |
| 6) | He gains mobile programming skills and develops applications for mobile platforms. | 2 |
| 7) | He designs and codes databases. | 2 |
| 8) | He learns to program and use computer networks, open source operating systems. | 2 |
| 9) | He uses the English language effectively. | 1 |
| 10) | He learns to use appropriate data structures according to programming requirements. | 1 |
| 11) | He develops software individually or as a team. | 2 |
| 12) | He follows developments in the field, high technology tools / applications. | 2 |
| 13) | He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. | 2 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 10 |
| Midterms | 1 | % 30 |
| Final | 1 | % 60 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Workload |
| Course Hours | 15 | 45 |
| Study Hours Out of Class | 15 | 30 |
| Quizzes | 1 | 15 |
| Final | 2 | 40 |
| Total Workload | 130 | |