|
|
| HEM2075 | Artificial Intelligence in Nursing | 2+0+0 | ECTS:2 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of NURSING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi İlknur BUÇAN KIRKBİR | | Co-Lecturer | Lecturer Dr. İlknur BUÇAN KIRKBİR | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To ensure the acquisition of knowledge and skills regarding the use of technology and artificial intelligence in nursing education and practice. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Analyze how AI impacts patient care, safety, and quality
| 5,9 | 1, | | LO - 2 : | Relate AI to medical science, practice, and business | 5,9 | 1 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Artificial Intelligence and Its History
Areas of Use of Artificial Intelligence
Types and Techniques of Artificial Intelligence
Artificial Intelligence Algorithms
Large Language Models
Ministry of Health Artificial Intelligence Applications
Artificial Intelligence Models and Application Examples in Medicine
Artificial Intelligence Models and Application Examples Used in Nursing
Artificial Intelligence and Ethics
Digitalization in Healthcare and the Future of Artificial Intelligence |
| |
| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Artificial Intelligence and Its History-1
| | | Week 2 | Artificial Intelligence and Its History-2
| | | Week 3 | Areas of Use of Artificial Intelligence
| | | Week 4 | Types and Techniques of Artificial Intelligence
| | | Week 5 | Artificial Intelligence Algorithms-1
| | | Week 6 | Artificial Intelligence Algorithms-2 | | | Week 7 | Large Language Models
| | | Week 8 | Ministry of Health Artificial Intelligence Applications
| | | Week 9 | Mid-term exam | | | Week 10 | Artificial Intelligence Models and Application Examples in Medicine-1
| | | Week 11 | Artificial Intelligence Models and Application Examples in Medicine-2 | | | Week 12 | Artificial Intelligence Models and Application Examples Used in Nursing-1
| | | Week 13 | Artificial Intelligence Models and Application Examples Used in Nursing-2 | | | Week 14 | Artificial Intelligence and Ethics
| | | Week 15 | Digitalization in Healthcare and the Future of Artificial Intelligence | | | Week 16 | Final exam | | | |
| 1 | Nabiyyev V (2012). Yapay Zeka.Seçkin Yayıncılık, Ankara. | | | |
| 1 | Özlü C (2021). Sağlıkta Yapay Zeka ve Uygulamaları, Akademisyen Kitabevi, Ankara
| | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 22/11/2024 | 1 | 50 | | End-of-term exam | 16 | 08/01/2025 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Arasınav için hazırlık | 2 | 7 | 14 | | Arasınav | 1 | 1 | 1 | | Uygulama | 2 | 6 | 12 | | Dönem sonu sınavı için hazırlık | 2 | 7 | 14 | | Dönem sonu sınavı | 1 | 1 | 1 | | Diğer 1 | 2 | 14 | 28 | | Total work load | | | 98 |
|