Information
Unit | FACULTY OF PHARMACY |
PHARMACY PR. | |
Code | ECS551 |
Name | Pharmacy and Artificial intelligence |
Term | 2025-2026 Academic Year |
Semester | 9. Semester |
Duration (T+A) | 2-0 (T-A) (17 Week) |
ECTS | 3 ECTS |
National Credit | 2 National Credit |
Teaching Language | Türkçe |
Level | Belirsiz |
Type | Normal |
Label | VK Vocational Knowledge Courses E Elective |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Dr. Öğr. Üyesi Merve NENNİ |
Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
To teach the fundamentals, application areas and future potential of artificial intelligence (AI) technologies in the field of pharmacy; to enable students to recognize AI tools in processes such as drug discovery, pharmaceutical production, personalized treatment and pharmacovigilance.
Course Content
Starting from the basics of artificial intelligence, it covers topics such as drug discovery, formulation optimization, clinical decision support systems and robotic pharmacy applications.
Course Precondition
none
Resources
Nenni M., ÇÜBİS-Ders Sunumları, 2025, Çukurova Üniversitesi. Yamalı C., ÇÜBİS-Ders Sunumları, 2025, Çukurova Üniversitesi.
Notes
BS YANARTAŞ, Eczacılık ve yapay zeka, 2024. Anan S. Jarab, Walid Al-Qerem, Dua’a M. Al-Hajjeh, Shrouq Abu Heshmeh, Tareq L. Mukattash, Abdallah Y. Naser, Hassan Alwafi & Yazid N Al Hamarneh. (2025) Artificial intelligence utilization in the healthcare setting: perceptions of the public in the UAE. International Journal of Environmental Health Research 35:3, pages 585-593
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | By learning the basic concepts of AI, analyze how it can be applied in pharmacy and pharmaceutical sciences. |
LO02 | Uses AI base in drug discovery, pharmaceutical formulation optimization and clinical pharmacy. |
LO03 | Decides AI models in pharmacovigilance, patient data analysis and personalized treatments. |
LO04 | Uses AI in pharmacy management and drug supply chain. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge in pharmaceutical field and develop the knowledge. | 2 |
PLO02 | Bilgi - Kuramsal, Olgusal | Comprehends professional knowledge with ethical responsibility through current laws and legislation. | |
PLO03 | Beceriler - Bilişsel, Uygulamalı | Provides consultancy service to patients, community and health care personnel and evaluates advanced knowledge and skills with a critical approach. | 2 |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Possessing the knowledge of historical and current developments in the field of Pharmacy, monitoring, evaluation and application of scientific and evidence-based data, and adopting lifelong learning. | |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Have the knowledge and skills to help provide patient-oriented pharmacy applications and individualized pharmaceutical care by learning the basics of Clinical Pharmacy, | |
PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes a role in the evaluation and analysis of the events and cases related to the development of pharmacy profession and education. | 1 |
PLO07 | Yetkinlikler - Öğrenme Yetkinliği | Integrates and develops professional knowledge via different disciplines and uses the acquired knowledge to improve the health level and quality of life of the community. | 1 |
PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Use effectively the concepts and applications of basic sciences and basic medical sciences in the field of medicine and pharmacy and update the information. | |
PLO09 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates effectively in writing and speaking. | |
PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Practices the profession in accordance with Atatürk's principles and reforms, equipped with universal knowledge, uses Turkish correctly and knows at least one foreign language. | |
PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Be an example to society withexternal appearance, demeanor, attitude and behavior for the other professionals and society and with professional identity | |
PLO12 | Yetkinlikler - Alana Özgü Yetkinlik | Have knowledge about health policies and health economics, pharmacy management and define the problems in pharmaceutical field. | |
PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets information about current health and treatment problems and attends meeting on related matters . Plays an active role in community health. | |
PLO14 | Yetkinlikler - Alana Özgü Yetkinlik | Acquires basic information about diseases, makes decisions about the drugs used in treatment in accordance with rational drug use. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction – The Role and Potential of Artificial Intelligence in Pharmacy | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
2 | Introduction to AI and Machine Learning | Studying the relevant topic from course resources | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
3 | AI in Drug Discovery | Studying the relevant topic from course resources | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Tartışma |
4 | AI in Pharmaceutical Formulation and Manufacturing | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
5 | Clinical Pharmacy and Personalized Care | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
6 | Pharmacovigilance and Artificial Intelligence | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
7 | Image Processing and Diagnostic Pharmacy | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
8 | Mid-Term Exam | Exam | Ölçme Yöntemleri: Ödev |
9 | Blockchain and Smart Drug Supply Chain | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
10 | Robotic Pharmacy Systems | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
11 | AI and Public Health Pharmacy | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
12 | Future Trends and Career Opportunities | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
13 | Student Project Presentations 1 | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Beyin Fırtınası, Alıştırma ve Uygulama, Proje Temelli Öğrenme |
14 | Student Project Presentations 2 | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Grup Çalışması, Proje Temelli Öğrenme |
15 | Student Project Presentations 3 | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Beyin Fırtınası, Proje Temelli Öğrenme |
16 | Term Exams | Exam | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Exam | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
Final Exam | 1 | 16 | 16 |
Total Workload (Hour) | 78 | ||
Total Workload / 25 (h) | 3,12 | ||
ECTS | 3 ECTS |