Information Package / Course Catalogue
Digitization in Veterinary Medicine
Course Code: VET535
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 0
Credit: 1
Lab: 0
ECTS: 2
Objectives of the Course

Creating awareness among students for current and potential new technological applications in the field of veterinary medicine.

Course Content

Introducing current and possible new technological applications such as management systems, new software and hardware used in the field of veterinary medicine.

Name of Lecturer(s)
Prof. Selim SEKKİN
Learning Outcomes
1.Will have a general knowledge about management systems in veterinary medicine.
2.Will have a general knowledge about advanced technological hardware in veterinary medicine.
3.Will have a general knowledge about artificial intelligence applications in the field of medicine.
4.Will have a general knowledge about artificial intelligence and machine learning.
5.Will have a general knowledge about the artificial intelligence opportunities available in a variety of healthcare contexts, from hospital management to disease diagnosis.
Recommended or Required Reading
1.Lecture notes
2.Intelligent Systems in Medicine and Health: The Role of AI (Cognitive Informatics in Biomedicine and Healthcare), Cohen T.A., Patel, V.L., Shortliffe, E.H., 2022, ISBN-10 :? 3031091078
3.https://mit-online.getsmarter.com/presentations/info/mit-ai-in-healthcare-online-short-course/?utm_source=edx&utm_medium=referral&eaid=29fb3629-c996-419c-a9ad-5330616ac5dd Erişim Tarhi: 11 Nisan 2023
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction, briefing about the course
Week 2 - Theoretical
Management systems used by Ministries in veterinary medicine
Week 3 - Theoretical
Management systems used by Ministries in veterinary medicine
Week 4 - Theoretical
Management systems of herd management in veterinary medicine
Week 5 - Theoretical
Management systems of herd management in veterinary medicine
Week 6 - Theoretical
Hospital management systems in veterinary medicine
Week 7 - Intermediate Exam
Hospital management systems in veterinary medicine (Midterm examination)
Week 8 - Theoretical
Animal tracking systems in veterinary medicine
Week 9 - Theoretical
Advanced technological hardware in veterinary medicine
Week 10 - Theoretical
The use of 3D printing technologies in the healthcare field
Week 11 - Theoretical
Examples of artificial intelligence applications in diagnosis in healthcare
Week 12 - Theoretical
Examples of artificial intelligence applications in prognosis in healthcare
Week 13 - Theoretical
Examples of artificial intelligence applications in treatment in healthcare
Week 14 - Theoretical
Artificial intelligence in veterinary medicine
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141128
Midterm Examination1617
Final Examination110111
TOTAL WORKLOAD (hours)46
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
PÇ-16
PÇ-17
PÇ-18
PÇ-19
PÇ-20
PÇ-21
PÇ-22
PÇ-23
PÇ-24
PÇ-25
PÇ-26
PÇ-27
PÇ-28
PÇ-29
PÇ-30
PÇ-31
PÇ-32
PÇ-33
PÇ-34
PÇ-35
PÇ-36
OÇ-1
2
3
4
2
4
2
2
1
3
4
1
2
3
3
2
1
1
1
OÇ-2
2
4
2
4
2
2
1
2
4
2
2
1
1
OÇ-3
3
4
2
4
2
2
1
1
4
3
1
3
1
2
2
2
2
2
2
1
1
1
OÇ-4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026