AI 468 AI in HealthcareMEF UniversityDegree Programs EconomicsGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Economics
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Engineering
Course Code AI 468
Course Title in English AI in Healthcare
Course Title in Turkish Sağlıkta Yapay Zekâ
Language of Instruction EN
Type of Course Ters-yüz öğrenme
Level of Course Seçiniz
Semester
Contact Hours per Week
Lecture: Recitation: Lab: Other:
Estimated Student Workload hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions None
Overall Educational Objective
Course Description This course centers on processing health data (such as medical images, electronic health records, sensor data, etc.) using artificial intelligence methods and developing clinical decision support systems. It examines the impact of machine learning and deep learning algorithms in medical applications through current examples like cancer detection, personalized treatment plans, and genomic analysis. Topics such as data anonymization, ethical principles, data privacy, regulatory frameworks (HIPAA, GDPR, etc.), and challenges encountered in the adoption of AI-based healthcare technologies are also discussed to provide students with a comprehensive perspective.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
Program Learning Outcomes/Course Learning Outcomes
1) Relates economic knowledge with other social sciences and mathematics, and utilizes it in interdisciplinary analyses
2) Differentiates between the interactions of various fields of economics and synthesizes these distinctions
3) Analyzes economic phenomena by modeling microeconomic and macroeconomic theories using mathematical and statistical tools
4) Evaluate alternative theoretical approaches to solving complex economic problems and rationally apply their findings in decision-making processes
5) Analyze and compare different economic systems using quantitative techniques
6) Apply economic theoretical knowledge and models to issues related to the Turkish and global economies and design evidence-based policy recommendations
7) Analyzes economic data using econometric and statistical methods and presents the results using appropriate software programs
8) Conducts and reports on all stages of economic analysis in accordance with scientific and ethical principles
9) Uses written and spoken English (at least CEFR B2 level) in scientific knowledge sharing
10) Integrates social responsibility into economic decision-making processes
11) Develops the learning competencies necessary for further studies with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Relates economic knowledge with other social sciences and mathematics, and utilizes it in interdisciplinary analyses N
2) Differentiates between the interactions of various fields of economics and synthesizes these distinctions N
3) Analyzes economic phenomena by modeling microeconomic and macroeconomic theories using mathematical and statistical tools N
4) Evaluate alternative theoretical approaches to solving complex economic problems and rationally apply their findings in decision-making processes N
5) Analyze and compare different economic systems using quantitative techniques N
6) Apply economic theoretical knowledge and models to issues related to the Turkish and global economies and design evidence-based policy recommendations N
7) Analyzes economic data using econometric and statistical methods and presents the results using appropriate software programs N
8) Conducts and reports on all stages of economic analysis in accordance with scientific and ethical principles H
9) Uses written and spoken English (at least CEFR B2 level) in scientific knowledge sharing H
10) Integrates social responsibility into economic decision-making processes H
11) Develops the learning competencies necessary for further studies with a high degree of autonomy H
Prepared by and Date ,
Course Coordinator HÜSEYİN KAYA
Semester
Name of Instructor

Course Contents

Week Subject
Required/Recommended Readings
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Homework and Projects
Laboratory Work
Computer Use
Other Activities
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Course Administration