Insurance and Social Security
Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Insurance and Social Security
Course Details
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Insurance and Social Security
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 01081005 | Current Developments in Insurance | 2025 | Spring | 8 | 3+0+0 | 4 | 4 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Lecturing, question and answer, discussion, review of current sector reports, evaluation of documents issued by national and international supervisory authorities, case analysis, comparative market assessment, analysis of current data and news, and in-class discussions on digital insurance and emerging risk areas. |
| Mode of Delivery | Face to Face |
| Prerequisites | None. |
| Coordinator | - |
| Instructor(s) | Dr. Res. Asst. Abdullah Buğra SOYLU |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Dr. Res. Asst. Abdullah Buğra SOYLU | C-104 | [email protected] | 7803 | Wednesday 10:00-12:00 |
Course Content
This course covers macro trends in global insurance, the new risk environment, legal regulations, supervisory mechanisms, regulatory transformation, digitalisation in the insurance sector, the InsurTech ecosystem, the use of artificial intelligence, big data and data analytics applications, cyber risks and cyber insurance, climate risks, catastrophic risks, disasters and man-made catastrophes, current developments in the reinsurance market and alternative risk management, health insurance, private pension systems, microinsurance, parametric insurance, inclusive insurance, sustainable insurance principles, the ESG approach, data ethics, artificial intelligence ethics and fairness in insurance.
Objectives of the Course
The aim of this course is to enable students to evaluate current trends in global and Turkish insurance markets, the new risk environment, regulatory transformation, digitalisation and the InsurTech ecosystem, artificial intelligence and big data applications, cyber risks, climate and catastrophic risks, developments in the reinsurance market, innovations in health insurance and private pension systems, microinsurance and parametric insurance practices, sustainable insurance principles, and ethical debates concerning the future of insurance.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | To master the main theories and terminology of Insurance and Social Security, and to learn the legal and legislative aspects of the field at a level to apply them, | 3 |
| P2 | Ability to identify, define and solve problems that may arise in the fields of Insurance and Social Security; use, evaluate and apply appropriate qualitative and quantitative techniques for solution-oriented decisions, | 5 |
| P9 | To comprehend the theoretical and practical knowledge of basic processes in the fields of insurance and private pension; to have professional skills and competencies in areas such as management of social insurance funds, technical operations specific to insurance branches and marketing of services | 4 |
| P10 | To have the ability to design innovative solutions and applications by establishing relationships between different disciplines, developing lifelong learning awareness and interpreting current approaches | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | P.1.5 | 1 | |
| O2 | P.4.2 | 1,5 | |
| O3 | P.9.2 | 1 | |
| O4 | P.10.6 | 5 | |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Macro Trends in Global Insurance and the New Risk Environment |
| 2 | Legal Regulations, Supervisory Mechanisms and Regulatory Transformation in Insurance |
| 3 | Digitalisation and Digital Transformation in the Insurance Sector |
| 4 | The InsurTech Ecosystem and the Use of Artificial Intelligence in Insurance |
| 5 | Cyber Risks and Cyber Insurance Practices |
| 6 | Big Data, Data Analytics and Their Application Areas in Insurance |
| 7 | Climate Risks and Their Impacts on the Insurance Sector |
| 8 | Catastrophic Risks, Disasters and Man-Made Catastrophes |
| 9 | Current Developments in the Reinsurance Market and Alternative Risk Management |
| 10 | Current Developments and Innovations in Health Insurance |
| 11 | Current Developments and Innovations in Private Pension Systems |
| 12 | Microinsurance, Parametric Insurance and Inclusive Insurance Practices |
| 13 | Principles for Sustainable Insurance and the ESG Approach |
| 14 | The Future of Insurance, Data Ethics, Artificial Intelligence Ethics and Fairness in Insurance |
Textbook or Material
| Resources | Swiss Re Institute. (Current). Sigma Reports and Insurance Market Publications. |
| Munich Re. (Current). Topics, NatCatSERVICE and Reinsurance Market Publications. | |
| Türkiye Sigorta, Reasürans ve Emeklilik Şirketleri Birliği. (Güncel). Sektör Raporları, Sigorta İstatistikleri ve Branş Bazlı Veriler. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | 1 | 20 (%) |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 50 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 1 | 14 |
| Midterms | 1 | 15 | 15 |
| Quiz | 0 | 0 | 0 |
| Homework | 1 | 15 | 15 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 1 | 15 | 15 |
| Fieldwork | 1 | 5 | 5 |
| Final Exam | 1 | 15 | 15 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 121 | ||
| Total Work Load / 30 | 4,03 | ||
| Course ECTS Credits: | 4 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P4 | P9 | P10 |
|---|---|---|---|---|---|
| O1 | Alana ilişkin yasal düzenlemelerin kavranması | 5 | 4 | 2 | 2 |
| O2 | Sigorta işletmelerinin çalışmalarını uluslararası düzeyde analiz edebilecek donanıma sahip olma | - | 5 | 2 | 3 |
| O3 | Sigorta hizmetlerinin sunumu ve bireylere katkılarının belirlenmesi konusunun kavranması | - | 3 | 5 | 3 |
| O4 | Güncel yaklaşımları yenilikçi uygulamaları tasarlayabilme | - | 3 | 2 | 5 |