STAT553 ACTUARIAL ANALYSIS AND RISK THEORY

Course Code:2460553
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Statistics
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Prof.Dr. BERNA BURÇAK BAŞBUĞ ERKAN
Offered Semester:Fall Semesters.

Course Objectives

This course aims to make the audience understand the basic elements of risk, culture of insurance, how statistics play a role in the insurance industry.


Course Content

Basics of insurance; Basics of reinsurance; Non-life insurance mathematics; Insurance economics; Risk theory; Individual and collective risk models; Ruin theory; Credibility theory and applications.


Course Learning Outcomes

Learn definition and types of risk

Learn definition and types of insurance

Understand loss models, the idea of premium

Learn about the Turkish Catastrophe Insurance Pool system


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1Ability for converting theoretical, methodological, and computational statistical knowledge into analytical solutions in researches requiring statistical analyses.
2Ability for specifiying problems in real life situations bearing uncertainty, forming hypotheses, modeling, application, and interpreting the results.
3Ability for using current technology, computer softwares for statistical applications, computer programming for specific problems when necessary, writing computer codes for speeding up statistical calculations, organizing and cleaning databases, and preparing them for statistical analyses, and data mining.
4Ability for taking part in intra/inter disciplinary team work, efficient use of time, taking responsibility as a team leader, and entrepreneurship.
5Ability for taking responsibility in solitary work and producing creative solutions.
6Ability for keeping up-to-date with current advancements in statistical sciences, doing research, being open-minded, and adopting critical thinking.
7Ability for effective communication both in Turkish and English in specification of statistical problems, analyes, and interpretation of findings.
8Ability for using the knowledge in the field of expertise for the welfare of the society.
9Ability for suggesting the researchers in a comprehensible way the appropriate statistical methods for problems in fields that use statistics such as economics, finance, industrial engineering, genetics, and medicine and apply if needed.
10Ability for catalyzing discussions and presentations, public speaking, making presentations, communicating topics of expertise to the audiance in a comprehensible way.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution