TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	1
SEMESTER	Second Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Compare different data groups 2) Think analytically, make synthesis and associate 3) Make future projections and make inferences by analyzing data 4) Construct cause effect realtionship between variables, make inference and decide 5) Examine the relationships between insurance and actuary variables
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Main objective of the course, is to gain ability of establish linear or nonlinear regression model on any finance subject and also to evaluate the figures of anova analysis. Students will gain the ability of using statistical techniques to establish their research questions, pose relevant hypotheses, and make use of the most appropriate tests to carry out a scientific study by applictions on eviews ."
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction, probabilistic and statistical basic concepts 2nd Week Discrete random variables and distributions 3rd Week Continuous random variables and distributions 4th Week Basic satistical measures 5th Week Statistical distributions using in insurance 6th Week Insurance data analysis 7th Week Risk premium 8th Week Midterm 9th Week Pricing in insurance 10th Week Credibility theory 11th Week Baye's theorem 12th Week Simulation 13th Week Loss reserve estimatio in insurance 14th Week Porfolio analysis in elementary risk analysis
RECOMENDED OR REQUIRED READING	I.B. Hossack, J.H. Pollard, B. Zenwirth, Introductory Statistics with Applications in General Insurance.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Questions/Answers,Problem Solving,Project
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 10 Quiz 1 10 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 3 3 Preparation for Quiz 1 3 3 Individual or group work 14 10 140 Preparation for Final exam 1 45 45 Course hours 14 3 42 Preparation for Midterm exam 1 30 30 Laboratory (including preparation) Final exam 1 3 3 Homework 1 40 40 Total Workload 306 Total Workload / 30 10,2 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No