ACTUARIAL SCIENCE (TURKISH, NON-THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ENM5203 | Statistical Data Analysis and Decision Making | Fall | 3 | 0 | 3 | 12 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi ETHEM ÇANAKOĞLU |
Course Lecturer(s): |
Prof. Dr. SELİM ZAİM Dr. Öğr. Üyesi YÜCEL BATU SALMAN |
Recommended Optional Program Components: | N/A |
Course Objectives: | This course provides the use of statistical and quantitative methods using computer technology to examine and explore data. It aims to build and interpret models from this data for decision making in all functional areas. |
The students who have succeeded in this course; Ability to make decisions with statistical methods, ability to collect meaningful data, ability to interpret data and transform it into information/knowledge |
Methods covered include: collecting data, summarizing and exploring data, hypothesis testing, confidence intervals, regression analysis, ANOVA. |
Week | Subject | Related Preparation |
1) | Introduction: Description of data | |
2) | Data collection | |
3) | Descriptive Statistics | |
4) | Confidence intervals | |
5) | Hypothesis testing | |
6) | Hypothesis testing | |
7) | Midterm | |
8) | Regression analysis | |
9) | Regression analysis | |
10) | ANOVA | |
12) | ANOVA | |
12) | SPSS | |
13) | Project presentations | |
14) | Project presentations |
Course Notes / Textbooks: | N/A |
References: | Statistics for Business: Decision Making and Analysis, Robert A. Stine, Dean Foster, Pearson, 2011, 0321123913 |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 35 |
Midterms | 1 | % 25 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 25 | |
PERCENTAGE OF FINAL WORK | % 75 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 4 | 56 |
Presentations / Seminar | 1 | 15 | 15 |
Project | 1 | 90 | 90 |
Midterms | 1 | 40 | 40 |
Final | 1 | 60 | 60 |
Total Workload | 303 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Acquire the quantitative skills to become an actuary. | |
2) | Will know about risks and ways to manage risk. | |
3) | Will know about financial planning and its role in actuarial management. | |
4) | Will be able to design new products and carry profitability tests and scenario analyses. | |
5) | Besides gaining competence in theoretical subjects, the graduate will also be aware of practical issues and applications through lecturers and instructors who have market experience. | |
6) | Will be able to follow all innovations and carry on research on the particular area. | |
7) | Will share information with colleagues and will use it for project development.. | |
8) | Will be able to apply and make the necessary adaptation to all new rules and regulations. |