COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Risk Analysis ISB   403 7 3 3 3

Prerequisites and co-requisites Yok
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assoc.Prof.Dr. Deniz ÜNAL ÖZPALAMUTCU
Instructors
Doç.Dr.DENİZ ÜNAL ÖZPALAMUTCU1. Öğretim Grup:A
Doç.Dr.DENİZ ÜNAL ÖZPALAMUTCU2. Öğretim Grup:A
 
Assistants
Goals
Defining risk and risk analysis. Using risk analysis to make a decision
Content
Risk analysis process: planning, risk assessment and risk process, risk models, risk analysis techniques, conceptual approaches based on the theory of probability and statistics, statistical framework for the relationship between risk and uncertainty, business and industry applications

Learning Outcomes
1) Have knowledge of the concept of definition of risk and its properties
2) Have knowledge of Risk analysis process: risk assesment
3) Have knowledge of risk models
4) Have knowledge of risk analysis methods
5) Have knowledge of application of parametric probability models
6) Have knowledge of risk and uncertainity


Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
2
Emphasize the importance of Statistics in life
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
5
Use proper methods and techniques to gather and/or to arrange the data
6
Utilize computer systems and softwares
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
8
Apply the statistical analyze methods
9
Make statistical inference(estimation, hypothesis tests etc.)
10
Generate solutions for the problems in other disciplines by using statistical techniques
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
13
Distinguish the difference between the statistical methods
14
Be aware of the interaction between the disciplines related to statistics
15
Make oral and visual presentation for the results of statistical methods
16
Have capability on effective and productive work in a group and individually
17
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 What is qualitative and quantitative risk analysis? Lecture
Discussion
2 Risk and Uncertainity Lecture
Discussion
3 Risk analysis process: planning Lecture
Discussion
4 Risk analysis process: risk assesment Lecture
Discussion
5 Risk Models Lecture
Discussion
6 Risk Analysis methods Lecture
Discussion
7 Selection of Risk analysis methods Lecture
Discussion
8 Mid-term Testing
9 Conceptual approaches based on the theory of probability and statistics, statistical framework for the relationship between risk and uncertainty Lecture
Discussion
10 Implementation of parametric probability models, the process of risk analysis for a business organization Lecture
Discussion
11 the relationship between risk and uncertainty Lecture
Discussion
12 Implementation of parametric probability models, the process of risk analysis for a business organization Lecture
Discussion
13 Business and industry applications Lecture
Discussion
14 Examples of the different sectors of the business world, the risk analysis process, risk management methods Lecture
Discussion
15 Examples of the different sectors of the business world, the risk analysis process, risk management methods Lecture
Discussion
16-17 Final Exam Testing

Recommended or Required Reading
Textbook
Additional Resources