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Course Description Course Name : Risk Analysis Course Code : İSB403 Course Type : Optional Level of Course : First Cycle Year of Study : 4 Course Semester : Fall (16 Weeks) ECTS : 3 Name of Lecturer(s) : Assoc.Prof.Dr. DENİZ ÜNAL Learning Outcomes of the Course : Have knowledge of the concept of definition of risk and its properties Have knowledge of Risk analysis process: risk assesment Have knowledge of risk models Have knowledge of risk analysis methods Have knowledge of application of parametric probability models Have knowledge of risk and uncertainity Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Defining risk and risk analysis. Using risk analysis to make a decision Course Contents : 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 Language of Instruction : Turkish Work Place : Faculty of Arts and Sciences Annex Classrooms   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 What is qualitative and quantitative risk analysis? Reading the source Face to face description method,discussion 2 Risk and Uncertainity Reading the source and researching Face to face description method,discussion 3 Risk analysis process: planning Reading the source and researching Face to face description method,discussion 4 Risk analysis process: risk assesment Reading the source and researching Face to face description method,discussion 5 Risk Models Reading the source and researching Face to face description method,discussion, student presentations 6 Risk Analysis methods Reading the source and researching Face to face description method,discussion, student presentations 7 Selection of Risk analysis methods Reading the source and researching Face to face description method,discussion, student presentations 8 Mid-term Reading the source written exam 9 Conceptual approaches based on the theory of probability and statistics, statistical framework for the relationship between risk and uncertainty Reading the source and researching Face to face description method,discussion, student presentations 10 Implementation of parametric probability models, the process of risk analysis for a business organization Reading the source and researching Face to face description method,discussion, student presentations 11 the relationship between risk and uncertainty Reading the source and researching Face to face description method,discussion, student presentations 12 Implementation of parametric probability models, the process of risk analysis for a business organization Reading the source and researching Face to face description method,discussion, student presentations 13 Business and industry applications Reading the source and researching Face to face description method,discussion, student presentations 14 Examples of the different sectors of the business world, the risk analysis process, risk management methods Reading the source and researching Face to face description method,discussion, student presentations 15 Examples of the different sectors of the business world, the risk analysis process, risk management methods Reading the source and researching Face to face description method,discussion, student presentations 16/17 Final Exam Reading the source written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Risk Analysis: Assesing uncertainties beyond expected values and probabilities, Aven,T. , 2008  Risk Analysis in Finance and Insurance, Melnikov,A.. 2003  Finansal Risk Analizine Giriş, Genç, A., Bektaş, M., Çelik, N., 2008 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 40     Homeworks/Projects/Others 1 60 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Utilize computer systems and softwares 1 2 Apply the statistical analyze methods 0 3 Make statistical inference(estimation, hypothesis tests etc.) 0 4 Generate solutions for the problems in other disciplines by using statistical techniques 5 5 Discover the visual, database and web programming techniques and posses the ability of writing programme 0 6 Construct a model and analyze it by using statistical packages 0 7 Distinguish the difference between the statistical methods 1 8 Be aware of the interaction between the disciplines related to statistics 5 9 Make oral and visual presentation for the results of statistical methods 5 10 Have capability on effective and productive work in a group and individually 5 11 Develop scientific and ethical values in the fields of statistics-and scientific data collection 0 12 Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 0 13 Emphasize the importance of Statistics in life 5 14 Define basic principles and concepts in the field of Law and Economics 2 15 Produce numeric and statistical solutions in order to overcome the problems 1 16 Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 0 17 Use proper methods and techniques to gather and/or to arrange the data 0 18 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 0 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 1 10 10     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 20 20 Total Workload: 124 Total Workload / 25 (h): 4.96 ECTS Credit: 5