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Course Description Course Name : Risk Assessment and Analysis Course Code : MTY-561 Course Type : Optional Level of Course : Sub-Level (Undergraduate Degree) Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Instructor MELİK KOYUNCU Learning Outcomes of the Course : Defines the risk analysis Classifies risk models Reports the risk analysis results Analyses risk at the projects Has the knowledge about risk assesment techniques Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Having knowledge about risk analysis and management techniques and applying these techniques to the operation systems Course Contents : Definition of risk analysis, Definition of risk assesment, Planning of risk analysis, Evaluating and reporting of analysis results, Optimization in risk analysis, Risk analysis at projects, Risk analysis at insurance and finance systems, Risk evaluation techniques, Critical case analysis, Critical function analysis, Collective risk models, Sparre Andersen Model Language of Instruction : Turkish Work Place : Class room   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Definition of risk analysis Reading the related chapter from text books power point presentation and explanation 2 Definition of risk assesment Reading the related chapter from text books power point presentation and explanation 3 Planning of risk analysis Reading the related chapter from text books power point presentatio and explanation 4 Evaluating and reporting analysis results Reading the related chapter from text books power point presentation and explanation 5 Optimization in risk analysis Reading the related chapter from text books power point presentatio and explanation 6 Risk analysis at projects Reading the related chapter from text books power point presentatio and explanation 7 Midterm exam 8 Risk analysis at finance system Reading the related chapter from text books power point presentatio and explanation 9 Risk analysis at insurance systems Reading the related chapter from text books power point presentatio and explanation 10 Risk evaluation techniques Reading the related chapter from text books power point presentatio and explanation 11 Critical case analysis Reading the related chapter from text books power point presentatio and explanation 12 Critical function analysis Reading the related chapter from text books power point presentatio and explanation 13 Collective risk models Reading the related chapter from text books power point presentatio and explanation 14 Sparre Andersen Model Reading the related chapter from text books power point presentatio and explanation 15 Project presentation Reading the related chapter from text books power point presentatio and explanation 16/17 Final exam Classical exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  David Vose, Risk Analysis: A Quantitative Guide. , John Wiley and Sons , 2008 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 20     Homeworks/Projects/Others 1 80 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 Understands, evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research. 4 2 Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations. 3 3 Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge. 3 4 Designs engineering problems, develops techniques to solve them, using innovative ways. 3 5 Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research. 3 6 Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for compicated solutions. 3 7 Describes, gathers and uses necessary information and data. 3 8 Has the ability of developing new and/or original ideas or techniques to come up with innovative solutions for designing systems, components or processes. 3 9 Presents research findings systematically and clearly in oral or written forms in national or international meetings. 4 10 Understands social and environmental implications of engineering practice. 3 11 Considers social, scientific and ethical values in all professional activities and while collecting and analysing data and discussing the findings. 5 12 Keeps up with the latest developments in the field. 3 * 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 6 84 Assesment Related Works     Homeworks, Projects, Others 1 10 10     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 3 3 Total Workload: 142 Total Workload / 25 (h): 5.68 ECTS Credit: 6