Kocaeli University / European Credit Transfer System (ECTS)

Name of Lecturer(s)

Associate Prof. Dr. Süleyman EKEN
Research Assistant Seda BALTA

Learning Outcomes of the Course Unit
Program Competencies-Learning Outcomes Relation

Learning Outcomes of the Course Unit

1) Assess risk for systems engineering using probability theory and statistics
2) Use the basic tools of risk analysis – fault trees, event trees, simulation models, and influence diagrams
3) Model uncertainty and measure risk through various methods
4) Implement quantitative risk analyses, and develop strategies to identify, assess, monitor and mitigate risk

Program Competencies-Learning Outcomes Relation

Program Competencies

Learning Outcomes

No relation

High

No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

This includes qualitative and quantitative risk assessment, risks in systems engineering, environmental risks, security risks; methods of risk analysis, fault trees and event trees; quantification of probabilities, use of data, models, and expert judgments; risks and decisions, interlinking risk analysis with risk management; decision analysis; system analysis and quantification; uncertainty modeling and risk measurement; and project risk management.

Weekly Schedule

1) Course Overview. Introduction to Risk Analysis, Risk and Uncertainty
2) Risk assessment methodologies, risk assessment techniques and standards for information systems
3) Review of probability theory, probability distributions and dsochastic processes
4) Statistical Inference. Weibull Analysis. Survival Analysis
5) Hazard identification, fault tree analysis, event tree analysis
6) Sensitivity Analysis. Bayesian Belief Networks
7) qualitative risk analysis, quantitative risk analysis, F-N Curves
8) Reliability for Risk Analysis. Expert Opinion
9) Midterm exam
10) Value analysis and integrated risk management
11) Decision Theory for Risk Analysis. Influence Diagrams. Risk Profile
12) Utility Functions. Project Risk Management
13) Uncertainty and Monte Carlo Analyses
14) Risk Measurement and Regulations
15) Bilgi sistemleri üzerine vaka çalışmaları
16) Final exam

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Group Study
6) Problem Solving
7) Project Based Learning

Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

50%

		Number	Percentage
Semester Studies	Midterm Examination	1	50%
Semester Studies	Project	1	50%

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Required

Course Unit Title	Course Unit Code	Type of Course Unit	Level of Course Unit	Year of Study	Semester	ECTS Credits
Risk Analysis For Information and Systems Engineering	BTM604	Elective	Doctorate degree	1	Spring	8