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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to RISK ANALYSIS and MANAGEMENT-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Lect. Özgür EROL
Assistant(s)
AimIn this course, applications of risk analysis and management issues in engineering systems are defined. The main purpose of the course is to understand the concept of risk and to ensure that risk-causing situations can be predicted at the design stage, if possible, or to plan in advance what kind of precautions will need to be taken after the risk occurs. Risk analysis and management issues should be planned at the design stage of the systems and it is an approach that should be addressed at all stages when the system is functional. Learn how to measure risk and how to calculate risk. Current events and case studies will be examined throughout the semester for a better understanding of all these concepts and topics. A project is prepared by considering a case study on risk analysis and management.
Course ContentThis course contains; Introduction to general concepts of risk ,Risk, risk analysis and risk management definitions ,Risk Assessment ,Probabilistic Risk Assessment (PRA),Risk Management,Case study about risk assessment and risk analysis
,Case study about risk management
,Course project teams and topics ,Introduction to reliability and reliability engineering,Proactive and reactive approaches to risk, resilience engineering,Case study about resilience engineering ,Special topics: Financial risk management,Final Project Presentations,Final project presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Defines the concepts of risk, risk analysis and risk management through real-life cases.10, 13, 2, 4, 9A, E, F, G
2. Analyzes the concept of reliability and the basics of reliability engineering.10, 13, 2, 4, 9A, E, F, G
3. Defines the concepts of proactive and reactive approaches to risk.10, 13, 2, 4, 9A, E, F, G
4. Identify the special topics in risk management, including technological, financial, and organizational risk management.10, 13, 4, 9A, E, F, G
5. Evaluates how systems can be designed or redesigned to eliminate or minimize risk sources and the possible negative consequences of disruptive events.10, 13, 2, 4, 9A, E, F, G
Teaching Methods:10: Discussion Method, 13: Case Study Method, 2: Project Based Learning Model, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to general concepts of risk Lecture Notes
2Risk, risk analysis and risk management definitions Lecture Notes
3Risk Assessment Lecture Notes
4Probabilistic Risk Assessment (PRA)Lecture Notes
5Risk ManagementLecture Notes
6Case study about risk assessment and risk analysis
Lecture Notes
7Case study about risk management
Lecture Notes
8Course project teams and topics Lecture Notes
9Introduction to reliability and reliability engineeringLecture Notes
10Proactive and reactive approaches to risk, resilience engineeringLecture Notes
11Case study about resilience engineering Lecture Notes
12Special topics: Financial risk managementLecture Notes
13Final Project PresentationsProject Presentations
14Final project presentationsProject Presentations
Resources
Textbook: Reliability Engineering and Risk Analysis, Modarres and Kaminsky Course notes, slides and readings (provided by the instructor)

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving12112
Resolution of Homework Problems and Submission as a Report14342
Term Project339
Presentation of Project / Seminar4312
Quiz10110
Midterm Exam155
General Exam2816
Performance Task, Maintenance Plan8432
Total Workload(Hour)180
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(180/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to RISK ANALYSIS and MANAGEMENT-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Lect. Özgür EROL
Assistant(s)
AimIn this course, applications of risk analysis and management issues in engineering systems are defined. The main purpose of the course is to understand the concept of risk and to ensure that risk-causing situations can be predicted at the design stage, if possible, or to plan in advance what kind of precautions will need to be taken after the risk occurs. Risk analysis and management issues should be planned at the design stage of the systems and it is an approach that should be addressed at all stages when the system is functional. Learn how to measure risk and how to calculate risk. Current events and case studies will be examined throughout the semester for a better understanding of all these concepts and topics. A project is prepared by considering a case study on risk analysis and management.
Course ContentThis course contains; Introduction to general concepts of risk ,Risk, risk analysis and risk management definitions ,Risk Assessment ,Probabilistic Risk Assessment (PRA),Risk Management,Case study about risk assessment and risk analysis
,Case study about risk management
,Course project teams and topics ,Introduction to reliability and reliability engineering,Proactive and reactive approaches to risk, resilience engineering,Case study about resilience engineering ,Special topics: Financial risk management,Final Project Presentations,Final project presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Defines the concepts of risk, risk analysis and risk management through real-life cases.10, 13, 2, 4, 9A, E, F, G
2. Analyzes the concept of reliability and the basics of reliability engineering.10, 13, 2, 4, 9A, E, F, G
3. Defines the concepts of proactive and reactive approaches to risk.10, 13, 2, 4, 9A, E, F, G
4. Identify the special topics in risk management, including technological, financial, and organizational risk management.10, 13, 4, 9A, E, F, G
5. Evaluates how systems can be designed or redesigned to eliminate or minimize risk sources and the possible negative consequences of disruptive events.10, 13, 2, 4, 9A, E, F, G
Teaching Methods:10: Discussion Method, 13: Case Study Method, 2: Project Based Learning Model, 4: Inquiry-Based Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to general concepts of risk Lecture Notes
2Risk, risk analysis and risk management definitions Lecture Notes
3Risk Assessment Lecture Notes
4Probabilistic Risk Assessment (PRA)Lecture Notes
5Risk ManagementLecture Notes
6Case study about risk assessment and risk analysis
Lecture Notes
7Case study about risk management
Lecture Notes
8Course project teams and topics Lecture Notes
9Introduction to reliability and reliability engineeringLecture Notes
10Proactive and reactive approaches to risk, resilience engineeringLecture Notes
11Case study about resilience engineering Lecture Notes
12Special topics: Financial risk managementLecture Notes
13Final Project PresentationsProject Presentations
14Final project presentationsProject Presentations
Resources
Textbook: Reliability Engineering and Risk Analysis, Modarres and Kaminsky Course notes, slides and readings (provided by the instructor)

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
X
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
X
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43