Industrial Engineering

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
15281857	Risk Management	4	Spring	8	3+0+0	0	5

Course Type	Elective
Course Cycle	Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language	Turkish
Methods and Techniques	-
Mode of Delivery	Face to Face
Prerequisites	-
Coordinator	Prof. Murat DARÇIN
Instructor(s)	Prof. Murat DARÇIN
Instructor Assistant(s)	-

Name and Surname	Room	E-Mail Address	Internal	Meeting Hours
Prof. Murat DARÇIN	A-306	[email protected]	7907

Basic Vocational Courses	X
Specialization / Field Courses	X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Program Learning Outcomes	Level
P1	Knowledge of mathematics, natural sciences, fundamental engineering, computational sciences, and industrial engineering; the ability to apply this knowledge to solve complex engineering problems.	5
P2	The ability to define, formulate, and analyze complex industrial engineering problems using fundamental science, mathematics, and engineering knowledge, while keeping in mind the relevant UN Sustainable Development Goals.	5
P3	The ability to design creative solutions to complex industrial engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, while considering realistic constraints and conditions.	5
P4	The ability to select and utilize appropriate techniques, resources, and modern engineering and information tools, including estimation and modeling, for the analysis and solution of complex industrial engineering problems, while being aware of their limitations.	5
P5	The ability to use research methods, including literature review, experimental design, experiment execution, data collection, analysis, and interpretation of results, to investigate complex industrial engineering problems.	3
P8	The ability to work effectively individually and as a team member or leader in intra-disciplinary and multi-disciplinary teams (face-to-face, remote, or mixed).	3
P9	The ability to communicate effectively, both verbally and in writing, on technical topics, taking into account the diverse differences of the target audience (education, language, profession, etc.).	3
P11	Lifelong learning skills encompass the ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological change.	3
P7	Knowledge of ethical responsibility and adherence to engineering professional principles; awareness of impartiality and inclusivity without discrimination.	3
P10	Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.	5
P6	Information about the impacts of engineering applications on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions.	3

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1		P.1.22	1,5
O2		P.2.21	1,5
O3		P.3.5	1,5
O4		P.4.16	1,5
O5		P.10.5	1,5
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Introduction to Risk Analaysis
2	Risk, Uncertainty, Probability
3	Risk Perception
4	Risk Management
5	Risk Management and Risk Engineering
6	Quantitative and Qualitative Methods
7	Quantitative and Qualitative Methods
8	Midterm
9	Quantitative and Qualitative Methods
10	Failure Mode and Effects Analysis
11	Event Tree Analysis
12	Fault Tree Analysis Technique
13	Risk Assessment Examples
14	Bow Tie Risk Assessment Technique
15	Bow Tie Risk Assessment Technique
16	Final Exam

Resources	Psychosocial Risk Factors at Work, Murat DARÇIN, 2019.
	Psychosocial Risk Factors at Work, Murat DARÇIN, 2019.

In-Term Studies	Quantity	Percentage
Attendance	-	-
Laboratory	-	-
Practice	-	-
Field Study	-	-
Course Specific Internship (If Any)	-	-
Homework	1	10 (%)
Presentation	-	-
Projects	1	20 (%)
Seminar	-	-
Quiz	-	-
Listening	-	-
Midterms	1	30 (%)
Final Exam	1	40 (%)
Total		100 (%)

	Quantity	Duration	Total Work Load
Course Week Number and Time	14	3	42
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	14	2	28
Midterms	1	15	15
Quiz	0	0	0
Homework	1	10	10
Practice	5	1	5
Laboratory	0	0	0
Project	1	20	20
Workshop	0	0	0
Presentation/Seminar Preparation	1	10	10
Fieldwork	0	0	0
Final Exam	1	20	20
Other	0	0	0
Total Work Load:			150
Total Work Load / 30			5
Course ECTS Credits:			5

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Learning Outcomes	P1	P2	P3	P4	P10
O1	Risk yönetim sürecini planlayabilir ve riskleri belirlemek için uygun yöntemleri kullanabilir.	5	-	-	-	-
O2	Belirlenen riskleri derecelendirebilir, uygun kontrol önlemlerini geliştirebilir, bu önlemleri uygulayabilir ve sürekli izleyip gözden geçirebilir.	-	5	-	-	-
O3	Risk yönetimi ile ilgili temel tanımları ve kavramları açıklayabilir.	-	-	5	-	-
O4	Çeşitli risk analizi ve değerlendirme yöntemlerini uygulayarak riskleri değerlendirebilir.	-	-	-	5	-
O5	Belirli bir senaryo veya durumda potansiyel tehlikeleri tespit edebilir.	-	-	-	-	5