Industrial Engineering
Course Details

KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details

| 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) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Prof. Murat DARÇIN | A-306 | [email protected] | 7907 |
Course Content
Risk tanımı, risk algısı,risk yönetimi, risk değerlendirmesi, nitel ve nicel risk değerlendirme teknikleri (FMEA, FTA, ETA, PHA, HAZOP, L ve X tipi risk matrisleri, Kelebek modeli)
Objectives of the Course
The objectives of this course is to provide ability of defining and managing possible risks in business world and to present risk assessment techniques to student.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Sufficient knowledge of mathematics, science and Industrial Engineering discipline-specific subjects; Ability to use theoretical and applied knowledge in these fields to solve complex Industrial Engineering problems | 5 |
| P2 | Ability to identify, formulate and solve complex Industrial Engineering problems; Ability to select and apply appropriate analysis and modeling methods for this purpose | 5 |
| P3 | In the field of Industrial Engineering, the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; Ability to apply modern design methods for this purpose | 5 |
| P4 | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications; Ability to use information technologies effectively | 5 |
| P5 | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics in the field of Industrial Engineering | 3 |
| P6 | Ability to work effectively in intradisciplinary and multidisciplinary teams; individual study skills | 3 |
| P7 | Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, give and receive clear and understandable instructions. | 3 |
| P8 | Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology and constantly renew oneself | 3 |
| P9 | Information about complying with ethical principles, professional and ethical responsibility, and standards used in engineering practices | 3 |
| P10 | Knowledge of business practices, such as project management, risk management and change management; awareness about entrepreneurship and innovation; information about sustainable development | 5 |
| P11 | Information about the effects of applications in the field of Industrial Engineering on health, environment and security at universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of engineering solutions | 3 |
Course Learning Outcomes
| 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 | |||
Weekly Detailed Course Contents
| 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 |
Textbook or Material
| Resources | Psychosocial Risk Factors at Work, Murat DARÇIN, 2019. |
| Psychosocial Risk Factors at Work, Murat DARÇIN, 2019. |
Evaluation Method and Passing Criteria
| 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 (%) | |
ECTS / Working Load Table
| 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 | ||
Course - Learning Outcomes Matrix
| 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 |
