Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| CASE STUDIES in INDISTRIAL ENGINEERING | - | Spring Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Yasin GÖÇGÜN |
| Name of Lecturer(s) | Lect. Özgür EROL |
| Assistant(s) | |
| Aim | This course is designed to provide students to apply their theoretical industrial engineering knowledge to solve real-life business cases. |
| Course Content | This course contains; Future of Industrial Engineering Profession ,History of Industrial Engineering, Contribution of Taylor, Gilbreth, Maynard.,Productivity Science ,Productivity Engineering,Industrial Engineering in Product-Based Operations ,Industrial Engineering in Process-Based Operations ,Industrial Engineering Economic Analysis-1 ,Industrial Engineering Economic Analysis-2,Industrial Engineering and Operations Research,Industrial Engineering and Statistics - Six Sigma Optimization ,Industrial Engineering 4.0,Industrial Engineering in the Age of Digitalization ,Final Case Study Project Presentation,Final Case Study Project Presentations . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Defines the value and current status of the industrial engineering profession. | 10, 13, 19, 2, 4, 9 | A, F |
| 2. Compares industrial engineering theory and practice. | 10, 13, 16, 19, 2, 4, 9 | A, F |
| 3. Applies industrial engineering approaches to solve real-life business problems. | 10, 13, 16, 19, 2, 4, 9 | A, F |
| 4. Analyzes cases by working on case studies. | 10, 13, 16, 19, 2, 4, 9 | A, F |
| Teaching Methods: | 10: Discussion Method, 13: Case Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 2: Project Based Learning Model, 4: Inquiry-Based Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, F: Project Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Future of Industrial Engineering Profession | Lecture Notes |
| 2 | History of Industrial Engineering, Contribution of Taylor, Gilbreth, Maynard. | Lecture Notes |
| 3 | Productivity Science | Lecture Notes |
| 4 | Productivity Engineering | Lecture Notes |
| 5 | Industrial Engineering in Product-Based Operations | Lecture Notes |
| 6 | Industrial Engineering in Process-Based Operations | Lecture Notes |
| 7 | Industrial Engineering Economic Analysis-1 | Lecture Notes |
| 8 | Industrial Engineering Economic Analysis-2 | Lecture Notes |
| 9 | Industrial Engineering and Operations Research | Lecture Notes |
| 10 | Industrial Engineering and Statistics - Six Sigma Optimization | Lecture Notes |
| 11 | Industrial Engineering 4.0 | Lecture Notes |
| 12 | Industrial Engineering in the Age of Digitalization | Lecture Notes |
| 13 | Final Case Study Project Presentation | Lecture Notes |
| 14 | Final Case Study Project Presentations | Lecture Notes |
| Resources |
| Textbook: Ellet, W: Case Study Handbook, William Ellet. Course material: Course notes, slides, readings (provided by the instructor) |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 1 | 1 | 1 | |||
| Resolution of Homework Problems and Submission as a Report | 1 | 1 | 1 | |||
| Term Project | 1 | 1 | 1 | |||
| Presentation of Project / Seminar | 2 | 2 | 4 | |||
| Quiz | 2 | 2 | 4 | |||
| Midterm Exam | 6 | 6 | 36 | |||
| General Exam | 8 | 8 | 64 | |||
| Performance Task, Maintenance Plan | 4 | 4 | 16 | |||
| Total Workload(Hour) | 169 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(169/30) | 6 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| CASE STUDIES in INDISTRIAL ENGINEERING | - | Spring Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Yasin GÖÇGÜN |
| Name of Lecturer(s) | Lect. Özgür EROL |
| Assistant(s) | |
| Aim | This course is designed to provide students to apply their theoretical industrial engineering knowledge to solve real-life business cases. |
| Course Content | This course contains; Future of Industrial Engineering Profession ,History of Industrial Engineering, Contribution of Taylor, Gilbreth, Maynard.,Productivity Science ,Productivity Engineering,Industrial Engineering in Product-Based Operations ,Industrial Engineering in Process-Based Operations ,Industrial Engineering Economic Analysis-1 ,Industrial Engineering Economic Analysis-2,Industrial Engineering and Operations Research,Industrial Engineering and Statistics - Six Sigma Optimization ,Industrial Engineering 4.0,Industrial Engineering in the Age of Digitalization ,Final Case Study Project Presentation,Final Case Study Project Presentations . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Defines the value and current status of the industrial engineering profession. | 10, 13, 19, 2, 4, 9 | A, F |
| 2. Compares industrial engineering theory and practice. | 10, 13, 16, 19, 2, 4, 9 | A, F |
| 3. Applies industrial engineering approaches to solve real-life business problems. | 10, 13, 16, 19, 2, 4, 9 | A, F |
| 4. Analyzes cases by working on case studies. | 10, 13, 16, 19, 2, 4, 9 | A, F |
| Teaching Methods: | 10: Discussion Method, 13: Case Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 2: Project Based Learning Model, 4: Inquiry-Based Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, F: Project Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Future of Industrial Engineering Profession | Lecture Notes |
| 2 | History of Industrial Engineering, Contribution of Taylor, Gilbreth, Maynard. | Lecture Notes |
| 3 | Productivity Science | Lecture Notes |
| 4 | Productivity Engineering | Lecture Notes |
| 5 | Industrial Engineering in Product-Based Operations | Lecture Notes |
| 6 | Industrial Engineering in Process-Based Operations | Lecture Notes |
| 7 | Industrial Engineering Economic Analysis-1 | Lecture Notes |
| 8 | Industrial Engineering Economic Analysis-2 | Lecture Notes |
| 9 | Industrial Engineering and Operations Research | Lecture Notes |
| 10 | Industrial Engineering and Statistics - Six Sigma Optimization | Lecture Notes |
| 11 | Industrial Engineering 4.0 | Lecture Notes |
| 12 | Industrial Engineering in the Age of Digitalization | Lecture Notes |
| 13 | Final Case Study Project Presentation | Lecture Notes |
| 14 | Final Case Study Project Presentations | Lecture Notes |
| Resources |
| Textbook: Ellet, W: Case Study Handbook, William Ellet. Course material: Course notes, slides, readings (provided by the instructor) |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |