| Electrical and Electronics Engineering | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
| School/Faculty/Institute | Faculty of Engineering | |||||
| Course Code | ME 483 | |||||
| Course Title in English | Problem Solving Methodologies in Engineering | |||||
| Course Title in Turkish | Mühendislikte Problem Çözme Yöntemleri | |||||
| Language of Instruction | EN | |||||
| Type of Course | Select | |||||
| Level of Course | Select | |||||
| Semester | ||||||
| Contact Hours per Week |
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| Estimated Student Workload | 103.5 hours per semester | |||||
| Number of Credits | 6 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites | None | |||||
| Co-requisites | None | |||||
| Expected Prior Knowledge | Basic knowledge of Statistics | |||||
| Registration Restrictions | None | |||||
| Overall Educational Objective | To have strong problem-solving and creative thinking skills in engineering problems and apply systematic problem-solving methodologies. | |||||
| Course Description | This course introduces and practices frequently used engineering problem solving methodologies in the industry. Topics will be covered: Basic Methods -Cause and Effect Diagram (Fishbone), Pareto analysis, A3 Problem Solving, Fault-tree analysis, SWOT Analysis DMAIC - data-driven approach to problem-solving Design for 6 Sigma, Design FMEA TRIZ Inventive Problem Solving |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Break down complex problems into smaller, more manageable parts; 2) Analyze data and identify patterns or trends to make data-driven decisions; 3) Generate creative thinking to conceive new and innovative ideas by challenging prevailing assumptions; 4) Evaluate the effectiveness of the solution and make refinements, if necessary, based on feedback; 5) Implement the solution to the problem and observing the results; 6) Change the strategy if the initial solution does not fix the problem as expected. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ||||||
| 2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ||||||
| 3) An ability to communicate effectively with a range of audiences | ||||||
| 4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ||||||
| 5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ||||||
| 6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ||||||
| 7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | N | |
| 2) | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | N | |
| 3) | An ability to communicate effectively with a range of audiences | N | |
| 4) | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | N | |
| 5) | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | N | |
| 6) | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | N | |
| 7) | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | N |
| Prepared by and Date | MEHMET FEVZİ ÜNAL , October 2024 |
| Course Coordinator | NAMIK KILIÇ |
| Semester | |
| Name of Instructor |
| Week | Subject |
| 1) | Basic Methods - Cause and Effect Diagram (Fishbone), Histogram, Pareto Chart, A3 Problem Solving, Fault-tree analysis, SWOT Analysis |
| 2) | Basic Methods - Cause and Effect Diagram (Fishbone), Histogram, Pareto Chart, A3 Problem Solving, Fault-tree analysis, SWOT Analysis |
| 3) | DMAIC - data-driven approach to problem-solving |
| 4) | DMAIC - data-driven approach to problem-solving |
| 5) | Project - 1 |
| 6) | Design for 6 Sigma |
| 7) | Design for 6 Sigma |
| 8) | Design for 6 Sigma |
| 9) | Project - 2 |
| 10) | Design FMEA |
| 11) | Design FMEA |
| 12) | Project - 3 |
| 13) | TRIZ – innovative problem solving |
| 14) | TRIZ – innovative problem solving |
| 15) | Final exam/Project presentation Period – Project 4 |
| 16) | Final exam/Project presentation Period |
| Required/Recommended Readings | Design for Six Sigma A Roadmap for Product Development, Kai Yang and Basem El-Haik, McGraw-Hill, Second Edition / Ford FMEA Handbook Version 4.1 TRIZ for Engineers: Enabling Inventive Problem Solving, First Edition. Karen Gadd. John Wiley & Sons | ||||||||||||
| Teaching Methods | Filliped Classroom as an active learning method. | ||||||||||||
| Homework and Projects | Projects will be assigned to implement various problem-solving methods. Quiz and in-class exercises will be done. | ||||||||||||
| Laboratory Work | |||||||||||||
| Computer Use | Partially statistics software or Excel | ||||||||||||
| Other Activities | |||||||||||||
| Assessment Methods |
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| Course Administration |
kilicna@mef.edu.tr Instructor’s office and phone number: 506 (A Block - 5th Floor) / 5052646191 office hours: Monday 13:30-14:30 Wednesday 14:00-15:00 email address: kilicna@mef.edu.tr Rules for attendance: Minimum of 70% attendance required. Missing a midterm: Provided that proper documents of excuse are presented, make-up will be given. A reminder of proper classroom behavior, code of student conduct: Law on Higher Education Art. 54. Statement on plagiarism: Law on Higher Education Art. 54. |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 2.5 | 0.5 | 56 | ||
| Project | 4 | 12 | 3 | 60 | |||
| Homework Assignments | 3 | 0.5 | 1.5 | ||||
| Total Workload | 117.5 | ||||||
| Total Workload/25 | 4.7 | ||||||
| ECTS | 6 | ||||||