Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| 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 | |||||
| Expected Prior Knowledge | Basic knowledge of Statistics | |||||
| Co-requisites | None | |||||
| 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 Description in Turkish | Bu derste, endüstride yaygın olarak kullanılan problem çözme yöntemleri teori ve örnek vaka analizleri ile birlikte verilecektir. Konular: Temel Yöntemler -Sebep sonuç diyagramları (Balık Kılçığı), Pareto analizi, A3 problem çözme yöntemi, Hata ağacı analizi, SWOT Analizi DMAIC – veri bazlı problem çözme yöntemi Tasarım için 6 sigma Tasarım FMEA TRIZ yaratıcı problem çözme |
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) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||
| 6) Internalization and dissemination of professional ethical standards. | ||||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | MEHMET FEVZİ ÜNAL , October 2024 |
| Course Coordinator | MEHMET FEVZİ ÜNAL |
| Semester | |
| Name of Instructor | Asst. Prof. Dr. NAMIK KILIÇ |
Course Contents
| 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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ECTS Student Workload Estimation
| 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 | ||||||