ME 483 Problem Solving Methodologies in EngineeringMEF UniversityDegree Programs Electrical and Electronics EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
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

ECTS Course Information Package

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
Lecture: 3 Recitation: Lab: Other:
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 Competences

Upon 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

Relation to Program Outcomes and Competences

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

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 ReadingsDesign 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 MethodsFilliped Classroom as an active learning method.
Homework and ProjectsProjects will be assigned to implement various problem-solving methods. Quiz and in-class exercises will be done.
Laboratory Work
Computer UsePartially statistics software or Excel
Other Activities
Assessment Methods
Assessment Tools Count Weight
Quiz(zes) 4 % 40
Project 4 % 60
TOTAL % 100
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.

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