ECTS - Advanced Theory of Engineering Design

Advanced Theory of Engineering Design (MDES640) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Advanced Theory of Engineering Design MDES640 3 0 0 3 5
Pre-requisite Course(s)
Consent of the instructor
Course Language English
Course Type N/A
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Upon successful completion of the course, students will have an understanding of the theory and implementation of engineering design at advanced level. Basics of effective solution generation to engineering problems will be included in this course.
Course Learning Outcomes The students who succeeded in this course;
  • The course will give all the necessary philosophical and implementation issues at advanced level for “System and Design” focus area of the MODES program. After taking this course, students may implement the design theory in any area of the engineering branches according to their own specialization.
Course Content Determination of the customer needs and the real design problem; engineering creativity; generation of innovative solution alternatives, and selection of the effective solution; modularity in design; collaboration in interdisciplinary design tasks; concepts of systems, models, and strategies for purposeful activities; design and control of design p

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Identification of customer needs, Systematic approach and models -
2 Engineering Philosophy -
3 Design and engineering design, Models of (engineering) design -
4 Design Process Models; Concepts, Models and Representation -
5 Design Types; Innovative Design, Adaptive Design, Axiomatic Design, Top-Down, Bottom Up Design -
6 Design Product Models; Concepts, Models and Representation -
7 Design Modeling Strategies -
8 Functional and Form Modeling -
9 Behavioral Modeling; Cellular Automata, Bond Graphs, Graph Tree Method, Petri Nets -
10 Multi-disciplinary Design -
11 Reverse Engineering and Modularity in Design -
12 Evolutionary Design -
13 Biologically Inspired Design -
14 System Engineering, Mass Customization in Design -


Course Book 1. Notlar / Lecture notes

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 4 20
Homework Assignments - -
Presentation - -
Project 2 40
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 20
Final Exam/Final Jury 1 20
Toplam 9 100
Percentage of Semester Work 80
Percentage of Final Work 20
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team X
2 Ability to evaluate research topics and comment with scientific reasoning X
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics X
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions X
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems X
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level X
7 Contribute scientific and technological advancements on engineering domain of his/her interest area X
8 Contribute industrial and scientific advancements to improve the society through research activities X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory 2 20 40
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Homework Assignments 2 10 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 8 16
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 134