ECTS - Behaviour Based Engineering Design

Behaviour Based Engineering Design (MECE425) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Behaviour Based Engineering Design MECE425 Area Elective 3 0 0 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Zühal Erden
Course Assistants
Course Objectives This course aims to introduce the basic theory and methodology of the upstream engineering design activity (conceptual design) that is the initial and most abstract stage of the design process. Special emphasize will be given to behavioural modeling tools and techniques for the upstream design yielding behaviour-based design of engineering systems.
Course Learning Outcomes The students who succeeded in this course;
  • to understand the basic theory and methodology of the upstream engineering design activity (conceptual design)
  • to be able to use techniques to model the behaviour of a system at conceptual design level
  • to be able to design engineering systems at an abstract level using behavioural models
  • to be able to use a proper Petri Net tool for modeling and simple analysis of system behaviour
Course Content Introduction to engineering design theory and methodology, modeling in design, function-behaviour-structure model for design, behaviour-based modeling; review of sets, relations and functions; graph theory; discrete-event system modeling; Petri nets; traditional design approaches; recent trends in engineering design; behaviour-based design applicat

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to engineering design theory and methodology, modeling in design N/A
2 Function-behaviour-structure model for design, behaviour-based modeling N/A
3 Review of sets, relations and functions N/A
4 Graph theory N/A
5 Graph theory (continued) N/A
6 Discrete-event system modeling N/A
7 Discrete-event system modeling (continued) N/A
8 Petri Nets N/A
9 Petri Nets (continued) N/A
10 Traditional design approaches N/A
11 Recent trends in engineering design N/A
12 Behaviour-based design applications N/A
13 Implementation on bio-inspired design N/A
14 Case studies N/A
15 Case studies N/A
16 Final Examination N/A

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 10
Presentation - -
Project 1 35
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 30
Toplam 7 100
Percentage of Semester Work 70
Percentage of Final Work 30
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 Gains adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; gains the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems.
2 Gains the ability to define, formulate, and solve complex engineering problems; gains the ability to select and apply proper analysis and modeling methods for this purpose.
3 Gains the ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; gains the ability to apply modern design methods for this purpose.
4 Gains the ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; gains the ability to use information technologies effectively.
5 Gains the ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines. X
6 Gains the ability to work efficiently in inter-, intra-, and multi-disciplinary teams; gains the ability to work individually.
7 (a) Gains effective oral and written communication skills; gains the ability to write a report properly, understand previously written reports, prepare design and manufacturing reports, deliver influential presentations, give unequivocal instructions, and carry out the instructions properly. (b) Gains the knowledge of, at least, one foreign language; gains the ability to write a report properly, understand previously written reports, prepare design and manufacturing reports, deliver influential presentations, give unequivocal instructions, and carry out the instructions properly in this foreign language.
8 Gains awareness of the need for lifelong learning; gains the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously.
9 Gains knowledge about acting in conformity with the ethical principles, professional and ethical responsibility and knowledge of the standards employed in engineering applications.
10 Gains knowledge of business practices such as project management, risk management, and change management; gains awareness of entrepreneurship and innovation; knowledge of sustainable development.
11 Gains knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; gains awareness of the possible legal consequences of engineering practices.
12 (a) Gains knowledge of (i) fluid mechanics, (ii) heat transfer, (iii) manufacturing process, (iv) electronics and control, (v) vehicle components design, (vi) vehicle dynamics, (vii) vehicle propulsion/drive and power systems, (viii) technical laws and regulations in automotive engineering field, and (ix) vehicle verification tests. (b) Gains the ability to merge and apply these knowledge in solving multi-disciplinary automotive problems.
13 Gains the ability to make use of theoretical, experimental, and simulation methods, and computer aided design techniques in automotive engineering field.
14 Gains he ability to work in the field of vehicle design and manufacturing.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project 1 30 30
Report
Homework Assignments 4 2 8
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 6 6
Prepration of Final Exams/Final Jury 1 6 6
Total Workload 120