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		3	0	0	3	6

Pre-requisite Course(s)
None

Course Language	English
Course Type	N/A
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
#	Program Qualifications / Competencies	1	2	3	4	5
1	Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems.
2	The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose.
3	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; the ability to apply modern design methods for this purpose.
4	The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively.
5	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	The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually.
7	(a) Sözlü ve yazılı etkin iletişim kurma becerisi; etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi. (b) En az bir yabancı dil bilgisi; bu yabancı dilde etkin rapor yazma ve yazılı raporları anlama, tasarım ve üretim raporları hazırlayabilme, etkin sunum yapabilme, açık ve anlaşılır talimat verme ve alma becerisi.
8	Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously.
9	Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications.
10	Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
11	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; awareness of the possible legal consequences of engineering practices.
12	(a) 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) The ability to merge and apply these knowledge in solving multi-disciplinary automotive problems.
13	The ability to make use of theoretical, experimental, and simulation methods, and computer aided design techniques in automotive engineering field.
14	The 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