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 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
2 Ability to formulate, and solve complex mechatronics engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
3 Ability to design a complex mechatronics engineering system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. X
4 Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in mechatronics engineering and robot technology practices; ability to employ information technologies effectively.
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex mechatronics engineering and robot technology problems or research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. X
7 Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself X
9 a-) Knowledge on behavior according to ethical principles, professional and ethical responsibility b-) Knowledge on standards used in engineering practices.
10 a-) Knowledge about business life practices such as project management, risk management, and change management b-) Awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions in the field of mechatronics engineering.
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planning, improving or changing the norms with a criticism.

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