ECTS - Biomimetic and Bioinspired Engineering Design

Biomimetic and Bioinspired Engineering Design (MDES641) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Biomimetic and Bioinspired Engineering Design MDES641 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 This course intends to give a sound background and advanced practice about biomimetic design with an extensive study on a biological systems and a capstone design practice on a similar topic in engineering domain. The course aims to develop fundamental design phenomena of the design in nature. The course aims to bridge biological systems domain and engineering systems domain on several case studies. Students will gain the ability of designing robot-like machines mimicking biological systems.
Course Learning Outcomes The students who succeeded in this course;
  • This course is an advanced application course of the background knowledge on engineering for biomimetic design of machines, systems, and robots.
Course Content definitions, terminology and concepts in biomimetics; review of biological systems for kinematic and dynamic analysis, for structural analysis, and for behavioral modeling; reverse engineering as applied to biological systems; mapping concepts of biological systems on the engineering systems; theories and application principles of modeling and scal

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 What is biomimetics, Historical development and trends. Biomimetic success stories Case studies. -
2 Modeling of systems in biology domain; Kinematic and dynamic analysis. -
3 Modeling of systems in biology domain; Materials, Force, and stress analysis. -
4 Modeling of systems in biology domain; Behavioral analysis, cognitive systems. -
5 Case Studies -
6 Case Studies. -
7 Modeling of systems in engineering domain; Concepts and conceptual design. -
8 Modeling of systems in engineering domain; Models and scaling theories. -
9 Case Studies -
10 Mapping of systems in biology and engineering domains; Concepts and theories. -
11 Mapping of systems in biology and engineering domains; Concepts and theories. -
12 Case Studies. -
13 Case Studies -
14 Case Studies. -
15 Overall review -
16 Final exam -

Sources

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 10
Homework Assignments - -
Presentation - -
Project 2 40
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 20
Final Exam/Final Jury 1 30
Toplam 9 100
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 Ability to carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

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
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
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