ECTS - Computer Aided Machine Design

Computer Aided Machine Design (ME610) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computer Aided Machine Design ME610 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The course covers Machine Design Methodology; strategies, objectives, analysis, synthesis. Machine kinematic design, stress analysis, fracture and fatigue, design for strength, design for rigidity. Design optimization, numerical methods. Applications of design algorithm for several machine elements. The objective of this course is to teach computational approaches for machine design optimization, design objectives, design variables and design constraints for various machine elements, application of design by VBA algorithm and CAD.
Course Learning Outcomes The students who succeeded in this course;
  • The students will have the ability to 1. Analyze the response of different machines, components and structures under various kind of loadings 2. Define a physical problem of machine design as an optimization problem by defining objective functions, constraints, etc. 3. Conduct computer aided kinematic analysis 4. Conduct computer aided stress analysis 5. Design machine elements under dynamic loading
Course Content The objective of this course is to improve the research and communication skills of students early in their graduate program to help them better plan, conduct and present their research and thesis work.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Machine Design Methodologies
2 Machine Static Design
3 Machine Kinematic Design
4 Basics of mathematical approaches for machine modeling
5 Basics of mathematical approaches for machine modeling
6 Basics of Numerical approaches for machine modeling
7 Basics of Numerical approaches for machine modeling
8 Design Optimization Methodologies
9 Design Optimization Methodologies
10 The use of specialized programs in Machine Design
11 The use of specialized programs in Machine Design
12 Use of finite element analysis to analyze mechanical systems.
13 Use of finite element analysis to analyze mechanical systems.
14 Design of machines under dynamic loading conditions


Course Book 1. Dimarogonas, A. D. (1989). Computer aided machine design. Prentice-Hall, Inc..

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application 1 10
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 10
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work
Percentage of Final Work 100
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 expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement.
2 Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering.
3 To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines.
4 Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed.
5 Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions.
6 Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs.
7 Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process.
8 Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility.
9 To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level.
10 Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments.
11 To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications.
12 Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory 7 2 14
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Homework Assignments 2 6 12
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 140