ECTSComputer 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 Elective Courses 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type Elective Courses
Course Level Ph.D.
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
Major Area Courses X
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 the ability to understand and apply knowledge in the fields of mathematics, science and basic sciences at the level of expertise.
2 Gains the ability to access wide and deep knowledge in the field of Engineering by doing scientific research with current techniques and methods, evaluate, interpret and implement the gained knowledge.
3 Being aware of the latest developments his/her field of study, defines problems, formulates and develops new and/or original ideas and methods in solutions.
4 Designs and applies theoretical, experimental, and model-based research, analyzes and interprets the results obtained at the level of expertise.
5 Gains the ability to use the applications, techniques, modern tools and equipment in his/her field of study at the level of expertise.
6 Designs, executes and finalizes an original work process independently.
7 Can work in interdisciplinary and interdisciplinary teams, lead teams, use the information of different disciplines together and develop solution approaches.
8 Pays regard to scientific, social and ethical values in all professional activities and acquires responsibility consciousness at the level of expertise.
9 Contributes to the literature by communicating the processes and results of his/her academic studies in written form or orally in national and international academic environments, communicates effectively with communities and scientific staff working in the field of specialization.
10 Gains the skill of lifelong learning at the level of expertise.
11 Communicates verbally and in written form using a foreign language at least at the European Language Portfolio B2 General Level.
12 Recognizes the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, being aware of the limitations they place on engineering applications.

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