School/Faculty/Institute Faculty of Engineering
Course Code ME 471
Course Title in English Theory of Machines and Vibrations
Course Title in Turkish Makina ve Titreşim Teorisi
Language of Instruction EN
Type of Course Flipped Classroom,Lecture
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: none Lab: none Other: none
Estimated Student Workload 135 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites DYN 201 - Engineering Mechanics: Dynamics
MATH 213 - Differential Equations
Expected Prior Knowledge Prior knowledge in dynamics and in ordinary and partial differential equations is expected.
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To acquire a basic knowledge and understanding of the basic principles of mechanisms, machine dynamics and mechanical vibrations to develop skills in conducting kinematic analysis of mechanisms, force analysis of mechanisms/machines and vibration analysis of mechanical systems.
Course Description This course provides a comprehensive introduction to theory of machines and mechanical vibrations. The following topics are covered: basic concepts, kinematic analysis of mechanisms, introduction to dynamics of machines, static and dynamic force analysis, vibrations of single degree of freedom systems, vibrations of multi degree of freedom systems, vibration measurements and isolation.
Course Description in Turkish Bu derste; makine teorisi ve mekanik titreşimlerin temel kavramları şu konu başlıklar altında kapsamlı bir şekilde incelenmektedir: temel tanımlar, mekanizmaların kinematik analizi, makina dinamiğine giriş, statik ve dinamik kuvvet analizi, tek serbestlik dereceli sistemlerin titreşimleri, çok serbestlik dereceli sistemlerin titreşimleri, titreşim ölçümleri ve izolasyonu.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) conduct kinematic analysis of basic mechanisms
2) perform force analysis of mechanisms/machines
3) model and solve single degree of freedom systems for vibration analysis
4) perform vibration analysis of multi degree of freedom systems
5) demonstrate solutions for reducing vibrations of mechanical systems
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date ALİ ÇINAR , February 2024
Course Coordinator ALİ ÇINAR
Semester Fall
Name of Instructor

Course Contents

Week Subject
1) Basic Concepts, Introduction to Mechanisms.
2) Basic Mechanisms, Degrees of Freedom of Mechanisms.
3) Kinematic Analysis of Mechanisms: Position Analysis.
4) Kinematic Analysis of Mechanisms: Velocity and Acceleration Analyses.
5) Introduction to Dynamics of Machines.
6) Static Force Analysis.
7) Dynamic Force Analysis.
8) Dynamic Force Analysis, Introduction to Mechanical Vibrations.
9) Undamped and Damped Vibrations of Single Degree of Freedom Systems.
10) Forced Vibrations of Single Degree of Freedom Systems.
11) Vibrations of Multi Degree of Freedom Systems.
12) Vibrations of Multi Degree of Freedom Systems.
13) Vibration Measurements and Isolation.
14) Vibration Measurements and Isolation.
14) Final Exam/Project/Presentation Period.
16) Final Exam/Project/Presentation Period.
Required/Recommended ReadingsDesign of Machinery: An Introduction to The Synthesis and Analysis of Mechanisms and Machines, R.L. Norton, McGraw-Hill, 2011. Engineering Vibration, D.J. Inman, 4th Ed., Prentice Hall, 2013.
Teaching MethodsContact hours using “Flipped Classroom” as an active learning technique.
Homework and ProjectsA project on kinematic analysis of mechanisms will be assigned.
Laboratory Worknone
Computer UseNeeded (e.g., Matlab software).
Other Activitiesnone
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 0
Application 12 % 15
Project 1 % 20
Midterm(s) 2 % 65
TOTAL % 100
Course Administration cinara@mef.edu.tr
0536-704-0245
Instructor’s office and phone number: A Block-5th Floor A543 office hours: Thursday / Friday 13:00-14:00 email address: cinara@mef.edu.tr Rules for attendance: Minimum of 70% attendance required. Missing a midterm: Provided that proper documents of excuse are presented, make-up will be given. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations. Statement on plagiarism: YÖK Regulations.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 1 70
Project 1 15 10 25
Midterm(s) 2 18 2 40
Total Workload 135
Total Workload/25 5.4
ECTS 5