ME 307 Measurement TechniquesMEF UniversityDegree Programs PsychologyGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code ME 307
Course Title in English Measurement Techniques
Course Title in Turkish Ölçme Tekniği
Language of Instruction EN
Type of Course Flipped Classroom,Laboratory Work,Lecture
Level of Course Introductory
Semester Spring
Contact Hours per Week
Lecture: 2 Recitation: None Lab: 2 Other: None
Estimated Student Workload 130.5 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites PHYS 102 - Physics II | PHYS 104 - Physics II
Expected Prior Knowledge Prior knowledge of electricity, dynamics, thermodynamics and strength of materials is expected.
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn the basic principles of measurement techniques to design and conduct experiments and analyze and evaluate experimental data.
Course Description Topics covered include: basic concepts of measurement; system response and dynamic analysis of measurement, uncertainty and error analysis; statistical analysis; report writing and presentation; displacement, strain, rotational speed, pressure, temperature, acoustic and vibration measurements.
Course Description in Turkish Ders şu konu başlıklarını içermektedir: ölçmenin temel kavramları; sistem cevabı ve ölçmenin dinamik analizi, belirsizlik ve hata analizi; istatiksel analiz; rapor yazma ve sunum tekniği; deplasman, gerinim, dönme hızı, basınç, sıcaklık, akustik ve titreşim ölçümleri.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) apply the basic concepts of measurement, system response and dynamic analysis of measurement
2) conduct experiments, analyze experimental data using statistical methods, interpret the results and draw conclusions
3) report the results of experiments
4) perform an internet search or literature review and acquire knowledge for an advanced measurement technique or system
5) present the outcomes of a search on an advanced measurement technique/system verbally with a range of audiences
6) demonstrate the ability to work in a team
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
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 , March 2024
Course Coordinator ALİ ÇINAR
Semester Spring
Name of Instructor Assoc. Prof. Dr. ALİ ÇINAR

Course Contents

Week Subject
1) Basic Concepts of Measurement.
2) System Response and Dynamic Analysis of Measurement.
3) System Response and Dynamic Analysis of Measurement.
4) Error and Uncertainty Analysis.
5) Statistical Analysis of Measured Data.
6) Statistical Analysis of Measured Data.
7) Report Writing and Presentation.
8) Displacement Measurements.
9) Rotational Speed Measurements.
10) Strain Measurements
11) Temperature Measurements.
12) Temperature Measurements.
13) Acoustic Measurements.
14) Vibration Measurements.
15) Final Exam/Project/Presentation Period.
16) Final Exam/Project/Presentation Period.
Required/Recommended ReadingsExperimental Methods for Engineers, J.P. Holman, McGraw-Hill, Eight Edition, 2012 (required). Measurement Systems: Application and Design, E.O. Doebelin, McGraw-Hill, 2003 (recommended). Theory and Design for Mechanical Measurements, R.S. Figliola, D.E. Beasley, Wiley, 2015 (recommended).
Teaching MethodsContact hours using “Flipped Classroom” as an active learning technique.
Homework and ProjectsStudents are required to write an essay on measurement techniques and present it. In-class exercises and quizzes will be done throughout the semester.
Laboratory WorkDisplacement, strain, rotational speed, pressure, temperature, acoustic and vibration measurements will be carried out by students.
Computer UseNeeded for analysis and evaluation of experimental data.
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 0
Laboratory 7 % 50
Quiz(zes) 1 % 15
Homework Assignments 1 % 15
Midterm(s) 1 % 20
TOTAL % 100
Course Administration cinara@mef.edu.tr
0536-704-0245
Instructor’s office and phone number: 543 (A Block - 5th Floor) office hours: Monday 13:00-14:00, Thursday 11:00-12:00 email address: cinara@mef.edu.tr Rules for attendance: Minimum of 70% attendance required. Missing an experiment: Provided that proper documents of excuse are presented, each missed experiment by the student should be repeated afterwards. 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. Academic dishonesty and 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 5 0.5 2 0.5 15
Laboratory 7 2 2 8 84
Homework Assignments 1 8 1 1 10
Quiz(zes) 3 2 1 0.5 10.5
Midterm(s) 1 14 1.5 15.5
Total Workload 135
Total Workload/25 5.4
ECTS 5