ECTS - Measurement and Instrumentation

Measurement and Instrumentation (ENE304) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Measurement and Instrumentation ENE304 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Question and Answer.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Gizem Nur Bulanık Durmuş
Course Assistants
Course Objectives This course aims to teach students the role of experimental studies in engineering, to provide an understanding of experimental data analysis methods, to introduce the devices and methods used in the measurement of physical quantities such as pressure, temperature, and flow, to teach the design of experiments related to different physical phenomena and the necessary measurement techniques, and to demonstrate the processing and analysis of collected experimental data.
Course Learning Outcomes The students who succeeded in this course;
  • The importance of experimental working in engineering.
  • Get skills in experimental working, measurement, analysis of experimental data.
  • The knowledge of the measurement apparatus and how to use them in measuring variant physical quantities.
  • Get skills in design of an experiment for variant physical cases and measure the necessary quantities and process and analyze the collected data.
Course Content Importance of experiments in engineering, experimental methods, basic concepts, measurement and dynamic response; statistical analysis of experimental data, error types and error analysis, uncertainity, probability, chi-square test, least square methods, coefficient of correlation; measurement of basic electrical quantities, pressure, flow, tempera

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction and Basic Concepts; importance of experiments in engineering, experimental methods, basic concepts and definitions Lecture Notes
2 Analysis of Experimental Data; types of errors, error analysis, and the concept of uncertainty Lecture Notes
3 Analysis of Experimental Data; statistical analysis, probability, chi-square test, and least squares method Lecture Notes
4 Measurement of Basic Electrical Quantities and Sensors; measurement principles and dynamic response Lecture Notes
5 Displacement, strain, and area measurements Lecture Notes
6 Pressure and temperature measurements Lecture Notes
7 Flow Measurement Lecture Notes
8 Midterm Lecture Notes
9 Thermal and transport property measurements Lecture Notes
10 Thermal and nuclear radiation measurements Lecture Notes
11 Air pollution sampling and measurements Lecture Notes
12 Data Acquisition and Evaluation; processing and interpretation of experimental data Lecture Notes
13 Midterm Lecture Notes
14 Experimental planning and measurement strategies Lecture Notes
15 Experimental Design Lecture Notes
16 Final Exam

Sources

Course Book 1. Experimental Methods for Engineers, J. P. Holman, 7th Edition, McGraw-Hill, 2001
Other Sources 2. Introduction to Engineering Experimental, Anthony J. Wheeler and Ahmad R. Ganji, 3/E, 2010, Prentice Hall
3. Measurement and Instrumentation Principles, Alan S. Morris, 3rd Edition, Butterwort-Heinemann, 2001

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report 1 20
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 40
Toplam 4 100
Percentage of Semester Work 60
Percentage of Final Work 40
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 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary teams. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 The broad education necessary to understand the impact of engineering solutions in a global and societal context. X
9 Recognition of the need for, and an ability to engage in life-long learning. X
10 Knowledge of contemporary issues. X
11 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
12 Skills in project management and recognition of international standards and methodologies

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report 1 10 10
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 125