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 | Elective 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 Lecturer(s) |
|
| 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;
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| 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 | Gains adequate knowledge in mathematics, science, and relevant engineering disciplines and acquires the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems. | |||||
| 2 | Gains the ability to identify, formulate, and solve complex engineering problems and the ability to select and apply appropriate analysis and modeling methods for this purpose. | X | ||||
| 3 | Gains the ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements and to apply modern design methods for this purpose. | |||||
| 4 | Gains the ability to select and use modern techniques and tools necessary for the analysis and solution of complex engineering problems encountered in engineering applications and the ability to use information technologies effectively. | |||||
| 5 | Gains the ability to design experiments, conduct experiments, collect data, analyze results, and interpret findings for investigating complex engineering problems or discipline specific research questions. | |||||
| 6 | Gains the ability to work effectively in intra-disciplinary and multi-disciplinary teams and the ability to work individually. | X | ||||
| 7 | a) Gains the ability to communicate effectively in written and oral form, b) Gains acquires proficiency in at least one foreign language, the ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | |||||
| 8 | Gains awareness of the need for lifelong learning and the ability to access information, follow developments in science and technology, and to continue to educate him/herself | X | ||||
| 9 | a)Gains the ability to behave according to ethical principles, awareness of professional and ethical responsibility. b) Gains knowledge of the standards utilized in energy systems engineering applications. | |||||
| 10 | Gains knowledge on business practices such as project management, risk management and change management; awareness about entrepreneurship, innovation; knowledge on sustainable development. | |||||
| 11 | a) Gain awareness of the effects of Energy Systems Engineering applications on health, environment and safety in universal and societal dimensions. b) Gain knowledge of the problems of the era reflected in the field of engineering; gain awareness of the legal consequences of engineering solutions. | |||||
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 | ||