ECTS - Statistical Analysis and Instrumentation
Statistical Analysis and Instrumentation (MFGE312) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Statistical Analysis and Instrumentation | MFGE312 | 6. Semester | 3 | 1 | 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, Drill and Practice, Team/Group. |
| Course Lecturer(s) |
|
| Course Objectives | This course aims to give student an experience of experimental design, measurement instrumentations and tools. In addition, data analysis types, statistical data interpretations are introduced. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Basic concepts, analysis of experimental data, working principles of basic electrical measurements and sensing devices. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Design of experiments (DoE) | Chapter 1 |
| 2 | Introduction to Design of experiments (DoE) | Chapter 2 |
| 3 | Basic concepts: Active and passive instruments, analog and digital instruments, readability, hysteresis, calibration, standards, dimensions and units, measurement systems, etc. | Chapter 3 |
| 4 | 0, 1st and 2nd order measurement systems | Chapter 4 |
| 5 | 0, 1st and 2nd order measurement systems | Chapter 5 |
| 6 | Analog and digital meters, Input circuits, amplifiers, signal conditioning, output recorders, transducers | Chapter 6 |
| 7 | Analysis of Experimental Data: Error and uncertainty analysis, standard deviation, probability distributions, method of least squares, multivariable regression, curve fitting | Chapter 7 |
| 8 | Analysis of Experimental Data: Error and uncertainty analysis, standard deviation, probability distributions, method of least squares, multivariable regression, curve fitting | Chapter 8 |
| 9 | Analysis of Experimental Data: Error and uncertainty analysis, standard deviation, probability distributions, method of least squares, multivariable regression, curve fitting | Chapter 9 |
| 10 | Displacement, area, length, angle and surface roughness measurement measurement | Chapter 10 |
| 11 | Temperature Measurement | Chapter 11 |
| 12 | Temperature Measurement | Chapter 12 |
| 13 | Force, torque and strain measurements | Chapter 13 |
| 14 | Force, torque and strain measurements | Chapter 14 |
| 15 | Project Presentations | Chapter 15 |
| 16 | Final exam | All chapters |
Sources
| Course Book | 1. Experimental Methods for Engineers, J.P.Holman, 8Th Ed., Mc Graw Hill |
|---|---|
| Other Sources | 2. Theory and Design for Mechanical Measurements, Richard S. Figliola, Donald. E. Beasley, 6th Edition, Wiley |
| 3. Ölçme Tekniği: Boyut, Basınç, Akış ve Sıcaklık Ölçmeleri, Prof. Dr. Osman F. Genceli, Birsen Yayınevi, 2016 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 1 | 5 |
| Laboratory | 1 | 5 |
| Application | - | - |
| Field Work | 1 | 5 |
| Special Course Internship | 1 | 5 |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | 1 | 10 |
| Project | 1 | 20 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 20 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 8 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| 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 | Applies knowledge in mathematics, science, and computing to solve engineering problems related to manufacturing technologies. | X | ||||
| 2 | Analyzes and identifies problems specific to manufacturing technologies. | X | ||||
| 3 | Develops an approach to solve encountered engineering problems, and designs and conducts models and experiments. | X | ||||
| 4 | Designs a comprehensive manufacturing system (including method, product, or device development) based on the creative application of fundamental engineering principles, within constraints of economic viability, environmental sustainability, and manufacturability. | X | ||||
| 5 | Selects and uses modern techniques and engineering tools for manufacturing engineering applications. | X | ||||
| 6 | Effectively uses information technologies to collect and analyze data, think critically, interpret, and make sound decisions. | X | ||||
| 7 | Works effectively as a member of multidisciplinary and intra-disciplinary teams or individually; demonstrates the confidence and necessary organizational skills. | X | ||||
| 8 | Communicates effectively in both spoken and written Turkish and English. | |||||
| 9 | Engages in lifelong learning, accesses information, keeps up with the latest developments in science and technology, and continuously renews oneself. | |||||
| 10 | Demonstrates awareness and a sense of responsibility regarding professional, legal, ethical, and social issues in the field of Manufacturing Engineering. | |||||
| 11 | Effectively utilizes resources (personnel, equipment, and costs) to enhance national competitiveness and improve manufacturing industry productivity; conducts solution-oriented project and risk management; and demonstrates awareness of entrepreneurship, innovation, and sustainable development. | |||||
| 12 | Considers the health, environmental, social, and legal consequences of engineering practices at both global and local scales when making decisions. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | 2 | 1 | 2 |
| Application | |||
| Special Course Internship | |||
| Field Work | 1 | 3 | 3 |
| Study Hours Out of Class | 12 | 2 | 24 |
| Presentation/Seminar Prepration | 1 | 4 | 4 |
| Project | 1 | 30 | 30 |
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 5 | 5 |
| Prepration of Final Exams/Final Jury | 1 | 5 | 5 |
| Total Workload | 121 | ||