EXPERIMENTAL METHODS
- Course
- MCLE403 - EXPERIMENTAL METHODS
- Department
- Mechatronic Engineering - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 2 + 0 + 3
- Course Coordinator(s)
- Prof. Dr. Serkan ABBASOĞLU
- Prerequisite
- -
- Keywords
- -
Course Description
This course aimes to provide students with theory and hands-on laboratory experience, including simple and more complex experiments and computerized data acquisition. Strong emphasis is placed on problem solving, professional judgment, and the importance of accuracy, error, and uncertainty analysis. Students will experience experimental complexity, different instrumentation, and apply knowledge from their science courses in order to design experiments and judge quality and precision of their measurements. The topics include: Basic concepts of measurement methods and planning and documenting experiments. Typical sensors, transducers, and measurements system behavior. Data sampling and computerized data acquisition systems. Statistical methods and uncertainty analysis applied to data reduction. Laboratory experiments with measurement of selected material properties and solid mechanical and fluid/thermal quantities.
EXPERIMENTAL METHODS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm | Midterm | 25 |
| Total | 25 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | The Importance of Experiments in Science and Engineering (LO1-LO5-LO6) |
| Week 2 | Technical Report Writing and Stages of a Typical Experiment (LO1-LO2 -LO5-LO6) |
| Week 3 | Measurement Concept and Instrumentation (LO3) |
| Week 4 | Dimension Measurement (LO3-LO5-LO6) |
| Week 5 | Sensors and Actuators (LO4) |
| Week 6 | Temperature Sensors (LO4-LO5-LO6) |
| Week 7 | Pressure Measurement (LO3-LO5-LO6) |
| Week 8 | Mid-term |
| Week 9 | Mid-term |
| Week 10 | Weight & Forces Measurement and Strain Measurement (LO3-LO5-LO6) |
| Week 11 | Experimental Uncertainties (LO6) |
| Week 12 | Accelerometers (LO4-LO5-LO6) |
| Week 13 | Light Sensors (LO4-LO5-LO6) |
| Week 14 | Experiment & Data Analysis (LO2-LO5-LO6) |
| Week 15 | Revision |
Reference Books & Course Materials
- 01 J.P. Holman, 8 th Edition, Experimental Methods for Engineers, McGraw-Hill Series in Mechanical Engineering
- 02 Kirkup L., 2019, Experimental Methods for Science and Engineering Students: An Introduction to Analysis and Presentation of Data, Cambridge University Press, UK
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- Should be able to write effective reports, understand written reports, and prepare design and production reports.
- Should have the ability to make effective presentations.
- Should have the ability to give and have clear and understandable instructions.
- Should gain consciousness (awareness) about the necessity of lifelong learning.
- Should have the ability to access information.
- Should have the ability to follow developments in science and technology and constantly renew himself/herself.
- Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
- Should gain knowledge about the standards used in engineering applications.
- Should gain knowledge about project management, risk management, and change management practices in business life.
- Should gain awareness about entrepreneurship, and innovation.
- Should gain knowledge about development in sustainability.
- Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
- Awareness should be gained about the legal consequences of engineering solutions.
- Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
- Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
- Should have the ability to detect, define, formulate, and solve complex engineering problems.
- Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
- Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
- Should have the ability to apply modern design methods.
- Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
- Should have the ability to use information technologies effectively.
- Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
- Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
- Should have the ability to work in intradisciplinary teams.
- Should have the ability to work in interdisciplinary teams.
- Should have the skills to work individually.
- Should have the ability to communicate effectively verbally and in writing.
- Should have the knowledge of at least one foreign language.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.