MMÜ647 - SENSORS and SENSING SYSTEMS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| SENSORS and SENSING SYSTEMS | MMÜ647 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | None | |||||
| Course language | English | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Drill and Practice Other: Homeworks, Exercises | |||||
| Instructor (s) | Departmental faculty | |||||
| Course objective | The objective of this course is to teach the sensing principles and fundamentals of sensors used in mechanical engineering and robotics. | |||||
| Learning outcomes |
| |||||
| Course Content | Introduction to sensing and sensors. Basic measurement concepts. Fundamentals of measurement systems: sensitivity, resolution, error, uncertainty, precision and accuracy. Light and image sensing principles. Vibration, shock and acceleration sensors. Echoranging ve acoustic principles and ultrasonic sensors. Navigation sensing and systems. Laser and radar rangefinder implementations. Touch sensing and tactile sensor principles. Electromagnetic sensing and sensors. Chemical and bio-chemical sensing instruments and methods. Microelectromechnical (MEMS) based sensors and applications. | |||||
| References | 1. Fraden, J., Handbook of Modern Sensors: Physics, Designs, and Applications, 3. Edition, Springer-Verlag, 2005. 2. Alciatore, D.G., Histand, M.B., Introduction to Mechatronics and Measurement Systems, 3. edition, McGraw-Hill, 2005. 3. Jon S. Wilson, Sensor Technology Handbook, Elseveir, 2005. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to sensing and sensors |
| Week 2 | Fundamentals of measurement systems: sensitivity, resolution, error, uncertainty, precision and accuracy |
| Week 3 | Computerized data collection methods |
| Week 4 | Discrete sampling and analysis of time-variable signals and statistical analysis of experimental data, and uncertainty analysis, noise |
| Week 5 | Light and image sensing principles |
| Week 6 | Navigation sensing and systems. Laser and radar rangefinder implementations |
| Week 7 | Midterm exam |
| Week 8 | Vibration, shock and acceleration sensors. |
| Week 9 | Echoranging and acoustic principles and ultrasonic sensors |
| Week 10 | Electromagnetic sensing and sensors |
| Week 11 | Touch sensing and tactile sensor principles. |
| Week 12 | Midterm exam |
| Week 13 | Chemical and bio-chemical sensing instruments and methods |
| Week 14 | Microelectromechnical (MEMS) based sensors and applications. |
| Week 15 | |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 4 | 10 |
| Presentation | 1 | 25 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 2 | 35 |
| Final exam | 1 | 30 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 7 | 70 |
| Percentage of final exam contributing grade succes | 1 | 30 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 1 | 34 | 34 |
| Project | 0 | 0 | 0 |
| Homework assignment | 4 | 12 | 48 |
| Midterms (Study duration) | 2 | 10 | 20 |
| Final Exam (Study duration) | 1 | 12 | 12 |
| Total Workload | 36 | 77 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Obtain advanced level theoretical and applied knowledge by gaining expertise in different areas of Mechanical Engineering. | X | ||||
| 2. Have knowledge, skills and and competence to develop novel approaches in science and technology. | X | ||||
| 3. Use the tools of the basic and engineering sciences in the solution of complex engineering problems. | X | ||||
| 4. Contribute to the science and technology literature by publishing results of their academic work. | X | ||||
| 5. Carry out a comprehensive research study that results in a new scientific method or leads to a technological product/process, that brings innovation to science/technology, or is an application of a known methodology into a new field. | X | ||||
| 6. Are able to carry out an advanced level research work in his/her field independently. | X | ||||
| 7. Take the responsibility and develop new strategical approaches for solving unforeseen complicated problems in engineering. | X | ||||
| 8. Are able to show leadership when faced with problems related to mechanical engineering. | X | ||||
| 9. Are aware of the life-long learning philosophy and its opportunities in effective monitoring of current developments in Mechanical Engineering. | X | ||||
| 10. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English. | X | ||||
| 11. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. | X | ||||
| 12. Use the information and communication technologies at the advanced level as required by the area of specialization and work. | X | ||||
| 13. Are aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility. | X | ||||
| 14. Uses the information which he/she absorbs from his/her field, the problem solving and practical skills in interdiciplinary studies. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest