MMU646 - SENSING and SENSORS

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
SENSING and SENSORS MMU646 Any Semester/Year 3 0 3 8
PrequisitesNone.
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesDiscussion
Other: Individual work, homework, exercises.  
Instructor (s)Öğr. Gör. Dr. Bilsay Sümer, Öğr. Gör. Dr.Özgür Ãœnver 
Course objectiveThe objective of this course is to teach the sensing principles and fundamentals of sensors used in mechanical engineering and robotics. 
Learning outcomes
  1. To be able to learn electrical measuring systems, computerized data collection methods, discrete sampling and analysis of time-variable signals, statistical analysis of experimental data, and uncertainty analysis,
  2. To be able to learn physical principles of sensing,
  3. To be able to learn the operation principles of acoustic, light, laser, tactile and chemical sensors,
  4. To be able to learn the new generation sensors and their manufacturing techniques. ,
Course ContentIntroduction 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.  
References1. 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

WeeksTopics
Week 1Introduction to sensing and sensors
Week 2Fundamentals of measurement systems: sensitivity, resolution, error, uncertainty, precision and accuracy
Week 3Computerized data collection methods
Week 4Discrete sampling and analysis of time-variable signals and statistical analysis of experimental data, and uncertainty analysis, noise
Week 5Light and image sensing principles
Week 6Navigation sensing and systems. Laser and radar rangefinder implementations
Week 7Midterm exam
Week 8Vibration, shock and acceleration sensors.
Week 9Echoranging and acoustic principles and ultrasonic sensors
Week 10Electromagnetic sensing and sensors
Week 11Touch sensing and tactile sensor principles.
Week 12Midterm exam
Week 13Chemical and bio-chemical sensing instruments and methods
Week 14Microelectromechnical (MEMS) based sensors and applications.
Week 15
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments410
Presentation125
Project00
Seminar00
Midterms235
Final exam130
Total100
Percentage of semester activities contributing grade succes770
Percentage of final exam contributing grade succes130
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14684
Presentation / Seminar Preparation13434
Project000
Homework assignment41248
Midterms (Study duration)21020
Final Exam (Study duration) 11212
Total Workload3677240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has the theoretical and practical knowledge to improve and deepen the information in the different fields of the mechanical eng ineering at the level of expertize based on the undergraduate engineering outcomes.    X
2. Realizes the interaction between the interdiciplines in which the mechanical engineering applications take place.    X
3. Uses the theoretical and practical knowledge at the levels of expertize in which he/she gains from his/her field in solving engineering problems.    X
4. Has the ability to be able to interpret and develop new information via combining his/her knowledge in which he/she becomes expert with the knowledge that comes from different diciplines.    X
5. Has the abilitiy to be able to solve the problems in engineering applications using research methods.    X
6. Be able to perform an advanced level work in his/her field independently.    X
7. Takes the responsibility and develops new strategical approaches for solving encountered and unforeseen complicated problems in engineering applications     X
8. Be able to lead when the problems encountered are in the fields of the mechanical engineering in which he/she specialized     X
9. Evaluates the information and skills which he/she gains at the level of expertize in the specifics of mechanical engineering and adjusts his/her learnings as and when needed.   X 
10. Systematically transfers the current progress in engineering field and his/her own studies to the groups in his/her field and to the groups out of his/her fields in written, oral and visual presentations supported by quantitative and qualitative data .     X
11. Establishes oral and written communication skills by using one foreign language at least at the level of B1 European Language Portfolia.   X 
12. Uses the information and communication technologies at the advanced level with the computer softwares as required by the area of specialization and work.     X
13. Develops strategy, policy and application plans to the problems at which engineering solutions are needed and evaluates the results within the quality processes framework.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