GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SMART SENSORS AND THEIR BASIC APPLICATIONS/5171330
Course Title: SMART SENSORS AND THEIR BASIC APPLICATIONS
Credits 3 ECTS 7.5
Course Semester 2 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Students in this course know the basic principles of electronic measurement,
understand basic principles of sensors and smart sensors,
can design the basic smart sensor.
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face and research work
 --WEEKLY SCHEDULE
1. Week  Introduction to sensor fundamentals, sensors and transducers, smart sensors
2. Week  Basic concepts and principles of measurements in Electronics, Sensor fundamentals and their basic applications,
3. Week  Sensor signal conditioning: Bridge Circuits, Amplifiers for Signal Conditioning, sensors,
4. Week  Temperature Sensor, A/D Converters, Analog and Digital Data acquisition systems, D/A signal converting techniques, Digital Output Sensors,
5. Week  Basic concepts and main principles of smart sensors, Standards for Smart Sensing,
6. Week  Basic elements of a smart sensor, Hardware and software of smart sensors, Using MCUs/DSPs to Increase Sensor IQ
7. Week  Reliable Communications of smart sensors, Application Design of temperature sensor,
8. Week  An example of a smart sensor design: Design of a smart digital potentiometer, Midterm exam.
9. Week  An application of a smart sensor design: Design of a smart digital potentiometer,
10. Week  Design of a smart biosensors, magnetic, capacitive, humidity, temperature, strain gage etc,
11. Week  Technology Trends, The Next Phase of Sensing Systems, New developments and innovations on the smart sensors,
12. Week  Homework presentations
13. Week  Homework presentations
14. Week  Homework presentations
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
30
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
12
3
36
 Material Design and Implementation
0
 Report Preparing
4
8
32
 Preparing a Presentation
2
8
16
 Presentation
1
2
2
 Midterm Exam and Preperation for Midterm Exam
1
15
15
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement.X
2To complete and implement limited or incomplete data by using the scientific methods. To stick knowledge of different disciplinarians togetherX
3To consolidate engineering problems, develop proper method to solve and apply innovative solutions.X
4To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or processX
5To have comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6To design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process.X
7High level ability to define the required information, data and reach, assess.X
8To lead multi-disciplinary teams to take responsibility to define approaches for complex situations.X
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.X
11Awareness at new and developing application of profession and ability to analyze and study on those applications.X
12To interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.X
13Ability for effective oral and official communication skills in Turkish Language.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof.Dr. Mustafa BURUNKAYA)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/bmustafa)
 -- EMAIL(S) OF LECTURER(S)
   (bmustafa@gazi.edu.tr)