GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Sensors and Signal Conditioning (TVE 1)/OM 369
Course Title: Sensors and Signal Conditioning (TVE 1)
Credits 2 ECTS 4
Course Semester 5 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
Upon completion of the course the student will be able to:
Explain basic concepts about sensors.
Explain types of resistive sensors and their working principles.
Explain signal conditioning process of resistive sensors.
Explain variable reactance sensors.
Explain self generating sensors.
Explain basic amplifier circuits which are used for signal conditioning.
Explain and draw basic filter circuits.
Explain the structure of analog to digital converters and their working principles.
Explain the sensors used in automotive area.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Sensor terminology, classification of sensors, static and dynamic characteristics of measurement systems, characteristics of sensors
2. Week  Resistive sensors (potentiometers, strain gautes, RTD's, thermistors)
3. Week  Resistive sensors (magnetoresistive sensors, light dependent resistors, resistive humidity sensors, resistive gas sensors, liquid conductivity sensors
4. Week  Signal conditioning for resistive sensors
5. Week  Variable reactance sensors (inductive, capacitive, electromagnetic sensors)
6. Week  Signal conditioning for variable reactance sensors
7. Week  Self generating sensors (thermoelectricity, piezoelectricity, pyroelectricity, photovoltaic and electrochemical sensors)
8. Week  Midterm exam, Signal conditioning for self generating sensors
9. Week  Amplifiers
10. Week  Amplifiers
11. Week  Filters
12. Week  Analog to digital converters
13. Week  Automotive sensors
14. Week  Automotive sensors
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
2
28
 Weekly Tutorial Hours
0
 Reading Tasks
0
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
0
 Report Preparing
3
4
12
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
4
4
16
 Final Exam and Preperation for Final Exam
4
4
16
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Capability of obtaining adequate knowledge in mathematics, science and engineering subjects in the automotive field; applying theoretical and practical knowledge for modeling and solving engineering problems in this field.X
2Capability of formulation and solving engineering problems; for this purpose selecting and appliying the appropriate analysis and modeling methods.X
3Capability of evaluation of engine and vehicle design projects, designing any engine and vehicle parts, to bring prototype and series production stage.X
4Capability of design of complex systems for specific needs, component or process in whole or in part.X
5Capability of development of modern methods and tools necessary for engineering applications, selection and effective use and to use of information technologies effectively.X
6Capability of analysis of the engineering problems and for the solution designing and performing experiments, collecting data, analyzing and interpretting the results.X
7Capability of work in team and individual and ability to work effectively with other disciplines.X
8Capability of effective communication both verbal and written in Turkish and at least one foreign language konwledge
9Capability of access to information in the framework of lifelong learning, to follow the developments in science and technology and self-improvement.X
10Resposibility of professional and ethical liability.
11Awareness of leadership, entrepreneurship, innovation and sustainable development in business life.X
12Being competent in the engineering applications, legislations, legal consequences and in the field of occupational health and safety.X
13Capability of research and application in the subjects of noise, environment and emissions.X
14Capability of making education in the field.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Fatih ŞAHİN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/fasahin)
 -- EMAIL(S) OF LECTURER(S)
   (fasahin@gazi.edu.tr)