GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INSTRUMENTATION AND SIGNAL PROCESSING/5261336
Course Title: INSTRUMENTATION AND SIGNAL PROCESSING
Credits 3 ECTS 7.5
Course Semester 1 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
Introduction to Mesurement.
Sources of measurement standards and measurement errors. Measurement technique
The definitions of the electrical concept and concept of transformations,
Strain-gages, Force and Torque measuring devices, Position,
Velocity and Acceleration measurement devices
Temperature measurement devices
Flow (air and liquid) measuring devices
Examination of the parameter calibration of measuring devices
Introduction to data collection and signal processing. Types of signal.
Checking analog and digital input and output of data with the data collection cards using data collection software.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  General Definition
2. Week  Electrical concepts and transformations
3. Week  Sensor structure and properties
4. Week  Transducer structure and properties
5. Week  Analysis of data structures and types of analog and digital signal
6. Week  Analysis of properties and structures of the data acquisition cards (Advantech, BMCM)
7. Week  Midterm Examination
8. Week  Introduction to data collection software (Matlab, Labview, DasyLab, vb.)
9. Week  File registration forms in the data collection sofrware
10. Week  Data collection tehniques
11. Week  Making analog signal input applications with the data acquisition software
12. Week  Making analog signal output applications with the data acquisition software
13. Week  Making closed loop control applications with the data acquisition software
14. Week  Making other applications with data collection software
15. Week  Making other applications with data collection software
16. Week  Final Examination
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
0
20
 Assignment
2
20
 Application
0
0
 Projects
2
20
 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
0
 Material Design and Implementation
0
 Report Preparing
14
2
28
 Preparing a Presentation
14
1
14
 Presentation
2
2
4
 Midterm Exam and Preperation for Midterm Exam
14
2
28
 Final Exam and Preperation for Final Exam
14
2
28
 Other (should be emphasized)
7
2
14
 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
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
 -- NAME OF LECTURER(S)
   (Assist. Prof. Hasan Basri ULAŞ)
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/bulas/academic)
 -- EMAIL(S) OF LECTURER(S)
   (bulas@gazi.edu.tr , hasanbasriulas@gmail.com)