FÄ°Z629 - COMPUTER AIDED DATA ACQUISITION and ANALYSES

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
COMPUTER AIDED DATA ACQUISITION and ANALYSES FÄ°Z629 Any Semester/Year 3 0 3 6
Prequisitesnone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Drill and Practice
 
Instructor (s)Assigned by Department of Physics Engineering 
Course objectiveTo teach the introductory level concepts of designing suitable hardware and software for computer controlled experiments. 
Learning outcomes
  1. Gains information on the interfaces that are used for computer controlled experiments.
  2. Learns at least one of the data acquisition interfaces (i.e. GPIB, DAQ, RS232).
  3. Performs a computer-controlled experiment designed by herself/himself by using software like Labview.
Course Content Detectors and sensors
Analogue I/O Hardware
Binary Hardware
GPIB, DAQ and RS232 interfaces
Data formats and files
Planning and testing
I/O software development
Data analyses
 
References T.P.Morrison, The Art of Computerized Measurement, Oxford Science Publications (1997)
J. Travis,Labview for Everyone 2nd Edition, Prentice Hall (2002)
 

Course outline weekly

WeeksTopics
Week 1Detectors and sensors
Week 2Analogue I/O Hardware
Week 3Binary Hardware
Week 4GPIB, DAQ and RS232 interfaces
Week 5GPIB, DAQ and RS232 interfaces (cont.)
Week 61st Midterm
Week 7Data formats and files
Week 8Planning and testing
Week 9I/O software development
Week 10Data analyses
Week 11Application
Week 12Application
Week 13Final exam preparation
Week 14Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance1410
Laboratory00
Application720
Field activities00
Specific practical training00
Assignments720
Presentation00
Project00
Seminar00
Midterms215
Final exam135
Total100
Percentage of semester activities contributing grade succes065
Percentage of final exam contributing grade succes035
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)14342
Presentation / Seminar Preparation000
Project000
Homework assignment21326
Midterms (Study duration)23060
Final Exam (Study duration) 11010
Total Workload3359180

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Combines mathematics, science and engineering knowledge in a multidisciplinary manner and implement into modern technological and scientific advanced research.    X
2. Accesses, interprets, and implements information by doing in depth applied research for technological applications.   X 
3. Develops original models and designs methods to solve problems by using relevant software, hardware, and modern measurement tools.   X 
4. Accesses information by doing research in certain fields, share knowledge and opinions in multidisciplinary work teams.     
5. Implements modeling and experimental research; solves encountered complex problems.     
6. Knows and follows recent improvements in the field, utilize new information to solve technological complex problems. Develops and plans methods to solve technological problems in an innovative manner.     
7. Follows recent studies in the field, presents results in national and international meetings.    X
8. Knows advanced level Turkish and at least one foreign language to be able to present recent results.   X 
9. Uses advanced communication tools related to technological methods and software.  X  
10. Protects social, scientific, and ethical values while collecting and implementing, data and presenting results in scientific meetings.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest