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COMPUTER ASSISTED DATA ACQUISITION AND ANALYSIS

Course Code: 
PHYS 404
Course Type: 
Area Elective
P: 
3
Lab: 
0
Laboratuvar Saati: 
0
Credits: 
3
ECTS: 
6
Course Language: 
English
Course Objectives: 
The aim of this course is to teach the basic concepts of computerized data acquisition.
Course Content: 

Principles of measurement and relevant terminology, Introduction to the operation of a data acquisition system and its components: Analog to digital converters, range, multiplexing, sample and hold circuits, single ended and differential inputs, computers, software, data format and storage space, Important concepts: Sampling rate, types of low pass filtres, aliasing, digital-to-analog conversion, Transducers, Data manipulation: Shaping, averaging, noise deduction methods, cross and auto correlation, zero crossing and peak detection, chaos.

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Discussion
Course Evaluation Methods: 
A: Testing, C: Homework

Vertical Tabs

Course Learning Outcomes

Learning Outcomes

Teaching Methods

Assessment Methods

1) Explains the basic concepts of computerized data acquisition

1,2,3

A,C

2) Lists the characteristics of a data acquisition board

1,2,3

A,C

3) Explains sapmling characteristics

1,2,3

A,C

4) Explains filters and filtering characteristics

1,2,3

A,C

5) Introduces tranducers

1,2,3

A,C

6) Summarizes the relevant mathematical methods

1,2,3

A,C

 7) Works out examples                                                                                  

1,2,3

A,C

 
 

Course Flow

Week

Topics

Study Materials

1

INTRODUCTION

 

2

OVERVIEW OF A DATA ACQUISITION AND ANALYSIS SYSTEM

 

3

ANALOG TO DIGITAL CONVERTERS

 

4

RANGE, UNIPOLAR AND BIPOLAR MODES, MULTIPLEXING

 

5

SAMPLE AND HOLD CIRDUITS, SINGLE ENDED AND DIFFERENTIAL INPUTS, COMPUTERS

 

6

SOFTWARE, DATA FORMAT AND STORAGE SPACE, DIGITAL TO ANALOG CONVERTERS

 

7

MIDTERM I

 

8

SAMPLING RATES,LOW PASS FILTERS, OVERSAMPLING, ALIASING

 

9

MAXIMUM FREQUENCY PRESENT IN A SIGNAL, DIGITAL TO ANALOG CONVERSION

 

10

TRANSDUCERS

 

11

ISOLATION AMPLIFIERS, NONLINEAR SENSORS, LINEARIZATION

 

12

MIDTERM II

 

13

DATA MANIPULATION, FORMAT, STATISTICS,PEAK THROUGH AND ZERO CROSSING

 

14

DATA MANIPULATION: CURVE FITTING,FILTERS, SPECTRAL ANALYSIS, CORRELATION, CHAOS

 

15 

EXAMPLES

 

 
 

Recommended Sources

Textbook

Simon S. Young, Computerized Data Acquisition and Analysis for the Life Sciences Cambridge University Press 2001                          

Additional Resources

 

 
 

Material Sharing

Documents

 

Assignments

A/D simulation; sampling; transducers; correlation

Exams

 
 
 

Assessment

IN-TERM STUDIES

NUMBER

PERCENTAGE

Mid-terms

2

50

Assignment

4

20

Total

 

70

CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE

 

30

CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE

 

70

Total

 

100

 
 

Course’s Contribution to Program

No

Program Learning Outcomes

Contribution

1

2

3

4

5

1

gains the ability to apply the knowledge in physics and mathematics

   

X

   

2

gains the ability to construct an experimental setup, perform

the experiment, analyze and interpret the results

     

X

 

3

is supposed to have the education required for the measurements in scientific and technological areas 

       

X

4

is able to work in an interdisciplinary team

       

X

5

is able to identify, formulate and solve physics problems

X

       

6

is conscious for the professional and ethical responsibility

X

       

7

is able to communicate actively and effectively

X

       

8

is supposed to have the required education for the industrial applications and the social contributions of physics

X

       

9

is conscious about the necessity of lifelong education and can implement it

X

       

10

is supposed to be aware of the current investigations and developments in the field

X

       

11

can make use of the techniques and the modern equipment required for physical applications

     

X

 
 
 

ECTS

Activities

Quantity

Duration
(Hour)

Total
Workload
(Hour)

Course Duration (Including the exam week: 16x Total course hours)

14

3

42

Hours for off-the-classroom study (Pre-study, practice)

14

5

70

Mid-terms

2

3

6

Assignment

4

6

24

Final examination

1

3

3

Total Work Load

     

Total Work Load / 25 (h)

 

 

145

ECTS Credit of the Course

 

 

5.8

 

 

 

6