# 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