Information Package / Course Catalogue
Signal and Data Analysis Methods
Course Code: FZK620
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

To analyze the accuracy of the data obtained from the experiment.

Course Content

In physics the concept of error, precision and accuracy, probability, probability spaces and distributions, special probability distributions, binomial, Poisson, and Gaussian distributions, random variables, the mean and variance, error analysis and error analysis applications, the chi-square statistics, the least squares method and the applications, probability tests, finding a fit and applications, Monte-Carlo (MC) methods and techniques, the MC applications in physics, computer data analysis applications in physics,

Name of Lecturer(s)
Learning Outcomes
1.To analyze the accuracy of the data obtained from the experiment.
2.To analyze the error of experimental data
3.Being able to analyze the data with the help of computer programs.
4.To be able to apply them to new problems
5.Learning data analysis
Recommended or Required Reading
1.An introduction to statistical methods and data analysis. R. Lymann Ott, Michael T. Longnecker
Weekly Detailed Course Contents
Week 1 - Theoretical
In physics the concept of error, precision and accuracy, probability
Week 2 - Theoretical
Probability spaces and distributions, special probability distributions
Week 3 - Theoretical
Binomial, Poisson and Gaussian distributions
Week 4 - Theoretical
Random variables, the mean and variance
Week 5 - Theoretical
Error analysis and error analysis applications
Week 6 - Theoretical
Chi-square statistics
Week 7 - Theoretical
And applications of the method of least squares
Week 8 - Theoretical
And applications of the method of least squares, Midterm exam
Week 9 - Theoretical
And applications of the method of least squares
Week 10 - Theoretical
Probability tests, finding a fit and applications
Week 11 - Theoretical
Monte-Carlo (MC) methods and techniques
Week 12 - Theoretical
MC applications in physics
Week 13 - Theoretical
Computer data analysis applications in physics
Week 14 - Theoretical
Computer data analysis applications in physics
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures14%28
Practice7%7
Assignment7%7
Quiz2%8
Midterm Examination1%20
Final Examination1%30
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1463126
Assignment122248
Quiz4118
Midterm Examination17512
Final Examination17512
TOTAL WORKLOAD (hours)206
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
5
4
4
3
4
2
2
3
OÇ-2
4
4
3
4
2
2
3
4
OÇ-3
4
3
3
4
3
3
3
3
OÇ-4
4
4
4
3
3
4
2
3
OÇ-5
5
4
3
3
4
4
4
3
Adnan Menderes University - Information Package / Course Catalogue
2026