DATA ANALYSIS AND PROCESSING USING MATLAB
| Title | ΑΝΑΛΥΣΗ ΚΑΙ ΕΠΕΞΕΡΓΑΣΙΑ ΔΕΔΟΜΕΝΩΝ ΜΕ ΧΡΗΣΗ MATLAB / DATA ANALYSIS AND PROCESSING USING MATLAB |
| Code | ΥΦΥ104 |
| Faculty | Sciences |
| School | Physics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Dimitris Kugiumtzis |
| Common | No |
| Status | Active |
| Course ID | 600016916 |
Programme of Study: Computational Physics
Registered students: 17
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 1 | 1 | 7.5 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600286331
|
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600286331
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=7917
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
The scope of the course is the introduction of concepts and methods of data analysis, as well as their application to real-world problems. Within the framework of application the scope is the use of relevant software.
General Competences
- Apply knowledge in practice
- Make decisions
- Work autonomously
Course Content (Syllabus)
Introduction: definitions, data, examples. Probability and random variables: fundamentals on probability, distributions, parameters of distributions, basic distributions. Elements of statistics: parameter estimation and hypothesis testing. Uncertainty and measurement error: systematic and random errors, error propagation. Correlation and regression: correlation, simple and multiple regression, linear and nonlinear regression. Time series: basic characteristics of time series, correlation in time series.
Educational Material Types
- Notes
- Slide presentations
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Worked examples/exercises, lab on Matlab. Exercise deposition and communication through elearning.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | 0.9 | ✓ | ✓ | |
| Laboratory Work | 13 | 0.4 | ✓ | ✓ | |
| Project | 26 | 0.9 | ✓ | ✓ | |
| Exams | 3 | 0.1 | ✓ | ✓ | |
| Total | 68 | 2.3 |
Student Assessment
Description
1. Written examination of 180 minutes.
2. Project in Matlab.
3. Optional assignments of exercises on Matlab during the course
Student Assessment methods
- Written Exam with Problem Solving (Summative)
- Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Εφαρμοσμένη Στατιστική και Στατιστική Μηχανική Μάθηση με χρήση των IBM SPSS Statistics, R, Python, Μπερσίμης Σωτήριος, Μπάρτζης Γεώργιος, Παπαδάκης Γεώργιος, Σαχλάς Αθανάσιος, Εκδόσεις Τζιόλα, 2024 (2η έκδοση) (Εύδοξος 122087510) ISBN 9786182210581
2. Ανάλυση Δεδομένων με χρήση της R, Δημήτριος Φουσκάκης, Εκδόσεις Τσότρας ΕΕ, 2021 (2η έκδοση) (Εύδοξος 102073862)
3. Εφαρμοσμένη Στατιστική, Μπόρα-Σέντα Ε. και Μωυσιάδης Χ., Εκδόσεις Ζήτη, Θεσσαλονίκη 1997 (Εύδοξος: 11028)
4. Resampling Methods: A Practical Guide to Data Analysis, Good P.I., Springer, 2006 (Εύδοξος: 173198)
5. Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments, Wolberg J., Springer, 2006 (Εύδοξος: 174465)
Additional bibliography for study
1. Statistics and Analysis of Scientific Data [electronic resource], Bonamente M., Springer ebooks, 2017 (Εύδοξος: 75492930).
2. Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining [electronic resource], Myatt G.J., Wiley ebooks, 2014 (2nd edition) (Εύδοξος: 80503623)
3. Resampling Methods: A Practical Guide to Data Analysis, Good P.I., Springer, 2006 (Εύδοξος: 173198)
4. Computational Statistics Handbook with MATLAB, Martinez W.L. and Martinez A.R., Chapman and Hall, 3rd edition 2015
5. Exploratory Data Analysis with MATLAB, Martinez W.L., Martinez A.R. and Solka J., Chapman and Hall, 3rd edition 2017
6. Statistical Techniques for Data Analysis, Taylor J.K. and Cihon C., Chapman and Hall, 2004
Last Update
16-09-2025
