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 | 2023 – 2024 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600238473
|
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600238473
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=12401
- Other: http://users.auth.gr/dkugiu/Teach/DataAnalysis/index.html
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)
Εφαρμοσμένη Στατιστική, Μπόρα-Σέντα Ε. και Μωυσιάδης Χ., Εκδόσεις Ζήτη, Θεσσαλονίκη 1997 (Εύδοξος: 11028)
Resampling Methods: A Practical Guide to Data Analysis, Good P.I., Springer, 2006 (Εύδοξος: 173198)
Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments, Wolberg J., Springer, 2006 (Εύδοξος: 174465)
Additional bibliography for study
Computational Statistics Handbook with MATLAB}, Martinez W.L. and Martinez A.R., Chapman and Hall, 3rd edition 2015
Exploratory Data Analysis with MATLAB}, Martinez W.L., Martinez A.R. and Solka J., Chapman and Hall, 3rd edition 2017
Making Sense of Data, A Practical Guide to Exploratory Data Analysis and Data Mining, Myatt G.J., Wiley-Interscience, 2nd edition, 2014
Statistical Techniques for Data Analysis, Taylor J.K. and Cihon C., Chapman and Hall, 2004
Hyperstat, βιβλίο στο διαδίκτυο (online Book): http://davidmlane.com/hyperstat/
Concepts and Applications of Inferential Statistics, Lowry R., βιβλίο στο διαδίκτυο (online book): http://vassarstats.net/textbook
Last Update
09-09-2023
