Geostatistics
| Title | Γεωστατιστική / Geostatistics |
| Code | EGNM101 |
| Faculty | Sciences |
| School | Geology |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Konstantinos Voudouris |
| Common | No |
| Status | Active |
| Course ID | 600023240 |
Programme of Study: PMS Efarmosménī kai Perivallontikī Geōlogía kai Geōkíndynoi
Registered students: 19
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Technikī Geōlogía kai Ydrogeōlogía | Compulsory Course | 1 | 1 | 4 |
| Efarmosménī Geōfysikī kai Seismología | Compulsory Course | 1 | 1 | 4 |
| Oryktoí Póroi kai Diacheírisī Perivállontos | Compulsory Course | 1 | 1 | 4 |
| Geōmorfologikés Diergasíes kai Geōperivállonta se Synthīkes Klimatikīs Metavlītótītas | Compulsory Course | 1 | 1 | 4 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600272321
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600272321
Erasmus
The course is also offered to exchange programme students.
Learning Outcomes
The course aims to provide students with additional knowledge regarding selected basic methods of Geostatistics, as well as examples of their application and utilization. In particular, emphasis is placed on the combination of the use of mathematical statistical methods and computers for the indicative solution of simple Geological problems.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
Course Content (Syllabus)
Collection and types of geological data
Single variable statistics: graphical and numerical description using the SPSS statistical package.3) Frequency curves-Normal distribution
Factor analysis of data
Analysis of data in groups
Time series
Analysis of two (2) variables using least squares methods (linear correlation coefficient, error analysis, etc.)
Analysis of stability of results using resampling techniques (bootstrap, jackknife, etc.)
Introduction to the MATLAB programming language
Solving selected geological problems of analysis of two (2) variables using MATLAB codes.
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
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 30 | ✓ | ✓ | ||
| Laboratory Work | 30 | ✓ | ✓ | ||
| Reading Assigment | 37 | ✓ | |||
| Exams | 3 | ✓ | |||
| Total | 100 |
Student Assessment
Description
With oral exam and written exams using a computer or on the Computer room (50% weighting in each exam)
Student Assessment methods
- Oral Exams (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Additional bibliography for study
Trauth, M. H., Gebbers, R., Marwan, N., & Sillmann, E. (2007). MATLAB recipes for earth sciences (Vol. 34). Berlin: Springer.
Last Update
28-02-2025
