Geostatistics
| Title | Γεωστατιστική / Geostatistics |
| Code | GGNM101 |
| Faculty | Sciences |
| School | Geology |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Konstantinos Papazachos |
| Common | No |
| Status | Active |
| Course ID | 600016784 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors | |
| Instructors from Other Categories | |
| Class ID | 600291914
|
Course Type 2021
General Foundation
Course Type 2016-2020
- Background
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600291914
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=14687
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
The course aims to provide students with a better understanding of selected basic topics of Geostatistics, as well as examples of their application and exploitation. In particular, emphasis is given on the combined use of statistical methods and computing to solve 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)
1) Data collection-Types of geological data
2) Statistics with one variable: Graphical and numerical description using SPSS software
3) Frequency curves-Normal distribution
4) Factor analysis
5) Cluster analysis
6) Time series
7) Bi-variate analysis using least squares methods (linear correlation, error analysis, etc.)
8) Stability analysis using resampling techniques (bootstrap, jackknife, etc.)
9) Introduction to the MATLAB programming language
10) Solving selected geological problems of bi-variate analysis using MATLAB codes
Keywords
desriptitive statistics, factor analysis, cluster analysis, SPSS. MATLAB
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
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 30 | ✓ | |||
| Laboratory Work | 30 | ✓ | |||
| Reading Assigment | 37 | ✓ | |||
| Exams | 3 | ✓ | |||
| Total | 100 |
Student Assessment
Description
By oral exam and written exams using a personal laptop or at a computer cluster (50% weighting in each exam)
Student Assessment methods
- Oral Exams (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Δεν υπάρχει
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
21-04-2023
