Predictive Modelling in Mining Research using Algorithms
| Title | Προγνωστική Μοντελοποίηση στη Μεταλλευτική Έρευνα με την χρήση Αλγορίθμων / Predictive Modelling in Mining Research using Algorithms |
| Code | EMRO208 |
| Faculty | Sciences |
| School | Geology |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Grigorios aarne Sakellaris |
| Common | No |
| Status | Active |
| Course ID | 600023297 |
Programme of Study: PMS Efarmosménī kai Perivallontikī Geōlogía kai Geōkíndynoi
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Oryktoí Póroi kai Diacheírisī Perivállontos | Elective Courses | 2 | 1 | 2 |
| Academic Year | 2026 – 2027 |
| Class Period | Spring |
| Faculty Instructors | |
| Weekly Hours | 1 |
| Total Hours | 13 |
| Class ID | 600304359
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600304359
Erasmus
The course is also offered to exchange programme students.
Learning Outcomes
After successful completion of the course, students will be able to:
Display, manage, process, (re)-classify and apply statistical/geostatic analysis and integration of spatial data (or geoinformation) in a GIS environment
Analyze and interpret of the geological parameters that control the formation of ore deposits
Generate binary maps as well as apply bivariate-multivariate statistical analysis of thematic maps
Apply various types of algorithms for the predictive modeling of geochemical anomalies as well as for the prediction of potential locations of mineral resources.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Work in an interdisciplinary team
- Advance free, creative and causative thinking
Course Content (Syllabus)
Projection of topographical, geochemical, geophysical, lithological and tectonic data and creation of thematic maps/layers in GIS environment using ArcGis software. Statistical processing of spatial data and geostatical analysis of the spatial behavior of phenomena.
Evaluation of the geological controls of the mineralization.
Predictive Modeling based on the knowledge-driven model which includes the creation of binary thematic maps and the application of the Fuzzy Logic method.
Predictive Modeling based on the data-driven model that includes the application of the Weight of Evidence method (bivariate statistical analysis).
Educational Material Types
- 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
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 25 | ✓ | |||
| Laboratory Work | 15 | ✓ | |||
| Written assigments | 7 | ✓ | |||
| Exams | 3 | ✓ | |||
| Total | 50 |
Student Assessment
Description
Questionnaire. Evaluation of MODIP
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
- Performance / Staging (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Καπαγερίδης, Ι., Εισαγωγή στη Γεωστατιστική, Εκδόσεις ΙΩΝ, 2006, 238 σελ. Κωδικός Βιβλίου στον Εύδοξο: 14516
Additional bibliography for study
Muico Carranza, Geochemical Anomaly and Mineral Prospectivity Mapping (Elsevier, 2009)
Last Update
28-02-2025
