Geological Data Analysis

Course Information
TitleΑΝΑΛΥΣΗ ΓΕΩΛΟΓΙΚΩΝ ΔΕΔΟΜΕΝΩΝ / Geological Data Analysis
CodeNGGN 527E
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
Course ID600019040

Programme of Study: PPS-Tmīma Geōlogías (2020-sīmera)

Registered students: 78
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses535
EFARMOSMENĪ GEŌLOGIAElective Course belonging to the selected specialization (Elective Specialization Course)535
ORYKTOLOGIA - PETROLOGIAElective Course belonging to the selected specialization (Elective Specialization Course)535
KOITASMATOLOGIA - OIKONOMIKĪ GEŌLOGIAElective Course belonging to the selected specialization (Elective Specialization Course)535
GEŌFYSIKĪElective Course belonging to the selected specialization (Elective Specialization Course)535
METEŌROLOGIA - KLIMATOLOGIAElective Course belonging to the selected specialization (Elective Specialization Course)535

Class Information
Academic Year2023 – 2024
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours4
Class ID
Course Type 2016-2020
  • General Knowledge
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Learning Outcomes
Upon completion of this course students 1. Will gain knowledge about the basic principles and application of selected numerical methods 2. Will be able to select the appropriate numeric processing technique based on the geological problem to be solved. 3. Will gain basic computing skills in Matlab language to implement the theoretical knowledge in practice
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)
Course objectives- introduction, different types of geological data, geological data analysis process. Filtering procedures. Smoothing filters – differential filters. Filter class, application of moving filters, effect of filtering. Examples of application to noisy data, application to highlight changes. Polynomial fitting of geological data. Selection of the polynomial, fitting evaluation. Data isodistribution. Geostatistical data analysis. Basic statistical concepts. Spatial covariance and correlation. Interpolation in 1D. Interpolation techniques (nearest neighbor, linear, polynomial, spline etc.). Advantages and disadvantages, examples of application. Interpolation in two dimensions. Interpolation techniques, pros and cons. Using of covariance matrix to construct maps. Examples of application. Spectral analysis. Basic concepts, sampling frequency, power spectra. Application to geological. Design and application of spectral filters. Content The laboratory cources include application of the methods taught in theory by writing code in the Matlab programing language. Students are asked to write a Matlab code that actually analyzes geodata based on techniques taught in theory and also are asked to interpret the results. In particular, laboratories include the application of the following methods: Smoothing filters, differential filters, polynomial regression and data isodistribution, calculation of covariance and correlation, interpolation in one dimension, interpolation in two dimensions and map construction, spectral analysis (FFT) of data and application of spectral filters.
Geological data, numerical methods, Matlab, data analysis
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • Book
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
1) All class material is available in electronic form to all students through the course web page, as well within the E-Learning platform of the Aristotle Univ. Thessaloniki 2) The teacher communicates with students through email and Facebook 3) The teacher/class evaluation is performed by the students through the Quality Assurance Unit (MO.DI.P.)
Course Organization
Laboratory Work56
Student Assessment
Quality management system of the Quality Assurance Unit (MO.DI.P.)
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written final examination on a computer: write a code and apply it for processing geological data Oral examination for
Course Bibliography (Eudoxus)
ΑΡΙΘΜΗΤΙΚΕΣ ΜΕΘΟΔΟΙ ΜΕ ΤΟ MATLAB, Κωδικός Βιβλίου στον Εύδοξο: 21379, Έκδοση: 1η/2010 Συγγραφείς: CLEVE B. MOLER, ISBN: 978-960-461-371-7, Τύπος: Σύγγραμμα, Διαθέτης (Εκδότης): ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ Επιπρόσθετη βιβλιογραφία για μελέτη/Additional references MATLAB and Design Recipes for Earth Sciences: How to Collect, Process and Present Geoscientific Information. H. Trauth, Martin, Sillmann, Elisabeth. ISBN 978-3-642-32544-1, 2013. Springer-Verlag Berlin Heidelberg
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