Geostatistics
Course Code
GL4031
Number of Credits
2
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Introduction Exploratory Data Analysis 1. Univariate Statistics | |
| Exploratory Data Analysis 2. Bivariate and Spatial Statistics Continuity Model Semi Variogram Modeling | |
| Semi Variogram Modeling with ILWIS Variogram model | |
| Variogram model discussion Estimation (1); Imposition of various estimation methods | |
| Estimation (2) Estimation with Kriging Kriging Uncertainty Final project completion and results discussion |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Understand spatial data that can be used for good geostatistics |
| CPMK 2 | Can perform Exploratory Data Analysis (EDA) on geological data by using various basic statistical methods |
| CPMK 3 | Understand the basic differences between spatial statistics and non-spatial statistics |
| CPMK 4 | Knowing the various variogram models, choosing the right variogram model appropriate and can perform variogram modeling with ILWIS software |
| CPMK 5 | Know various kinds of kriging equations and their errors, and be able to create map estimation with ordinary kriging Perform simple interpretation of the cause of anomaly in the estimated frigging map |
Learning Method
- Knowledge Based Leaning (KBL) Problem based learning (PBL)
Learning Modality
- Offline Online Synchronus Asynchronus
Assessment Methods
- Written : Description, Essay Tasks : Report