541-0313/05 – Environmental Informatics (EnvInf)
| Gurantor department | Department of Geological Engineering | Credits | 5 |
| Subject guarantor | Doc. PaedDr. Vladimír Homola, Ph.D. | Subject version guarantor | Doc. PaedDr. Vladimír Homola, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 3 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2008/2009 | Year of cancellation | 2016/2017 |
| Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
To explain the current trends of (particularly environmental) data processing, to understand the differences between (in the general geo-) data and the data of the everyday life, to describe the tools of non-standard statistics.
Teaching methods
Lectures
Tutorials
Summary
The first topic is concerning about data organization in computer
environment. The data by herself are described, regarding to data
presentation, real-world data conversion, and computer data types. Next,
the logical data organization is presented by two data structure models:
hierarchical and relational. In this topic we can see: data structure
storing and retrieving, virtual structures creating, sorting and
indexing. In practical part of this subject, the software for inputting,
editing and information generating is presented. The aim is geosciences data
applications, and Internet information pages creation and
utilization.
Compulsory literature:
There is no mandatory literature in English.
Recommended literature:
Barnett, V.: Environmental Statistics: Methods and Applications. John Wiley & Sons, London, 2003.
Piegorsch, W. W. - Bailer, A. J.: Analyzing Environmental Data. John Wiley & Sons, London, 2005.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Student solves continuously defined tasks according to discussed topisc.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
The sources of environmental data and their formats.
The issue of data collection, standardization and formalization of geoscientific data.
Methods of presentation of data: numeric, text, semigraphic, and graphics.
Environmental data and methods for modeling in a computer environment.
Relationship between geographic and environmental data.
Analysis of environmental data with regard to their use in information systems.
Basic geostatistical calculations and the results link to environmental data.
Estimation of three-dimensional data with respect to the presentation in information systems.
The issue of map coordinate systems in environmental tasks.
Other selected topics in computer science for application in practical, innovative information.
Practices:
Hardware implementation of information systems.
Classification of computer systems.
Characteristics of hardware: CPU, peripherals. Special terminals.
Modeling data information structures in the environment of a given database system.
The basic functions of database systems.
Definition of database, adding data and keep them up to date.
Links between databases. Index tables.
Creating virtual data and information structures.
Using virtual data structures, searching data and selecting information.
Application databases in information systems.
Import and export data.
Verification of the type of statistical distribution.
Basic statistical analysis.
Analysis of the dependency variables, correlation and regression analysis.
Analysis of vector data.
Multivariate statistical analysis of data.
Structural geostatistical analysis.
Analysis of anisotropy.
Geostatistical global estimates.
Computer kriging.
Presentation of the results of data analysis, particularly with regard to output and graphic formats available on the Internet.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction