| Course Unit Code | 541-0609/02 |
|---|
| Number of ECTS Credits Allocated | 4 ECTS credits |
|---|
| Type of Course Unit * | Compulsory |
|---|
| Level of Course Unit * | First Cycle |
|---|
| Year of Study * | First Year |
|---|
| Semester when the Course Unit is delivered | Winter Semester |
|---|
| Mode of Delivery | Face-to-face |
|---|
| Language of Instruction | Czech |
|---|
| Prerequisites and Co-Requisites | There are no prerequisites or co-requisites for this course unit |
|---|
| Name of Lecturer(s) | Personal ID | Name |
|---|
| POR041 | Ing. Michal Matloch Porzer, Ph.D. |
| Summary |
|---|
The compulsory subject having curriculum as follows: Basic information about
purpose of statistics and statistical tools; Statistical terms, statistical
characteristics and dependencies; Definition of enumeration methods of some
statistical characteristics; Methodology of data collection, statistical
evaluation and practical interpretation. This subject is the only one with the
mathematical contents; regarding to this fact, the fundamentals of mathematics
topic is included, with emphasis to applications in common scientific
disciplines. The informatics topic gives the basics of informatics and
practical application demonstration, both is providing in the computer
laboratory. The instruction is guided through data processing and information
obtaining by different tools from different information resources, primarily
from own data resource files, and Internet environment. The factual content is
updated yearly, regarding to current face of computer science evolution and
(world) computer net possibilities. |
| Learning Outcomes of the Course Unit |
|---|
To present both traditional and non-parametric statistical methods for the assessment of geo-phenomena. To consolidate the knowledge of the current state of computer science, supplemented by actual knowledge and skills required in other technical courses of study.
|
| Course Contents |
|---|
Set Theory.
Cartesian product, relations, properties of relations.
Mapping, operations.
Fundamentals of relational databases.
Descriptive and mathematical statistics.
Basic statistical characteristics of one-dimensional statistical set.
Two-dimensional statistical set.
Interpolation, extrapolation, approximation.
Linear regression.
Three-dimensional statistical set.
Estimation of values, methods of calculation on the net. |
| Recommended or Required Reading |
|---|
| Required Reading: |
|---|
| There is no mandatory literature in English. |
Drozdová, J. - Homola, V.: Statistika pro Geovědní a montánní turismus. ISBN 978-80-248-4067-3. VŠB Ostrava, 2017.
Drozdová, J. - Homola, V.: Informatika pro Geovědní a montánní turismus. VŠB Ostrava, 2017. Dostupné na http://homel.vsb.cz/~hom50/INFOGMT.
Schejbal, C. - Homola, V. - Staněk, F.: Geoinformatika. ISBN 8096761188. PONT, Košice, 2004.
Schejbal, C.: Úvod do geostatistiky. ISBN 8070783257. VŠB, Ostrava, 1996.
|
| Recommended Reading: |
|---|
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.
|
Rektorys, K. a kol.: Přehled užité matematiky I, II. ISBN 8071961809. Prometheus, Praha, 2000.
Kaluža, J. - Kalužová, L. - Maňasová, Š.: Informatika. ISBN 8024807637. VŠB, Ostrava, 2005.
|
| Planned learning activities and teaching methods |
|---|
| Lectures, Tutorials |
| Assesment methods and criteria |
|---|
| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
|---|
| Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
| Exercises evaluation | Credit | 33 | 17 |
| Examination | Examination | 67 | 18 |