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English Subjects

The BSC training courses

Cartography and Map projections I.

 

  • Coordinator: Dr. József LÓKI, professor,
  • Classes (hour)/week: 1+ 2
  • Credits: 4
  • Examination: written exam
  • Semester: autumn

Course outline
 

Precondition: Topography

Elements of projection are recognized and acquired: projection, projection equations, projection distortions, grouping of projections. Plane, roll, cone and imaginary projections are characterized. This projections are recognized and depicted.

Evolution history of in Hungarian used projections, types of projections and difference between projections.

Mapknowledge: mapsymbols, signal codes, kilometre network, graticule. Calculation and usage of scale. Concept and design of scale and rate.

Evolution history and types of relief drawing: scenography, gradient striping, color gradual, contour map, relief shading, anaglyph, hypsometry. Significance and advantage of contour maps. Display of maptypes (EOTR, Gauss-Krüger, I. II. III. IV. Military Mapping, Maps between two world-war, forestry maps, cadastral maps). Differences between projection systems.

Measuring on the maps: Orientation of maps (compass use, azimuth measure, determination of standpoint). Distance and area measure. Editing and assay of cutaway, geomorphology characteristic recognition.

Slope scale usage, slopiness recognition. Slope angle, slope category, slopiness, slope exposure is defined and used. Relative embossment defined and typified. Slope types.

Data structures

 

  • Coordinator: Dr. István JUHÁSZ, professor
  • Classes (hour)/week: 2+0
  • Credits: 3
  • Examination: oral exam
  • Semester: autumn

Course outline
 

Introduce students with the most important abstract data structures used in information technology, particularly geographic data.

Definition and representation of abstract data structures. Working with data structures, for example array, table, list, stack, line, string, tree, binary tree, record

Using simple and complex files

Indexed and inverted file structures

Multi-dimensional indexing. B +-tree, kd tree, quad-tree, R-trees. Tables typesetting, grid files

Field-based GIS

 

  • Coordinator: Dr. Gergely SZABÓ, assistant professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: completion of a small projekt
  • Semester: autumn

Course outline
 

The aim of the course is to get to know the field survey, to collect, handle and process the surveyed data.

The main parts of the course:
 

The students gather data with field-surveying device (such as traditional and modern surveying device), and GPS-based instruments.

On the next term they learn the computer-based processing, later they attain to edit thematic maps from their data. To reach this, student use IDRISI and ArcView software. The final aim to get the skill to merge and co-processing of the gathered with the existing (e.g. map-based) data.

Geographical databases

 

  • Coordinator: Dr. Szilárd SZABÓ, associate professor
  • Classes (hour)/week: 1+2
  • Credits: 2
  • Examination: oral exam and completion of a small projekt
  • Semester: autumn

Course outline
 

Precondition: knowledge of database management and fundamentals of GIS.

According to the complexity of geography the course is divided into several topics. Each topics are introduced with their procurement possibilities, costs, sources and their usage in practice. Different data sources as maps, tables and their analysis is a relevant issue. Meteorological, climatological and air quality databases. Temperature, evaporation, precipitation. RIV network.

Hydrological databases. Groundnwater level, changes of groundwater level; data of surface waters.

Geological, pedological databases. Interpretation of geological maps and borehole data. 1:100000 AGROTOPO map, 1:25000 Kreybig Soil Maps, 1:10000 genetic soil type maps. Data interpretation of soil analysis.

Land cover. CORINE databases; aerial photos, toposheets, satellite images, ortophotos and their application possibilities. Methods of land change analysis.

Databases of environmental protection. Network of surface water quality measurements and accessabilty of the data. Data of environmental authorities (datzabase of potential pollution source, FAVI).

Data of nationa park directorates.

Demographical data sources. Statistical yearbooks, OTAB, T-STAR, KSH-data.

Geographical positioning

 

  • Coordinator: Dr. József LÓKI, professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: practical grade
  • Semester: autumn

Course outline
 

The aim of the course: Acquirement of spatial and temporal orientation in practise and in theory.

Within the frames of geographic positioning the students get acquainted with spatial and temporal orientation and the theoretical bases of time calculation and global positioning. During the practises computational exercises are carried out, which are very useful for orientation in space, in time, on maps and in the sky and students learn orientation with the help of digital atlases. The most important types of instruments (compasses, theodolite, GPS) are studied in practice as well as navigation on digital maps.

Geoinformation systems in environment protection

 

  • Coordinator: Dr. Szilárd SZABÓ, associate professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: oral exam and completion of a small projekt
  • Semester: oral exam and completion of a small projekt

Course outline
 

Precondition: knowledge of fundamentals of GIS.

The aim of this is course is to deepen the fundamental knowledge of GIS. Students use their existing skills and learn new methods to solve environmental problems. Their tasks are for example:

  • how many trees should be cut if a given building will be built (layers: contour of the basement in dxf format of the building, trees), contours should be converted into shp and polygon;
  • spatial interpolation techniques, TIN, DEMS from stereo image pairs;
  • creation of DEM from contours, improving its quality with point data, delineation of the catchment, what is the ratio of the vineyards in the south slopes in a small area, what is the distribution of the slope categories (layers: contours of heigth data; land use);
  • creation of distance matrix of cities, creating attribute data from geometric layers, statistical data analysis in a statistical software (PAST, SPSS);
  • creation of map from borehole data.

Hibrid GIS modelling

 

  • Coordinator: Dr. Gergely SZABÓ, assistant professor
  • Classes (hour)/week: 0+2
  • Credits: 3
  • Examination: oral test and completion of a small projekt
  • Semester: autumn

Course outline
 

Precondition: fundamentals of GIS, vector based data systems, raster based data systems.

This course provides a broad introduction in spatial analysis, covering some of the common methods for analysis of raster and vector data using geographic information systems and related software (ArcGIS). The course begins with the introduction and comparison of different data models, according to the real worlds' discrete and continuous phenomena, vector and raster data models. This course gives examples as development of GIS layers and attributes, text and table linking to GIS layers, area and regional analysis with GIS, creating thematic maps.

GIS concepts and requirements, what is ArcGIS, desktop GIS: ArcView, ArcEditor and ArcInfo.

Building a catalog of geographic data, exploring data and adding it to a map, creating layers, managing datasets.

Displaying data, querying database, working with geographic features, working with tables, editing data, working with georeferenced data, working with map scale and projections, presenting data and creating maps.

Informatics in earth sciences

 

  • Coordinator: Dr. József LÓKI, professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: written exam
  • Semester: autumn

Course outline
 

Computer / IT concepts (data, information, algorithms, programs, files, etc). Hardware Basics (operating systems and user software. A PC operating system, MS-Windows a detailed description of the file management operations. Introduction of a word processor (MS Word) and spreadsheet (MS Excel) use. Basic knowledge of network (mail, Internet).

Intrudoction to informatics

 

  • Coordinator: Dr. József LÓKI, professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: written exam
  • Semester: autumn

Course outline
 

Computer / IT concepts (data, information, algorithms, programs, files, etc). Hardware Basics (operating systems and user software. A PC operating system, MS-Windows a detailed description of the file management operations. Introduction of a word processor (MS Word) and spreadsheet (MS Excel) use. Basic knowledge of network (mail, Internet).

Remote sensed data in geography

 

  • Coordinator: Dr. Gergely SZABÓ, assistant professor
  • Classes (hour)/week: 0+2
  • Credits: 3
  • Examination: practical assessments and completion of a written projekt
  • Semester: autumn

Course outline
 

Precondition: completion of TGBL0605

This course introduces the principles and fundamentals of remote sensing. Overview of remote sensing satellites and their orbits, common remote sensing systems and their technical principles, properties, and data formats.

The course is concerned with sensor characteristics, satellite orbits and various current and future missions involving a range of sensors across the visible, radar and microwave components of the spectrum.

Processing methods within remote sensing, including image enhancement, data compression, image transformation, and basic classification methods.

Integration of field data with remotely sensed data for classification and accuracy evaluation.

Thematic mapping with remote sensing data.

The course includes a large number of examples of applications of remote sensing to environmental questions.

The course finishes with the repetition of the acquired knowledge and consultations.

Remote sensing and cartography

 

  • Coordinator: Dr. József LÓKI, professor
  • Classes (hour)/week: 0+2
  • Credits: 3
  • Examination: midterm tests
  • Semester: autumn

Course outline
 

Elements of projection are recognized and acquired: projection, projection equations, projection distortions, grouping of projections. Plane, roll, cone and imaginary projections are characterized. This projections are recognized and depicted.

Evolution history of in Hungarian used projections, types of projections and difference between projections.

Mapknowledge: mapsymbols, signal codes, kilometre network, graticule. Calculation and usage of scale. Concept and design of scale and rate.

Evolution history and types of relief drawing: scenography, gradient striping, color gradual, contour map, relief shading, anaglyph, hypsometry. Significance and advantage of contour maps. Display of maptypes (EOTR, Gauss-Krüger, I. II. III. IV. Military Mapping, Maps between two world-war, forestry maps, cadastral maps). Differences between projection systems.

Measuring on the maps: Orientation of maps (compass use, azimuth measure, determination of standpoint). Distance and area measure. Editing and assay of cutaway, geomorphology characteristic recognition.

Slope scale usage, slopiness recognition. Slope angle, slope category, slopiness, slope exposure is defined and used. Relative embossment defined and typified. Slope types. Initation in remote sensing, interest and usage of satelit recording (LANDSAT, SPOT). Google Earth programe is exhibited and used.

Preprocessing and avaluation of satelite recordings. Making of composites. There are used IDRISI software.

Usage of modern appliances in plotting: GPS, laser theodolite. Acquirement of basic cartography method: distance, deals, area, altitude measures. Usage of air- and space recording in the cartography. Physic basic of remote sensing and space recording’s types. Visual interpreter of space recording. Making of thematic maps. Usage possibilities of COREL-DRAW softver in digital cartography subject.

Surface Analyses

 

  • Coordinator: Dr. József SZABÓ, professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: written exam and completion of a small projekt
  • Semester: autumn

Course outline
 

Precondition: knowledge of geomorphology and fundamentals of GIS.

Identifying relief forms on topographic maps, satellite pictures, 3D modells and ortophotoes.

Possibilities of surface analyses.

Characterization of relief with morphometric features (relative reliev, slope characteristic, cross section, slope aspec etct).

Types, analyses, signs and construction of geomorphological maps.

Contents of special geomorphological maps (engineering geology, hidrology, soil protection).

Types of different potential maps (tourism, agriculture, surface stability): What are these and how we create?

Using ArcGIS and TIN modells in surface analyses (preparing relative relief maps, aspects maps etc.)

Cartography and Map projections II.

 

  • Coordinator: Dr. József LÓKI, professor
  • Classes (hour)/week: 2+2
  • Credits: 5
  • Examination: written exam
  • Semester: spring

Course outline
 

Precondition: Cartography and Map projections I.

Initation in remote sensing, interest and usage of satelit recording (LANDSAT, SPOT). Google Earth programe is exhibited and used.

Preprocessing and avaluation of satelite recordings. Making of composites. There are used IDRISI software.

Usage of modern appliances in plotting: GPS, laser theodolite. Acquirement of basic cartography method: distance, deals, area, altitude measures. Usage of air- and space recording in the cartography. Physic basic of remote sensing and space recording’s types. Visual interpreter of space recording. Making of thematic maps. Usage possibilities of COREL-DRAW softver in digital cartography subject.

Geomatematics

 

  • Coordinator: Dr. József LÓKI, professor
  • Classes (hour)/week: 0+2
  • Credits: 3
  • Examination: written exam
  • Semester: spring

Course outline
 

The aim of the course is to indroduce the frequently used mathematical methods of geography in theoretical and practical level.

Plain and 3d coordinate systems. Transformations and distortions of different projections. Application of trigonometric functions. Thesis of doctrine of the sphere and the application. Data, data types, collection of data (sample, population, representativity), sources of uncertainty. Distributions, estimations and their features. Mathematical statistics, methods of data analysis (regression, variance analysis).

Geomorphology

 

  • Coordinator: Dr. József SZABÓ, professor
  • Classes (hour)/week: 2+0
  • Credits: 3
  • Examination: oral exam and practical assessments
  • Semester: spring

Course outline
 

This course on the principles of geomorphology looks at the relationship between processes and landforms at a variety of scales in space and time. It examines the processes originating within the earth, occurring at the earth atmosphere ocean interface and the way they interact to create landforms.

The course covers geomorphological theories, weathering, slope processes, fluvial and glacial processes and landforms, applied geomorphology, analysing the relationships between physical and human aspects of environments and landscapes.

With the quantitatively use and evaluate geomorphological data with numerical, statistical and cartographical methods is concerned on the practical classes.

Hamdling of databased

 

  • Coordinator: Dr. István JUHÁSZ
  • Classes (hour)/week: 2+2
  • Credits: 5
  • Examination: oral exam
  • Semester: spring

Course outline
 

The goal of this course is to learn about the possibilities of databases in geography through specialized softwares. Recently different data types and databases are important in geographical examinations and monitoring.

Main thematics:

  • definition of data and database, data-models and its types, structure of databases
  • basics of relational algebra
  • basics of data modeling
  • database, metadatabase
  • database-systems
  • SQL language
  • Oracle database handling system

Raster-based GIS system

 

  • Coordinator: Dr. Gergely SZABÓ, assistant professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: completion of a small projekt
  • Semester: spring

Course outline
 

The aim of the course is to make the students known with the possibilities of usage of several, popular raster-based database, moreover, to attain the steps of preprocessing of satellite-based remote-sensed images.

The main parts of the course:
 

The basics of the raster-based database - structure, main properties. Comparison with other types of database. Advantages and disadvantages of the raster-based database.

Mathematical operation with raster database in IDRISI software. Layers, Boolean- and multi-layer - operations in IDRISI software.

Geocoding, georeferencing, parametring, the role of the RMS-error in transformation.

Fundamental inquiring operations with raster database.

Vector-based GIS system

 

  • Coordinator: Dr. Gergely SZABÓ, assistant professor
  • Classes (hour)/week: 0+2
  • Credits: 2
  • Examination: completion of a small projekt
  • Semester: spring

Course outline
 

The aim of the course is to make the students known with the vector-based data types, and with the possibilities of usage of them.

The main parts of the course:
 

The theoretical basics of the vector-based systems (the concept, the properties of the vector, etc.).

The different ways to gain vector-based database. Building topology-based database, joining different attributes to an existing vector layer.

The students use the ESRI Arc View software, and make thematic maps on their own. Moreover, they perform inquiring, editing, layer operations and digitizing.

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