modernizing geodesy education in western balkan with...

Modernizing geodesy education in Western Balkan with focus on competences

and learning outcomes - GEOWEB

DRAFT VERSION March 2017

2015-2018

2

Contents Draft curriculum ................................................................................................................................ 3

Surveying I ........................................................................................................................................ 4

Surveying II ....................................................................................................................................... 5

Surveying III ..................................................................................................................................... 6

Surveying IV ..................................................................................................................................... 8

Geodetic reference systems ............................................................................................................... 9

GNSS Positioning ........................................................................................................................... 10

Engineering surveying .................................................................................................................... 11

Theory of errors and adjustment theory .......................................................................................... 12

Geodetic project work (incl. professional practice) ........................................................................ 13

Geographic Information Systems .................................................................................................... 14

Photogrammetry I ............................................................................................................................ 15

Photogrammetry II .......................................................................................................................... 16

Remote Sensing ............................................................................................................................... 18

Cartography and Map Projections ................................................................................................... 19

Cadastre I ........................................................................................................................................ 20

Cadastre II (State survey) ................................................................................................................ 21

Land Management ........................................................................................................................... 23

Satellite Geodesy ............................................................................................................................. 24

Introduction to Programming .......................................................................................................... 26

Geodetic plans ................................................................................................................................. 27

Digital ImageProcessing ................................................................................................................. 28

Digital Terrain Modelling ............................................................................................................... 30

Geosensors ...................................................................................................................................... 31

3

Draft curriculum

Sem: 1 Year: 1 Sem: 2 Year: 1

No. Course Name Course ETCS No. Course Name Course ETCS

1 Surveying I C 3 1 Surveying II C 4 2 Mathematics I C 7.5 2 Mathematics II C 7.5 3 Physics I C 4 3 Physics II C 4 4 Geosciences C 5 4 Geodatabases C 5

5 Informatics C 5 5 Construction Engineering C 5

6 Spatial Planning C 5 6 Law and Economy C 6 Total=

29.5 Total= 31.5

BSc C = 29.5 BSc C = 31.5 BSc S =

0

BSc S =

0



1 Surveying III C 4 1 Surveying IV C 4

2 Geodetic reference systems C 7.5 2

Theory of errors and adjustment theory II C 5

3 Mathematics III C 6 3 Photogrammetry I C 4

4 Theory of errors and adjustment theory I C 5 4

Cadastre II (State survey) C 5

5 Cadastre I C 5 5 Geographic Information Systems II C 5

6 Geographic Information Systems I C 5 6

Introduction to Programming S 5

7 Geodetic plans S 3 7 Technical foreign language S 3

Total= 35.5 Total=

31 BSc C = 32.5 BSc C = 23 BSc S = 3

BSc S =

8



1 GNSS positioning C 7.5 1

Geodetic project work (incl. professional practice) C 5

2 Engineering Surveying C 5 2 Remote Sensing C 5

3 Cartography and Map Projections C 7.5 3

Bachelor project/Professional deepening C 12

4 Photogrammetry II C 3.5 4 Satellite geodesy C 3

5 Land Management C 5 5 Digital Image Processing S 5

6 Digital Terrain Modelling S 5 6 Geosensors S 5

∑

Total=

33.5 Total=

35 196

BSc C = 28.5 BSc C = 25 170

BSc S = 5 BSc S = 10 26

4

Module name Surveying I

Semester / year 1/1

ECTS credits

Lectures: 1.5 Practice/exercise: 1 Project: 0.5 Total: 3

Lecturer

Study hours

Lectures: 40 Practice/exercise: 25 Project: 10 Total: 75

Learning outcomes

By the end of this course students will be able to:

Understand all fields of geodetic engineering and its tasks.

Understand the influence of technological development on geodetic engineering and the latest technological achievements of the profession.

Understand the importance of spatial data, its acquisition and maintenance.

Understand the space geometry through the use of various coordinate systems.

Gain basic knowledge about measuring techniques, measuring errors and basic procedures for assuring suitable measuring conditions.

Syllabus (List of lessons)

1. Definition of Geodetic Engineering and Surveyor. Different branches of Geodetic Engineering, tasks, relation to other professions. International organization of Geodetic Engineering, history, technical development. Geodetic engineering as profession which assures national spatial infrastructure, geodetic engineering form the aspect of users.

2. Measurements, metrology - basic definitions. Numbers as outcomes of measurements, significant figures, accuracy of calculations.

3. Plane and spherical trigonometry: use in surveying. 4. Shape and dimension of the Earth; coordinate and coordinate systems. 5. Basic terms of geodetic projections; basic terms of planes and maps. 6. Basic measurement theory; errors and types or errors; analyze of quality of

geodetic observations and weighted observations. 7. Geodetic networks; types of geodetic networks. 8. Geodetic point’s stabilization, topography and signalization. 9. Basic terms of horizontal geodetic network establishment; triangulation. 10. Angle measurement, units, instruments for horizontal angle measurement. 11. Checking and rectification of instruments. 12. Methods to measure horizontal directions and angles. 13. Centering of directions observed from an eccentric station. 14. The elements of coordinate calculation. 15. Determination of preliminary coordinates by arc cross section and the

cross sections of external and internal directions.

Prerequisite Fundamentals of mathematics, geometry and physics.

Course literature

1. Mihailović, K. (1974): Geodezija I. Građevinska knjiga, Beograd.

2. Macarol, S. (1985): Praktična geodezija, Tehnička knjiga, Zagreb

3. Charles D. Ghilani and Paul R. Wolf (2012):Elementary Surveying - An Introduction to Geomatics, 13/e, Prentice Hall, Toronto

4. Harvey, Bruce R. (2012): Survey Computations, School of Surveying and Spatial information System, The University of New South Wales - Australia

5

Assessment Assessment is based on a number of practical exercises, tests and an end of semester examination.

Grading

10 Excellent 9 Very good 8 Good 7 Satisfactory 6 Adequate performance 5 Unacceptable

91 - 100 81 - 90 71 – 80 61 - 70 51 – 60 below 51

Module name Surveying II

Semester / year 2/1

ECTS credits


Lecturer

Study hours


Learning outcomes

By the end of this course students will be able to:

Explain the procedures to be carried out during survey reconnaissance.

Understand and describe procedure the observation, computation and adjustment of a traverse and level loop.

Handle, check and take care of delicate field instrumentation.

Work in a team to carry out a survey of a small area using appropriate methods.

Carry out basic survey computation.

Report on survey operations.


1. Definition of geodetic leveling network. 2. Vertical angles; instruments and methods of vertical angle measurements. 3. Trigonometric leveling, approximate formula. 4. Differential leveling, purpose, project, stabilization and position description

of points, general leveling and detailed leveling. 5. Levels, leveling staffs; checking and rectification of instruments and staffs. 6. Computations of height differences. 7. Polygonometry, purpose, project of polygonometry, stabilization. 8. Angular and linear measurements in polygonometry. 9. Computations of coordinate of polygon points using approximate

methods. 10. Network of minor points;observations in network of minor points,

methods and rules. Computations of coordinates of minor points. 11. Detailed survey, purpose, operation rules. 12. Survey methods, polar method and orthogonal method. 13. Survey rules, selection of points depending on the scale. 14. Instruments for detailed surveying, optical and electronics tachymeter. 15. Computations of coordinates of detailed points.

Prerequisite Fundamentals of mathematics, geometry and physics; Surveying I

6

Course literature

1. Mihailović, K. (1974): Geodezija I. Građevinska knjiga, Beograd.

1. Macarol, S. (1985): Praktična geodezija, Tehnička knjiga, Zagreb

2. Charles D. Ghilani and Paul R. Wolf (2012):Elementary Surveying - An Introduction to Geomatics, 13/e, Prentice Hall, Toronto

3. Harvey, Bruce R. (2012): Survey Computations, School of Surveying and Spatial information System, The University of New South Wales - Australia


Grading


91 - 100 81 - 90 71 – 80 61 - 70 51 – 60 below 51

Module name Surveying III

Semester / year 3/2

ECTS credits


Lecturer

Study hours


Learning outcomes

Upon successful completion of this module students should be able to:

Identify and define the key aspects of data quality, including resolution, precision, and accuracy.

Explain the concepts of precision of the conventional horizontal positioning techniques.

List and explain the procedures surveyors use to produce 2D positional data, including triangulation, trilateration and combined networks.

Carry out angle and distance measurement with precise electronic instruments.

Identify sources of error in measuring angles and distances.

Perform practical 2D network designs and analysis.

Perform 2D network least squares adjustments using appropriate software systems and manually.

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1. 2D coordinate system, fundamental geodetic network;positional geodetic networks.

2. Standards and specifications for 2D precision surveys.

3. Design and analysis of 2D precisiongeodetic networks.

4. Precise stabilization of positional geodetic network points;signalisation of points.

5. Principles of triangulation, the definition of terms, special design rules of triangulation networks.

6. Electronic and precise theodolites.

7. Methods of horizontal directions observations, a priori computations (before adjustment procedure).

8. Accuracy analysis and evaluation of angle measurement system.

9. Principles of trilateration, special design rules of trilateration networks.

10. Electronic distance measurement, instruments and methods.

11. Corrections in electronic distance measurements; accuracy estimation, weights.

12. Precise electronic tachymeters.

13. Triangulation – trilateration nets, homogenisation of accuracy of angle and distance measurements - a posteriori weights determination.

14. Least squares adjustment of triangulation, trilateration and combined networks.

15. Results interpretation – quality parameters of measurements and computed coordinates, transformation of coordinates.

Prerequisite

The following modules must be taken before the first lecture in Surveying III:

Surveying I

Surveying II

Course literature

1. Tuno, N., Kogoj, D. (2015): Primijenjena geodezija III, un published manuscript. Faculty of Civil Engineering, University of Sarajevo.

2. Kogoj, D. (2006): Mjerenje dužina elektronskim daljinomjerima. Građevinski fakultet, Univerzitet u Sarajevu, Sarajevo.

3. Benčić, D., Solarić, N. (2008):Mjerni instrumenti i sustavi u geodeziji i geoinformatici. Zagreb , Školskaknjiga

4. Mihailović, K., Aleksić, I. (2008):Koncepti mreža u geodetskom premeru. Geokartad.o.o., Beograd

5. Ogundare, J. (2016):Precision Surveying. Wiley.


Grading


91 - 100 81 - 90 71 – 80 61 - 70 51 – 60 below 51

8

Module name Surveying IV

Semester / year 4/2

ECTS credits


Lecturer

Study hours


Learning outcomes

Upon successful completion of this module students should be able to:

Explain the concepts of 1D survey networks.

List and explain the procedures surveyors use to produce 1D positional data, including trigonometric and geometric levelling.

Carry out measurement with precise and electronic theodolites, tachymeters and levels.

Identify sources of error in measuring height differences.

Perform practical 1D network designs and analysis.

Perform 1D network least squares adjustments using appropriate software systems and manually.


1. Vertical datum, height difference, state vertical coordinate system.

2. Special rules of vertical network design, stabilization of vertical network points.

3. Measuring of zenith angles with precise and electronic theodolites.

4. Accuracy analysis and evaluation of zenith angle measurement system

5. Definition of trigonometric heighting, refraction coefficient.

6. Trigonometric heighting over long ranges, influence of Earth curvature and refraction, deflection of vertical.

7. Elevation differences using one-sided and reciprocal zenith angles.

8. Accuracy of trigonometric heights, weights, limitations of trigonometric leveling.

9. Least squares adjustment of trigonometric heighting network.

10. Precise differential leveling as a measurement method, leveling networks.

11. Measuring the height differences with precise and digital levels.

12. Differential leveling errors, testing procedures for leveling equipment

13. Calculating the height differences; estimation of the accuracy of measurements.

14. Leveling methods for special cases.

15. Adjustment of height differences of leveling network.

Prerequisite

The following modules must be taken before the first lecture in Surveying IV:

Surveying I

Surveying II

Surveying III

Course literature

6. Mihailović, K. (1974): Geodezija II. Građevinska knjiga, Beograd. 7. Muminagić, A. (1987): Viša geodezija II. Naučna knjiga, Beograd. 8. Benčić, D., Solarić, N. (2008):Mjerni instrumenti i sustavi u geodeziji i

geoinformatici. Zagreb , Školskaknjiga 9. Mihailović, K., Aleksić, I. (2008):Koncepti mreža u geodetskom

premeru. Geokartad.o.o., Beograd

9

10. Ogundare, J. (2016):Precision Surveying. Wiley.


Grading


91 - 100 81 - 90 71 – 80 61 - 70 51 – 60 below 51

Course name Geodetic reference systems

Semester / year 3/2

ECTS credits

Lectures: 3,5 Practice/exercise: 2 Project: 2 Total: 7.5

Lecturer

Study hours


Learning outcomes

After that course students will: 1. Have deep understanding of theoretical and practical foundations on which

traditional and moderns Geodetic Reference Systems (GRS) are built. 2. Be able to distinguish between purely geometrically defined GRS and GRS

influenced by and based on the Earth’s gravity field. 3. Have insight on geodynamic factors which influence the definition and

maintenance of GRS. 4. Be familiar with existing national and international reference frames. 5. Understand and apply proper conversion algorithms between the different

GRS.


1. Introduction. Definition of geodesy. Historical development of geodesy. Shape and size of the Earth. Earth motions.

2. Geocentric rectangular coordinates. Spherical and ellipsoidal coordinates. Conversion between the coordinates.

3. Rotational ellipsoid and its geometry. 4. Geodetic reference system, frames and geodetic datum-definitions. 5. Helmert transformation parameters. 6. International Terrestrial Systems and Frames. Transformations. 7. European Terrestrial System and Frame. Transformations. 8. Basic on: Physical surface of the Earth. Structure of the Earths body.

System Dynamical Earth. Plate tectonics. 9. Natural coordinates. Astronomical coordinate system. 10. Deflection of vertical. 11. Legacy (old) Balkan Geodetic (horizontal) Datum vs Global Geodetic

Reference Systems. 12. Vertical datum. Balkan (old) vertical datum. European vertical reference

system. 13. Basic on Gravimetric reference systems. 14. Basic on Celestial systems. 15. Basic on Time systems.

10

Prerequisite Mathematics, Physics, Theory of Adjustment

Course literature

Jekeli, C., 2012: Geometric Reference Systems in Geodesy. Ohio State University, 209 pages. Mulić, M., 2016. Geodetic reference systems-lecture note. UNSA Sarajevo. Vaníček, P., E.J. Krakiwsky, 1982. Geodesy: The Concepts. North-Holland, Amsterdam, 691 pages.

Assessment

Project (individual students assignments) 2.0 credits, grade scale: 6 to 10 Examination: two test during semester 2.0 credits, written exam 2 credits, oral exam 1.5 credits, grade scale: 6 to 10

Grading


91 - 100 81 - 90 71 – 80 61 - 70 55 – 60 below 55

Course name GNSS Positioning

Semester/year 5/3

ECTS credits

Lectures: 3.5 Practice/exercise: 2 Project:2 Total:7.5

Lecturer

Study hours

Lectures:90 Practice/exercise: 50 Project: Total: 190

Learning outcomes

After that course students will: 6. havean understanding in GNSS Signal structure and GNSS signal tracking 7. be able to process GNSS observation for PVT (Position, Velocity, Timing) 8. understand the various influences on GNSS observations 9. become familiar with data processing 10. be able to connect to RTK-Network services for real-time positioning


16. GNSS System (Orbit-, Monitoring-, User Segment) 17. GNSS Signal Structure 18. GNSS Signal Tracking und Demodulation 19. GNSS Observables (Code and Phase, Doppler) 20. Satellite orbital motion, Keplerian motion 21. Broadcast and Precise Ephemerides 22. RINEX format 23. Determination of PVT via GNSS 24. Error influences and error models 25. Observation Errors 26. Linear combination of GNSS observables 27. Differential GNSS 28. Postprocessing versus Real-Time Positioning 29. Basics in Real-Time Kinematik (RTK) 30. GNSS Reference Networks

Prerequisite Mathematics, Physics

11

Course literature

Wellenhof et al., 2008, Springer: GNSS – Global Navigation Satellite Systems Kaplan, E.D., Hegarty, C.J., 2006, Artech House Inc.: Understanding GPS: Principles and Applications, 2nd Edition Nurmi, J., Lohan, E.S., Sand, S., Hurskainen, H., 2015, Springer Science+Business Media Dordrecht: GALILEO Positioning Technology

Assessment Examination, 5 credits, grade scale: 6 to 10

Grading

10 Excellent 91 - 100 9 Very good 81 - 90 8 Good 71 - 80 7 Satisfactory 61 - 70 6 Adequate performance 55 - 60 5 Unacceptable below 55

Course name Engineering surveying

Semester / year 5/3

ECTS credits


Lecturer

Study hours


Learning outcomes

The aim of this course is to provide an overview geodetic works during planing, designing,construction and exploitation of structures , with emphasis on accuracy calculation and methodsof setting out, and specific requirements of geodetic networks in engineering. The course will provide the students with necessary practical skills to execution of engineering tasks in this area.

After this course the students will be able to execution of engineering tasks:

Designing geodetic network for engineering , realization of geodetic networks, calculation of coordinates of the characteristic points of the object, setting out.


Tasks of engineering surveying, Calculacion of coordinates of the characteristic points of the object and curves, Calculating the volume, Accuracy calculation and methods of setting out, Basic concepts about design of surveying works in engineering. Preliminary, main, detailed design. The roleof geodesyat every stageof design,construction and operation ofthe facility. Geodetic networks in engineering. Types of networks in engineering. Quality criteria ofgeodetic networks in engineering: precission, reliability. Report about realization of geodetic network projects. Report about realization of stakeout projects. Geodetic works in construction of roads and bridges. Surveying works in the constructionof tunnels and dams. Geodetic works in construction of power lines and cable car. Geodetic works in construction ofbuildings. Geodetic works in construction of hydro technical objects.

Prerequisite Surveying

12

Course literature

Begovic, A: Engineering Surveying 1 and 2, Faculty of Civil Engineering, Scientific Book, Belgrade,1990. (in Serbian) Ašanin, S and others:Work book of selected tasks from Engineering Surveying/, Geokarta, Belgrade, 2007. (in Serbian) Schofield, W., Breach, M,: Engineering surveying, Elsevier’s Science, Oxford, 2007. Frankic K. 2017 (to be published). Engineering geodesy. Faculty of Civil Engineering in Sarajevo (in Croatian/Bosnian) Pasalic S. 1995. Engineering geodesy. Faculty of Civil Engineering in Sarajevo (in Bosnian)


Grading

10 Excellent91 - 100 9 Very good 81 - 90 8 Good 71 - 80 7 Satisfactory 61 - 70 6 Adequate performance 51 - 60 5 Unacceptable below 51

Course name Theory of errors and adjustment theory

Semester / year 3/2 and 4/2 (per 5 ECTS)

ECTS credits


Lecturer

Study hours


Learning outcomes

After completing the course the candidate shall be able to: 1) understand the basic terms at the area of probability and statistics, 2) use the hypothesys in testing the geodetic data quality, 3) understand error propagation principle and solve some geodetic problems related, 4) use basic statistical packages in solving data processing problems (Excel, etc.), 5) understand principle of least square method, 6) use mathematical background to solve observable equitions and calcualate parameters in geodetic models, 7) analyse the accuracy of parameter estimates, 7) present the homeworks successfuly, 8) use professional literature and 9 ) continue to the next level of study.


Statistics (descriptive, inferential, types of data) Collecting Data and Survey Design Theory of Probability Random variables and Probability Distributions (Normal, Student, Hi^2 and Fisher) Estimation (sampling, point estimation, interval estimation, confidence interval) Hypothesis Testing (concept, paremetar's and nonparameter's tests , goodnes of fit) Correlation and Regression (introduction, models, fitting a straight line, correlation) Principle of least squares method, types of adjustment Adjustment of direct observations Principle of adjustment by elements, observation equitions, propagation of errors Measures of Accuracy in Geodetic Networks Concept of Reliability of Geodetic Measurements

Prerequisite Mathematics/ basic

13

Course literature

Bozic, B.: Theory of errors of geodetic measurements, The Faculty of Civil Engineering,Belgrade, 2012 Bozic, B.: Adjustment calculation - basic, The Faculty of Civil Engineering,Belgrade, 2012 Perovic, G.: Method of least square, Autor, Belgrade, 2005 Fan, H.: Theory of Errors and Least Squares Adjustment, Royal Institute of Technology, 10044 Stockholm, Sweden, 2010 Wolf,P. , Ghilani, C.: Adjustment computations, statistics and least squares in surveying and GIS, John Wiley&Sons, inc., 1997 Bjerhammar, A.:Theory of errors and Generalized Matrix Inverses, Elsevier Science, New York,1973 Teunissen, P.J.G.: Adjustment theory - an introduction, Delft university of technology, 2003. Koch, K.R.: Parameter estimation and hypothesis testing in linear models, Springer-Verlag, Berlin, 1988

Assessment Project, 4 credits, grade scale: 6 to 10 Examination, 6 credits, grade scale: 6 to 10

Grading


Course name Geodetic project work (incl. professional practice)

Semester / year 4/2

ECTS credits


Lecturer

Study hours

Lectures: 25 Practice/exercise:50 Project: 50 Total: 125

Learning outcomes

Students will learn the most important principles and concepts in the field of management in companies and public sector (professional ethics, licenses to operate, monitor and control ...). They will also become familiar with legal provisions that regulate management in geodesy, as well as with international experiences in management, in both public and commercial geodetic sector.


Defining management. Process and areas of management. Function and role of management, levels of managerial operations, manager skills. Management in companies. Forms and ownership structure of companies, corporate action concept. Connecting companies (parent and subsidiary, a company with interactive participation, holding, business association, a consortium ...). Company bodies and the division of responsibilities. The organizational structure of companies - definition, identification, parameters, factors, interdependence of strategy and structure, organizational models of companies. Performance indicators of companies: accounting indicators, ratio analysis of performance. Balance sheet and income statement. Management in public sector - political and professional management. Organizational models of public administration (surveying and mapping authorities, institutions, agencies and levels of their legal scope). - Case studies (typical examples). Organizational forms of state geodetic institutions in EU countries - Case studies.

14

Prerequisite No

Course literature Z. Gospavić: Management in geodesy, 2010, Faculty of Civil Engineering, Belgrade

Assessment Project, 3 credits, gradscale scale: 6 to 10 Examination, 2 credits, grade scale: 6 to 10

Grading

10 Excellent91 – 100 9 Very good 81 - 90 8 Good 71 - 80 7 Satisfactory 61 - 70 6 Adequate performance 51 - 60 5 Unacceptable below 51

Course name Geographic Information Systems

Semester / year 3/2 and 4/2 (per 5 ECTS)

ECTS credits


Lecturer

Study hours


Learning outcomes

The format of this course will consist of lectures, lab assignments and project

assignment. After completing this course the student will:

understand GIS data models, principles that these models are based on and their limitations;

have knowledge on spatial data management and spatial data indexing;

have knowledge on GIS technology;

understand principles that various techniques for spatial analysis are based on;

have skills to use GISand other software tools for processing spatial data and implementing spatial analysis for solving various practical problems;

be able to asses uncertainty of the spatial data and the results of spatial analysis;

have knowledge on GIS applications and skills to implement GIS models for some of these applications.

15


Introduction and terminology (GIS basics, functions and components, applications).

Models of geospatial data and modellingprocess (field-based models,object-based models,vector andraster data models).

Data structures, access methods and algorithms for processing spatial data (spatial indexing, geometric algorithms and spatial queries).

GIS architectures and technology (spatial databases, GISand DBMS software).

Basics of cartographic interfaces and geovisualisation. Time component of spatial data. Spatial data acquisition,processing and maintenance,including quality control

and assessment. Spatial interpolation for building field-based models (global, local and kriging

methods). Raster GIS analysis (raster data queries, local, neighborhood, zonal and other

operations, spatial filtering, map algebra, etc.). Vector GIS analysis (spatial and attribute queries, descriptive statistics,

polygon overlay, buffering, pattern analysis, geocoding, network analysis, etc.).

Basics of digital terrain modelling and analysis. Spatial reasoning and uncertainty (concepts, quality of spatial data, qualitative

and quantitative approach, transfer of errors in spatial analysis). Standardization in the field of geoinformation (ISO TC 211, OGC,

INSPIRE). Spatial data management and distribution (spatial databases, spatial data

infrastructures, web GIS).

Prerequisite None

Course literature

Kang-Tsung Chang: Introduction to Geographic Information Systems, Eight edition, McGraw-Hill, 2016.

Michael F. Worboys: GIS : A computing perspective, Taylor and Francis, 1995.

Burrough P.A., McDonnell, R.A.: Principles of Geographic information sistems, Faculty of Civil Engineering, University of Belgrade, 2006, in Serbian.

Paul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind: Geographic Information Systems and Science, 2001.

Edmond Hoxha: Geographical Information Systems, in Albanian, 2014.

Assessment

Practice/exercise, 3 credits, gradscale scale: 6 to 10

Project, 1 credits, gradscale scale: 6 to 10

Examination, 6 credits, grade scale: 6 to 10

Grading

10Excellent 91 - 100 9 Very good 81 - 90 8 Good 71 - 80 7 Satisfactory 61 - 70 6 Adequate performance 51 - 60 5 Unacceptable below 51

Course name Photogrammetry I

Semester / year 4/2

ECTS credits


Lecturer

16

Study hours


Learning outcomes

After that course students will: 1. Be introduced into the basis of Photogrammetry (aerial and terrestrial) from

analogue to digital, as a surveying and mapping method and skill. 2. Have the possibility to create and produce maps, orthomaps and other

products to support according to accuracy and standards required by plan and topographic maps in a wide range of scale.


1. Introduction, term and definition of photogrammetry. 2. Photography, basics of optics, behavior of light, lens errors, lenses and their

main features, photographic emulsions. Film sensitivity, emulsions, gradation and characteristic gradation curve, spectral sensibility, grain size and a power of decomposition, filters.

3. Digital photography, basics, work with digital cameras, software. 4. Color photography, basic principles, advantages and disadvantages. Elements

of individual images, inner and outer orientation, types of images for plain and stereophotogrammetry.

5. Image as the central projection, image coordinate system, geometrical relationship between image and terrain, transformation formula.

6. Terrestrial photogrammetry, equipment. Phototheodolites, formats of images, focal length, filed of view, luminous intensity, photo layers.

7. Close-range photogrammetry, purpose and principles, stereometric cameras, control points.

8. Aerophotogrammetry, means of transport, orientation devices for navigation, the instruments for data of outer orientation, types of cameras, analogue cameras, digital cameras.

9. Shooting, weather, scale, overlapping and the required number of images, the choice of camera, flight planning. Control points in aerophotogrammetry, layout, number, stabilization, photo-signalization, signalization, geodetic positioning, accuracy of control points.

10. Interpretation of aerophotogrammetric images. Decryption, photoimages, data collection for the names, classes, etc.

Prerequisite None

Course literature Kraus, K. (2006): Fotogrametrija, volume I, translation, Zagreb-Sarajevo

Assessment By Written Exam. Grade scale: 6 to 10 (local grade scale: 5 to10)

Grading


91 - 100 81 - 90 71 - 80 61 - 70 51 - 60 below 51

Course name Photogrammetry II

Semester / year 5/3

ECTS credits

Lectures: 1.5 Practice/exercise: 1 Project: 1 Total: 3.5

17

Lecturer

Study hours


Learning outcomes

After that course students will: 1. Acquire skills in practical tasks of photogrammetric survey. 2. Be familiar with the main steps and procedures for using, applying and

interpretation of terrestrial and aerial photos, the proper technologies to be used till at the digital level.


1. Projective geometry. 2. The separation of the left and right image to the left and right eye.

Perspective-positional separation. Matching points on stereopair. Luminosity equality of stereo-images. Types and classification of stereoplotters, function and structure.

3. Stereo-restitution, with known outer orientation, with unknown outer orientation.

4. Danger surfaces in relative orientation. 5. Mean-square errors of the orientation elements. Model deformations in

relative orientation. Numerical absolute orientation. 6. Stereoscopic observation systems. Principle of stereoscopic measurement.

Parallax bar. Refining the image coordinates. 7. Atmospheric refraction for a vertical photograph. Effect of earth curvature in

photogrammetry. 8. Universal analytical stereoplotters, methods of data capture. Simplified

analytical stereoplotters. Accuracy of stereoscopic data capture. 9. Photogrammetric triangulation, preliminary remarks, block adjustment by

independent models, bundle block adjustment. Accuracy, advantages and disadvantages of bundle adjustment. Bundle block adjustment in close-range photogrammetry.

10. Obtaining of digital orthophotos, orientation and georeferencing of digital images.

11. Principles of using images from drones for engineering purposes as well as for obtaining planimetry in large scale.

Prerequisite None

Course literature

Kraus, K. (2006): Fotogrametrija – volume 1, translation, Zagreb-Sarajevo

Kraus, K. (1997): Photogrammetry, volume 2, Bonn, Germany.

Assessment By Written Exam. grade scale: 6 to 10 (local grade scale: 5 to10)

Grading


91 - 100 81 - 90 71 - 80 61 - 70 51 - 60 below 51

18

Course name Remote Sensing

Semester / year 6/3

ECTS credits

Lectures: 2.5 Practice/exercise: 2.5 Project: 0 Total: 5

Lecturer

Study hours


Learning outcomes

After completion of this course candidates have sufficient knowledge in the field of remote sensing and computer image processing. Have knowledge of remote sensing and its application Understanding the physical basis of remote sensing. Learning techniques of detection, sensors on satellites and aircrafts. Knowing the theory and practice of image data processing.


Definition of Remote Sensing

Short historical review of remote sensing

Electromagnetic Radiation Principles

Digital Image Processing Hardware and Software

Image Quality Assessment and Statistical Evaluation

Display Alternatives and Scientific Visualization

Radiometric Correction

Geometric Correction

Image Enhancement

Information Extraction

Examples of use

Prerequisite None

Course literature

CAMPBELL, J. B. (2002). “Introduction to remote sensing” 3ª Edición. Ed. New York, The Guilford Press. JENSEN, J.R.; (1996), Introductory Digital Image Processing. A Remote Sensing Perspectiva, Ed.Prentice may. JENSEN, J.R (2000) Remote Sensing of the Environment: An Earth Resource Perspective, 2nd Edition, Prentice-Hall 544p Lillesand, T. M., Kiefer, R. W. and Chipman, J (2007) Remote Sensing and Image Interpretation (6th Ed). Wiley and Sons, New York

Assessment

Written exam about theoretical-practical knowledge: 20%. Tasks and seminars submmited during the course: 20% Practical exam (computer-based), using the provided files and software: 30% Remote sensing project: written paper and presentation about the study case assigned to each group: 30%

Written exam about theoretical-practical knowledge: 50%. Tasks and seminars submmited during the course: 15% Practical exam (computer-based), using the provided files and software: 35% Remote sensing project: written paper and presentation about the study case assigned to each group: OPTIONAL

19

Grading

Local Grade Grade Cumulative % Definition

10-9 A 10 outstanding performance with only minor errors

8 B 35 above the average standard but with some errors

7 C 65 generally sound work with a number of notable errors

6 D 90 fair but with significant shortcomings

5 E ~100 performance meets the minimum criteria

<5 F, FX

Fail – some more/ considerable further work required before the credit can be awarded


10 A 10 outstanding performance with only minor errors





5 F, FX


Course name Cartography and Map Projections

Semester / year 5/3

ECTS credits

Lectures: 4.5 Practice/exercise: 3 Project: 0 Total: 7.5

Lecturer

Study hours


Learning outcomes

Acquiring knowledge about the history of making maps. Difference between topographic and thematic maps. The content of maps (map objects). Acquiring necessary knowledge on the most commonly used map projections and on their mathematical basis, equations, properties and deformation characteristics. General map design and cartographic generalization methods. Acquiring necessary knowledge on read and use maps (analog, raster and vector data), basic

20

method of cartographic modelling of the real world. They are trained to use available software tools to collect cartographic data in digital form and perform cartographic processing and presentation. Students are acquainted with basic map projections and their characteristics and are trained to perform coordinate calculation and deformation parameters, as with special emphasis on the projection of the national coordinate system.


Definitions cartography and maps. History of making maps.

Classification of maps. Means of cartographic representation.

Mathematical basis of maps.

Object and tasks of mathematical cartography.

General equations of cartographic mapping in rectangular and polar coordinates.

Linear deformation, deformation of angles and surfaces.

Conic projections.

Cylindrical projections.

Azimuthal projection.

TM (Gauss-Kruger) projection. UTM projection. Lambert conformal conic projection

Calculation of deformation parameters.

Cartographic generalization.

Visualization of relief, hydrography, transport networks, populated places.

Topographic Mapping.

Topographic Information Systems.

Thematic cartography.

Prerequisite No

Course literature

Kraak, M. J., & Ormeling, F. (2011). Cartography: visualization of spatial data. Guilford Press.

Tyner, Judith (2010). Principles of Map Design. New York: The Guilford Press. Lev M. Bugayevskiy, John P. Snyder, (1998) Map Projections, A reference Manual, Taylor&Frances

Assessment Written exam about theoretical-practical knowledge: 55%. Tasks and seminars submmited during the course: 15% Practical exam (computer-based), using the provided files and software: 30%

Grading


Module name Cadastre I

Semester / year 3/2

ECTS credits

Lectures: 2,5 Practice/exercise: 1 Project: 1,5 Total: 5

Lecturer

Study hours


21

Learning outcomes

After pass of exam students will : 1. understand problems of real estate and have developed knowledge and

skills to maintain a registry or database of real estate cadastre. 2. have developed knowledge and skills to experise in judical and

administrative proceeding. 3. gain knowledge and skills to maintain databases of land registry 4. gain knowledge and skills for resolution of agrar operations 5. gain skills to maintain cadastre of communal facilities database 6. understand the problem of land usurpation


1. Introduction in the module, Registering the real estates and rights (national dependent example).

2. Basic characteristics of the cadastre in the native country. Cadastre in some European countries

3. Cadastral territorial units, old and new cadastral survey in the native country.

4. Cadastral survey 5. Land usurpation 6. Classification of cadastre parcel 7. Public presentation of results of cadastral survey and cadastral classified

parcels 8. Creating of cadastre database 9. Basic of Law of the administrative and office works 10. Land register and land database 11. Field and office works for maintenance cadastre database 12. Works of maintenance land registry database 13. Agricultural operations 14. Creating data base of cadastre of communal facilities 15. Field and office works for maintenance of database for Cadastre of

communal facilities

Prerequisite Surveying modules and Geodetic plans (if selected)

Course literature

- Larsson, Gerhard (1991): Land Registration and Cadastral Systems: Tools of Land Information and Management.. New York: Longman Scientific and Technical

- Lukić V. (1995): (Cadastre of real estate) Katastar nekretnina. Faculty of Forestry Banja Luka, Bosnia and Herzegovina

Assessment Assessment is based on project achievement, two tests during semester and final written examination.

Grading


Course name Cadastre II (State survey)

Semester / year 4/2

ECTS credits


Lecturer

22

Study hours

Lectures: 37,5 Practice/exercise: 37,5 Project: 50 Total: 125

Learning outcomes

After this course student will: 11. Be familiar with legacy (old) local and modern global standards in the field

of state/cadastre survey. 12. Gain deep understanding of way how positional (horizontal), vertical and

gravimetric reference networks and associated datum were realised. 13. Apply formulas and algorithm to do calculation on reference ellipsoid. 14. Got advanced knowledge and skills to survey, processing and adjusting data. 15. Apply knowledge to do assessment and quality control of old and modern

geodetic fundamental networks in West Balkan counties and Europe.


1. Introduction. Development of geodesy through history and its definition. 2. History of the state and cadastre survey. Purpose and significance of old

triangulation, trilateration, geodetic astronomy, levelling, gravimetric and geomagnetic measurements.

3. Methods for determining astronomical latitudes, longitudes and azimuth. 4. Ellipsoidal geodesy. Basic surfaces and line on the ellipsoid: meridian, vertical,

parallel. Normal section and duality of normal section. 5. Geodesic and relations to normal section. 6. First and second tasks on the reference ellipsoid. 7. State survey from nineteenth century in West Balkan-overview: reference

networks, datum realisation, instruments and methods of cartographic representations, cadastral survey.

8. State survey from twentieth century in West Balkan-overview: reference networks, datum realisation, instruments and methods of state survey and methods of cartographic representations, cadastral survey, geoid determination.

9. State survey in new age. Network of permanent geodetic stations. 10. Designing of the positioning network in state and the city's positioning network,

the principle of optimization of geodetic networks. Scale of networks. Electronic measuring of the distances, their correction and reduction. GPS measuring of distances.

11. Mathematical models of adjustment on the ellipsoid, sphere and the projection plane.

12. Heights systems. Mutual relations and transformation of height system. 13. Levelling networks. Trigonometric levelling. Transfer of the heights by

combination of GNSS and the geoid determination.. 14. Fundamental old and future state levelling networks, UELN and EUVN. 15. Old and modern gravimetric networks. Digital terrain models.

Prerequisite Passed exams: Mathematics, Physics, Surveying modules, Theory of error and adjustment. Participated to courses: Geodetic reference systems, Cadastre I.

Course literature

1. Torge W.: Geodesy, 3rd Edition, Walter de Gruyter, 2001 2. Muminagić, A.: Viša geodezija I (Advanced geodesy I), Faculty of Civil

Engineering UNSA, 1981. 3. Muminagić, A.: Viša geodezija II (Advanced geodesy II), Faculty of Civil

Engineering UNSA, 1985. 4. Vaníček, P., E.J. Krakiwsky, 1982. Geodesy: The Concepts. North-

Holland, Amsterdam, 691 pages.

Assessment

Examination: Two midterm written exams during semester, (in total can earn 70 points). If student earn more that 55% points for each midterm exam than have to pass final oral exam and can earn additional 10 points. If pass only one midterm exam (during semester) students can take final exam but write only this one not passed. Project: 20 points Grade scale: 6 to 10

Grading 10 Excellent 91 - 100 9 Very good 81 - 90

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8 Good 71 - 80 7 Satisfactory 61 - 70 6 Adequate performance 55 - 60 5 Unacceptable below 55

Course name Land Management

Semester / year 5/3

ECTS credits


Lecturer

Study hours

Lectures: 50 Practice/exercise:0 Project: 75 Total: 125

Learning outcomes

The aim of this course is to present the theoretical basis concerning land management, land policy, management and admistration problems in various legal systems.

The students will be given thorough knowledge and fundamental understanding of economical, legal, organisational issues concerning land management. Special emphasis will be on the problems concerning real Estate Invesment, financial and market analasys to valuation of real estate.

During this course the students will be able to explore the fundamental concepts and methods of GIS and how GIS can be used as support system to land management

The course will provide the students an overview of theories and methods in research in order to manage their thesis.

After this course the students will be able to demonstrate their understanding of the research process by:

Formulate a thesis proposal

Write a literature review

Defend their thesis proposal

Discuss someone else’s thesis proposal and thesis

24


Land management basics.

Development of land management in various countries in Europe..

Land policy.

Economics in land management.

Legal systems and comparative law.

Property rights.

Real estate valuation and its roll in land management.

Mass valuation.

Real estate investment analysis.

Land information systems.

GIS as a support system for land management.

Cadastre as a support system for land management.

Urban land development.

Rural land develpment.

Land banking and land funds

Prerequisite Cadastre

Course literature

Keyzer, M., Ermoliev, Y.: Modelling producer decisions on land use in a spatial continuum, International Institute for Applied Systems Analysis, Luxemburg. Coito, R., Duarte,P: Development of integrated Tehnological Information Systems to Support Land Management Projects in Potrugal, Vila Real Rattermann, M.: The student Handbook to the Appraisal of Real Estate, Chikago, 2004. IAAO, Mass Appraisal and Assessment Administration, The International Association of Assessing Officers, 1990. Ling, D.C. & Archer, W.R. (2005). Real Estate Principles – A Value Approach. McGraw-Hill, New York Jaffe, A.J. & Sirmans, C.F. (1995). Fundamentals of Real Estate Investment.3rd Edition, Prentice-Hall Marošan, S., Milićević, D., Đokić, V., Šoškić, M. (2014): VALUE FRAMEWORK FOR EVALUATION OF LAND BANKS/FUNDS. Geodetski Vestnik, Vol. 58 Issue3 World Bank (2003) Land Policy for Growth and Poverty Reduction

Assessment Project, 3 credits, gradscale scale: 6 to 10 Examination, 2 credits, grade scale: 6 to 10

Grading

10 Excellent91 - 100 9 Very good 81 - 90 8 Good 71 - 80 7 Satisfactory 61 - 70 6 Adequate performance 51 - 60 5 Unacceptable below 51

Course name Satellite Geodesy

Semester / year 6/3

ECTS credits

Lectures: 3 Practice/exercise: Project: Total: 3

Lecturer

25

Study hours

Lectures: 75 Practice/exercise: Project: Total: 75

Learning outcomes

The aim of this course is to introduce students to orbital theory employed by currently active geodetic satellite techniques as well as to provide basic knowledge in SLR and Altimetry. After this course the students will be familiar with: the basics of artificial satellite motion and orbit perturbation theory. Characteristics of special satellite orbits like GEO, LEO and sun-synchronous orbits will be explained. In addition the course provides an introduction to frequently used geodetic satellite techniques beside GNSS, namely SLR and Altimetry.


1. Two- and Three-body problems 2. Equations of Motion 3. Orbit Perturbations of Artificial Satellites 4. Introduction to SLR,LLR and Altimetry-Techniques 5. Typical orbits of GNSS, SLR and Altimetry Satellites 6. Special Satellite Orbits (GEO, IGSO, Sun-synchronous, LEO) and their

application in Satellite Geodesy 7. Transfer Orbits

Prerequisite No

Course literature

Seeber G.: Satellite Geodesy, 2nd , 2008, de Gruyter, Beutler G.:Methods of Celestial Mechanics, 2005 , Springer Montenbruck O., Gill E.: Satellite orbits: Models, methods, applications, 2000, Springer

Assessment Examination, 3 credits, grade scale: 6 to 10

Grading


26

Selected courses

Course name Introduction to Programming

Semester / year 2/1

ECTS credits


Lecturer

Study hours


Learning outcomes

After completion of this course, students will gain knowledge and skills to write, test and debug object-oriented programs. They will learn object-oriented paradigm concepts and its application in software system implementation, reusing code by applying aggregation and inheritance. Students will also learn to handle exceptions, access relational database and develop graphical user interface.


Introduction to Java programming language. Basic programming concepts.

Object-oriented paradigm. Object-oriented programming concepts.

Association, aggregation, composition.

Extending classes and inheritance.

Abstract class and interface. Polymorphism. Dynamic binding.

Handling Exceptions

Accessing relational database using Java Database Connectivity (JDBC) API

Graphical User Interface (GUI) development using Java Swing API

Prerequisite Basic procedural programming knowledge, such as concepts of data type, variable, program flow control (sequence, selection, iteration) and basic relational database concepts knowledge.

Course literature

Eckel. B., (2006). "Thinking in Java" 4th Edition, Prentice Hall.

Stones R., Matthew N., (2005), "Beginning Databases with PostgreSQL: From Novice to Professional" 2nd Edition, Apress.

Loy M., Eckstein R., Wood D., Elliot J., Cole B., (2002) "Java Swing" 2nd Edition, O'Reilly Media.

27

Assessment Written exam about theoretical knowledge: 30%. Object-oriented program project (computer-based): 50% Object-oriented program project: written paper and presentation: 20%

Grading







<5 F, FX








5 F, FX


Module name Geodetic plans

Semester / year 3/2

ECTS credits

Lectures: 0.75 Practice/exercise: 1 Project: 1.25 Total: 3

Lecturer

28

Study hours


Learning outcomes

Successful completion of this course will provide the following learning outcomes:

An understanding of plan properties, projections and scales.

A thorough understanding of the grid system, mapping, and plan measurement.

An ability to prepare data from primary and secondary sources for mapping.

An understanding of plan and graph design principles.

To be able to renew a plan.

CAD representations of topographic and cadastral plans.

Storing digital elevation data in the contour line structure.


1. Geodetic plans and their classification, basic elements of geodetic plans.

2. Projection and trigonometric sections, geodetic plan sheets grid.

3. Content and margins of plans.

4. Standards and quality of plans.

5. Relief and its presentation on plans.

6. Interpolation of contour lines. Contour lines characteristic. Contour lines equidistance.

7. Geometric accuracy of plans.

8. Application of computer technology in the production of digital plans.

9. Hardware support,graphic programs.

10. Layers of geodetic data.

11. Entities and attributes, their classification and encryption.

12. Map symbols.

13. Digital plans as the basis for GIS.

14. Digital relief model.

15. Various calculations from digital data needed in geodetic practice and other professions.

Prerequisite

The following modules must be taken before the first lecture in Geodetic Plans:

Surveying I

Surveying II

Course literature Ţivković, I. (1975): Topografskiplanovi, Naučnaknjiga, Beograd. Tuno, N. (2009): Geodetskiplanovi, unpublished manuscript. Faculty of Civil Engineering, University of Sarajevo.


Grading A, B, C, D, E, F

Coursename Digital ImageProcessing

Semester / year

6/3

ECTScredits

Lectures: 2.5 Practice/Exercise: 2.5 Project: 0 Total: 5

29

Lecturer

Studyhours


Learning outcomes

By the end of the course students will be able to:

Develop an overview of the field of image processing.

Describe the general processes of image acquisition,storage,enhancement,segmentation,representation,anddescription

Understandthefundamentalalgorithmsandhowtoimplementthem.

Implementfilteringandenhancementalgorithmsforpanandmultispectralimages

Preparetoreadthecurrentimageprocessingresearchliterature.

Gainexperienceinapplyingimageprocessingalgorithmstorealproblems.


Introduction to image processing and computer vision Digital image fundamentals (image sensing and acquisition, image sampling and

quantisation, basics of image representation and characterization). Basics of digital signal processing (signals and systems, fourier transform and

convolution, sampling theorem) Image operations (arithmetic, logic, spatial) Image enhancement in the spatial domain (histogram transformations, fundamentals of

spatial filtering, smoothing and sharpening spatial filters) Basics of filtering in the frequency domain Image restoration Morphological image processing Image segmentation, Object based image analysis Color image processing Image Compression.

Prerequisite

Course literature

Lim,J.,S.Two-Dimensional Signal and Image Processing.Englewood

Cliffs:Prentice-Hall,1990.ISBN0-13-934563-9.

RafaelC.Gonzalez,RichardE.Woods,DigitalImageProcessing',Pearson,3rdEditi

on, 2004.

AnilK.Jain,Fundamentalsof Digital Image Processing',Pearson2002.

Kenneth R.Castleman,DigitalImageProcessing,Pearson,2006.

RafaelC.Gonzalez,RichardE.Woods,StevenEddins,'Digital Image Processing

using MATLAB',Pearson Education,Inc.,2004.

Assessment

Written exam about theoretical-practical knowledge: 20%. Tasks and seminars submitted during the course: 20% Practical exam (computer-based), using the provided files and software: 30% DIP project: written paper and presentation about the study case assigned to each group: 30%

Written exam about theoretical-practical knowledge: 50%. Tasks and seminars submitted during the course: 15% Practical exam (computer-based), using the provided files and software: 35% DIP project: written paper and presentation about the study case assigned to each group: OPTIONAL

Grading


10 - 9 A 10 outstanding performance with only minor errors


30




<5 F, FX








5 F, FX


Course name Digital Terrain Modelling

Semester / year 5/3

ECTS credits


Lecturer

Study hours


Learning outcomes

The format of this course will consist of lectures and lab assignments. After

completing this course the students will:

understand theory behind digital terrain modelling (DTM);

have knowledge and practical skills on digital terrain data acquisition technologies;

understand and apply different interpolation and surface reconstruction techniques;

have skills to use various software tools for processing digital terrain data and digital terrain analysis;

have knowledge and skills required for DTM qualitycontrol and assessment;

have knowledge and skills for various DTM applications.

31


Introduction and terminology. Terrain surface descriptors and sampling strategies. Techniques for terrain surface data acquisition (aerial photogrammetry,

LIDAR, InSAR, digitization of existing maps, field methods). Terrain surface digital modelling using grid, TIN and a hybrid models. Interpolation methods for digital terrain modelling (moving surfaces, TIN

based interpolators, variational methods, geostatistical methods, special interpolation methods).

Building grid and TIN DTMs using data from different data sources. DTM data filtering, detection and elimination of errors, quality assesment. DTM analysis (contouring, profiles and crossections, slope and aspect maps,

visibility maps, hillshading, visualisation, hydrological analysis). DTM applications. Standards.

Prerequisite Photogrammetry I

Course literature

Zhilin Li, Quing Zhu, Christopher Gold: Digital Terrain Modeling – Principles and Methodology, CRC Press, 2005.

Ţeljko Cvijetinović: Digital terrain modelling, lecture slides and text book manuscript, 2008, in Serbian.

Assessment Practice/exercise, 2 credits, gradscale scale: 6 to 10

Examination, 3 credits, grade scale: 6 to 10

Grading

10Excellent 91 - 100 9 Very good 81 - 90 8 Good 71 - 80 7 Satisfactory 61 - 70 6 Adequate performance 51 - 60 5 Unacceptable below 51

Course name Geosensors

Semester / year 6/3

ECTS credits


Lecturer

Study hours


Learning outcomes

After completion the course, students have practical knowledge and skills for designing and implementation of geosensor networks, which can be applied according to standards, concepts and examples presented during the course. Applications include the monitoring systems for mobile objects as well as variable surface structures within networks area. Students will obtain practical skills for development of software procedures for geosensor networks in both real-time and near real-time.

32


1. General terms, structure and architecture of geosensor networks 1.1. Definition, structure and types of Wireless GeoSensor Networks (WGSN), architecture and organization of nodes 1.2. Decentralized concept of WGSN, applications in geomatics 1.2. Standardized architecture, plains and levels of WGSN management 1.4. Designing principles of WGSN 1.5. Decentralized Spatial Information System (DSIS) - formal models 1.6. Components of DSIS protocol/algorithm

2. Design and analysis of geosensor networks – protocols/algorithms (3 models) 2.1. Design of optimal Tree topology of WGSN 2.2. Recalibration of WGSN 2.3. Georouting of messages 2.4. Sweep line movement and region forming 2.5. 4-intersection model. Topology of Complex Areal Objects (CAO). 2.6. Histories and chronicles of mobile objects 2.7. Histories and chronicles of CAO

3. Realization and applications of DSIS 3.1. Structure of Geo Mos software. Components and their roles. 3.2. Geo Mos: deformation model and adjustment, deformation analysis in real-time (RT) and near real-time (NRT) 3.4. Characteristics of geodetic and geotechnical sensors in WGSN 3.5. WGSN for RT/NRT monitoring of landslides and levees (changes in underground structure of soil) 3.6. WGSN for RT/NRT monitoring of objects (buildings, bridges, dams, Smart House concept) 3.7. WGSN for RT/NRT traffic monitoring (monitoring and management of mobile objects, location based services, Smart City concept) 3.8. WGSN for RT/NRT agricultural monitoring 3.9. WGSN for RT/NRT polution monitoring (air, water, soil)

Prerequisite Knowledge and skills related to technologies of active remote sensing, basic procedural programming and relational/spatial database knowledge, basic principles of sensor measurement.

Course literature

Matt Duckham, Decentralized Spatial Computing - Foundations of Geosensor Networks, Springer, 2013.

Anthony Stefanidis, Silvia Nittel (Eds.), "Geosensor Networks", First International Conference, CRC Press, 2004.

Nittel Silvia, Labrinidis Alexandros, Stefanidis Anthony (Eds.), "Geosensor Networks", Second International Conference, Springer, 2006.

Niki Trigoni, Andrew Markham, Sarfraz Nawaz (Eds.), "Geosensor Networks", Third International Conference, Springer, 2009.

Claudio Margottini, Paolo Canuti, Kyoji Sassa (Eds.), "Landslide Science and Practice, Volume 2: Early Warning, Instrumentation and Monitoring", Springer, 2013.

C. S. Raghavendra, K. M. Sivalingam, T. Znati, "Wireless sensor networks", Kluwer academic publishers, 2004.

Assessment

Practical exam: 50% o Two practical exams (computer-based), using the provided files and

software: 20% o One laboratory exam (computer and sensors based): 15% o One project: paper and presentation about the study case: 15%

Theoretical-practical exam 50% o WGSN design: 15% o Development of WGSN protocols and algorithms: 15% o Realization and application of DSIS 20%

Grading



33





<5 F, FX








5 F, FX


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