Course content

Visualisation and data modelling:

Computer Vision and 3D data processing

Obligatory | 3 ECTS

The aim of the course is to equip students with the knowledge on Computer vision 2D/3D data processing. This course explores the knowledge about the Computer Vision algorithms used for Structure-from-motion approaches and advanced 3D data processing. The image and 3D data processing will be performed using the OpenCV and additional libraries which will result in using ready-to-use algorithms and automated processes.

Mobile and Navigational Cartography

Obligatory | 3 ECTS

To familiarise students with the theoretical and practical knowledge on the technologies and methods of creating cartographical elements of navigation application. The emphasis is on providing the understanding of how to design and use various kind of maps for navigation purposes and form location-based services (LBS).

3D city modelling

Obligatory | 2 ECTS

Basic generation of 3D solid models in different level of details from multi sourced data. Student can create and evaluate 3D models from selected CAD or GIS software.

Algorithms and applications:

Image recognition and deep machine learning

Obligatory | 4 ECTS

The aim of the course is to acquaint students with the knowledge about the digital image processing, including image classification, image filtering, feature detection, image segmentation and object recognition. The image processing will be performed using OpenCV or MATLAB Image Processing Toolbox using ready-to-use algorithms and automated processes, e.g. neutral networks.

Programming language with numerical methods

Obligatory | 2 ECTS

The aim of the course is to provide students with the knowledge on numerical algorithms used for solving selected mathematical and engineering problems and application of these algorithms with selected programming language.

Algorithmics of navigation applications

Obligatory | 3 ECTS

To provide theoretical foundations on algorithmic problems in different types of navigation systems. To review the most common algorithms used for positioning, route calculation, tracking and presenting navigation directions.

Positioning systems:

Reference systems for navigation

Obligatory | 2 ECTS

The basic knowledge and understanding of celestial, terrestrial and local coordinate systems and dependencies between these frames in aspect static and kinematics cases.

Satellite Navigation Systems

Obligatory | 3 ECTS

After completing the course students will be familiar with the principles of operation and applications of Global Navigation Satellite Systems, including measurement techniques used in navigation and geodesy.

Integrated Navigation Systems

Obligatory | 4 ECTS

To give students theoretical and practical knowledge on the technologies and methods for the determination of the so-called navigation state vector of the user which consist of position, velocity, and attitude (or orientation) solution. The emphasis is on providing an understanding of how to use integrated navigation systems (GNSS/INS) in order to obtain parameters of the navigation state vector.

Data analysis:

Spatial analysis

Obligatory | 2 ECTS

By the end of the course students will be able to demonstrate their familiaity with skills and knowledge of: - recognition, evaluation and selection of data for spatial analysis (choosig appropriate geometric and thematic accuracy), - performing basic and advanced spatial analysis (using raster and vector data and appropriate algorithms), - evaluation of analysis results (various scenarios and hypotheses).

Spatial Data Mining and Big Data

Obligatory | 3 ECTS

The course aims to develop Data Mining skills and their application to spatial data as well as visualization and interpretation SDM’s results. This course also familiarizes students with the knowledge about Big Data and NoSQL databases.

Selected problems of stochastic data analysis

Obligatory | 4 ECTS

To give students theoretical and practical knowledge on the selected methods of random signals analysis. The course will present mathematical background and describe algorithms of empirical data analysis, both in the time and frequency domain.

Data acquisition and processing:

Mobile Mapping Technologies

Obligatory | 4 ECTS

Provide knowledge of platforms, data and application of Mobile Mapping Technology solutions including aerial, terrestrial and underwater platforms. Students can access example data and process it using commercial software with accuracy analysis of received results compared to possibilities presented in the literature.

Modern Photogrammetry

Obligatory | 3 ECTS

Mastering theoretical knowledge regarding the acquisition of airborne photos and satellite images, the quality of these images and analytical and digital photogrammetric technologies based on aerial photographs and laser scanning (digital terrain models, digital orthophotomap, 3D modeling of buildings); Acquiring practical skills in measuring and processing of photogrammetric data.

Simultaneous Localization and Mapping (SLAM)

Obligatory | 3 ECTS

Provide knowledge of platforms, data and application of SLAM algorithms. Students can access the example data and process it in selected software and analyse received results.

Standards and applications:

Standards for geodata

Obligatory | 1 ECTS

The role and structure of standardization in Geographical Information and the way of using records from standards in practice.

Urban solutions for autonomous vehicles

Obligatory | 1 ECTS

To acquaint students with the theoretical knowledge on urban requirements for the effective movement of autonomous cars, buses and autonomous taxis and autonomous UAV. Students should know new solutions used in the world in the field of parking planning, charging places for electric vehicles, launch platforms for drones, etc.

Intelligent Transportation Systems and Autonomous Cars

Obligatory | 1 ECTS

To give students theoretical knowledge on the idea and principles of principles of Intelligent Transportation Systems functioning and autonomous cars operating. Attention will be paid to relations between ITS and autonomous cars. The emphasis is on providing an understanding of how to use spatial data infrastructure, geoinformation and information-and-comunnication (ITC) technology in ITS.

Law and economics:

Basics of international economic law and intellectual property law

| 1 ECTS

Gaining knowledge of what the subject of international economic law is and what its sources are with particular emphasis on the international intellectual property protection, understanding legal aspects of international trade, familiarization with the role and functioning of the main international trade organization including those dealing with the protection of intellectual property.

Geodetic and Cartographic Documentation

| 2 ECTS

The basic knowledge of geodetic and cartographic documentation – sources, datasets, updating, integration, trends.

Principles of transport economics

| 2 ECTS

Acquiring skills and knowledge in the following areas: knowledge of basic concepts of microeconomics, understanding how to implement the basic concepts of microeconomics into the transportation sector, understanding basic rules of the transportation market

Primary subjects:

Geophysics

Obligatory | 2 ECTS

Knowledge of the basic processes in litosphere, hydrosphere (mostly oceans) and atmosphere (e.g. circulation, tides): especially in the relation to geodetic measurements. Understanding of the structure and characteristics of the Earth’s magnetic field.Elements of exploratory geophysics (especially seismic soundings). Ability to do useful calculations (e.g. geomagnetic coordinates, barometric equation etc.).

Mathematics

Obligatory | 3 ECTS

To give students basic knowledge about the function of complex variable and about partial differential equations.

Selected sections of physical geodesy and geodynamics

Obligatory | 2 ECTS

The basic knowledge and understanding of the relation between gravity and the shape of the Earth. The definition of geoid (reference level). Skills of using the global geopotential models as the source of information about gravity field. Changes of gravity in relation with deformation of the Earth’s shape.

Diploma:

Practices in fields

Obligatory | 2 ECTS

The aim is to test the knowledge and skills acquired during the studies in a real test field, through the implementation of a project involving the launch (or testing) of MMS or the use of a developed map in an autonomous vehicle (UAV) or in selected mobile navigation applications. The aim is also learning teamwork.

English for Geomatics

Foreign | 1 ECTS

Developing English language skills up to the B2+ level - deepening the knowledge of specialist vocabulary and academic language. Acquainting students with the terminology related to geomatics necessary to use the professional literature and to prepare students to communicate on professional topics.

Diploma thesis

Obligatory | 20 ECTS

- Synthesis of the acquired knowledge in the field of Mobile Mapping and Navigation Systems. - To familiarise the student with the methodology of scientific work: selection and formulating the purpose of the work, analysis of the current state of knowledge, development of research methodology, verification and critical discussion of the obtained results.

Diploma Seminar

Obligatory | 1 ECTS

- To acquaint students with the requirements of Master thesis and with the methodology of scientific work. - To familiarize students with the structure and editing rules of scientific texts, with the proper selection and the use of literature or other data sources. - To prepare for participation in scientific discussions, proper presentation of work results, information and opinions.

Facultative courses:

Facultative course 1 - Building Information Modeling

Elective | 2 ECTS

The main objective of the course is to acquaint students with the basic principles of modeling in accordance with the standards of BIM. Students will learn the assumptions of creating documentation and models of the engineering facility. Students will be able to work with the model, search for collisions of infrastructure elements during design changes and create cost estimates and work schedules.

Facultative course 1 - Modern Measuring Instruments

Elective | 2 ECTS

Knowledge in: - total stations and levels basic and advanced functions - possible usage of modern measuring instruments Skills in: - adjustment of total stations and levels - using total station internal software to do selected types of measurements.

Facultative course 1 - Surveying services of investment

Elective | 2 ECTS

The main purpose of the course is to acquaint students with the basic principles for drafting of geodetic documentation for standard industrial investments, familiarise the participants with the nature of setting out and controlling surveys carried out on an investment project site (construction site), provide information on conditions of collaboration between surveying service providers and National Geodetic and Cartographic Service (in Poland).

Facultative course 1 - Robustness of observation systems to gross errors

Elective | 2 ECTS

Providing theoretical basis necessary to analyze with understanding the robustness of observation systems to gross errors.

Facultative course 2 - Application of aerial and satellite photogrammetry

Elective | 2 ECTS

Provide knowledge of application of photogrammetric instruments and methods in various disciplines which requires spatial information delivered in aerial and spaceborne data. Students will be able to use selected passive and active photogrammetric aerial and/or satellite data in an example application, to describe and discuss method and results referring to possibilities presented in the literature.

Facultative course 2 - Indoor navigation

Elective | 2 ECTS

To provide theoretical foundations on the issues of indoor navigation systems. To review state-of-art indoor navigation systems.

Facultative course 2 - Augmented Reality

Elective | 2 ECTS

To familiarise students with the theoretical and practical knowledge on the Augmented Reality technologies and methods and their use in navigation application. The emphasis is on providing the understanding of how to design Augmented Reality application using geoinformation datasets and cartographical knowledge.

Facultative course 3 - Selected procedures of land management

Elective | 2 ECTS

After completing the course students will be familiar with the knowledge of the selected issues and tasks in land management and related to Spatial Information Systems (SIS) applications, and will be able to obtain the data and use them as part of the land management issue. Students will be aware of the responsibility for the results of the work carried out and the potential effects that they may cause.

Facultative course 3 - Finance of property markets

Elective | 2 ECTS

The aim of the course is to provide students with an understanding of the complex economic and financial aspects of property market finance. The course leads the student through the microeconomic and macroeconomic aspects of property markets to a deeper understanding of the essence and character of the financial aspects of property markets. It is assumed students will posses a basic knowledge of economics and are able to analyze problems at an intermediate level.

Facultative course 3 - Principles of property market economics

Elective | 2 ECTS

The aim of the course is to equip students with a basic knowledge of the tools and mechanisms underpinning property market economics, and is aimed at students with no prior knowledge of economics. The lectures will focus on topics which are essential for future study of advanced property market economics and finance. The course could be treated as an introduction to a ‘Finance of property markets’ course or as a separate entity full basic course in property market economics.

Facultative course 3 - Contemporary challenges in cities’ development planning

Elective | 2 ECTS

The objective of the course is to present: • current challenges faced by the cities across the world, with particular focus on Europe • the means of dealing with these, in many cases, highly unpredictable processes on a city level, presented using good examples • flexible and resilient modern urban planning.

Semester 1

Basics of international economic law and intellectual property law
| 1 ECTS
Purpose of the course
Gaining knowledge of what the subject of international economic law is and what its sources are with particular emphasis on the international intellectual property protection, understanding legal aspects of international trade, familiarization with the role and functioning of the main international trade organization including those dealing with the protection of intellectual property.
Content of the course
International law vs. internal law – the concept and the scope, allocation of economic law in the system of international and internal law, the difference between international economic law and internal economic law, the description of the sources international economic law and intellectual property law, analysis of the basic international trade treaties and agreements (i.e. GATT, GATS), the presentation of the main international trade organization (i.e. WTO, EU, IMF). The origin of international intellectual property protection, the scope and the basic areas of intellectual property protection – copyrights and inventive law (patent, trademark etc.), the main international treaties on intellectual property and their impact on the intellectual property protection in Poland (Berne Convention, Paris Convention), the most important EU regulations on intellectual property, the role of WIPO to protect intellectual property in the world.
Modern Photogrammetry
Obligatory | 3 ECTS
Purpose of the course
Purpose of course: Mastering theoretical knowledge regarding the acquisition of airborne photos and satellite images, the quality of these images and analytical and digital photogrammetric technologies based on aerial photographs and laser scanning (digital terrain models, digital orthophotomap, 3D modeling of buildings); Acquiring practical skills in measuring and processing of photogrammetric data.
Content of the course
Lectures: (30 h) 1. The influence of solar lighting and the atmosphere on photographing the Earth's surface 2. Aerial digital camera 2.1 Large format cameras. Outlook 2.2 Medium format cameras 2.3 Oblique cameras 2.4 Direct Geo-referencing (on the fly) - advantages and limitations 3. The quality of modern aerial photographs 3.1 Lens, geometrical distortions 3.2 Interior orientation of the camera / photos 3.3 Camera calibration. Certificate of calibration 4. Aerial photos market. State-of-art in parameters for photogrammetric images in selected countries 5. Satellite imaging in the optical range. VHRS systems 5.1 VHRS systems - spatial resolution 5.2 HRS systems - data availability 5.3 Constellations of nanosatellites - time resolution 6. Airborne laser scanning (ALS) 6.1 Designing of coverage of the area with ALS data 6.2 Form of results, content, formats 6.3 Basics of data georeferencing (field network, stages of georeferencing, quality indicators) 6.4 Colouring the cloud points 6.5 Basic products. 6.6 Applications 7. Digital elevation models 7.1 Sources of elevation data. Rating 7.2 Types of models, structure, basic normalization parameters 7.3 Derivatives from DTM 7.4 Comparison of the cloud points from ALS and image data (image matching) 7.5 Standards and state of coverage of the selected countries with elevation models 8. Microwave Interferometry (InSAR) 8.1 Idea. InSAR airborne and satellite systems. 8.2 Interferometry from one and many orbits (comparison and evaluation) 8.3 Global coverage with elevation data from InSAR satellite systems (product quality, perspectives, dInSAR) 9. Digital orthophotomap 9.1 The process of developing from aerial photographs 9.2 Standardization parameters. Photo parameters vs. orthophoto parameters 9.3 True-ortho, oblique ortho 9.4 Orthorectification of satellite images 9.5 Orthophotomap as a source of data for topographic databases 9.6 Standards and state of coverage of the selected countries with a digital orthophotomap 10. UAV. Low-altitude photogrammetry 10.1 Platform. Legal regulations 10.2 Measurement systems, imaging systems 10.3 Development of UAV data. Typical products 10.4 UAV imaging vs. aerial photography from manned aircraft. Perspective. Project: (30 h) 1. Aerial image orientation (different assumed accuracies, orientation with and without GNSS/IMU data) 2. Dense image matching: 2.1 Point cloud generation 2.2 Orthogonal projections of point clouds 2.3 DSM generation from DIM point clouds 3. Generation and evaluation of the orthophoto quality from aerial imagery - assessment of the impact of the data source and the DTM on the quality of the final product 4. Airborne Laser Scanning data: 4.1 Orientation of ALS data 4.2 Colouring point clouds using aerial images 4.3 DTM and DSM generation from ALS data - comparison to DIM products 5. Land cover detection: 5.1 Land cover change detection using elevation models 5.2 Land cover change detection using vegetation indicators 6. Oblique imagery - orientation and point cloud generation.
Programming language with numerical methods
Obligatory | 2 ECTS
Purpose of the course
The aim of the course is to provide students with the knowledge on numerical algorithms used for solving selected mathematical and engineering problems and application of these algorithms with selected programming language.
Content of the course
Introduction to programming: variable types, condition statements, loops, operations on matrices. Practical use of programming knowledge in numerical calculations. Numerical error analysis. Solution of nonlinear equations: bisection method, secant method, Newton’s method. Solving systems of linear and nonlinear equations: direct elimination methods, factorization, iterative methods. Polynomial approximation and interpolation. Least Squares method. Numerical integration. The Fourier Transform and filtering methods. Elements of geostatistics (spatial statistics, crossvalidation, kriging method).
Mobile and Navigational Cartography
Obligatory | 3 ECTS
Purpose of the course
To familiarise students with the theoretical and practical knowledge on the technologies and methods of creating cartographical elements of navigation application. The emphasis is on providing the understanding of how to design and use various kind of maps for navigation purposes and form location-based services (LBS). The student should deepen the knowledge about electronic mobile maps and classic maps used in car navigation, indoor navigation, air navigation and marine navigation.
Content of the course
Lecture: Basic concepts regarding mobile systems, mobile cartography and mobile GIS. The scope of spatial information necessary in location and navigation systems. The content of maps for navigation. Standards for the development of navigational charts (ICAO, IHO and others) The review of applications for land, air and marine navigation. The role of the map in autonomous navigation. Spatial data models for navigation application. The specificity of cartographic presentations in mobile systems. Methodology of cartographic presentation in mobile systems. Structures of databases supporting visualization in mobile systems. Project: Analysis and evaluation of the selected location and navigational systems in terms of cartographic correctness. Design and development of a cartographic presentation for the needs of a mobile navigation system.
Standards for geodata
Obligatory | 1 ECTS
Purpose of the course
The role and structure of standardization in Geographical Information and the way of using records from standards in practice.
Content of the course
The understanding of standards and norms. The goals and tasks of standardization. The objectives, structure and organization of standardization in Geographic Information. OGC Standards, ISO standards. Formalization of standards, ISO/TS 19103 specification - the UML language and ISO 19109 - rules of application schemes. The chosen issues from ISO standards of the 19000 series: - describing location (ISO 19107, ISO 19125-1, ISO 19111 and ISO 19112); - the temporal scheme (ISO 19108); - the quality of data (ISO 19157 and ISO 19158); - the methodology of cataloguing (ISO 19110); - metadata (ISO 19115); - XML - GML languages(ISO 19136 and ISO 19139). Principles of utilizing standards in specific applications.
Reference systems for navigation
Obligatory | 2 ECTS
Purpose of the course
The basic knowledge and understanding of celestial, terrestrial and local coordinate systems and dependencies between these frames in aspect static and kinematics cases.
Content of the course
Lectures 1. Celestial reference system and realization by FK and ICRF 2. Earth fixed rotation reference frame 3. International Terrestrial Reference Systems and Frame 4. Relations between ICRF and ITRF 5. Local level systems: astronomical local system defined (horizon system), topocentric three-dimensional coordinates system (LNOF) 6. Transformations between global and local level systems 7. Other navigation frames: local navigation frame, body frame, wander azimuth frame, inertial instrument frame) 8. Relations and transformations between local frames. 9. Kinematics in the local frames 10. International Height Reference System and it’s realization 11. Local (continental and national) realizations of the Earth’s frames 12. Projections of the three-dimensional reference surface (ellipsoid) to national plane datum 13. Geomagnetic field of the Earth – intensity, declination and inclination and time variation of these quantities.
Exercises 1. Kinematics of ITRF frame – modeling of the coordinate time series 2. Transformations between earth centered and local systems (astronomical frame and ellipsoidal case 3. Transformation between local frames – static and kinematics variants 4. Computation of heights based on ellipsoidal heights and obligatory reference level model (geoid or quasi-geoid) 5. Projection from the reference ellipsoid to local national plane system 6. Determination of the geomagnetic field quantities at specific epoch based on latest IGRF model and local magnetic network 7. Space variation of the geomagnetic directional quantities.
Satellite Navigation Systems
Obligatory | 3 ECTS
Purpose of the course
After completing the course students will be familiar with the principles of operation and applications of Global Navigation Satellite Systems, including measurement techniques used in navigation and geodesy.
Content of the course
1. Satellite orbits: Keplerian and perturbed motion, orbital parameters and ephemerids; 2. Fundamentals of GNSS: basic observation concepts, space segment, control segment, signal structure, code and phase observables principles, signal propagation and error budget, GNSS receivers and signal processing, detail information about GPS, GLONASS, Galileo and BeiDou systems; 3. Mathematical model for positioning: point positioning, differential/relative positioning, linear combinations and differences of phase observations, ambiguity resolution, cycle slip detection and repair, data processing and adjustment; 4. GNSS techniques implementation: Single Point Positioning, carrier-phase based positioning (PPP, RTK); 5. GNSS applications: satellite/ground-based augmentation systems, data transfer and formats (NTRIP architecture, IGS products and services), RAIM algorithm.
Selected sections of physical geodesy and geodynamics
Obligatory | 2 ECTS
Purpose of the course
The basic knowledge and understanding of the relation between gravity and the shape of the Earth. The definition of geoid (reference level). Skills of using the global geopotential models as the source of information about gravity field. Changes of gravity in relation with deformation of the Earth’s shape.
Content of the course
Normal gravity field of the Earth – shape and differential dependence between potential and geometry of the Earth. Exc.1- determination of ellipsoid shape from normal gravity field parameters for GRS80 model (1h) Anomalous gravity field - definition and computation of the gravity anomaly. Maps and digital sources of anomalous potential functionals. Exc.2- Visualization, correlation and interpolation of the selected gravity anomaly with regarding of DEM (2h) Determination of the geoid form gravity anomaly by the Stokes and Hotine solutions Fitting and validation of the gravimetric geoid. Exc.3- Computation of gravimetric geoid (Matlab) and validation and fitting to satellite-leveling network (3h) Spherical harmonic expansion of the gravitational potential – using of global geopotential models to compute of distributing potential functionals, validation of the models. Exc.4- Compute of selected functionals for Global Geopotential Models with using of ICGEM official IAG service (3h) Tidal and non-tidal deformations - determining the deformation of the earth's crust caused by tidal phenomena and some non-tidal effects, Exc.5- Compute of the deformation of the earth's crust in a neu local frame caused by tidal and non-tidal effect. (3h) Environmental gravity field variation observed by GRACE mission (2h) Final test – 1h.
Selected problems of stochastic data analysis
Obligatory | 4 ECTS
Purpose of the course
To give students theoretical and practical knowledge on the selected methods of random signals analysis. The course will present mathematical background and describe algorithms of empirical data analysis, both in the time and frequency domain.
Content of the course
The course will begin with description of the random signals. Special attention will be paid to the properties of stationarity and ergodicity. Then, the basic characteristics of the signals will be introduced: mean value and variance, probability density, autocorrelation and power spectral density (PSD) functions, then the joint characteristics: joint probability density, cross correlation and the cross power spectral density (CPSD). The data analysis algorithms will include the classical methods, based on the digital Fourier transform, and the parametric methods focusing on the autoregressive (AR) modeling of time series. In case of AR models, the maximum entropy method (MEM) will be adopted as a basic tool for analysis of empirical data. The last part of the course will be devoted to the application of the linear Kalman filter the time domain analysis of discrete data. It will begin with definition of the linear dynamical system using the state-space formulation, then the filtering equations will be derived. The project part of the course will include application of the computer programs for analysis of empirical data. The computer programs will be those available in standard packages (Numerical Recipes, …), provided by the lecturer (MEM package), and the own program codes developed by the students.
Geophysics
Obligatory | 2 ECTS
Purpose of the course
Knowledge of the basic processes in litosphere, hydrosphere (mostly oceans) and atmosphere (e.g. circulation, tides): especially in the relation to geodetic measurements. Understanding of the structure and characteristics of the Earth’s magnetic field.Elements of exploratory geophysics (especially seismic soundings). Ability to do useful calculations (e.g. geomagnetic coordinates, barometric equation, refractivity, atmospheric optics etc).
Content of the course
The Earth as a planet. Internal structure of the Earth. Isostasy – postglacial rebound. Plate tectonics: oceanic rifts, subduction zones, orogeny, transform boundary. Rheology. Seismology: seismic waves, seismic wave propagation, Richter scale. Earth’s magnetic field: parameters, units, constituents, geodynamo hypothesis. Magnetic surveying: magnetic anomalies. Geomagnetic poles, equator and coordinates (calculation of). Paleomagnetism, polarity reversals. Magnetosphere, magnetic storms and solar activity. Hydrological cycle, physical properties (density, optical, acoustic) of oceanic water. Physical oceanography: thermocline, waves, currents, deep-water circulation, oceanic tides. Basic of fluid dynamics. Basics concepts of atmospheric thermodynamics. Atmospheric models. Hydrostatic model and barometric equation. Composition, structure and stability of the Earth’s atmosphere. Global circulation, weather processes. Atmospheric radiative properties - greenhouse effect. Climate change. Fundamentals of numerical weather prediction.
Mathematics
Obligatory | 3 ECTS
Purpose of the course
To give students basic knowledge about the function of complex variable and about partial differential equations.
Content of the course
Functions of complex variable: function derivative, Cauchy-Riemann equations, holomorfic function. Integration of complex function, Cauchy integral theorem, Cauchy integral formula, Laurent series, residual of the complex function and its application for the computation of integrals. Basic equations of mathematical physics. Partial differential equations of the first and second order and their classification. Differential equations of the string and of the thermal conductivity. Fourier method of the separation of variables. Integration and ultra-tight (deep) integration.
Image recognition and deep machine learning
Obligatory | 4 ECTS
Purpose of the course
The aim of the course is to acquaint students with the knowledge about the digital image processing, including image classification, image filtering, feature detection, image segmentation and object recognition. The image processing will be performed using OpenCV or MATLAB Image Processing Toolbox using ready-to-use algorithms and automated processes, e.g. neutral networks.
Content of the course
Tutorial (30 h) 1. Introduction to image recognition 2. Photometric image information in computer vision 2.1 Lighting 2.2 Reflectance and shading 3. Image processing 3.1 Pixel transforms (Color transforms, Compositing and matching, Histogram equalization) 3.2 Linear filtering 3.3 Non-linear filtering 3.4 Morphology 3.5 Fourier transforms 3.6 Pyramids and wavelets 4. Feature detection and matching 4.1 Point and patches 4.2 Feature detectors 4.3 Features descriptors 4.4 Features matching 4.5 Edge detection 4.6 Edge linking 4.7 Lines (successive approximation, Hough transform) 4.8 Texture analysis (fractal analysis, GLCM, granulometric analysis) 5. Segmentation 5.1 Active contours 5.2 Region split and merging 5.3 Mean shift and mode finding 5.4 Graphs cuts and energy-based methods 6. Computational image processing 6.1 Photometric calibration 6.2 HDR (High dynamic range) imaging 6.3 Texture analysis and synthesis 7. Recognition 7.1 Object detection 7.2 Face recognition 7.3 Category recognition 7.4 Context and scene understanding 8. Neural Networks 8.1 Introduction to Neural Networks 8.2 Architecture of neural networks 8.3 The Learning Process 8.4 The application of neural networks 8.5 ANN, SVM, RF 9. The overview of algorithms and methods used for satellite, aerial and terrestrial images segmentation and processing.
Project: (30 h) 1. Introduction to OpenCV or MATLAB Image Processing Toolbox 2. Displaying images - histogram and image as 3D plot, image cross-section, alignment and normalization of the histogram 3. Image processing 3.1 Pixel transformation 3.2 Linear and non-linear filtering 4. Features detection 5. Image segmentation 6. Objects recognitions on image 7. Different image storage formats 8. Image classification.

Semester 2

Geodetic and Cartographic Documentation
| 2 ECTS
Purpose of the course
The basic knowledge of geodetic and cartographic documentation – sources, datasets, updating, integration, trends.
Content of the course
1. Geodetic and cartographic documentation in Poland (central level, province level, district level) - maintaining, database sets, analogue sources etc. Geodetic and Cartographic Administration in Poland (competences and tasks)- 2h 2. Cadastre and Land Register in Poland – maintenance, set of data - 2h 3. Integration of cadastre and other public registers of real property data, especially Land Register (in Poland and chosen EU countries) – development trends of the cadastral systems - 1h 4. The access to geodetic and cartographic documentation sources (main rules, state portals, district portals, so-called branch portals) – 1h 5. Updating the geodetic and cartographic documentation sources in Poland – the chosen documentation and geodetic procedures (subdivision of parcels, post-inventory surveys etc.) - 3h 6. The chosen surveying procedures in the EU countries (delimitation and demarcation of parcel boundaries procedures, subdivisions of parcels - Austria, the Netherlands, Germany) - 3h 7. 3D Cadastre – the idea, legal and technical aspects. ISO 19152 Land Administration Domain Model (LADM), CityGML standard, BIM (the importance and possibilities of using different data sources in the process of building 3D cadastral systems and visualisation of data) – 3h.
Principles of transport economics
| 2 ECTS
Purpose of the course
Acquiring skills and knowledge in the following areas: knowledge of basic concepts of microeconomics, understanding how to implement the basic concepts of microeconomics into the transportation sector, understanding basic rules of the transportation market
Content of the course
The scope of economics as a science; division into macro- and microeconomics; different economic systems; the microeconomic perspective on transportation; demand and supply; elasticity; price; taxes; types of costs; revenue and profit; perfect competition, monopoly; monopolistic competition and oligopoly; market efficiency; transport and economics; urban transport; public transport; parking and traffic management; planning and policy.
English for Geomatics
Foreign | 1 ECTS
Purpose of the course
Developing English language skills up to the B2+ level - deepening the knowledge of specialist vocabulary and academic language. Acquainting students with the terminology related to geomatics necessary to use the professional literature and to prepare students to communicate on professional topics.
Content of the course
Compliant with the program posted on the website www.sjo.pw.edu.pl. Academic language issues related to the field of Mobile Mapping and Navigation Systems.
Facultative course 1 - Modern Measuring Instruments
Elective | 2 ECTS
Purpose of the course
Knowledge in: - total stations and levels basic and advanced functions - possible usage of modern measuring instruments Skills in: - adjustment of total stations and levels - using total station internal software to do selected types of measurements.
Content of the course
Lecture: Basic information about geodetic instruments. - axial system and basic functions of total stations, - axial system and basic functions of digital levels, Software of total stations and digital levels - basic software of total stations - extensions of the basic software - software of digital levels Adjustment of digital geodetic instruments - methods of adjustment of total station instrumental errors - methods of adjustment of digital levels instrumental errors Advanced functions of modern total stations. - automated total stations and methods of controlling them - systems of automatic target recognition - systems of displacements monitoring using automated total stations - systems of bulldozers control using total stations Auxiliary equipment of geodetic instruments - zenith eyepiece, objective caps, laser eyepiece Another measuring instruments (inclinometers, gap gauges, electronic levels, e.t.c. ).
Projects: - checking and adjustment of axial conditions in total station, - checking and adjustment of digital level main condition, - checking of total station tilt compensation system, - automatic measurement of displacements using total station internal software.
Facultative course 1 - Building Information Modeling
Elective | 2 ECTS
Purpose of the course
The main objective of the course is to acquaint students with the basic principles of modeling in accordance with the standards of BIM. Students will learn the assumptions of creating documentation and models of the engineering facility. Students will be able to work with the model, search for collisions of infrastructure elements during design changes and create cost estimates and work schedules.
Content of the course
Lectures: BIM Standards and Initiatives; BIM Guides and Execution Planning; Uses of BIM; Levels of BIM; Impact of BIM; The Evolution to Object-Based Parametric Modeling; Parametric Modeling of Buildings; Creating a model based on a point cloud; BIM Environments, Platforms, and Tools Overview of the Major BIM Design Platforms; BIM for Owners and Facility Managers; Scope of Design Services; BIM Use in Design Processes; BIM for Contractors; Processes to Develop a Contractor Building Information Model; Construction Analysis and Planning; Integration with Cost and Schedule Control and Other Management Functions.
CASE STUDIES Projects: Preparation of two models of objects in the BIM standard.- AutoCAD Revit and AutoCAD Civil 3D. Preparation of a base cost estimate from the model and collision control during design changes.
Facultative course 1 - Surveying services of investment
Elective | 2 ECTS
Purpose of the course
The main purpose of the course is to acquaint students with the basic principles for drafting of geodetic documentation for standard industrial investments, familiarise the participants with the nature of setting out and controlling surveys carried out on an investment project site (construction site), provide information on conditions of collaboration between surveying service providers and National Geodetic and Cartographic Service (in Poland).
Content of the course
Lectures: Geodetic technical standards in surveying support to construction projects Cartographic documents for project purposes Geodetic study of a project (documentary, set out and stakeout drafts ) Site log and surveying service entries Setting out and control surveys Inventory surveys Surveys related to examination of dimensions of prefabricates, aligning the formwork and positioning of curtain wall Drawing up geodetic documentation for standard construction investments.
Projects: - designing and executing two variants of a survey – precise survey of height difference (height transfer) in the conditions of an engineering investment with limited access to the object and with the use of special techniques. - developing a concept of a geometry control system for selected construction elements: plate, beam, pillar, profile etc. - measuring surface flatness of a prefabricated element using a laser instrument projecting the vertical plane - designing a survey and software executing real-time calculations for a task: positioning of elements in regard to the specified geometric conditions (windows, façade elements, prefabricated elements).
Facultative course 1 - Robustness of observation systems to gross errors
Elective | 2 ECTS
Purpose of the course
Providing theoretical basis necessary to analyze with understanding the robustness of observation systems to gross errors.
Content of the course
Lecture Observation systems and their mathematical models (Gauss-Markov models, Errors-in-Variables models and also different types of transformations and regression). Parameter estimation with the use of ordinary least squares and the total least squares. Defect of a model. Generalized inverses of matrices, the pseudo-inverse. Projection operators, orthogonal and oblique. The principle of free net adjustment. Systems with a prior knowledge on parameters. Methods of network connection – absolute and stochastic. General idea of model robustness. Model robustness versus its accuracy. Disturbance/response relationship for a linear model. The space of imperceptible disturbances and its properties. The regions of unidentifiable errors and their properties. Internal and external robustness to gross errors. Indices of internal robustness for systems with uncorrelated observations and the corresponding robustness criteria for the case of a single gross error. The indices and the criteria as above but for systems with correlated observations. Theory of robustness as a conceptual support of the methodology of designing observation systems (on the example of engineering surveys).
Projects 1. Calculating the robustness indices for a local horizontal network (uncorrelated observations, different types of the own reference system). 2. Calculating the robustness indices for stochastic connection of a newly established network to the existing points of given positions and accuracy characteristics (application of different levels of detail in the accuracy characteristics) 3. Calculating the robustness indices for multiple regression and affine transformation. Comparing the results for each of the above observation systems when assuming parameter estimation by ordinary least squares and the total least squares.
Facultative course 2 - Application of aerial and satellite photogrammetry
Elective | 2 ECTS
Purpose of the course
Provide knowledge of application of photogrammetric instruments and methods in various disciplines which requires spatial information delivered in aerial and spaceborne data. Students will be able to use selected passive and active photogrammetric aerial and/or satellite data in an example application, to describe and discuss method and results referring to possibilities presented in the literature.
Content of the course
Lectures 1. Using photogrammetric data in hydrology and crisis management – the example of IT systems used for protecting against threats and the role of photogrammetric data applied in them 2. The role of aerial and satellite photogrammetry in land cover mapping. 3. Using photogrammetric data as the source for topographic databases – European and Polish experience. 4. Aerial and satellite photogrammetry products in agriculture 5. Participation of aerial and satellite photogrammetry in Land Parcel Information System 6. Aerial and satellite photogrammetry products in forestry and nature conservation 7. The role of photogrammetry in selected surveying tasks i.e. modernization of cadastral data using photogrammetric technique and surveying tasks with the use of photogrammetric data including ALS and UAV 8. Aerial and satellite photogrammetry products in archaeology 9. Aerial and satellite photogrammetry in spatial planning 10. Application of archival photographs in forensic expertise. 11. Aerial and satellite data for military applications.
Project: 1. Introduction to exercises and topic selection 2. Conducting one short project using airborne and/or satellite data in selected applications. The proposed topics: - using airborne and satellite data in the assessment of the state and inventory of tree stands, - tree detection from ALS data, estimation of biomass, - assessment of tree stands using ALS data and vegetation indicators (NDVI, EVI, GRVI, NDWI), - using photogrammetric data in crop quality estimation, advanced 3D visibility analysis with 3D buildings models, - using photogrammetric data in solar potential assessment, - the use of photogrammetric data (aerial photographs, ALS, UAV data) in archeology - object detection, automatic vectorization, creation of documentation, - inventory of selected objects with photogrammetric data, using satellite-based photogrammetric data (orthophoto and DSM) in selected application, - volume estimation using UAV photos.
Facultative course 2 - Augmented Reality
Elective | 2 ECTS
Purpose of the course
To familiarise students with the theoretical and practical knowledge on the Augmented Reality technologies and methods and their use in navigation application. The emphasis is on providing the understanding of how to design Augmented Reality application using geoinformation datasets and cartographical knowledge.
Content of the course
Lecture: Basic concepts of Virtual Reality, Mixed Reality and Augmented Reality. The history of AR development. Review of applications using AR technology. Software and algorithms for AR systems, IT architecture of AR systems Hardware components for augmented reality (processor, display, sensors and input devices). A head-mounted display (HMD), a head-up display (HUD), a virtual retinal display (VRD), eyeglasses, smartglasses. Spatial augmented reality. The importance of geoinformation in AR applications. Augmented Reality Markup Language (ARML) Spatial data models for AR. Methodology of AR presentation in mobile systems. The specificity of cartographic presentations in AR.
Project: A development and launch of AR applications in Layar and Wikitiude (or other) environments.
Facultative course 2 - Indoor navigation
Elective | 2 ECTS
Purpose of the course
To provide theoretical foundations on the issues of indoor navigation systems. To review state-of-art indoor navigation systems.
Content of the course
1. Specific conditions of indoor navigation systems. Space perception, expectations of pedestrians, human-computer interaction. 2. Indoor positioning. Review of high precision positioning used in market systems. Typical approach in low cost systems: WiFi positioning, BlueTooth Low Energy, Pedestrian Dead Reckoning, map matching, particle filters, hybridization methods. 3. Indoor mapping. Buildings models, requirements and popular implementations. Cartographic modeling, presentation of calculated route and user position. 4. Indoor routing. Modeling of paths, routing algorithms, user tracking. 5. Indoor guidelines. Assumptions for efficient indoor directions. Landmark based approach. Automatic generation of indoor guidelines.
Algorithmics of navigation applications
Obligatory | 3 ECTS
Purpose of the course
To provide theoretical foundations on algorithmic problems in different types of navigation systems. To review the most common algorithms used for positioning, route calculation, tracking and presenting navigation directions.
Content of the course
1. Navigation systems. Specific conditions for different navigation applications: car, pedestrian, indoor, aviation, others. 2. Positioning techniques. Basic positioning methods: proximity sensing, lateration, angulation, dead reckoning, pattern matching, hybrid approaches. Satellite positioning, positioning in mobile networks, indoor positioning. Kalman filter. 3. Route planning algorithms. Road network models, Dijkstra algorithm , A* algorithm, practical aspects of implementation of A*, optimizations of A*, time dependent route planning. 4. Tracking of navigated object. Map matching algorithms, particle filters. 5. Navigation guidelines. Generic model of navigation directions, specific implementation of guidelines for different type of navigation: car, tourist, indoors.
Simultaneous localization and mapping (SLAM)
Obligatory | 3 ECTS
Purpose of the course
Provide knowledge of platforms, data and application of SLAM algorithms. Students can access the example data and process it in selected software and analyse received results.
Content of the course
1. SLAM Problem (SLAM vs SfM). 2. SLAM Application (Indoor vs Outdoor). 3. Sensors, types of observations. 3.1. Cameras (Monocular, Stereo, RGB-D). 3.2. Event Camera. 3.3. Lidar (1D, 2D, 3D). 3.4. GNSS. 3.5. IMU. 4. Methods. 4.1. EKF SLAM. 4.2. Particle Filter (Fast-SLAM). 4.3. Graph SLAM. 4.4. D-SLAM. 5. Applications of SLAM in mapping and surveying. 5.1. Robots vs UAV vs mapping. 5.2. TLS Registration. 5.3. Hand-held Mobile LiDAR. 5.4 Visual Odometry.
Spatial analysis
Obligatory | 2 ECTS
Purpose of the course
By the end of the course students will be able to demonstrate their familiaity with skills and knowledge of: - recognition, evaluation and selection of data for spatial analysis (choosig appropriate geometric and thematic accuracy), - performing basic and advanced spatial analysis (using raster and vector data and appropriate algorithms), - evaluation of analysis results (various scenarios and hypotheses), - presentation of the spatial analysis results using different cartographic techniques, - automatisation of spatial analysis process (e.g. ESRI Model Builder Tools or QGIS Modeler).
Content of the course
The practical sessions in the course will introduce students to emerging technologies in geographical information science through the use of desktop GIS software like ArcGIS / QGIS / IDRISI. Students will be introduced to the real-world geographical analysis problems (e.g. location of public transport stops or charging stations) using both Boolean and fuzzy approach and Multi-Criteria Decision Analysis (MCDA) tools. For Multi-Attribute Decision Analysis (MADA) problems students will use Analytic Hierarchy Process (AHP) and Weighted Linear Combination (WLC) methods and for Multi-Objective Decision Analysis (MODA) problems they will use post-processing analysis and will create the simple heuristic algorithm to solve multi-objective problem. The network analysis tools will be used to definitively indicate the location of infrastructure facilities including existing objects.
Mobile Mapping Technologies
Obligatory | 4 ECTS
Purpose of the course
Provide knowledge of platforms, data and application of Mobile Mapping Technology solutions including aerial, terrestrial and underwater platforms. Students can access example data and process it using commercial software with accuracy analysis of received results compared to possibilities presented in the literature.
Content of the course
Lectures: (15 h) 1. Introduction to Mobile Mapping Technology: airborne, terrestrial, underwater. System possibilities and accuracy 2. The principle of sensor integration in airborne MMT: manned and unmanned solutions 3. Products and processing of airborne MMT platforms 3.1. Typical UAV-based products versus other photogrammetric techniques 3.2. Stages of UAV images processing: project preparation, source of exterior orientation, bundle adjustment with tie point extraction, point cloud and orthophoto generation 3.3. Stages of UAV data processing: project preparation, trajectory adjustment, measurements in block adjustment, refinement, LiDAR data processing 4. Quality control of UAV-based data 5. The principle of sensor integration in terrestrial MMT platforms 6. Examples and applications of terrestrial MMS/MLS platforms (mounted on a car, train, pedestrian etc). Typical sensors configurations 7. Products and processing of terrestrial MMS/MLS platforms: 7.1. Typical MMS/MLS products: point cloud, 3D models, orthophotos, databases 7.2. Stages of MLS/MMS data processing: project preparation, bundle adjustment tie point extraction, point cloud and orthophoto generation 7.3. Quality and accuracy control for data from MMS/MLS platforms 8. Low-cost solutions in Mobile Mapping Technology as introduction to SLAM.
Project: (30 h) 1. Processing the data obtained with Mobile Mapping System mounted on a car equipped with LIDAR unit and cameras in Terrasolid / Riegl software: preparation of the project measurements, product generation, quality control 2. Processing the data obtained with UAS system equipped with LIDAR unit and digital camera in Terrasolid / Riegl software: preparation of the project, measurements, product generation, quality control.
3D city modelling
Obligatory | 2 ECTS
Purpose of the course
Basic generation of 3D solid models in different level of details from multi sourced data. Student can create and evaluate 3D models from selected CAD or GIS software.
Content of the course
Lectures: (15 h) Introduction to 3D modelling of building 1.1. methods of landscape modelling 1.2. 3D data sources 1.3. levels of details 1.4. area of study 3D modelling standards 2.1. solid models 2.2. mesh models CityGML standard 3.1. level of details in 3D building modelling 3.2. formats of files 3.3 metadata 3.4 modelling of objects different than building: constructions, vegetation Standards of Mesh City models Approaches and steps in 3D building modelling 5.1. data driven 5.2. model based 5.3. errors in city modelling 5.4. quality control of solid- and mesh-based 3D models 6. The overview of the selected software for 3D city modelling and platform providing 3D data about buildings (solid and mesh) 7. The examples and applications of city models (navigation, measurements of building volumes, noise maps, solar cadastre, visibility analysis, urban ventilation analysis, tourism etc) 8. Requirements of building model for indoor navigation 8.1. visualisation approaches 8.2 detail requirements 8.3. navigation process data model requirements 8.4. IndoorGML standard.
Project: (15 h) Advanced 3D modelling of buildings in LOD1 standard of City GML in ArcGIS 1.1. Using building footprints and ALS data to receive LOD1 city model 1.2. Editing datasets of building to fulfill the requirement of the standards 1.3. Cartographic visualisation 1.4. Quality control 2. Modelling models in LOD2 standard of City GML in Terrasolid software 2.1. Generation of 3D building models in LOD2 standard 2.2. Editing building models created in Terrasolid software using ALS data 2.3. Texturing of the building models and their visualisation 2.3. Quality control based on ALS point clouds, elevation model, direct measurements.
Integrated Navigation Systems
Obligatory | 4 ECTS
Purpose of the course
To give students theoretical and practical knowledge on the technologies and methods for the determination of the so-called navigation state vector of the user which consist of position, velocity, and attitude (or orientation) solution. The emphasis is on providing an understanding of how to use integrated navigation systems (GNSS/INS) in order to obtain parameters of the navigation state vector.
Content of the course
The main purpose of the course is to introduce a knowledge of integrated navigation systems operational principle and their usage for the determination of the so-called navigation state vector of the user which consist of position, velocity, and attitude (or orientation) solution. Topics covered include the short introduction to the basic navigation equations, among others, equations of motion and mechanization equations. Explanation of the so-called navigation state vector of the user which consist of position, velocity, and attitude (or orientation) solution. A basic introduction to the main principle of navigation sensors like accelerometers, gyroscopes, magnetometers and altimeters. The data fusion between navigation sensors with the use of complementary filter and Kalman filter. Presentation of the three main mathematical constructs used to represent the attitude of a body in three-dimensional space ( directional cosine, Euler angles and quaternions). Basic principles of inertial navigation systems (INS) and attitude and heading reference systems (AHRS). Overview of positioning techniques based on dead reckoning and position fixing methods. GNSS/ INS integration architectures: loose coupling integration, tight coupling integration and ultra-tight (deep) integration.
Computer Vision and 3D data processing
Obligatory | 3 ECTS
Purpose of the course
The aim of the course is to equip students with the knowledge on Computer vision 2D/3D data processing. This course explores the knowledge about the Computer Vision algorithms used for Structure-from-motion approaches and advanced 3D data processing. The image and 3D data processing will be performed using the OpenCV and additional libraries which will result in using ready-to-use algorithms and automated processes.
Content of the course
Lectures: (15 h) 1. Introduction to extended Computer Vision 1.1 Comparison of 2D and 3D Computer Vision 1.2 Sources of terrestrial 2D and 3D data used for shape recognition 2. Geometric primitives and transformations 2.1 Geometric primitives 2.2 2D transformations 2.3 3D transformations 2.4 3D to 2D transformations 3. Image sensing, pixel arrays, CCD cameras. Image coding 4. Comparison between Computer Vision and Photogrammetry 5. Feature-based matching 5.1 2D and 3D feature-based alignment 5.2 Pose estimation 5.3 Camera calibration 5.4 Image matching methods 6. Structure-from-motion 6.1 Triangulation 6.2 Stereo orientation 6.3 Bundle adjustment 6.4 Dense motion estimation 7. Stereo computation 7.1 Epipolar geometry 7.2 Multi-view stereo 8. Image alignment and stitching 9. Formats and types of 2D and 3D data 10. Data registration and integration 11. 3D data classification, 12. Data filtration of observation in point cloud 13. Modelling algorithms of point clouds.
Project: (15 h) 1. 2D and 3D orientation - feature detection, description, matching and registration 2. Analysis of images orientation and self-calibration 3. 3D data processing - filtration, integration and 3D modelling.

Semester 3

Facultative course 3 - Selected procedures of land management
Elective | 2 ECTS
Purpose of the course
After completing the course students will be familiar with the knowledge of the selected issues and tasks in land management and related to Spatial Information Systems (SIS) applications, and will be able to obtain the data and use them as part of the land management issue. Students will be aware of the responsibility for the results of the work carried out and the potential effects that they may cause.
Content of the course
Land management - introduction, key definitions, forms and procedures in property management. The review of the sources of information about property covered by property management (i.a. cadaster, perpetual books, master map, utility infrastructures database, examples of spatial planning and management, orthophotomap) and their position in spatial information systems. The analysis of the range of SIS applications in property management – the selected case studies.
Facultative course 3 - Finance of property markets
Elective | 2 ECTS
Purpose of the course
The aim of the course is to provide students with an understanding of the complex economic and financial aspects of property market finance. The course leads the student through the microeconomic and macroeconomic aspects of property markets to a deeper understanding of the essence and character of the financial aspects of property markets. It is assumed students will posses a basic knowledge of economics and are able to analyze problems at an intermediate level.
Content of the course
Introduction to the course; A microeconomic model of property markets; The land market; The economic aspects of location; Property supply; Macroeconomics and property markets; Stability and efficiency of property markets; Property cycles; Property market forecasting; Characteristics of property investment; Property in investment portfolios; Indirect investment in property; International property investment; Summary, revision and preparation for the final test; Final test
Facultative course 3 - Principles of property market economics
Elective | 2 ECTS
Purpose of the course
The aim of the course is to equip students with a basic knowledge of the tools and mechanisms underpinning property market economics, and is aimed at students with no prior knowledge of economics. The lectures will focus on topics which are essential for future study of advanced property market economics and finance. The course could be treated as an introduction to a ‘Finance of property markets’ course or as a separate entity full basic course in property market economics.
Content of the course
What is property market economics?; Opportunity cost in property markets; Demand and supply; Elasticity, efficiency and equity.; The role of government in property markets; Global markets in action; Utility and demand; Output and costs in property markets; Forms of markets; Public choices and public goods; Uncertainty and information in property markets; Economic growth and property markets; Finance, saving and investment in property markets; Money, capital and property markets; Final assessment
Facultative course 3 - Contemporary challenges in cities’ development planning
Elective | 2 ECTS
Purpose of the course
The objective of the course is to present: • current challenges faced by the cities across the world, with particular focus on Europe • the means of dealing with these, in many cases, highly unpredictable processes on a city level, presented using good examples • flexible and resilient modern urban planning.
Content of the course
Currently, cities in the world are facing growing challenges that can be divided into three dimensions: social, economic and environmental. We are observing rapid ageing of the global population. The intensity of the process has no precedence in many countries, including Poland, and urban areas are not prepared for the increasing share of older residents. Additionally, many cities due to low birthrate and outflow of young people face the process of depopulation. This further exacerbates their demographic situation and may negatively influence the economic development. In terms of economy, cities need to adapt to the 4th industrial Revolution which sets automatization and data exchange. These cities where the economy is still based on traditional manufacturing may encounter serious problems due to growing unemployment rates resulting from automatization of production in their factories. On the other hand, the 4th Industrial revolution may have beneficial effects on the functioning of cities : smart technologies may ease transportation flows or help in caring for older residents. The climate change is another issue that needs to be tackled in the modern urban planning. Growing temperatures leading to longer heat wave periods or massive rainfall incidents causing flooding are phenomena for which a response needs to be found.
Spatial Data Mining and Big Data
Obligatory | 3 ECTS
Purpose of the course
The course aims to develop Data Mining skills and their application to spatial data as well as visualization and interpretation SDM’s results. This course also familiarizes students with the knowledge about Big Data and NoSQL databases.
Content of the course
Statistics vs. Data Mining. Big data and spatial big data. NoSQL databases. Basic Data Mining Methods: Decision Trees (Regression and Classification Trees), Random Forest, Boosted Trees, Artificial Neural Networks, Multivariate Adaptive Regression Splines (MARS), Support Vector Machines (SVM), Association Rules, Naive Bayesian Classifier. Spatial Statistics and Geostatistics. Application of Data Mining Methods on Spatial Data. Cartographical Visualization of SDM results and their interpretation.
Intelligent Transportation Systems and Autonomous Cars
Obligatory | 1 ECTS
Purpose of the course
To give students theoretical knowledge on the idea and principles of principles of Intelligent Transportation Systems functioning and autonomous cars operating. Attention will be paid to relations between ITS and autonomous cars. The emphasis is on providing an understanding of how to use spatial data infrastructure, geoinformation and information-and-comunnication (ITC) technology in ITS.
Content of the course
The goals of building ITS systems. Standards in ITS. Architecture and components of ITS systems. Information systems for travelers. Traffic management systems. Intelligent and autonomous cars – basic principles and concept, traffic rules. Autonomous vehicles in ITS. Optimization of public transport. Supporting road safety. Electronic payments on the roads. Significance of spatial information and geoinformation technologies for ITS. Overview of ITS solutions.
Diploma thesis
Obligatory | 20 ECTS
Purpose of the course
- Synthesis of the acquired knowledge in the field of Mobile Mapping and Navigation Systems. - To familiarise the student with the methodology of scientific work: selection and formulating the purpose of the work, analysis of the current state of knowledge, development of research methodology, verification and critical discussion of the obtained results . - To equip a student with the techniques and methods of scientific writing. - To acquaint the student with the principles of preparing the presentation of the obtained results.
Content of the course
The basic contents is to familiarise students with: 1. formulation and selection of a scientific problem 2. selection of methods for research and verification of the scientific thesis 3. critical analysis of the results of scientific research 4. analysis of the current state of knowledge in the area of the chosen scientific discipline 5. using modern IT resources of the scientific database. A student completing a Master thesis should demonstrate a deeper knowledge of theory and practice in the specialty and the ability to solve problems requiring the use of modern methods of theoretical, scientific, computational and experimental analysis. The subject of the Master's thesis may be in particular: - completing a research task in the field of majoring and specialty of studies, - development or improvement of research, calculation, measurement and analytical methods, - project elaboration regarding a specific problem, based on the state of the art and technology, with independent analysis and precise conclusions. Master thesis should contain new results of analyzes, theoretical or computational research or a new solution to a given problem in the field of the realized field of study. A diploma dissertation should include, among others, a formulated task and goal, the description of the state of knowledge, the concept and assumptions of solving the problem, problem solving e.g. by experimental research, computational analysis, drawings and diagrams, conclusions, list of literature and materials used at work.
Practices in fields
Obligatory | 2 ECTS
Purpose of the course
The aim is to test the knowledge and skills acquired during the studies in a real test field, through the implementation of a project involving the launch (or testing) of MMS or the use of a developed map in an autonomous vehicle (UAV) or in selected mobile navigation applications. The aim is also learning teamwork.
Content of the course
Product prototype or product evaluation, including: - data preparation - software configuration. - calibration of devices and applications - system tests and analyzes. - preparation of the report.
Urban solutions for autonomous vehicles
Obligatory | 1 ECTS
Purpose of the course
To acquaint students with the theoretical knowledge on urban requirements for the effective movement of autonomous cars, buses and autonomous taxis and autonomous UAV. Students should know new solutions used in the world in the field of parking planning, charging places for electric vehicles, launch platforms for drones, etc. Student should know how to design modern cities to be able to develop an intelligent transport an how to use geospatial information in this process. The course, in addition to the traditional form of a lecture, will contain the element using the design thinking method. The aim of this part of the course will be to create new ideas for urban planning by student groups / teams.
Content of the course
1. Smart city - basic concepts with special consideration of urban aspects 2. Selected issues regarding planning of individual and public transport in the city. 3. Urban solutions for autonomous cars, taxis and buses 4. Urban solutions supporting the movement of unmanned aerial vehicles delivering goods and monitoring the city. 5. Possibilities of using autonomous boats in cities. 6. Discussion on innovative urban solutions supported by the design thinking method.
Diploma Seminar
Obligatory | 1 ECTS
Purpose of the course
- To acquaint students with the requirements of Master thesis and with the methodology of scientific work. - To familiarize students with the structure and editing rules of scientific texts, with the proper selection and the use of literature or other data sources. - To prepare for participation in scientific discussions, proper presentation of work results, information and opinions. - To assess the thesis progress and to receive the supervisor’s feedback. - To broaden the knowledge of selected topics in the Mobile Mapping and Navigation Systems.
Content of the course
General principles of the diploma procedure at the Faculty, Diploma Work Card, diploma exam. Diploma thesis - general expectations. Putting and verifying scientific thesis. Selection of the appropriate research methods and methods of presenting the results. Rules and recommendations for the written form of the Master thesis: the structure and the contents, summary, drawings, tables and formulas, references to literature, citation. Language of the dissertation and academic vocabulary. General rules and good practices of thesis presentation, layout and slide composition, style of the utterance. Preparing and delivering of the presentations on important stages of the diploma thesis. Intellectual property and copyright.

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