Specialization in GIS
Year III – Semester II
|GS 32351||Advanced GIS||3|
|GS 32253||Disaster Management||2|
|GS 32254||Environmental Sciences||2|
|GS 32258||GIS Modelling and Applications||2|
|UP 41899||Research Project - Part 1 (Proposal)||2|
|TOTAL CREDITS FOR YEAR III SEMESTER II – GIS||13|
Year IV – Semester I
|GS 41152||Colours in Cartography||1|
|GS 41255||Generalization and Symbolization||2|
|GS 41256||Geo-statistics in GIS||2|
|GS 41257||GIS Customization and Programming||2|
|GS 41260||Opensource GIS and Web Mapping||2|
|UP 41899||Research Project - Part 2 (Final Project with Technical Paper)||6|
|TOTAL CREDITS FOR YEAR IV SEMESTER I – GIS||17|
Year IV – Semester II
IT 42798- Industrial Training** – 700 hours – 7 credits
Total credits for GIS specialization is 150 (113+37).
Total number of credits in the BSc. Hons. Surveying Sciences is 150 credits.
The course addressed an advanced geo information system such as 3D GIS system and advanced functions of GIS. It provides an overview for spatial data modelling for 3D GIS. Practical component in 3D analysis gives students the confidence to manipulate analysis and display spatial data.
Data Uncertainty, 3D GIS, Operations on attributes of Geographic objects, Multiple Overlapping Entities in Space, Advanced Analysis, Geo-spatial data modelling, The use of 3D GIS for planning and design
Database import and export using SQL, Statistical analysis, Regression analysis of spatial data, Advance data analysis, 3D modelling in GIS, 3D Surface Creation, Utilizing various 3D Visualization Techniques, and Analysis (Image draping, exaggeration, Protrusions and 3D symbols), Analysing surfaces in 3D, Analyst, Virtual reality, Visibility analysis, Landscape and visual impact assessment, Map algebra and cartographic modelling
GS 32253 – Disaster Management
This course covers a basic knowledge on natural and man-made disasters and management of disasters effectively. It is aimed at providing the appropriate skills for disaster management at a national and international level in areas of natural and man-made disaster, climate change, terrorism, etc.
Introduction to disaster management, Types of disasters, Climate changes and predictions, Reasons for disasters, Assessments of vulnerability to disasters
Disaster management mini project
GS 32254 – Environmental Sciences
This course provides a complete overview of basic concepts of geology and geography, and advanced concepts of the environment and the science behind the various environmental activities.
Fundamentals of Geology, Fundamental Concepts of Geography, Municipal Solid Waste (MSW), Environmental Physics, Environmental Chemistry, RS/GIS Applications for Environmental Management
This course module focuses mostly on the concepts of modelling in raster-based GIS, while using some vector data as well. The GIS project design and management is also practiced by work in small groups on a selected modelling project.
Introduction to GIS models and modelling, Type of Models, Modelling applications, Modelling Automation
Perform GIS based modelling for given applications, Apply GIS modelling techniques for real world problem solving (modelling project).
This course provides a comprehensive knowledge and practical experience about colours and their uses to enhance the visualization aspects in cartography.
Fundamental aspects of colours, Basic colour theorems, Visual variables of colours, Colour charts, Problems in designing a colour chart, Colour choice for a map, Reasons to use colours on maps, Colours and the computer
GS 41255 – Generalization & Symbolization in Cartography
This course provides a comprehensive knowledge and practical experience on cartographic generalization and symbolization
Introduction to Cartographic Generalization, Change of Geometry, Practical examples in generalization of different features, Methods of generalization, Introduction to symbolization, Cartographic symbols and their perception properties
The course provides a complete overview of Geo-statistics, in order to students who wish to apply spatial and geo statistical computing in research and consulting projects. The main objective is to equip the students to continue learning and applying geo-statistical techniques to own problems.
Geo-statistical computing, Exploring and visualizing spatial data, Modelling spatial structure from point samples, Spatial analysis, Spatial prediction from point samples, Assessing the quality of spatial predictions, Spatial sampling, Interfacing R spatial with GIS, Point pattern analysis
Computational statistics with the R environment and the R Commander GUI, univariate descriptive statistics, and univariate exploratory data analysis, Statistical techniques to discover the relation between variables, Exploring and visualizing spatial data, Modelling spatial structure from point samples, Spatial data analysis, both graphical and numerical to find evidence of spatial structure, both over the whole area and locally, Spatial prediction from point samples (use the results of the spatial data analysis to predict over an interpolation grid by different methods), The concept of indicator variable.
This course will provide the necessary skills for building and implementing customized GIS mapping applications and geo-processing functions according to current industry standards. The tools and concepts we will cover comprise an introduction to programming languages and development practices commonly used to integrate, customize, automate and extend desktop GIS technologies to meet the specific needs of end users.
Introduction to Python Scripting and Programming, Geo-processing with ModelBuilder and its association with Python scripting in ArcGIS, Integration of Python scripting into GIS software (ArcGIS, QGIS and GRASS), Developing Python add-ins/plug-ins in GIS software (ArcGIS and QGIS).
An introductory course that describes Open Source software for both desktop and internet GIS applications. Students will learn the concepts of Open Source software, and the leading desktop and web mapping Open Source software packages.
Introduction to FOSS GIS, Open data standards and SDI, Introduction to Open Source Internet GIS & Mapping, Web Mapping and Applications
Application of FOSS for a given application, Web GIS workshop, Design and implement a Web GIS application (project)
This is the part II of the research project. In this course, the students are exposed to the basic research knowledge and skills in producing a research thesis including the planning and conducting data collection, data processing and analysis to address the project aims and objectives and making conclusions. Finally, formulating a scientific paper based on the research project and presenting it to the audience. This research project must be carried out in individual basis.
Workshops, Research work, Thesis writing, Scientific paper writing, Submission of the seminar paper, Submission of the thesis, Seminar paper presentation, Thesis presentation.
The training is designed to provide the students the necessary exposure and opportunity to build up the skill and the confident to work in the industry. The respective specialized students are sent to various selected training institutions related to their specialized field of study for a period of a whole semester. Additionally student must attend two workshops on Industrial training expectations and Effective CV writing & interview facing. Finally, students must produce a report containing the overview of the institution, site operational overview, job specifications and nature of the work, learning experiences and recommendations. The industrial training is jointly handled by the Industrial Training Unit (ITU) of the faculty of Geomatics and National Apprentice and Industrial training Authority of Sri Lanka (NAITA).
Workshops, Implant industrial training, Report writing, Presentation& Viva