The Ukraine project is currently in progress, and as a result some courses are actively being developed, while others are still in the planning stages. Below is a summary of the intended courses to be delivered, with detail where it is available at this time.
UKR01: Introduction to GIS for SDI
This course is an overview of Geographic Information Systems (GIS). In this course, we look at the various technologies that make Spatial Data Infrastructures possible, including vector and raster based data sources, map projections, cartography and geodesy. We discuss how data are acquired and processed in GIS, and the use of GIS in the real world through an examination of a number of case studies.
UKR02: Database Management Systems for SDI
This course is an introduction to the structure and use of geodatabases. A foundation of general database theory is presented, along with instruction and practical exercises relating to Esri's geodatabase structure. Students will be introduced to ArcSDE and the use of versioning to control multi-user access to large spatial databases. SQL Server will be used as the enterprise database for this course, but students will also explore the personal geodatabase, coverage and shapefile structures.
UKR03: Spatial Cadastral Information Systems for SDI
This course focuses on managing the spatial component of land cadastral information systems. In the course, the term cadastre will be used to describe the core land administration functions of land registration, cadastral surveying and mapping, fiscal, legal and multi-purpose cadastres. Students will learn about parcel-based land information systems as well as the information and communication technologies associated with creating, maintaining and accessing the information and data in a cadastre database. The administration functions of registrating land rights and topics related to cadastral law will be not discussed in detail; however a process of valuation/land taxation by using GIS tools will be studied.
UKR04: GIS Project Management for SDI
This course teaches strategies for successful GIS management and implementation. It will examine GIS from small-scale project-based GIS initiatives through to large-scale enterprise GIS implementations. The consistent methodology of systematic user needs assessment, requirements specification, database design, application development, implementation, and operation and maintenance is carried through all levels of GIS implementation. Students will develop skills in GIS project planning, design, management and documentation. All students will improve their ability to independently acquire, evaluate, and implement new GIS-based skills and understanding and to put these into a context of effective GIS use.
UKR05: Spatial Modeling and Applications for SDI
One of the most exciting areas of GIS is the display and distribution of geographic information via the Internet. This course examines the impact that the Internet has had on GIS and the directions in which Internet GIS is going. Course topics include the different ways geographical information can be displayed on the Internet, including Internet mapping systems such as Esri's ArcGIS Online, ArcGIS Server and Google Maps, creating GIS-like web applications, producing animations of geographical data, designing web sites; using XML-based languages to transfer and display geographical data and customizing Internet mapping sites with APIs. All of these techniques are taught in the context of web programming techniques and languages, including HTML, XML, GML, KML, JSON and JavaScript. By the end of this course, students will be expected to be able to build and customize web-mapping sites of moderate complexity that incorporate the techniques discussed in the lectures.
UKR06: Web GIS and Geoportals for SDI
This course reviews a range of spatial data analysis and modeling techniques. Students will gain hands-on experience in applying these techniques using GIS software. Students will be introduced to a general framework for spatial modeling using ModelBuilder in ArcGIS. This framework can be applied for both vector and raster datasets. Students will become familiar with the use of network modeling in GIS, with examples from transportation and utilities. The workflow to create these types of networks from vector datasets will be covered, and specific analysis scenarios will be reviewed for both types of networks. Different approaches to suitability modeling will be reviewed, including the use of Boolean and scoring methods. The concept of suitability modeling will be expanded by looking at cost surfaces as input into least-cost path and corridor modeling. Terrain models will be reviewed, including both TIN and DEM, as well as widely used visualization and analysis techniques applied to terrain datasets. Finally, spatial interpolation and spatial regression techniques will be covered to examine the use and interpretation of sampled spatial data.