|Short code||Starting date||Duration||Venue||Price|
|ITC 120||29/04/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
|ITC 120||06/05/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
|ITC 120||17/06/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
|ITC 120||29/07/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
|ITC 120||19/08/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
|ITC 120||07/10/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
|ITC 120||04/11/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
|ITC 120||09/12/2019||5 Days||Sydney, London, Istanbul, Dubai||$4,500|
This course is intended for professionals who desire to include GIS as a tool in land use and resource planning efforts, and will also be beneficial to anyone with a strong desire to incorporate GIS database design and maintenance technology in a systematic and comprehensive manner. The course is directed at those who have a working knowledge of GIS; it is highly recommended that students have experience using GIS or take Introduction to Geographic Information Systems prior to undertaking this course.
Geographic Information Systems is a growing industry. Nearly all industries utilize GIS in some capacity, from environmental, agricultural and natural resource management to engineering, city planning, and public health, making a practical understanding of GIS technology crucial.
The Geographic Information Systems Professional Concentration focuses on how to analyze and model the built and natural environments in order to inform resource management and policy decisions. Whether you want to advance your career by adding GIS to your skill set, or you’re a manager looking to increase the capacity of your office by bringing GIS to your organization,
The participant will complete the program with a clear understanding of GIS technology and terminology and the training and expertise to put them to use, including:
• GIS terms, available systems (focusing on GIS), data sources and GIS policy decisions
• GIS database design philosophy and maintenance
• GIS techniques for watershed analysis
• Python programming for GIS applications
• How to manage sustainability projects using GIS applications
• GPS and Global Navigation Satellite Systems–knowing where data comes from
• Cartographic design, including choosing appropriate symbology and using scale-dependent rendering
Who Should Attend?
• GIS specialist
Introduction to Geographic Information Systems
The participant will learn about GIS terms, available systems, data sources and GIS policy decisions. This class contains lectures and experience in GIS, which leads to a working knowledge of GIS and an understanding of the planning design for which GIS is used.
Advanced GIS: Productivity, Geoprocessing, and Analysis
In this part will Increase your understanding of available tools in GIS for many types of spatial analyses, and understand how to choose the appropriate set of tools for different situations. Gain experience with a variety of geoprocessing tools in GIS, discover better work routines and learn how to improve your workflow using ModelBuilder. Review important topics such as projections and editing, and explore many overlooked but useful tools that make life easier and save time and effort, including many advanced editing tools and map topology. You will also learn how to create map books using data-driven pages and ModelBuilder effectively for streamlining analyses and creating an easily modifiable interface for spatial analysis steps that are repeated many times.
Data Acquisition and Evaluation/GPS
The participant will explore alternatives for coupling digital imagery with GPS-derived positions, and will evaluate data quality in imagery and GPS-derived positions. Skills in preparation of metadata will be cultivated throughout the course with emphasis on data quality elements. the participant will build upon project work of their choosing, concluding with hands-on building of a geographic database (geodatabase) in an industry-standard format.
GIS Database Design
Review industry-standard and emerging data design technologies for today’s natural resource and land use planning. Learn to identify poor data design characteristics, convert logical data definitions and relationships to physical data design, prepare a plan for efficient data loading and manage quality assurance. Analyze real-world examples, including green site selection, government service delivery, and sustainability projects. Discuss tabular, spatial, document, image and other types of data formats, as well as new challenges in integrating data from different sources, qualities, scales, and complexities. Examine prevailing application development methodologies, such as:
• Interpreting and documenting business requirements
• Modeling data relationships
• Database language options
• Data population
• Database administration
Participants will propose, design and populate a database of their choice using spatial and other forms of data.
Using GIS to Manage, Analyze and Promote Sustainability
In this part will identify opportunities to promote, implement and manage sustainability projects through the use of GIS. participants will review real-world case studies of GIS application in solving energy reduction mandates. participants will learn how to match GIS tools to specific sustainability challenges, including site selection, preservation efficiency evaluation, land use compatibility analysis and green marketing techniques. In addition to structured hands-on exercises, participants will be able to complete a small GIS sustainability project of their own choice.
GPS for Advanced Applications
Global Positioning Systems (GPS), or more currently, Global Navigation Satellite Systems (GNSS) are increasingly used in every aspect of field data acquisition and operations. This part is designed for professionals in science and management who seek condensed exposure to GNSS hardware, software, and techniques beyond the basic capabilities of smartphones and recreational-grade GPS. Lecture topics include accuracy/precision theory, cost functions, error sources and their mitigation, real-time and post-differential correction, and virtual reference networks. Field exercises include customizing field data collection platforms, actual field data collection, post-processing and error assessment.
We always want to improve the quality of our courses. Please select any reasons why you feel this course is inadequate (check all that apply).