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Implementing Geographic Information Systems in Asset Management Agencies

  • certificateThis course is part of the Geographic Information Systems for Asset Management Certificate Program

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    Dates and registration coming soon

    Coming Soon: Available on-demand starting January 25, 2021

    Purpose & Background

    The flow, process, and management of information of our infrastructure networks is, in essence, the backbone on which decisions on the management and upkeep of our water mains, roadways, and power lines are made. The implementation of a streamlined spatial asset management application requires special attention, planning, and knowledge in order to preserve and improve this flow of information. Practitioners taking this course will learn from applications implemented within the asset management industry, through programs implemented by the Federal Highway Administration, Federal Geographic Data Committee, and other state and local organizations. Learning from best principles in the industry will assist public and private agency engineers make the best suited decisions for the implementation of GIS applications within their specific infrastructure asset management network.

    Instructor

    Alfredo Cely, P.E., MSEM, M.ASCE

    Course Benefits

    • Become familiar with the steps and methodologies used to implement data collection programs that leverage GIS resources within asset management agencies.  
    • Carry out a refinement of asset data through spatial data analysis operations. 
    • Understand key concepts and processes that are used to efficiently share analyzed spatial asset management data within the organization and with the public through case studies.  

    Learning Outcomes

    • Identify who, why, and what type of asset information is needed to develop data-driven decisions within asset management agencies.
    • Employ GIS applications to improve asset management operations within two critical decision-making subjects.
    • Identify the three main data elements within the Model Inventory of Roadway Elements, which can be used to develop Asset Data Models for other applications.
    • Use conceptual hourly production costs to estimate the cost of a data collection project.
    • Use four steps to develop a quantile classification of geographic asset data.
    • Identify at least one challenge in simple boolean overlays and develop an analysis strategy to overcome it.
    • Describe at least three methods for integrating GIS and engineering design applications to improve the efficiency and quality of engineering design projects.
    • Assign roles and responsibilities based on asset data analysis completed through GIS applications.
    • Select one of the four attribute measurement scales that can best display a specific asset management dataset.
    • List one benefit for using centralized data repositories to improve the internal distribution of GIS asset management data.
    • Use at least three benefits of metadata for sharing information with the public that facilitate the management of GIS asset data.
    • Using a basic workflow framework, develop an application specific coordination algorithm between GIS and Enterprise Asset Management systems.

    Who Should Attend?

    • Public agency engineers  
    • Public agency planners
    • Consultant engineers  
    • A/E contractors
    • GIS analysts and project managers

    Course Outline

    Credits

    2.4 CEUs / 24 PDHs

    Pricing

    Early Bird Rate: Member $1395 | Non-Member $1695
    Regular Rate: Member $1695 | Non-Member $1995


  • Benefits of the Guided Online Course

    • Highly interactive
    • Instructor-led programs
    • Video lectures
    • Weekly discussion board topics
    • Interactive exercises and case studies
    • Modules to complete weekly, at the time and pace that is most convenient for you
    • Mobile-friendly
  • Course Details

    Course Duration: 12 weeks
    Expected sitting time per week: Up to 3 hours
    Total video lecture content: 18 hours
    Total interactive exercises: 3 hours
    CEUs: 2.4

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