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

This course is part of the Geographic Information Systems for Asset Management Certificate Program.

Purpose and 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.

Benefits and Learning Outcomes

Upon completion of this course, you will be able to:

• 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.
• Describe at least three methods for integrating GIS and engineering design applications to improve the efficiency and quality of engineering design projects.
• 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.

Assessment of Learning Outcomes

Achievement of the learning outcomes by attendees will be assessed through (3) exams.

Who Should Attend?

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

How to Earn your CEUs/PDHs

This course is worth 2.4 CEUs/24 PDHs. To receive your certificate of completion, you will need to complete (3) exams and receive a passing score of 70% or higher.

How do I convert CEUs to PDHs?

1.0 CEU = 10 PDHs [Example: 0.1 CEU = 1 PDH]

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Course Outline

Week 1: The Need for Asset Information
Course Introduction & Week Introduction
Types of Asset Information Needed
Learning Exercise - Who Needs Asset Information?
Identification of Available Asset Information – Part I
Identification of Available Asset Information – Part II
Implementing New GIS Platforms – Part I
Implementing New GIS Platforms – Part II
Learning Exercise - Costs of a Technological Change
Conclusion

Week 2: Asset Management Subjects and GIS Implementations
Introduction
Strategy and Planning of GIS within Asset Management
Use of GIS for Asset Management Decision-Making
Learning Exercise - Capital Investment Decision-Making
Lifecycle Delivery
Application of GIS within Asset Information
Organization and People
Risk and Review of GIS Applications
Learning Exercise - Organizational Culture and Structure
Conclusion

Week 3: Review of the Model Inventory of Roadway Elements
Introduction
Model Inventory of Roadway Elements (MIRE)
MIRE Information Management Systems
Learning Exercise - The Three Main Elements of MIRE
Data Collection Technologies for Roadway Assets
Use of Automation in Data Collection
Compatibility of Collection Technologies and Roadway Asset Elements
Development of a Data Collection Method
Learning Exercise - Pairing Data Collection Methods with Asset Types
Conclusion

Week 4: Step-by-Step Development of Asset Management Inventory Projects
Introduction
Identify Asset Data to be Collected
Develop a Data Collection Framework
Learning Exercise - Key Elements to Develop Data Collection
Executing Field Data Collection Tasks
Quality Control of Field Data
Refinement of Field Data
Integration of Collected Data
Learning Exercise - Estimating the Cost of Data Collection
Conclusion
Exam: Weeks 1-4

Week 5: Refining Field Data for Analysis
Introduction
Importance of Data Quality
Tools for Quality Control and Assurance
Learning Exercise - GIS and the Quality Control of Asset Data
Classification of Data Using Quantiles
Classification of Data Using Equal Intervals
Recording and Storing Surface Data
Spatial Interpolation
Learning Exercise - Spatial Data in Asset Management
Conclusion

Week 6: Analysis of GIS Data for Planning Tasks
Introduction
Deterministic and Stochastic Processes
First and Second Order Effects
Seven Steps for Using GIS in Asset Management – Part I
Seven Steps for Using GIS in Asset Management – Part II
Types of Map Overlays
Use of Boolean Overlays
Learning Exercise - Case Study # 1
Conclusion

Week 7: Analysis of GIS Data for Design Tasks
Introduction
Benefits of Using GIS in Design - Part I
Benefits of Using GIS in Design - Part II
Learning Exercise - Institutional and Technical Best Practices
GIS and Visualization – Part I
GIS and Visualization – Part II
GIS Workflows
Integrating GIS and Engineering Design
Learning Exercise - Protection of Critical Infrastructure
Conclusion

Week 8: Analysis of GIS Data for Daily Operation Tasks
Introduction
Identifying Levels of Service using GIS
Example of Using GIS and Service Levels
Learning Exercise - Use of Service Levels in Asset Management
Defining Roles and Responsibilities
Identifying Staff Needs
Use of Local Statistics
Learning Exercise - Density Estimation and Interpolation
Uses of Density Estimate and Interpolation
Conclusion
Exam: Weeks 4-8

Week 9: Preparing GIS Data for Distribution
Introduction
Attribute Measurement Scales – Part I
Attribute Measurement Scales – Part II
Learning Exercise - Four Attribute Measurement Scales
Levels and Operations – Part I
Levels and Operations – Part II
Mapping Counts
Mapping Rates and Densities
Learning Exercise - Applications of Counts, Rates and Densities
Conclusion

Week 10: Sharing Data Within the Organization: Part 1
Introduction
Creating Internal Data Groups – Part I
Creating Internal Data Groups – Part II
Learning Exercise - Considerations for Creating Data Groups
Use of Integrated Asset Data Repositories
Models for Asset Data Repository Schemes
Intranet GIS Viewers – Part I
Intranet GIS Viewers – Part II
Learning Exercise - Benefits of Using Intranets for GIS
Conclusion

Week 11: Sharing Data Within the Organization: Part 2
Introduction
Federal Policies on GIS Data Sharing
Information Access and Privacy
Learning Exercise - Examples of Data Sharing Policies
Sharing GIS data and Metadata – Part I
Sharing GIS data and Metadata – Part II
Data Sharing Implications – Part I
Data Sharing Implications – Part II
Learning Exercise - Designing Databases for Sharing Purposes
Conclusion

Week 12: Synchronizing Enterprise Asset Data with GIS Platforms
Introduction
Adding GIS Assets to Enterprise Management Systems
Adding Enterprise Management System Elements to GIS Databases – Part I
Adding Enterprise Management System Elements to GIS Databases – Part II
Linking Elements Between GIS and EMS – Part I
Linking Elements Between GIS and EMS – Part II
Learning Exercise - Case Study # 2
Conclusion
Exam: Weeks 9-12