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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
This course is designed to assist practitioners in using geospatial analysis to improve processes within infrastructure asset management applications for public and private utility owners. To accomplish this objective, the course will cover the three consecutive building blocks that are required to carry out geospatial analysis operations within asset management. The first block is the development of spatial analysis frameworks. Then, based on these frameworks, practitioners can build specific geospatial analysis methods for their respective asset management industry or application. Once the framework and methods are prepared, professionals can execute spatial analysis operations within asset management. Following this three step process, practitioners ensure that the systems they are responsible for (i.e. water distribution systems, roadway networks, power grids) are maintained operations and improved upon in an efficient manner by making decisions based on actual infrastructure data.
Benefits and Learning Outcomes
Upon completion of this course, you will be able to:
- Develop spatial analysis frameworks that include primitive elements with spatial relationships to form a data infrastructure that can be used to carry out spatial analysis, processes, and statistics.
- Build geospatial analysis models with spatial and temporal relationships for use in asset management applications.
- Design enterprise information portals for use in asset management that include the development of spatial analysis frameworks and geospatial analysis models.
- Use spatial analysis operations in asset management applications that consider geometric, density, query, distance, directional, and grid operations.
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]
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
This course is now running on-demand rather than to a live schedule, making it easier to fit into your life.
If you are not currently logged into ASCE, you will be asked to login or create an ASCE account.
Course Schedule
Session 1
Primitive elements
Session 2
Spatial relationships
Session 3
Statistics and data infrastructure
Session 4
Process of spatial analysis
Session 5
Model building
Session 6
Spatio-temporal models
Session 7
GIS science and asset management
Session 8
Design and implementation of enterprise information portals
Session 9
Geometric operations
Session 10
Density and queries
Session 11
Distance operations
Session 12
Directional and grid operations
This course outline is subject to change
If you are not currently logged into ASCE, you will be asked to login or create an ASCE account.