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Advanced Infrastructure Asset Management Bootcamp

Infrastructure asset management is a concept, a framework and a tool for making cost effective decision about investments in the maintenance, renewal and rebuilding of our physical infrastructure. The requirement for state departments of transportation to develop transportation asset management plans has focused additional attention on this area.

A series of modules have been developed for students and practitioners to gain in-depth knowledge in particular areas of asset management. While the modules focus on transportation assets, examples are also drawn from other infrastructure assets.

 

Each six-hour module includes an overview of the larger context, basic theory, examples and exercise. The modules are taught by internationally renowned experts from universities in the United State and Chile. 

 

The modules are offered between June 11 and June 21. Each module can be completed individually or in any combination. The topics are:

 

  • Economics, asset valuation and finance (June 11-12)

Making cost effective decisions is the foundation of infrastructure asset management. This course reviews basic engineering economics and connects to decisions to benefits and costs. The course reviews methods of asset valuation and the role of financing in decision making.

  • Performance and level of service (June 12-13)

 

Performance measures are used in asset management to set expectation, benchmark progress and engage stakeholders. This course introduces the concepts and then connects these concepts to measures, laws, policies and regulations and the tools for decision making.

  • Deterioration modeling (June 13-14)

 

Understanding how both facilities and networks deteriorate is critical to being able to allocate budgets, select project, schedule maintenance and improvements and plan for rehabilitation. This course presents the fundamental concepts and explores how to select the right model for the right application and determine if a model is the “right model.”

  • Risk analysis and reliability  (June 14-15)

 

Understanding infrastructure failure is an important part of asset management.  The theoretical foundations for predicting time to failure are based on reliability theory. This course builds the foundation for understanding reliability theory, introduces the theory and applies the theory to infrastructure facilities and systems.

  • Optimization (June 18-19)

Optimization plays an important role in infrastructure decision making and asset management.  Optimization provides insights into the tradeoffs among different performance measures, and quantifies the costs and benefits of different decisions. This course covers the process for optimizing decisions as well as interpreting the results of an optimization.

  • Sensors and instrumentation (June 19-20)

From monitoring to condition assessment, sensors and instrumentation provide important data for asset management. This course provides an introduction to sensors and instrumentation.

  • Data Science (June 20-21)

Advances in technology have allowed us to collect massive amounts of data. A data scientist is a person who has the skills, knowledge, and ability to extract actionable knowledge from the data for the good of society, advancement of science and technology. This module will examine the central question of "what is BIG DATA?",  and how can infrastructure engineers, statisticians, and other professionals employ tools and techniques of data science.? This module will help you develop a deeper understanding of the various phases of Big Data and major aspects of data science for engineering decision making.

All classes will be held in Room 350 of DuPont Hall.

Pre-Requisites

“The joy of discovery is certainly the liveliest that the mind of man can ever feel”

All participants must:

  • Hold a bachelor’s degree in Engineering or related field,

  • Have completed a graduate-level course in Infrastructure Management, or Civil Infrastructure Systems, or Pavement Management,  and

  • Have had basic undergraduate courses in Engineering Economics and Statistics.

 

Each student is expected to be familiar with the contents of the International Infrastructure Management Manual.   A primer on engineering economics and statistics will also be provided for review prior to attending the class.

Course Schedule

Date
Time
Tentative Topic*

June 11   9 am – noon   Introduction – Sue McNeil

  Day1     1 pm – 3 pm   Introduction and Project Discussion - Sue McNeil

                3 pm – 6 pm   Economics and Finance (asset valuation) - Sue McNeil

June 12   9 am – noon   Economics and Finance (asset valuation) - Sue McNeil

  Day2     1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Performance - Adjo Amekudzi Kennedy

June 13   9 am – noon   Performance - Adjo Amekudzi Kennedy

  Day3     1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Deterioration Modeling - Alondra Chamorro

June 14   9 am – noon   Deterioration Modeling - Alondra Chamorro

  Day4     1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Risk Analysis and Reliability – Lu Gao

June 15   9 am – noon   Risk Analysis and Reliability – Lu Gao

  Day5     1 pm – 3 pm   Project Proposal Presentations

                3 pm – 6 pm  Workshop followed by AISIM reception

 

June 16   9 am – 6 pm  AISIM 14

  Day6  

June 18   9 am – noon   Special Topics

  Day7     1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Optimization – Sam Labi

June 19   9 am – noon   Optimization – Sam Labi

  Day8     1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Sensors and Instrumentation - David Lee

June 20   9 am – noon   Sensors and Instrumentation - David Lee

  Day9     1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Data Science

June 21   9 am – noon   Data Science

  Day10   1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Research Methods - Sue McNeil

June 22   9 am – noon   Research Methods - Sue McNeil

  Day11   1 pm – 3 pm   Project Work Session

                3 pm – 6 pm   Project Presentations

* The sequence and the theme of the topics are subject to change depending on the time availability of the instructors.

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