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Computer Applications of Artificial Intelligence and e-Construction

edX, Online
Length
5 weeks
Next course start
Start anytime See details
Course delivery
Self-Paced Online
Length
5 weeks
Next course start
Start anytime See details
Course delivery
Self-Paced Online
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Course description

Computer Applications of Artificial Intelligence and e-Construction

This course is the third in a sequence of interrelated courses of the current computer applications in the construction industry. The emphasis of this course is the advanced computational tools including artificial intelligence, machine learning, and natural language processing, and their applications in e-Construction.

The primary goal of this course is to:

  • cultivate students’ knowledge on the current trend of computational advancements; and
  • train students to develop intelligent e-Construction applications.

A number of carefully crafted hands-on activities targeting construction problems will help students to not only learn the fundamentals, but also master their applications in construction.

Upcoming start dates

1 start date available

Start anytime

  • Self-Paced Online
  • Online
  • English

Suitability - Who should attend?

Prerequisites:

Students interested in taking this course should have successfully completed the edX courses, Fundamentals of Building Information Modeling, and BIM for Construction or equivalents.

Outcome / Qualification etc.

What you'll learn

  • Program and develop spreadsheet applications for construction project management tasks;
  • Develop different types of machine learning algorithms to process construction data;
  • Develop natural language processing algorithms to process construction big data;
  • Exploit e-Construction applications.

Training Course Content

Week 1: Introduction to e-Construction, Spreadsheet, and VBA

  • Introduction to e-Construction
  • Spreadsheet- Formulas
  • Spreadsheet- Functions
  • Spreadsheet- Pivot Table
  • Spreadsheet- Programming and Applications Development
  • Spreadsheet Applications for Cost Estimating and Control

Week 2: Engineering Database

  • Introduction to Database
  • Database Design
    • Entity-Relationship Diagram vs. Object-Oriented Modeling
    • Normalization
  • Database Implementation in MS Access and Spreadsheet

Week 3: Programming in Python

  • Introduction to Object-Oriented Programming
  • Python Basics I - IV

Week 4: Natural Language Processing

  • Introduction to Natural Language Processing (NLP) I - IV
  • NLP for Processing Construction Specifications

Week 5: Machine Learning

  • Machine Learning I- III
  • Digital Inspection System

Course delivery details

This course is offered through Purdue University, a partner institute of EdX.

6-9 hours per week

Expenses

  • Verified Track -$750
  • Audit Track - Free
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