Engineering Data Governance for Sustainable Strategy

Sun, 12 Jul 2026 00:00:00 +0000

A graduate seminar on how construction data becomes trustworthy, traceable evidence for sustainability and procurement decisions.

Overview

Engineering organizations generate enormous volumes of data — BIM models, cost estimates, carbon inventories, supplier records — but this data rarely arrives at decision-makers in a structured, queryable, or auditable form. This course examines methods and practice in engineering data governance, focusing on how construction data can be structured, integrated, and queried to support sustainable strategy and procurement decisions.

Through case studies, weekly hands-on exercises, and a capstone integration project, students build the full governance pipeline — from raw data inventory to decision-ready evidence.

What You’ll Learn

Semantic Bridging

Connecting BIM models with cost-estimation and procurement documents

Embodied Carbon Databases

Applying carbon inventories to real design and procurement decisions

Procurement Analysis

Structuring supplier evaluation around sustainability criteria

Sustainability Reporting

Building auditable, low-code carbon-tracking workflows

Course Format

Case Studies

Weekly case studies grounded in real construction and procurement scenarios introduce each governance challenge.

Hands-on Exercises

Students work directly with BIM exports, cost documents, and carbon data to practice structuring and querying information.

Capstone Project

A term-long integration project in which students design a data governance architecture for a sustainability strategy of their choosing.

Learning Outcomes

By the end of this course, students will be able to:

Design engineering data governance architectures that support sustainable strategy
Apply compliance-ready workflows for carbon footprint tracking
Structure supplier evaluation and selection around sustainability performance
Prepare sustainability performance reports backed by traceable data

Course Details


Credits	3
Semester	Year 116, Fall (碩一上)
Level	Graduate
Language	English
Format	Seminar + weekly exercises + capstone project

Note

This course is offered as part of the graduate curriculum at NTUT Civil Engineering, under the BuiltInsight Lab research program in semantic digital twins and data governance.

Smart Construction Flow Integration Practice

Sun, 12 Jul 2026 00:00:00 +0000

A hands-on graduate practicum in delivering the right engineering information, to the right stakeholder, at the right time.

Overview

Digital transformation in engineering organizations fails most often not from a lack of data, but from a lack of flow — information sits in the wrong format, reaches the wrong person, or arrives too late to matter. This course equips students to deliver engineering information to appropriate stakeholders in a suitable format and timely manner through three progressive themes: information architecture, digital twin planning, and low-code automation.

The three themes build on one another like a foundation, a structure, and a data pipeline: students first establish governance theory and standards, then design digital twin deployments on top of that foundation, and finally automate the flow between them.

What You’ll Learn

Information Architecture

Data governance theory, international standards, and applied technologies

Digital Twin Deployment

Planning digital twins for real construction and facility contexts

Low-Code Automation

Building executable workflows that move data without manual rework

Course Format

Foundation — Information Architecture

Establish the theory, standards, and applied technologies behind engineering data governance.

Structure — Digital Twin Planning

Design digital twin deployments for real or simulated construction and facility scenarios.

Pipeline — Low-Code Automation

Build executable, low-code workflows that connect the architecture and the twin into a working system.

Capstone — Integrated Solution

Propose a complete smart construction flow integration solution combining all three themes for a project of your choosing.

Learning Outcomes

By the end of this course, students will be able to:

Apply data governance theory and international standards to engineering information architecture
Plan digital twin deployments appropriate to a given construction or facility context
Design and build executable low-code automation workflows
Propose an integrated smart construction solution that supports digital transformation in engineering organizations

Course Details


Credits	3
Semester	Year 116, Spring (碩一下)
Level	Graduate
Language	English
Format	Studio-style practicum + capstone integration project

Note

This course is offered as part of the graduate curriculum at NTUT Civil Engineering, under the BuiltInsight Lab research program in semantic digital twins and automation.

Course |

Engineering Data Governance for Sustainable Strategy

Overview

What You’ll Learn

Course Format

Case Studies

Hands-on Exercises

Capstone Project

Learning Outcomes

Course Details

Smart Construction Flow Integration Practice

Overview

What You’ll Learn

Course Format

Foundation — Information Architecture

Structure — Digital Twin Planning

Pipeline — Low-Code Automation

Capstone — Integrated Solution

Learning Outcomes

Course Details