Course Description
Course provides graduate students with essential knowledge on sustainability, infrastructure, sensing, sensor network, digital twin, multiscale modeling and simulation, and data analytics for decision-making to enable sustainable and smart infrastructure.
Athena Title
Smart and Sustain Infrastruct
Prerequisite
Permission of department
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Student Learning Outcomes
- Students will be able to understand the concept and the evolution history of sustainability.
- Students will be able to understand the concept of infrastructure and its implications to the human society.
- Students will be able to understand the concept of smartness and how to achieve it.
- Students will be able to understand the functionality of sensing materials.
- Students will be able to understand typical sensing algorithms.
- Students will understand how to design a sensor network and establish digital twin models.
- Students will understand how to apply AI-based data analytics for decision-making.
Topical Outline
- Concept and Evolution of Sustainability
- Types of Infrastructure
- Concept of Smartness
- Design of Functional Materials
- Preserving Infrastructures
- Infrastructure Inspection and Monitoring
- Making Timely Repairs for Durable Infrastructures
- Sensing and Sensors
- Sensor Network
- CPS and IoT
- Smart City Technologies
- Data Analytics
- Machine Learning and Deep Learning for Vibration Sensing
- Risk Analysis and Decision-Making
