Smart Sustainable Infrastructure 

Spring Semesters

M/W 2:30 - 3:45pm

Students learn to leverage technologies and data during the design, construction, and operation of infrastructure systems to better meet societal needs. The course begins with why smart sustainable infrastructure is needed and outlines both concepts and barriers for a more sustainable future. Students then design their own process to engage infrastructure stakeholders (local officials, planners, community groups, and the public) and explore cutting-edge technologies for design and construction. Students learn basic data science techniques and practice with large, real-world existing infrastructure data. The course also offers students an opportunity to explore a specific topic related to smart sustainable infrastructure more deeply through an individual project.

Transformative Infrastructure Projects

Spring Semesters

T/Th 3:30 - 4:45pm

The course uses problem-based case study learning to teach students how to plan, design, finance, and construct transformative infrastructure projects—those that meet traditional performance measures while also having positive effects on communities and the environment. Students explore the complex decision-making behind these projects, including how to engage public and private stakeholders, creatively leverage multiple funding streams, frame risk and uncertainty based on stakeholder interests, and collaborate across disciplinary and perceptual boundaries. The projects discussed in the course address the technical, financial, social, political, behavioral, and other challenges students face in their professional careers. The course is cross-listed in engineering and planning, and students are expected to work collaboratively across disciplines.

Estimating, Production, and Cost Engineering

Fall Semesters

M/W 4 - 5:15pm

The course is designed for you to develop an understanding of the estimating process from the initial conceptual design phase of a project through to the preparation of the final bid estimate, as well as the bid itself.

Tripp Shealy • Department of Civil and Environmental Engineering • Virginia Tech