Civil & Environmental Courses
The Civil and Environmental Engineering track is made up of a minimum of four courses for 12 credit hours.
ENVENG 5600 Science, Engineering, and Public Policy (3 cr hrs)
Presents a history of the interactions between science, engineering, and public policy in the United States and in the context of global concerns (e.g. climate change, competitiveness), inquire into how various federal government, universities, & corporations conduct & fund science and engineering & explore how public sector interests & processes influence sci, engr & public policy.
ENVENG 6600 Assessment for Human Rights and Sustainability (3 cr hrs)
Foundational concepts of human rights and environmental impacts pertaining to global supply chains. Regulations and voluntary standards in engineering-intensive sectors, including infrastructure, biofuels, electronics. Case study analysis of corporate assessment practices for labor rights protection and environmental impacts.
ENVENG 5195 Engineering Design for Environmental Health (3 cr hrs)
In this course, students learn how to incorporate health information in to the engineering design process. This material complements risk assessment by focusing on the design of engineering systems. Discussion will be on balancing financial, health, performance, and other considerations. Quantitative analysis will be conducted in soil, water, air, buildings, and occupational health scenarios. Health information will be discussed including exposure, dose, and statistical analysis. The course will also cover interdisciplinary team work and communication.
CIVILEN 6194 Advanced Topics in Surveying for Smart Cities (3 cr hrs)
This course is designed to discuss advanced topics in surveying smart cities by using recent advances in sensor technologies. The goals of the course is to introduce tools for analysis of spatial data collected using a number of sensors in connected cities. The sensors of interest include but are not limited to GPS, imaging sensors and LIDAR and their combinations. The course will include introduction to data analytics using these sensing technologies. The semester will conclude by crowd sourcing spatial data and analysis of crowd-sourced data.