Traffic control at intersections with an emphasis on intersection signalization; warrants that justify the installation of signals; signal sequence, timing, and phasing; pre-timed and actuated signals; traffic detection and signal controllers; computer simulation and modeling; algorithms and tools for evaluating the effectiveness of signals.

Fundamentals of traffic flow including its characteristics and their relationships; Mathematical models that describe traffic flow dynamics at multiple levels of detail; Solutions and applications of these models that capture traffic flow phenomena such as congestion and queue dissipation.

The course objectives are for students to understand mathematical and analytical tools for planning and operating sustainable freight systems that account for economic costs as well as environmental impacts. Students should be able to apply these skills to model, analyze, and design logistics systems ranging from global scale to urban deliveries.

Introduction to finite element method in engineering science. Derivation of element equations by physical, variational, and residual methods. Associated computer coding techniques and numerical methods. Applications. Prerequisites: programming ability, ordinary differential equations, basic matrix algebra. Same as M&I-ENGIN 605.

Not available at this time

Introduction to fundamental principles and concepts necessary to carry out meaningful and appropriate geographic analysis with geographic information science (GIS). Reinforcement of key issues in GIS such as geographic coordinate systems, map projections, spatial analysis, use of remotely sensed data, and visualization of spatial data. Laboratory exercises use database query, database manipulation, and spatial analysis to address problems in hydrology, water treatment, renewable energy, and transportation with an emphasis on engineering design.

Introduction to fundamental principles and concepts necessary to carry out meaningful and appropriate geographic analysis with geographic information science (GIS). Reinforcement of key issues in GIS such as geographic coordinate systems, map projections, spatial analysis, use of remotely sensed data, and visualization of spatial data. Laboratory exercises use database query, database manipulation, and spatial analysis to address problems in hydrology, water treatment, renewable energy, and transportation with an emphasis on engineering design.

Introduction to fundamental principles and concepts necessary to carry out meaningful and appropriate geographic analysis with geographic information science (GIS). Reinforcement of key issues in GIS such as geographic coordinate systems, map projections, spatial analysis, use of remotely sensed data, and visualization of spatial data. Laboratory exercises use database query, database manipulation, and spatial analysis to address problems in hydrology, water treatment, renewable energy, and transportation with an emphasis on engineering design.

This course will introduce theory and methods for assessing and managing the risks posed by climate change for engineering design. The course content will cover quantitative analysis methods for developing climate scenarios, including stochastic simulation and hydrologic modeling and decision analysis methods for selecting among adaptation options under climate change uncertainty. While the content is fundamental in nature, the methods will be illustrated and implemented primarily for example water resources systems drawing from practice.

Within the past three decades, more than 2.6 billion people have gained access to an improved water source and 2.1 billion have gained access to an improved sanitation facility. However, improved does not always mean people have safe, reliable, accessible, or equitable water and sanitation services. Waterborne diseases continue to cause an estimated 500,000 deaths each year.