This course provides a comprehensive insight into the analysis and design of flexible and rigid pavements, with a keen emphasis on sustainable practices. Students will explore significant design factors, engage in various analytical methods, and determine essential design input parameters. The course introduces the empirical-mechanistic pavement design approach and promotes design in adherence to the AASHTO and MEPDG guidelines. A strong focus is placed on integrating the pillars of sustainability (economic, environmental, and social) into pavement design.

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

This course it introduces the theory and applications of core concepts in machine learning from an engineering perspective. Key topics include: fundamentals of data analysis and regression, classification (support vector machines, decision trees), linear model selection and assessment, flexible functional forms, decision trees and ensemble methods, support vector machines, unsupervised learning (dimensionality reduction, clustering) and neural networks for structured data, images and sequences.

Evaluation and control of water quality in streams, lakes, and estuaries. Mathematical analyses of patterns of water movement and their relation to water quality. Total Maximum Daily Load (TMDL) allocation 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.

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.

Expands on the basic design methods of CE-ENGIN 434. Includes plate girder design, composite steel and concrete member design, overall structure considerations, and other topics both extending on previous class descriptions as well as entirely new concepts. Prerequisite: CE-ENGIN 434.

This course introduces students to applications of probability theory, statistics, and decision analysis to engineering problems. Emphasis is placed on probabilistic modeling and analysis of civil and environmental engineering problems, Bayesian statistics, risk analysis, and decision under uncertainty.