This course is an introduction to numerical methods and computing in Geomechanics. Several types of practical problems will be formulated and solved by numerical methods and implemented in computer programs. The areas of application will include seepage, consolidation, stress distribution, and slope stability.

Determination of loads for building structures, including seismic, wind, blast, and thermal. Complementary to material-specific design courses, this course will focus on structural system selection, and system-level design. Interactions between structural systems will also be considered.

This course provides an introduction to computational techniques that are applicable to environmental problems. The students are expected to attain hands-on experience with numerical and statistical programming tools and learn how to perform a series of analysis and visualization tasks. Moreover, cloud-based and massively parallel technologies will be introduced as well as fundamental computational concepts and abstractions.

Concepts include infrastructure used for drinking water and sanitation provision in urban and rural areas in developing countries and the fundamentals of the health-related impacts of water and sanitation including waterborne pathogens, their transmission routes, and prevention, control, and treatment measures. Students will gain insight into considerations of sustainability, reliability, and the non-health impacts of water and sanitation services.

Not available at this time

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.

Microbiological and biochemical properties of microorganisms important in environmental engineering practice. General fundamentals of microbiology and application to drinking water treatment and distribution, water pollution control, and natural systems.

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.