Chemical equilibrium principles of acids-bases, dissolution-precipitation, oxidation-reduction, and complexation applied to understanding the chemistry of surface waters, groundwaters, and water and wastewater treatment.

This Unoccupied Aerial Systems (UAS) capstone course will provide the essential aeronautical, business, legal knowledge and skills to achieve a successful foundation in UAS industry. Students that complete this application course will be prepared for successful careers as Remote Pilots in Command (PICs), observers, payload operators, and/or operational managers of governmental and private sector UAS applications.

Principles of engineering seismology, including analysis and design of structures to resist earthquake motions. Prerequisite: CE-ENGIN 541.

Geotechnical analysis and design related to shallow and deep foundations. Topics include: site investigations, bearing capacity theory, analysis and design of shallow spread footings, isolated pads and mat foundations; total stress and effective stress design of drilled shaft and driven pile foundations. Emphasis on the presentation of designs in a formal geotechnical report. Pre Req: CE-ENGIN 620

Experimental investigation of the fundamental aspects of soil behavior including classification, index and engineering properties. Emphasizes experimental determination of the consolidation and stress-strain-strength characteristics of soils for design. Experiments include: classification and basic index tests, hydraulic conductivity, consolidation, triaxial tests and direct simple shear.

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.

An introduction to the analysis and design of offshore structures with a strong emphasis on structures for renewable energy applications, especially offshore wind energy. Environmental condition modeling, loads analysis and design standards are covered as well.

This course will introduce theory and methods for assessing the implications and risks posed by climate change to water resources management. 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. The methods will be illustrated and implemented for example water resources systems drawing from practice.

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.

This course provides an introduction to computational techniques that are applicable (but not exclusive) 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.