Civil and Environmental Engineering
A full list of all courses offered by the CEE Department, including detailed descriptions and prerequisite information, can be found on the PSU Bulletin.
For elective planning, CEE provides a list of course descriptions for CEE technical electives and graduate courses for the next academic quarter. These are published prior to the official opening of the registration period and subject to change.
|Environmental / Water Resources||CE 4/588: Air Quality||An overview of urban air quality issues facing cities in the US and globally. Examine effects of air pollution on public health and environment, as well as technologies and regulatory practices. Review pollution measurement and modeling techniques||Expected preparation: CE 371; Graduate Standing|
|Environmental / Water Resources||CE 5/666: Environmental Data Analysis||Application of probabilistic and statistical models to the description of environmental data with a focus on hydrology and water quality. Graphical and quantitative techniques of exploratory data analysis, selection and fitting of appropriate probability distributions, simple and multiple and multivariate regression and their applications to analysis and modeling, and detection of changes and trends in environmental time series. This is the same course as ESM 566 and may be taken only once for credit.||Graduate Standing and STAT 243 and STAT 244 or STAT 460|
|Environmental / Water Resources||
CE 4/587: Aquatic Chemistry
|Aqueous chemistry in natural water systems: simple-to-complex acid/base chemistry; titration curves; buffer strength; acid/base chemistry of carbon dioxide in open and closed systems; alkalinity as system variable (blood); mineral dissolution/precipitation (metal carbonates); redox chemistry: pe-pH, redox succession/organic loading/dissolved oxygen loss, nitrate reduction, iron oxide dissolution, hydrogen sulfide production, methane formation. This is the same course as Ch 587 and can be taken oly once for credit.||CH 223 with "C-" or better or Graduate Standing|
|Transportation||CE 5/610: TOP: Advanced Transportation Methods & Analysis||The objective of this course is to develop a background in the application of statistical and econometric analysis techniques. The course will present model-estimation methods that are used in transportation data analysis, economic analysis, and other subject areas that deal with data analysis using common data analysis software. Methods presented in this course can be used in a wide variety of data analysis applications within civil engineering and beyond. Common data limitations related to heterogeneity, endogeneity, and censoring will also be introduced, as well as the estimation procedures to address these limitations. This course will emphasize model estimation, application, and interpretation using a variety of real-world datasets, but underlying estimation theories will be discussed to ensure methods are properly applied and understood.||Instructor Permission or Graduate Standing|
|Transportation||CE 5/610: TOP: Transportation Network Analysis||Basics of network modeling and optimization, minimum cost flows, shortest path algorithms, principles of traffic assignment (user equilibrium, system optimal, elastic demand user equilibrium, stochastic user equilibrium), efficient algorithms for different variants of traffic assignment.||CE 463 or Graduate Standing|
|Structural||CE 4/532: Structural Steel Design||Design of components of steel structures based on allowable strength design and load and resistance factor design methods.||CE 321 and CE 325 or Graduate Standing|
|Structural||CE 4/535: Design of Reinforced Concrete Structures||Development and splicing of reinforcement; design of long columns, retaining walls, footings, and slabs with reference to current codes; lateral loads; laboratory demonstration of beam and column behavior.||CE 434 or Graduate Standing|
|Structural||CE 5/618: Prestressed Concrete Design||Analysis and design of components of prestressed concrete structures with reference to current codes.||CE 435 or Graduate Standing|
|Structural||CE 5/610: TOP: Machine Learning Methods in CE||
Introduction to machine learning (ML) pipelines - data collection, visualization and cleaning, model training and tuning; Fundamentals of supervised and unsupervised learning; Common ML models - linear and logistic regression, SVM, decision trees, ANN, and K-means; Practical tools - scikit-learn, Keras, and TensorFlow.
|Geotechnical||CE 4/543: Introduction To Seismology And Site Evaluation||Earthquakes and exploration seismology, the origin and occurrence of earthquakes, nature and propagation of seismic waves in the earth, earthquakes as a hazard to life and property. Uses of reflection and refraction exploration seismology, borehole velocity measurements, seismic remote sensing, and direct measurement techniques. Earthquake hazard assessment including liquefaction, ground failure, and site amplification. Techniques for evaluating the susceptibility, potential, and severity of the hazards and other science and engineering applications. This course is the same as G 475/575; course may be taken only once for credit.||CE 341 or Graduate Standing|
|Geotechnical||CE 5/610: TOP: Theo & Comp Geomechanics||Methods of capturing fundamental soil behavior through elastic, elastic-perfectly plastic, and elastic-plastic constitutive models; methods for numerical implementation of soil constitutive models; use of various constitutive models for geotechnical analysis and design.||CE 341 or Graduate Standing|