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3.81
Spring 2026
Introduction to computational tools and approaches common in water resource engineering. Topics include: geographic information systems (GIS) for water resources; software tools applied for hydrologic and hydraulic data analysis and visualization; and use of industry-standard hydrology and hydraulic models water resource system simulation and design. Pre/Coreq: Students must have completed or currently enrolled in CE 3220.
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3.55
Spring 2026
Introduction of concepts, approaches, procedures, and codes for the design of civil structural systems with emphasis on the characterization of structural loads, structural systems and system behavior on structural systems constructed of steel and reinforced concrete. Topics to include engineering properties of materials, design and behavior of compression members, flexural members, and tension members. Prerequisite: CE3300 or equivalent.
3.44
2.67
3.38
Spring 2026
Fundamentals of transportation infrastructure design will be covered. Topics include: analysis of the characteristics of the driver, pedestrian, vehicle, and road; highway geometric design; intersection design and operations; highway drainage and drainage structures; highway pavement design. Prerequisite: CE 2010
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3.70
Spring 2026
Computer aided design applications of the fundamentals of transportation infrastructure design using real world scenarios. Application topics include: highway geometric design for highway facilities; intersection design including at-grade, roundabouts, and grade separated interchanges, and the transportation improvements associated with a new development. Co-requisite: CE 3400. Prerequisite: CE 2010, CE 2305, CE 3700
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Spring 2026
Building a concrete canoe offers hands-on experience with concrete mix designs and project management. The annual ASCE design challenge evolves each year. Students apply the engineering design process to research, design, build, test, and race a full-scale concrete canoe, contributing based on their skills and interests; might perform concrete and buoyancy calculations, or hydrodynamic flume testing. For Engineering students only.
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Spring 2026
Students will be introduced to current civil engineering challenges and emerging solutions. Research and practical case studies will be included. Participants will summarize and explore implications of introduced topics.
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3.66
Spring 2026
Students will learn how to use Building Information Modeling (BIM) to 1) support the decision-making over a project life cycle and 2) improve coordination between stakeholders throughout the design and construction stages. With this hands-on course, students will learn how to integrate all models of a project to visualize construction processes and better predict, manage, and communicate project outcomes.
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3.94
Spring 2026
This course takes a systems perspective to study and design for sustainability in the built environment at various scales (e.g., materials, buildings, cities, and regions) and for different types of systems (e.g., physical, social, information). Students from SEAS, A-School, and other majors are welcome in this course, which emphasizes interdisciplinary design collaboration and diversity of thought.
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3.83
Spring 2026
This course is an introduction to the theory, methods, and applications of risk analysis and systems engineering. The topics include research and development priorities, risk-cost-benefit analysis, emergency management, human health and safety, environmental risk, extreme events, infrastructure resilience, system interdependencies, and enterprise systems. Prerequisites: Course in Probability/Statistics; Third or fourth year standing in SEAS; Or permission of instructor.
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3.29
Spring 2026
The course emphasizes the formulation of environmental management issues as optimization problems. Simulation models will be presented and then combined with optimization algorithms. Environmental systems to be addressed include stream quality, air quality, water supply, waste management, groundwater remediation, and reservoir operations. Optimization techniques presented include linear programming, dynamic programming, and genetic algorithms.
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