Teaching

Teaching Materials & Course Resources

Teaching materials related to the Green–Grey–Blue–Intelligent (GGBI) Framework and to foundational topics in water resources and environmental engineering. These resources originate from courses taught by Professor Qizhong (George) Guo, including Coastal Engineering, Green Infrastructure, Hydrology, Fluid Mechanics, and related subjects.

Course notes Lecture slides Example problems Conceptual diagrams Case-study examples

Purpose of This Section

The teaching materials collected here are meant to support students, educators, and practitioners who wish to understand and apply ideas central to the GGBI Framework, including stormwater management, hydrology and hydraulics, estuarine and coastal processes, and integrated resilience planning.

Over time, selected lecture notes, slides, example problems, figures, and conceptual diagrams may be made available, along with links to related publications and technical reports.

Courses & Thematic Modules

Green Infrastructure for Stormwater Management

Materials related to rainfall–runoff processes, GI design and performance, sponge-city concepts, and urban flood mitigation. May include lecture slides, short concept notes, and illustrative case studies.

Coastal Engineering

Notes and diagrams on waves, tides, storm surge, coastal structures, sediment transport, soft/green coastal measures, and coastal resilience, linked to the Blue and Grey domains of the GGBI Framework.

Hydrology & Hydraulics

Materials on rainfall–runoff, channel flow, open-channel hydraulics, flood routing, and connections to urban stormwater, watersheds, and estuaries.

Fluid Mechanics & Laboratory Instruction

Selected lab instructions, demonstration figures, and example calculations drawn from fluid mechanics teaching and laboratory activities.

Specific files and links can be added under each thematic area as they are prepared for sharing. The emphasis will be on clarity, conceptual understanding, and connections to the GGBI Framework.

Types of Teaching Materials

Some resources may appear in simplified form on this site, with more detailed versions available in course-specific learning systems or in the faculty website.

AI-Supported Teaching Experiments

Recent experiments with AI-assisted tools have explored ways to:

Any AI-assisted materials shared here are carefully reviewed and refined to ensure technical accuracy and clarity before being presented as teaching resources.

Related Resource Categories