CE grad students: I am offering this fall (2024) a one-credit CE697 course entitled "Dimensional analysis, scaling, and similarity: Physics, asymptotics, and statitics", and tentatively scheduled for W12:30 pm in HAMP2113. The following is a brief description (also reproduced in the attached): Dimensional analysis is a general tool for designing experiments and organizing experimental data in a physically meaningful manner, primarily in but not necessarily restricted to mechanics-oriented fields. It emphasizes the development of relationships between dimensionless groups, thus ensuring dimensional homogeneity, which can yield relationships less sensitive to changes in scale. The course reviews basic concepts such as the Buckingham-Pi theorem and the analysis of governing equations, but then also explores the related concepts of scaling and similarity. The role of asymptotic arguments is emphasized, and implications for statistical analysis of the resulting dimensionless relationship are also discussed. Much of the lecture part of the course will discuss examples of dimensional analysis of problems for which solutions are known or at least widely accepted, with the aim of providing guidance to applying dimensional analysis and scaling arguments to problems for which solutions are not available. This will be a part-lecture part-seminar course; in the seminar part of the course, students will be asked to give in-class presentation of either their own work or from the research literature where the methods of dimensional analysis are applied. Potential references are given in the attached. If there are questions regarding the course contents, please feel free to contact me. Dennis Lyn