Cornell Courses Taught
CEE 4795/5795: Sensors for the Built and Natural Environments (spring semester)
Sensors are the link between the physical world and engineering decision making. This course covers the underlying principles of sensors, information, analog-to-digital conversion, signals, noise, calibration, and experimentation.
CEE 6790: Time Series Data Analysis for Civil, Mechanical and Geophysical Applications (fall semester)
Data acquired as time series are increasingly common in age of GPS, smart phones, and wireless data transfer. This course will cover data processing tools and techniques that allow us to efficiently manipulate and better understand the data and the physical world that they sample. Course topics include Fourier transforms, convolution, filtering, data acquisition, noise, linear systems, and AutoRegressive Moving Average (ARMA) models. Topics are covered both from theoretical (continuous, analog signals) and practical (discrete-time digital signals) viewpoints. More advanced topics will emphasize the analysis of transient and non-stationary time series such as earthquake ground motions, structural or environmental response to extreme events, and other signals related to engineering and earth science disciplines.
CEE 3710: Structural Modeling and Behavior (spring semester 2015-2020)
Introduction to the structural engineering enterprise including aspects of design, loads, behavior, form, modeling, mechanics, materials, analysis, and construction/manufacturing. The video below shows testing of 14 ft-long wooden bridges designed and built by CEE 3710 students in the sprong of 2018 for materials cost of $100.
Examples of student-made presentations can be found here.