CEE 6790

CEE 6790

Course information provided by the Courses of Study 2022-2023.

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.

When Offered Fall.

Permission Note Enrollment limited to: graduate students or permission of instructor.
Prerequisites/Corequisites Prerequisite: MATH 2940 or equivalent.

Comments Interested undergraduates are encouraged to contact the instructor.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 10294 CEE 6790   LEC 001

  • Instruction Mode: In Person