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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.

Spring 2022 Engineering Mechanics E6220 section 001

Call Number 13104
Day & Time
M 7:00pm-9:30pm
116 Knox Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Ioannis Kougioumtzoglou
Method of Instruction In-Person
Course Description Review of random variables. Random process theory: stationary and ergodic processes, correlation functions and power spectra, non-stationary, non-white and non-Gaussian processes. Uncertainty quantification and simulation of environmental excitations and material/media properties, even when subject to limited/incomplete data: joint time-frequency analysis, sparse representations and compressive sampling concepts and tools. Stochastic dynamics and reliability assessment of diverse engineering systems: complex nonlinear/hysteretic behaviors and/or fractional derivative modeling. Emphasis on solution methodologies based on Monte Carlo simulation, statistical linearization, and Wiener path integral. Examples from civil, marine, mechanical and aerospace engineering.      
Web Site Vergil
Department Civil Engineering and Engineering Mechanics
Enrollment 8 students (20 max) as of 8:04AM Saturday, July 2, 2022
Subject Engineering Mechanics
Number E6220
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221ENME6220E001

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SIS update 07/02/22 08:04    web update 07/03/22 13:33