Computational Acoustics using Python/MATLAB – Training Services

Computational Acoustics using Python/MATLAB – Training Services provides training on modeling, simulating, and analyzing acoustic phenomena using computational methods. The course covers fundamentals of sound waves, wave propagation, reflection, diffraction, and resonance, with practical implementation in Python and MATLAB. Participants will learn numerical techniques such as finite difference, finite element, and boundary element methods to solve acoustic wave equations in different media and geometries. Emphasis is placed on simulating sound fields, pressure distributions, and acoustic interactions, as well as visualizing wave behavior and spectral characteristics. Case studies highlight applications in room acoustics, noise control, ultrasonic testing, and audio engineering. Hands-on sessions provide practical experience in coding, analyzing results, and interpreting complex acoustic systems. By the end, participants will be proficient in computational modeling and simulation of acoustic phenomena.