Structural Dynamics
The objective of the course is to understand the behavior of structures especially building to various dynamic loads: such as wind, earthquake, machine vibration and ambient vibration.
Computational Fluid Dynamics and Heat Transfer
Explore advanced techniques in fluid dynamics and heat transfer simulation, enhancing engineering skills for complex system analysis and design optimization.
Engineering Mathematics: Linear Algebra and ODEs, Fall 2014
Explore linear algebra and ODEs, covering numerical solutions for equation systems. Learn first and second-order equations with renowned instructor Gilbert Strang.
Engineering Mathematics
Explora matemáticas avanzadas en ingeniería mecánica, desde ODEs y sistemas dinámicos hasta transformadas de Fourier y Laplace, con aplicaciones prácticas en Matlab y análisis de sistemas no lineales.
Computational Fluid Dynamics
This course provides an introduction to Computational Fluid Dynamics (CFD) with an emphasis on the fundamental principles that govern the implementation of CFD in practical applications.
Structural Dynamics
Comprehensive exploration of structural dynamics, covering single and multi-degree freedom systems, vibration analysis, and earthquake response for various structures.
Computational Fluid Dynamics
Comprehensive exploration of computational fluid dynamics, covering mathematical foundations, discretization methods, and numerical techniques for solving fluid flow problems.
Computational Fluid Dynamics
This course looks at all the aspects theoretical, numerical, and application aspects of computational fluid dynamics. Computational fluid dynamics (CFD) has become an essential tool in the analysis and design of thermal and fluid flow systems in a wide r…
Computational Fluid Dynamics
The course deals with the numerical solution of equations governing fluid flow and would be of interest to engineers and scientists. The course deals with the basic techniques that enable the numerical solution of these equations.
Foundation of Computational Fluid Dynamics
Comprehensive exploration of computational fluid dynamics fundamentals, covering essential concepts and techniques over 8 weeks through structured modules and practical applications.
Computational Fluid Dynamics for Incompressible Flows
Explore incompressible flow dynamics through finite difference and volume methods. Master equations, boundary conditions, and numerical techniques for solving fluid dynamics problems.
QSS: A Solver for Large Sparse Stiff Discontinuous Systems
Explore a conference talk on QSS (Quantized State System), a solver designed for large sparse stiff discontinuous systems. Delve into the fundamental differences between classic methods and QSS algorithms, focusing on the concept of quantum Δ and its rol…
A Kinetic-Hydrodynamic Coupling Method for Self-Interacting Dark Matter (SIDM)
Explore a cutting-edge kinetic-hydrodynamic coupling method for Self-Interacting Dark Matter (SIDM) in this 26-minute conference talk by Sarah Schon from The Pennsylvania State University. Delve into the latest advancements in dark matter research and ga…
RayTraceHeatTransfer.jl: 2D Enclosure Radiative Heat Transfer - JuliaCon 2024
Explore radiative heat transfer in 2D enclosures using RayTraceHeatTransfer.jl. Master Monte Carlo ray tracing, Exchange Factor matrices, and the Zonal Method for efficient problem-solving in high-temperature environments and engineering applications.
Foundation of Scientific Computing
Explore the fundamentals of scientific computing through a comprehensive series of lectures, covering essential concepts and techniques for computational problem-solving in scientific research.
Optimal Control, Guidance and Estimation
Comprehensive exploration of optimal control theory, guidance systems, and estimation techniques for aerospace applications, covering LQR, dynamic programming, and Kalman filters.
Advanced Control System Design for Aerospace Vehicles
Comprehensive exploration of advanced control systems for aerospace vehicles, covering classical and modern techniques, flight dynamics, optimization, and adaptive designs for enhanced aircraft performance.
A Second Course in Differential Equations
Explore advanced topics in ordinary differential equations, including linear systems, eigenvalues, numerical methods, and Python implementations for solving complex ODEs.
Scientific Computing I
Explore scientific computing through Python, covering numerical methods, data analysis, and machine learning, with practical applications in physics and mathematics.
Euler’s Method - How to Use It
Comprehensive guide to Euler's method for approximating solutions to differential equations, covering its application, methodology, limitations, accuracy, and error analysis.
Adventures in Computing - From Punch Cards to Differential Equations
Prof Linda Petzold explores her journey in computational science, from punch cards to modern differential equations, highlighting key developments in numerical methods, stochastic simulations, and their applications in various fields.