Steve Brunton Courses

Singular Value Decomposition

2 reviews

Comprehensive exploration of Singular Value Decomposition, covering mathematical foundations, applications in data processing, and implementation in MATLAB and Python for various real-world scenarios.

• YouTube
• 7 hours
• On-Demand
• Free Video

Fluid Dynamics

1 review

Explore machine learning applications in fluid dynamics, from turbulence modeling to control strategies, with a focus on data-driven approaches and advanced computational techniques.

• YouTube
• 6 hours
• On-Demand
• Free Video

Data-Driven Science and Engineering

1 review

Explora técnicas avanzadas de aprendizaje automático, sistemas dinámicos y control con ejemplos prácticos en Matlab y Python, basados en el libro "Data-Driven Science and Engineering" de Brunton y Kutz.

• YouTube
• 20 hours
• On-Demand
• Free Video

Control Bootcamp - Kalman Filter Example in Matlab

1 review

Explore Kalman Filter implementation on inverted pendulum using Matlab, covering theory and practical application in dynamical systems and control engineering.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Taylor Series and Power Series Made Easy - Review of Calculus

1 review

Comprehensive review of Taylor and Power Series with visual aids and coding examples in Python and Matlab. Covers definitions, expansions for sine and cosine, and practical implementations.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Control Theory and COVID-19

Explore exponential growth, its applications, and control theory in relation to COVID-19, covering models, sensors, and control design strategies.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Fourier Analysis

Comprehensive exploration of Fourier analysis, covering series, transforms, and applications. Includes practical implementations in MATLAB and Python for signal processing, PDEs, and image compression.

• YouTube
• 8 hours
• On-Demand
• Free Video

Linear Algebra

Comprehensive exploration of linear algebra concepts, including SVD, Fourier analysis, and compressed sensing, with practical applications and coding examples in MATLAB and Python.

• YouTube
• 19 hours
• On-Demand
• Free Video

Koopman Analysis

Explore advanced techniques in dynamical systems analysis, including Koopman theory, spectral analysis, and applications to control and chaos in various scientific domains.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Dynamical Systems

Explore advanced techniques in dynamical systems analysis, including SINDy, Koopman theory, and deep learning applications for modeling complex nonlinear systems.

• YouTube
• 6 hours
• On-Demand
• Free Video

Data-Driven Dynamical Systems with Machine Learning

Explore modern machine learning methods for modeling complex dynamical systems from data. Learn data-driven control techniques and apply them to various fields of science and engineering.

• YouTube
• 15 hours
• On-Demand
• Free Video

Reinforcement Learning

Explora el Aprendizaje por Refuerzo, desde métodos básicos hasta redes neuronales y aplicaciones en dinámica de fluidos y control, en esta serie de 3.5 horas por Steve Brunton.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Sparsity and Compression

Explore sparsity and compression techniques, from compressed sensing to robust regression, with practical applications in image processing, signal analysis, and machine learning.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Video

Intro to Data Science

Comprehensive introduction to data science and machine learning, covering key concepts, techniques, and applications. Includes hands-on examples in MATLAB and Python for practical implementation.

• YouTube
• 22 hours
• On-Demand
• Free Video

Data-Driven Control with Machine Learning

Explore machine learning techniques for data-driven control, covering system identification, model reduction, and advanced control strategies like MPC and reinforcement learning.

• YouTube
• 11 hours
• On-Demand
• Free Video