
Hands-on workshop exploring STM32CubeMonitor for STM32H72x/3x MCUs. Learn to read/write RAM, access addresses, and see a demo flow. Ideal for developers seeking high-performance, feature-rich microcontrollers.

Explore STM32H72x/3x MCUs: high-performance, feature-rich, and affordable. Learn about internal memory architecture, instruction cache, performance measurement, and optimization techniques for embedded applications.

Learn to customize a TouchGFX template for STM32H7B3I-DK, focusing on using external SDRAM as frame buffer. Includes step-by-step demos for SDRAM setup, initialization, and adding dynamic widgets.

Explore center manifold theory for dynamical systems, focusing on computing and approximating center manifolds. Learn to analyze stability and dynamics near equilibrium points using Taylor series expansions and tangency conditions.

Explore gravity gradient effects on spacecraft stability, including Euler equations, pitch stability, torque equilibrium angles, and applications to the International Space Station.

Explore generating functions for canonical transformations in Hamiltonian systems. Learn about harmonic oscillator examples, near-identity transformations, and connections to quantum mechanics and gauge invariance.

Explore normal modes in mechanical systems, including oscillatory patterns, steady drift, and instability. Learn about natural frequencies, mode shapes, and their applications in analyzing system responses to forcing.

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

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

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

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

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

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

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

Learn best practices for organizing and structuring header and source files in embedded C programming, including naming conventions, templates, and specific rules for each file type.

Learn best practices for using structures in Embedded C, including naming conventions, data hiding, object orientation, and bitfields to enhance code organization and efficiency.

Learn best practices for variable usage in embedded C, covering pointers, booleans, globals, and keywords like const, static, and volatile.

Explore Windows IoT's future, recent investments, and new capabilities for intelligent edge solutions. Learn about security, optimization, and emerging technologies in this comprehensive roadmap session.

Explore Custom Neural Voice "Lite" for creating natural-sounding synthetic voices with just 5 minutes of speech data. Learn about its applications and see demos of this innovative AI technology.

Explore wireless LAN fundamentals including Wi-Fi standards, radio frequency, and service sets. Learn about signal behavior, RF bands, channels, and AP operational modes.

Learn music theory:1) Lessons 1-27 = first semester Music Theory I course2) Lessons 28-47 = second semester Music Theory II course3) Ask Dr. B About Music Theory = I answer questions from subscribers