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Master practical engineering modeling using ModelingToolkit.jl and DifferentialEquations.jl for solving complex ODEs and DAEs, with hands-on demonstrations of symbolic math programming techniques.
Discover advanced ahead-of-time compilation techniques in Julia, featuring the new 'juliac' compiler driver and binary trimming for optimized code deployment.
Master engineering problem-solving in Julia through symbolic mathematics, component modeling, and integrated analysis techniques, featuring a practical active suspension system demonstration.
Master discrete-time system modeling and state machine implementation using JuliaSim's ModelingToolkit and StateMachines.jl for efficient hybrid system simulations and control engineering applications.
Dive into advanced acausal modeling techniques using ModelingToolkit v9, featuring parameter types, units, clocks, and symbolic numeric systems for enhanced scientific computing and simulation.
Master interactive data visualization using Dash.jl through hands-on flight traffic app development. Learn dataset preparation, map integration, and template customization for creating dynamic visualizations on JuliaHub.
Discover how manufacturing defects impact battery performance and learn strategies for quality control using JuliaSim Batteries GUI, focusing on defect identification and batch classification optimization.
Discover how to implement Semgrep with Julia's Coding Guidelines to enhance code security and maintain best practices in Julia programming.
Discover how to work with Functional Mockup Units (FMUs) in JuliaSim - from simulating and generating models to creating surrogate models using the FMI standard for dynamic simulations.
Discover how to deploy trained machine learning models using Dashboards.jl, enabling network accessibility and scaling for larger deployments with practical examples and implementation tips.
Discover how to analyze massive financial datasets using Julia packages, focusing on currency conversion data and real-world finance industry implementations for efficient large-scale data processing.
Master ModelingToolkit.jl fundamentals through hands-on training, from basic equation solving to complex acausal modeling. Build and connect components for industrial applications like DC motors and mass-spring-damper systems.
Master parallel computing techniques in Julia, from SIMD and multi-threading to GPU programming, guided by Julia co-creator Prof. Alan Edelman from MIT's Julia Lab.
Learn to build and deploy language models using Flux in Julia, from initial development through API creation and server deployment for practical applications.
Discover how acausal modeling enables automatic derivation of nonlinear controllers, robustness analysis, and controller tuning through a practical chemical reaction tank system demonstration.
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