The Julia Programming Language Courses

Time Series Modeling via JuMP - Optimization for SARIMA, Score Driven, and State Space Models

Explore JuMP's optimization capabilities for time series modeling, enhancing SARIMA, Score Driven, and State Space Models with improved performance over traditional methods.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

SpineOpt.jl - A Highly Adaptable Modelling Framework for Multi-Energy Systems

Flexible energy system modelling framework for operational and planning studies, featuring adaptable structures, uncertainty representation, and model decomposition for complex multi-energy systems.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Solving Matching Problems in Practical Applications Using JuMP

Optimize supply chain matching with JuMP: Efficiently model connections in transportation networks, balancing idle times, delays, and resource allocation for improved performance and robustness.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Recent Advances in Optimization Solvers within JuliaSmoothOptimizers

Explore cutting-edge nonlinear optimization solvers in JuliaSmoothOptimizers. Learn about new packages, performance enhancements, and flexible implementations for large-scale problems using high-level linear algebra and automatic differentiation.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Recent Advances in EAGO.jl and its Use With JuMP.jl

Explore EAGO.jl, an open-source global optimizer for MINLPs in Julia, and its integration with JuMP for enhanced accessibility and capabilities in solving complex optimization problems.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

The New DisjunctiveProgramming.jl - Modeling Generalized Disjunctive Programs

Explore the enhanced DisjunctiveProgramming.jl for modeling Generalized Disjunctive Programs, featuring improved performance, expanded constraint support, and compatibility with JuMP and InfiniteOpt.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Differentiating Parametric JuMP Models in Julia

Explore differentiating parametric JuMP models, combining DiffOpt and ParametricOptInterface for efficient optimization and parameter sensitivity analysis in Julia.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Bridging Machine Learning and Optimization with JuMP

Accelerating optimization with ML approximations using JuMP. Learn to enhance efficiency in decision-making by exploiting similarities in parametric problems and integrating ML models with optimization techniques.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

PiecewiseAffineApprox.jl - Automated Piecewise Affine Convex Approximations for Optimization Models

Explore piecewise affine convex approximations for optimization models using PiecewiseAffineApprox.jl, featuring flexible options and methods for best-fit calculations in Julia.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

ModelPredictiveControl.jl - Advanced Process Control Using JuMP

Learn to design model predictive controllers using ModelPredictiveControl.jl, an open-source package for advanced process control based on JuMP, featuring nonlinear state estimation and visualization tools.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Introduction of TulipaEnergyModel.jl - Optimization Model for Energy Markets

Optimization model for electricity markets and energy sectors using graph theory and flexible time resolution, enhancing adaptability and efficiency in large-scale energy system modeling.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Graph-based Decomposition Approaches through Plasmo.jl

Explore Plasmo.jl for optimization problem structuring and decomposition, focusing on graph-based approaches and their applications in power systems.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

QSS: A Solver for Large Sparse Stiff Discontinuous Systems

Explore QSS algorithms for solving large sparse stiff discontinuous systems, outperforming classic solvers in specific scenarios like switched power converter circuits.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Why I Use Julia for Quantum Computing

Explore quantum computing's hardware, algorithms, and challenges, with insights on Julia's role and potential in this emerging field.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Advancements in Peridynamics.jl for Dynamic Fracture Simulations

Explore advancements in Peridynamics.jl for dynamic fracture simulations, including improved HPC support, new API, and expanded material models. Learn through tutorials and example simulations.

• YouTube
• 25 minutes
• Self-Paced
• Free Video