Quantitative Methods Courses

Hausdorff Center for Mathematics

Parametric PDEs - Numerical Methods for Forward UQ and Surrogate Modelling - Part II

Explore advanced numerical methods for uncertainty quantification in parametric PDEs, including stochastic collocation, reduced basis methods, and adaptive multilevel approaches.

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

Hausdorff Center for Mathematics

Parametric PDEs - Numerical Methods for Forward UQ and Surrogate Modelling - Part I

Explore numerical methods for uncertainty quantification in parametric PDEs, covering surrogate modeling, stochastic collocation, and adaptive multilevel approaches for efficient forward UQ.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

An Introduction to Multiscale Methods and Localised Model Reduction - Part IV

Explore advanced multiscale methods and localised model reduction for solving PDEs with coefficients varying across multiple scales using GFEM frameworks.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

Parametric PDEs - Numerical Methods for Forward UQ and Surrogate Modelling - Part III

Explore advanced adaptive multilevel approaches and a posteriori error estimation for parametric PDEs with uncertain inputs in forward uncertainty quantification.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

Multilevel Monte Carlo Methods for Random Differential Equations - Part III

Explore advanced Multilevel Monte Carlo techniques for solving random differential equations with uncertainty, covering optimization and data assimilation applications.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

Multilevel Monte Carlo Methods for Random Differential Equations - Part IV

Master Multilevel Monte Carlo techniques for random differential equations, focusing on PDE optimization under uncertainty and sequential data assimilation applications.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

Multilevel Monte Carlo Methods for Random Differential Equations - Part I

Discover multilevel Monte Carlo methods for solving random differential equations with uncertainty in model parameters and stochastic fluctuations.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

Multilevel Monte Carlo Methods for Random Differential Equations - Part II

Explore advanced Multilevel Monte Carlo techniques for solving random differential equations, covering PDE optimization under uncertainty and sequential data assimilation applications.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

An Introduction to Multiscale Methods and Localised Model Reduction - Part III

Explore advanced multiscale methods for solving PDEs with coefficients varying across multiple scales using Generalised Finite Element Methods and localised model reduction.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Hausdorff Center for Mathematics

An Introduction to Multiscale Methods and Localised Model Reduction - Part I

Explore advanced computational techniques for solving PDEs with multiscale coefficients using Generalised Finite Element Methods and localised model reduction frameworks.

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

Valerio Velardo - The Sound of AI

Formant Synthesis, Concatenative Synthesis and Statistical Methods for Text-to-Speech

Explore traditional text-to-speech methods including formant synthesis, concatenative synthesis, and HMM-based approaches that preceded neural networks in speech generation.

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

Teacher of Computing

Software Development Systems Analysis Methods and Models - S3:E1

Explore software development lifecycle models including waterfall, spiral, and agile methodologies, plus testing strategies and system analysis fundamentals.

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

NPTEL-NOC IITM

Inverse Methods in Heat Transfer

Discover advanced techniques for solving inverse heat transfer problems using regularization, Bayesian inference, and physics-informed neural networks.

• YouTube
• 1 day 6 hours 3 minutes
• Self-Paced
• Free Video

Centrum Fizyki Teoretycznej PAN

SCREAM Seminar - Symmetry, Curvature Reduction, and Equivalence Methods in Differential Geometry

Explore advanced differential geometry through Cartan and parabolic geometries, covering conformal structures, integrable systems, and applications to cosmology and quantum theory.

• YouTube
• 2 days 16 hours 39 minutes
• Self-Paced
• Free Video

Centre de recherches mathématiques - CRM

CRM CAMP in Nonlinear Analysis - Computer-Assisted Methods of Proof

Explore computer-assisted proof methods for dynamical systems and nonlinear analysis through expert presentations on chaos, bifurcations, and rigorous numerical techniques.

• YouTube
• 2 days 10 hours 41 minutes
• Self-Paced
• Free Video