88 Short courses in Mathematics

In this Causal and Fair Machine Learning (Internship) project at King Abdullah University of Science and Technology (KAUST) students will focus on how to make the current machine learning algorithms be fair. 

This Scalable Bayesian Inference for Structural Equation Models (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to equip latent structural equation models with a powerful and highly efficient Bayesian inference engine called INLA.

The Efficient Quantization of Large Language Models (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on breaking down the problem into individual layer-wise sub-problems, and minimizing per-layer error, measured via various metrics.

This Mathematics of Generative AI for Protein Design (Internship) project from King Abdullah University of Science and Technology (KAUST) will build on existing tools (such as RFDiffusion) to generate nanobody (mini-antibody)  proteins, that recognize biomarkers or pathogens. 

The students of this Integrated Silicon Photonics (Internship) project from King Abdullah University of Science and Technology (KAUST) will have the opportunity to learn the latest device design and fabrication of the integrated silicon photonics chips, and explore the applications based on their own interests.

The Pollux - Autoregressive Video Generation as a World Model (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to build a video generation model with three key advancements.

The students of the Theoretical and Numerical Study on Complex Materials (Internship) project from King Abdullah University of Science and Technology (KAUST) are required to perform theoretical and numerical studies on wave propagation in artificial structures with complex structures.

The Machine Learning Techniques for Divergence-free Field Reconstruction (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

This Fine-Tuning of Foundation Models via Low-Rank Adaptation and Beyond (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

The Topics in Machine Learning and Optimization (Internship) project is offered at King Abdullah University of Science and Technology (KAUST)

The Machine Learning for Biological and Medical Imaging (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

The Next Generation 3d Understanding (Internship) project at King Abdullah University of Science and Technology (KAUST) covers a broad range of critical applications such as autonomous driving, augmented reality, robotics, medical imaging, and drug discover rely on accurate representation of the three-dimensional data.

As a students of the Engineering, Computer and Mathematical Sciences course from Auckland University of Technology you’ll meet the subject requirements of your home institution, while expanding your educational, personal, and career aspirations.

In this Mathematics for Machine Learning - Linear Algebra course offered by Coursera in partnership with Imperial College London, they look at what linear algebra is and how it relates to vectors and matrices.  

This Mathematics for Machine Learning - Multivariate Calculus course offered by Coursera in partnership with Imperial College London offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. 

This Computational Thinking for Problem Solving course offered by Coursera in partnership with University of Pennsylvania will introduce you to people from diverse professions who use computational thinking to solve problems.

What do collapsed buildings, infected hospital patients, and crashed airplanes have in common? If you know the causes of these events and conditions, they can all be prevented. The Forensic Engineering - Learning from Failures programme is offered by the Delft University of Technology (TU Delft).  

The Pre-University Calculus course from Delft University of Technology (TU Delft)  will prepare you for the Introductory Calculus courses by revising four important mathematical subjects that are assumed to be mastered by beginning Bachelor students: functions, equations, differentiation and integration. After this course you will be well prepared to start your university calculus course.

With the Elementary Statistics course of Boston University you learn basic concepts of estimation and tests of hypotheses, ideas from probability; one-, two-, and multiple-sample problems. 

The Numerical Methods in Physics course at the University of Copenhagen is a hands-on introduction to the numerical and computational techniques used in modern physics.