70 Part-time Short courses in Mathematics

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 Topics in Machine Learning and Optimization (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.

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 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.

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

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.

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

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 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 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.

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.

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. 

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 Linear Algebra for Data Science in R course at Data Camp is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

This Mathematical Thinking In Schools module at The Open University UK  is designed to help you develop your knowledge and understanding of the teaching of mathematics. It is suitable for any Key Stage, and will broaden your ideas about how people learn and use mathematics.

UCL's Introduction To Meta-Analysis (Online, self paced) course provides an overview of meta-analysis from a statistician's point of view and is delivered by UCL's Centre for Applied Statistics Courses (CASC), part of the UCL Great Ormond Street Institute of Child Health (ICH).