- Home
- Programmes
- Mathematics
94 Short courses in Mathematics

Fine-Tuning of Foundation Models via Low-Rank Adaptation and Beyond (Internship)
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).

Pollux - Autoregressive Video Generation as a World Model (Internship)
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.

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

Integrated Silicon Photonics (Internship)
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.

Mathematics
Oxford Summer Courses – Mathematics introduces students to how mathematical thinking explains patterns, logic, and problem-solving. Explore key mathematical ideas through discussion-led learning in small groups while studying Mathematics in Oxford.

Theoretical and Numerical Study on Complex Materials (Internship)
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.

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

Causal and Fair Machine Learning (Internship)
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.

Scalable Bayesian Inference for Structural Equation Models (Internship)
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.

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

Mathematics of Generative AI for Protein Design (Internship)
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.

Efficient Quantization of Large Language Models (Internship)
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.

Next Generation 3d Understanding (Internship)
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.

Mathematics for Machine Learning
The Mathematics for Machine Learning course from UCL Summer School seeks to offer you a grounding in the language of modern machine learning, with a focus on topics in linear algebra, differential calculus, probability and statistics.

Quantitative Finance - Mathematics in Investment Banking
The Quantitative Finance - Mathematics in Investment Banking course from UCL Summer School focuses on the mathematical and computational aspects of derivative pricing, sitting at the intersection of mathematics, computing, finance and economics.

Mathematics for Economics
The Mathematics for Economics course from UCL Summer School aims to give you the mathematical background you need to study economics more effectively and with greater confidence.

Logic as a Tool for Modelling
The Logic as a Tool for Modelling course from Vrije Universiteit Amsterdam will introduce you to classical logic and the different systems of reasoning that arise as variations.
Linear Algebra for Data Science in R
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.
Mathematics for Machine Learning - Linear Algebra
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.
Mathematics for Machine Learning - Multivariate Calculus
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.