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61 Short courses in Computer Sciences in Saudi Arabia

Uncovering and Addressing Bias in LLM Interactions (Internship)
The Uncovering and Addressing Bias in LLM Interactions (Internship) project from King Abdullah University of Science and Technology (KAUST) represents a concerted effort to delve deeply into the multifaceted landscape of biases inherent in interactions with LLM agents.

Nonlinear Partial Differential Models (Internship)
This Nonlinear Partial Differential Models (Internship) project from King Abdullah University of Science and Technology (KAUST) students will study some nonlinear partial differential equations models that arise in applications ranging from population dynamics, mean-field games, quantum chemistry and mechanics, medicine, quasi-geostrophic flows, and water waves.

Leveraging Non-Terrestrial Platforms (Internship)
This Leveraging Non-Terrestrial Platforms (Internship) project from King Abdullah University of Science and Technology (KAUST) aims at developing new approaches for the optimal leverage of the non-terrestrial network-on-demand.

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.

Ransomware in Industrial Control Systems (Internship)
The Ransomware in Industrial Control Systems (Internship) from King Abdullah University of Science and Technology (KAUST) project from will study effective defense-in-depth security strategies, ensure an understanding of network interdependencies, and conduct crown jewel analysis to identify potential weaknesses that could disrupt business continuity and production in the event of ransomwares.

Extension of the High-Order Entropy-stable Discontinuous Galerkin Solver to Non-Equilibrium Flows (Internship)
This Extension of the High-Order Entropy-stable Discontinuous Galerkin Solver to Non-Equilibrium Flows (Internship) project from King Abdullah University of Science and Technology (KAUST) teaches you about hypersonic flows encountered during atmospheric re-entry and high-speed aerospace operations demand robust CFD techniques.

Dynamic Malware Analysis using LLMs (Internship)
The Dynamic Malware Analysis using LLMs (Internship) project from King Abdullah University of Science and Technology (KAUST) covers the increasing complexity of malware highlights the need for advanced analysis tools, both static and dynamic, for effective reverse engineering and behavioral analysis of a given sample.

Computational Cameras (Internship)
The Computational Cameras (Internship) project from King Abdullah University of Science and Technology (KAUST) will be covering about computational imaging approaches, and work in an interdisciplinary team to develop new camera systems in one of the application domains.

Graph Neural Networks for Science and Engineering (Internship)
The Graph Neural Networks for Science and Engineering (Internship) project is offered at King Abdullah University of Science and Technology (KAUST)

Numerical Approximation of Partial Differential Equations (Internship)
This Numerical Approximation of Partial Differential Equations (Internship) project from King Abdullah University of Science and Technology (KAUST) will involve the study and analysis of the properties of the approximation of some partial differential equations.

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).

Robust or Differentially Private Machine Learning (Internship)
This Robust or Differentially Private Machine Learning (Internship) project from King Abdullah University of Science and Technology (KAUST) mainly focuses on how to design robust (especially robust against to outliers or heavy-tailed distributions) or private (or forgettable) algorithms for some fundamental problems in machine learning, deep learning or statistics.

Egocentric Video Understanding (Internship)
The Egocentric Video Understanding (Internship) project at King Abdullah University of Science and Technology (KAUST) refers to videos recorded from the first-person point of view, with the camera mounted on the head (e.g., GoPro) or smart glasses worn alongside the eyes (e.g., Google glasses), and they are what you actually see in your eyes.

Federated Learning (Internship)
The Federated Learning (Internship) project at King Abdullah University of Science and Technology (KAUST) enables mobile phones to collaboratively learnashared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.

Deep Learning and Machine Intelligence for Single Cell Genomics (Internship)
This Deep Learning and Machine Intelligence for Single Cell Genomics (Internship) project from King Abdullah University of Science and Technology (KAUST) covers subjects such as single cell biology and genomics in particular are currently transforming the biosciences.

LLM-based Assistant for L-x Security Operation Center (SOC) Analyst (Internship)
This LLM-based Assistant for L-x Security Operation Center (SOC) Analyst (Internship) project from King Abdullah University of Science and Technology (KAUST) explores the feasibility and capabilities of using LLMs for detection and for different analysts' assistant levels.

Improving Solar Corona Simulations with Advanced Boundary Conditions (Internship)
The aim of this Improving Solar Corona Simulations with Advanced Boundary Conditions (Internship) project from King Abdullah University of Science and Technology (KAUST) is to advance the accuracy of solar corona simulations by developing a predictive model for short-term (ideally hourly) solar farside magnetograms.

Planning and Operation of Energy Systems via Risk-aware Optimization (Internship)
The objective of this Planning and Operation of Energy Systems via Risk-aware Optimization (Internship) project from King Abdullah University of Science and Technology (KAUST) is to develop computational methodologies for risk-aware optimization and the implementation of these methodologies to optimize the operation of complex energy systems.

Inverse Problems in Imaging (Internship)
The Inverse Problems in Imaging (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to teach students about inverse problems, and critical techniques for solving them, including convex and non-convex optimization, sparse coding, and compressive sensing.

Efficient Pricing of High-Dimensional (multi-assets) European Options (Internship)
The student of the Efficient Pricing of High-Dimensional (multi-assets) European Options (Internship) project from King Abdullah University of Science and Technology (KAUST) will work on designing new numerical methods based on hierarchical adaptive sparse grids quadratures combined with Fourier techniques for efficient pricing of high-dimensional (multi-assets) European Options.