- Home
- Programmes
- Computer Sciences
670 Short courses in Computer Sciences

Physics Summer School
The Physics Summer School course at Imperial is led by Professor David Colling and Dr Alexander Richards from Imperial’s Department of Physics.

IT (Web Design)
Want to enter a fast-paced, growing profession that lets you showcase your technical and creative skills? Take the next step in your career with the IT (Web Design) course from International Career Institute (ICI). These flexible learning programmes will equip you with the skills you need to thrive in this dynamic industry.

Resilient Models for Attacks Detection in Cyber-Physical Systems (Internship)
The goal of this Resilient Models for Attacks Detection in Cyber-Physical Systems (Internship) project from King Abdullah University of Science and Technology (KAUST) is developing methods to merge Machine Learning (ML) with physics-based models to create control algorithms can significantly enhance the resiliency of Cyber-Physical Systems (CPS).

Dual-Band Ku or Ka - Band Phase Shifter for SATCOM Applications (Internship)
This Dual-Band Ku or Ka - Band Phase Shifter for SATCOM Applications (Internship) from King Abdullah University of Science and Technology (KAUST) involves designing a tunable phase shifter using TSMC 65 nm technology operating in both Ku-band and Ka-band for satellite communication systems.

Optimal Strategies for Resource-task Network Problems (Internship)
The goal of the Optimal Strategies for Resource-task Network Problems (Internship) project from King Abdullah University of Science and Technology (KAUST) is to transform a set of initial resources over time into more useful objects or resources, through the scheduling of tasks, which may involve resource extraction or manufacturing (often referred to as “crafting” in the game context.

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.

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)

Continual Learning (Internship)
The goal of the Continual Learning (Internship) project from King Abdullah University of Science and Technology (KAUST) is to develop and improve the capability of the machine learning methods not to forget older concepts as time passes.

LLM Injection Cyber Resilient Assistants (Internship)
This LLM Injection Cyber Resilient Assistants (Internship) project from King Abdullah University of Science and Technology (KAUST) develops LLM injection-resilient cyber assistants that combine safety and adaptability.

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.

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.

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 Power Amplifier Design at 140 GHz (Internship)
The Efficient Power Amplifier Design at 140 GHz (Internship) project from King Abdullah University of Science and Technology (KAUST) involves designing a high-efficiency power amplifier (PA) operating at 140 GHz for sub-THz communications using advanced SiGe technology.

Channel-Adaptive Machine Learning-Based mmWave Beamforming (Internship)
The Channel-Adaptive Machine Learning-Based mmWave Beamforming (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on integrating machine learning algorithms into mmWave beamforming to dynamically adapt to changing channel conditions.

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).

Transaction Graph Analysis in the Cardano Network (Internship)
The Transaction Graph Analysis in the Cardano Network (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on analyzing the transaction graph of the Cardano blockchain to uncover structural and behavioral insights into the network.

AI and Machine Learning for Business
This 6-week, part-time online AI and Machine Learning for Business course at University of Southampton will introduce you to the core capabilities of Artificial Intelligence (AI) and empower you to contribute to this exciting new era in global technological development.

AI Engineer Using Microsoft Azure Nanodegree
Join this AI Engineer Using Microsoft Azure Nanodegree programme offered by Udacity, built in collaboration with Microsoft.

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.

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.