FRONTIER 01
Learning for Dynamical Systems
Data-driven models that learn, predict and control systems that evolve over time.
Computation · Machine Learning · AI
Welcome to our Initiative on Computation, Machine Learning & Artificial Intelligence
An initiative of the Faculty of Engineering, Ain Shams University — building a generation of engineers fluent in the methods, tools and computing behind modern AI.
Learning for Dynamical Systems
Generative Models
4
Research frontiers
8
SPARK-101 lectures
All
Majors & programs welcome
1839
Ain Shams heritage
Our mission
Gradual, crafted and deliberate generation of globally recognized scientific contribution in artificial intelligence — by Faculty of Engineering staff and students, who will become leading experts of AI methods, tools and computing.
Research
Four frontiers we work across
Our research connects fundamental AI methods to real engineering design and decision-making.
FRONTIER 02
Multimodal Sensing, Perception & Representation Learning
Fusing vision, signals and language into rich representations machines can reason over.
FRONTIER 03
Optimization & Decision-Making Under Uncertainty
Principled methods for choosing well when data is noisy, partial or incomplete.
FRONTIER 04
Generative Models for Simulation & Design
Generative AI that simulates, explores and proposes new engineering designs.
⚡ SPARK-101
A fast-track introduction to Artificial Intelligence
Free and open to all enrolled students and MSc/PhD researchers — a fast-paced, fun and relevant course to accelerate your learning.
The Finale
⚡ SPARK-101 Hackathon
The course ends with a hackathon-style event. Participants must take part successfully in the hackathon to receive their certificate of participation. Watch this page for more details on the hackathon.
- Bridge the essential maths. Linear algebra, optimization, calculus and probability theory for ML & AI — so you can identify what to learn next.
- Engaging, practical lectures. Every concept is tied to real engineering design and problem-solving using Python, real datasets and simple models.
- Spark enthusiasm. Discover the potential of ML and AI in engineering design and problem-solving.
- Deploy in your coursework. Practical skills you can apply directly in years 3 & 4 coursework and graduation projects.
Enrolment
Register for SPARK-101
Selection is limited, so please apply early. Required fields are marked *
Student Enrolment Form
A Fast-Track Course in Artificial Intelligence — SPARK-101
Registration received
Thank you for applying to SPARK-101. We'll be in touch by email with the next steps. Watch this space for hackathon details.