Introduction to Data Science: The Journey from Data to Insights

The morning will kick off with an introduction to Data Science, where you will delve into the journey from collecting raw data to extracting meaningful insights. You will learn the fundamental concepts of Data Science and AI, including data pre-processing, exploratory data analysis, modelling and evaluation. You will also have a hands-on session focusing on Python for Data Science.

In the afternoon, you will learn about data visualisation and its applications. Throughout the week you will have the opportunity to visit the Data Science Institute's Data Observatory, where various demonstrations will be showcased. 

There will be a masterclass on how to effectively read research papers, and curated reading lists will be provided for the self-study sessions and group presentations.

Introduction to Computer Vision

You will start by describing what computer vision is and its applications to our daily life. Then you move on to a classic topic in computer vision - the image classification task - which introduces the concepts of image features, and propose machine learning algorithms to analyse these features and perform the classification task.

In the afternoon, there will be a practical session on image classification using Python to gain hands-on experience on the topic.

A journey through Natural Language Processing

The day will start with a introduction to Natural Language Processing, which is one of the foundational fields in Artificial Intelligence. You will look at Natural Language Processing and a few practical modern applications. 

The afternoon will include guided work, tutorials and individual work with Natural Language Processing exercises.

Group presentations

On the final day, each group will present their understandings, insights and innovative ideas on one or more research papers from a curated reading list. Presentations will be judged by the Mentors and leaders. A prize will be awarded to the winning group.