Tutor information
Sepi Chakaveh
Dr Sepideh Chakaveh is a Departmental Lecturer in Data Science and Course Director for the Undergraduate Advanced Diploma in IT System Analysis and Design (ADITSAD). Sepi has a BSc in Electronic Engineering and a PhD in Experimental Astrophysics and Space Sciences from the University of Kent.
She has extensive experience as a Senior Scientist/Academic working both in the UK and Germany, including Imperial College London, Max Planck Institute in Heidelberg, University of Göttingen, Fraunhofer Society and the University of Southampton where she was the co-founder and the former Director of Southampton Data Science Academy, the first UK online data science academy.
Courses
This intermediate course primarily focuses on the theory of data science & machine learning. In here the students are introduced to a raft of current related topics such as deep learning, neural networks, NLP and computer vision and their applications.
This course aims to provide a high-level overview of data science concepts and technologies in order to understand everyday data science issues.
A day school providing an overview as to how data science is used to create fake news. We will introduce you to Deep Fake technology along with its social impacts across society. The day will include some hands-on exercises.
Quantum computing is an emerging field that uses the principle of quantum physics replacing classic computing which is based on electronics processing.
This course aims to describe the quantum computing in the context of technology applications.
An intermediate course introducing a blend of data science concepts and technologies in order to enable you to work with everyday data-related issues analytically. Gain experience of the entire data science supply chain with a hands-on group project.