Data Science and Fake News

Overview

In this one-day course we will introduce you to the concept of Deep Fake technology and its social impacts across society. The day will include some hands-on exercises.

Videos where faces and voices have been swapped/edited are known as Deep Fake. Deep Fake primarily uses two type of technologies, namely artificial intelligence and data processing to fabricate images and sounds in order for the digital content appear to be real. This technology allows one to change face and hair style, gender, age and other attributes using a simple application that can be downloaded on a Smartphone or a PC.

Please note: You are advised to bring your own laptop for participation in the practical elements of this course.

Programme details

9.45am
Registration

10.00am
Introduction to Data Science and Fake News
Dr Sepi Chakaveh

11.15am 
Tea/coffee break

11.35am
Application of AI to Fake News
Dr Sepi Chakaveh and Dr Selvakumar Ramachandran

1.00pm 
Lunch break

2.00pm
Implementation of your first Deep Fake Application
Dr Sepi Chakaveh and Dr Selvakumar Ramachandran

3.15pm 
Tea/coffee break

3.45pm
Implementation of your first Deep Fake Application (continued)
Dr Sepi Chakaveh and Dr Selvakumar Ramachandran

5.00pm
Course disperses

Fees

Description Costs
Tuition fee (includes tea/coffee) £105.00
Baguette £6.10

Funding

If you are in receipt of a UK state benefit or are a full-time student in the UK you may be eligible for a reduction of 50% of tuition fees.

Concessionary fees for short courses

Tutors

Dr Sepi Chakaveh

Tutor

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.

Dr Selvakumar Ramachandran

Tutor

Pixsellar

Application

Please use the 'Book' or 'Apply' button on this page. Alternatively, please contact us to obtain an application form.

Accommodation

Accommodation is not included in the price, but if you wish to stay with us the night before the course, then please contact our Residential Centre.

Accommodation in Rewley House - all bedrooms are modern, comfortably furnished and each room has tea and coffee making facilities, Freeview television, and Free WiFi and private bath or shower rooms.  Please contact our Residential Centre on +44 (0) 1865 270362 or email res-ctr@conted.ox.ac.uk for details of availability and discounted prices.