Annex II: 2016-17 Turing Doctoral Masterclasses

INTRODUCTION TO DATA SCIENCE DOCTORAL MASTERCLASS PROGRAMME 2016

(THE PROGRAMME IS SUBJECT TO CHANGE FOR 2017)

Monday 10 October

13:30-16:30 - Mathematical representations and models


13:30-14:30 Topics in computational harmonic analysis: from wavelets to matrix completion Jared Tanner (University of Oxford, Alan Turing Institute University Liaison Director)

14:30-15:30 Statistical Inference for Networks

Gesine Reinert (University of Oxford, Turing Faculty Fellow)

15:30-16:30 Iterative Stochastic Numerical Methods for Statistical Sampling Ben Leimkuhler (University of Edinburgh, Turing Faculty Fellow)

Monday 17 October

11:30-12:30 - Social network analysis: Considerations for data collection and analysis Bernie Hogan (Oxford Internet Institute, Turing Faculty Fellow)

13:30-16:30 - Introduction to Machine Learning

Zoubin Ghahramani (University of Cambridge, Alan Turing Institute University Liaison Director)

Monday 24 October

11:30-12:30 - Tools and Techniques - The command line and text editors James Geddes (Research Software Engineer, The Alan Turing Institute)

13:30-16:30 - Why start a start-up?

Matt Clifford (Entrepreneur First) [This will be followed by an informal social with other EF employees]

Monday 31 October

11:30-12:30 - Tools and Techniques - Data science with R

James Geddes (Research Software Engineer, The Alan Turing Institute)


13:30-16:30 - Optimisation

Coralia Cartis and Raphael Hauser (University of Oxford, Turing Faculty Fellow)

Monday 7 November

11:30-12:30 - Tools and Techniques - Version control with git

James Geddes (Research Software Engineer, The Alan Turing Institute)

13:30 – 16:30 - Statistical Methodology and Theory

Richard Samworth (University of Cambridge, Turing Faculty Fellow)

Monday 14 November

11:30-12:30 - Tools and Techniques - Python

James Geddes (Research Software Engineer, The Alan Turing Institute)

13:30-16:30 - Social Data Science

Suzy Moat and Tobias Preis (University of Warwick, Turing Faculty Fellows)

Monday 21 November

11:30-12:30 - Data Science Applications - Urban data science through Geo-Social Network Analysis Cecilia Mascolo (University of Cambridge, Turing Faculty Fellow)

13:30-16:30 - Information Visualisation Min Chen (University of Oxford)

Monday 28 November

11:30-12:30 - Better, faster, more reproducible research with Microsoft Azure cloud computing Kenji Takeda (Microsoft Research Limited)

15:00 - 16:30 - Privacy

George Danezis (UCL, Turing Faculty Fellow)

Tuesday 6 December

14:00 -15:30 - Ethics in Data Science Brent Mittelstadt (Oxford Internet Institute)

Thursday 8 December

14:00 -15:00 - Data Science Applications - Environmental/Ecological Ruth King (University of Edinburgh, Turing Faculty Fellow)

Monday 12 December

13:30 – 16:30 - Tools for Big Data - Introduction to concepts and tools around large-scale data analytics Richard Gibbens (University of Cambridge, Turing Faculty Fellow)