Student Led Symposia 2018/19 Timetable

Week Commencing Monday
13:15-15:15
CB4.7
Wednesday
10:15-11:15
CB4.7
Friday
14:15-16:15
CB4.7
1st October SLS Introduction Attend Landscapes Colloquium
8th October Talks by:
Tom
Margaret
Simone
Zsofia
Talks by:
Jason
Eric
15th October Talks by:
Laura
Jordan
Eileen
Marco
Talks by:
Thomas
Tosin
22nd October Discussion on the paper
"Deep Learning: An Introduction for Applied Mathematicians"
by C. F. Higham and D. J. Higham
Afternoon: Deep learning Matlab trial
29th October Talk by Euan Spence on how to give a talk
Discuss the possible ITT projects suggested by WTW
Afternoon: Deep learning, continue Matlab
5th November Introduction to Monte Carlo method based on
Monte Carlo Statistical Methods
by C. P. Robert and G. Casella
Talks by:
Josh
Stefano - Thesis Formulation
12th November Introduction to MLMC by Kari Heine
AND on Tuesday(!)
Farewell Mini-conference Rob Scheichl
DIAMOND visit
19th November Introduction to time series by Matthew Nunes on Tuesday(!)
Numerical analysis seminar on
Deep Learning for Image Reconstruction
Talk through some chapters in the following lecture notes:
Inverse Problems in Imaging
by M. Benning and M. J. Ehrhardt
26th November Willis Towers Watson visit IMI Public Lecture:
Statistical Methods for Natural Disaster Risk Assessment
by Professor Rams├ęs H. Mena
3th December Introduction to Inverse Problems by Matthias Ehrhardt Talk by Aoibheann on weather extremes and environmental statistics PSS on Thursday(!) 10:15, 4W1.7
Tom Smith: A Primer on Natural Hazard Risk
10th December Data gathering for WTW problems with Alex Cox