Monday	Tuesday	Wednesday	Thursday	Friday
09:30
09:45	Kernels	Splines	Robust smoothing	EDA and FDA
10:00	Opening	Lecture		Lecture	Lab VII
10:15	Lecture	Spline based methods 1	Student presentations	Principal Curves	R, BayesX, Group Work
10:30	Introduction	Splines and Penalization	Amin Jamalzadeh		(groups of 4)
10:45	Density estimation		Ben Powell	Pres.: Mohammad Zayed	Project II
11:00	CG 85	CM 221	CG 83	CM 221
11:15	Coffee CM105	Coffee CM105	Coffee CM105	Coffee CM103
11:30	Lecture	Lecture    CM 221	Lecture: Roland Fried	Lecture: David Wooff	And preparation of
11:45	Kernel based methods I	Spline based methods 2	Robust non-parametric		Presentations
12:00	Local polynomials	Additive models	Smoothing	Functional Data Analysis
12:15	CG 85	Semiparametric Models	CM 221	CM 221	CG 66
12:30	Lunch	Lunch	Lunch	Lunch
12:45
13:00	CM 103	CM 103	CM 103	CM 103
13:15	Lecture	Lecture	Lab III	Lab V
13:30	Kernel based methods 2	Smoothing and Mixed Models	R	Free Group work
13:45	Bandwidth selection	Bayesian Smoothing	(groups of 2)	(groups of 4)	Pres I
14:00	Bivariate smoothing				Pres II
14:15	CG93	CM 221	CG66	CG66	Pres III CM 221
14:30					Pres IV
14:45	Lab I	Lab II	Lab IV	Lab VI	Pres V
15:00	R	BayesX	R	Free Group work	Pres VI
15:15	(groups of one)	(groups of one)	(groups of 2)	(groups of 4)	Discussion
15:30					Wine & Snacks
15:45	CG66	CG68	CG66	CG66	CM 211
16:00		Coffee CM211
16:15	Statistics Seminar*
16:30	Mrs Dr Adham	RSS – NE Meeting
16:45	Generalized Lifetime Dist'ns	Talk Roland Fried
17:00	CM 221	Monitoring medical time
17:15		series
17:30		CM101
17:45
18:00
	*not part of “Smoothing”
	Training course!!