### Graduate Course in Statistical Computing, Spring/Fall 2005

Course number: 1937
#### Part I: Computational Tools

(2 credits) This part will cover linear algebra for statisticians (numerical
properties of matrices, QR- and singular value decomposition, linear equation
systems, linear least squares, principal components) and numerical optimization
(optimization with and without derivatives, solving non-linear equations,
non-linear least squares, iterative solution of linear equations).

The first lecture will take place on May 2nd,14:00, in Room North-2
at the Department of Medical Epidemiology and Biostatistics on the KI North
campus (MEB). The course will continue for
six weeks and end on June 13th.

Lecture May 2, 2005:
Organization
Presentation
Assignments
R Examples

Lecture May 9, 2005:
Presentation
Assignments
Data 2.4
Data 2.5
R Examples
Handins (.zip)

Lecture May 16, 2005:
Presentation
Assignments
Data 3.4
Image 3.5
Handins (.zip)

Lecture May 23, 2005:
Presentation
Assignments
Data 4.2
Handins (.zip)

Lecture May 30, 2005:
Presentation
Assignments
Data 5.1
Data 5.2
Data 5.3
Data 5.4
Handins (.zip)

Lecture June 13, 2005:
Handins (.zip)