The course will start with an intuitive introduction of the topic and gradually builds up to more complicated situations. Examples for the course will be taken from industry, marketing, chemistry, medicine, to show the wide applicability of the optimal design techniques. The attention will not be restricted to optimal design for linear regression models, but Bayesian optimal design and minimax designs for nonlinear regression models will also be discussed. The strengths and weaknesses of optimal design will be illustrated, and some remedies to overcome some of the problems will be given.

Course leader
Lecturer: Prof. Peter Goos (Erasmus University, Rotterdam, Netherlands)Coordinator: Prof. Juha Karvanen (University of Jyvskyl, Finland)

Target group
The target audience for the course is starting Ph.D. students and anyone else who would like a primer on optimal design. Prerequisites for the course are knowledge of basic statistics and regression analysis. Familiarity with classical design of experiments is not required. The course is not highly mathematical and therefore accessible to a broad audience. The Summer School annually offers courses for advanced master's students, graduate students, and post-docs in the various fields of science and information technology.

Course aim
The most important aims of the Summer School are to develop post-graduates scientific readiness and to offer students the possibility to study in a modern, scientific environment and to create connections to the international science community.

Credits info
2 ECTS Passing: Obligatory attendance at lectures, and completing the exercises.Grading: Pass/fail

Fee info
EUR 0: Participating the Summer School is free of charge, but student have to cover the costs of own travel, accommodation and meals at Jyvskyl.

Scholarships
The 25th Jyvskyl Summer School is not able to grant any Summer School students financial support. In order to ensure your participation, we recommend that you take steps to secure your own funding, for example, by turning first to your home institution

University of Jyv%C3%A4skyl%C3%A4
Address: Faculty of Mathematics and Science and Faculty of Information Technology, Jyv%C3%A4skyl%C3%A4 Summer School, Faculty of Mathematics and Science P.O.Box 35 (YK312), FIN-40014 University of Jyv%C3%A4skyl%C3%A4, Finland
Postal code: FIN-40014
City: Jyv%C3%A4skyl%C3%A4
Country: Finland
Website: http://www.jyu.fi/summerschool
E-mail: jss@jyu.fi
Phone: +358505818351