02457 Practical information Fall 2008

Lectures:	PLEASE CONSULT CAMPUSNET FOR NEW MATERIALS AND DESCRIPTIONS NOTE This page is an old back-up for the course for compatibility with the old book.
Format	The course will be run in a hands-on format with 9 MATLAB exercises and a mini project.The mini project concerns Hidden Markov models for speech.The exercises and the mini project will also form the basis for the oral exam.
Exam:	Oral exam: Time and place to be announced.
Materials for Exam 2005 :	· The FALL2006 curriculum (pensum) can downloaded (pdf) · Description of examination 2006-07 (text)
Textbook:	C.M. Bishop: Pattern Recognition and Machine Learning, Springer (2006)
Exercises:	Exercise 1, Exercise 2, Exercise 3, Exercise 4, Exercise 5, Exercise 6, Exercise 7, Exercise 8, Exercise 9, Exercise 10a (part I), Exercise 10b* (part II), Exercise 10c* (part III), (*) means "frozen" for use in Fall 2006
Teachers:	Prof. Lars Kai Hansen, e-mail: lkhansen@imm.dtu.dk, Phone, +45 45253889 Assoc. Prof. Ole Winther, e-mail: owi@imm.dtu.dk, Phone, +45 45253895