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Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology



KURSSI POISTUNUT OPETUSOHJELMASTA!!!

Kurssi luennoitiin viimeisen kerran keväällä 2007. Viimeinen tentti keväällä 2008. Korvaava kurssi - eri sisällöllä - on T-61.3050 Machine Learning: Basic Principles.


The course was lectured last time in Spring 2007. The last exam in Spring 2008. Replacing course (with different contents) is T-61.3050 Machine Learning: Basic Principles.


suomeksi

In spring 2007, the course is lectured on period IV Tuesdays 12 - 14 o'clock and Wednesdays 12 - 14 o'clock in the lecture room T1. The first lecture is 13th March. The course will be lectured by docent Kimmo Raivio and DSc Markus Koskela. Lecturers can be reached during lectures, or in the Lab of Computer and Information Science, room B305.

The course assistant is Dipl.Eng. Matti Pöllä, room B332. The exercises are on Thursdays 12-14 o'clock and Fridays 10-12 o'clock in the lecture room T1. The first exercises are on 15th March.

The course is based on the book S. Haykin: "Neural Networks - a Comprehensive Foundation", 2nd edition, Prentice-Hall, 1998. Only Chapters 1-5 and 9 of the book are discussed in this course. Master copies of these chapters are available in the office of the Lab of Computer and Information Science (secretary Tarja Pihamaa) for copying them on your own response. The problems and their solutions are available in copied course material. These materials are in English, but lectures and exercises are presented in Finnish.

The course includes also a project work. Project work assistant is Dipl.Eng. Matti Aksela, room B330, Computer Science house, tel. 451 5276. The project work deadline is 31st May 2007. For getting the credit points, both your examination and project work must have been accepted. The next examination of this course will be on Thursday 30th August 2007, 9-12 o'clock, in lecture room T1.

The course covers the following topics:
  1. Introduction to neural computing (Chapter 1);
  2. Overview of principles and methods of neural computing (Ch. 2);
  3. Single-layer networks and their learning rules (Ch. 3);
  4. Multilayer perceptron network and back-propagation learning (Ch. 4);
  5. Radial basis function networks (Chapter 5);
  6. The self-organizing map and learning vector quantization (Ch. 9)
A detailed list of exam requirements is given on a separate page. As well as the lecture schedule of the course, which will be updated as course goes on.

Notices

Notice board of the course is in the third floor of the Computer Science Building. Additionally, notices are given on lectures and exercises, in the newsgroup opinnot.tik.informaatiotekniikka, and on the web page of the course http://www.cis.hut.fi/Opinnot/T-61.3030/index_en.shtml.

Exercises

Exercise problems, spring 2005

Course assignment

Topics and instructions

Exam results

You are at: CIS → /Opinnot/T-61.3030/index_en.shtml

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