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Archived Curricula Guide 2010–2011
Curricula Guide is archieved. Please refer to current Curricula Guides
TKOPS115 Neurocomputing 6 ECTS
Organised by
Computer Science
Preceding studies
Compulsory:
Basic studies in Mathematics.
Corresponding course units in the curriculum
Department of Computer Sciences
Curricula 2008 – 2010
TKOPS115 Neurocomputing 8 ECTS

Learning outcomes

The course introduces the basic methods of neurocomputing and their applications in different problems.

Contents

Methods of neurocomputing and algorithms in conjunction with networks with forward and backward input are examined. Topics include also the supervised and unsupervised learning of neural networks. The examined methods are discussed in the context of application examples such as making various inferences.

Teaching methods

Teaching method Contact Online
Lectures 24 h 0 h
Exercises 12 h 0 h

Teaching language

Finnish

Modes of study

Written examination and active participation in exercises.

Evaluation

Numeric 1-5.

Recommended year of study

Advanced studies, 3rd year, spring semester or later.
The course is not lectured every year.

Study materials

Haykin S., Neural Networks: A Comprehensive Foundation, 2. edition, Prentice Hall, 1999.

Degree Programmes taught in English
  • Master's Degree Programme in Software Development
    • Degree Programmes taught in Finnish
  • Computer Science: B.Sc.
  • Computer Science: M.Sc.
    • Interactive Technology
    Degree Programmes taught in English
  • Master's Degree Programme in User Interface Software Development
  • Master's Degree Programme in Interactive Technology
    • Degree Programmes taught in Finnish
  • Interactive Technology: B.Sc.
  • Interactive Technology: M.Sc.
    • Finnish Study Modules
    Study Modules taught in Finnish
  • Study modules for minor subject students