x !
Archived Curricula Guide 2011–2012
Curricula Guide is archieved. Please refer to current Curricula Guides
TKOPS115 Neurocomputing 6 ECTS
Organised by
Computer Science
Preceding studies
Basic studies in Mathematics.

Learning outcomes

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


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


Modes of study

Written examination and active participation in exercises.


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.

  • Finnish Study Modules
  • Other Studies
  • Mathematics
  • Statistics
  • Computer Science
  • Interactive Technology