The course aims at delivering an intuitive understanding of the fundamentals and thus the power and limitations of various methods like Artificial Neural Network. SOM, genetic and evolutionary algorithms, simulated annealing.
Contents
Common algorithmic and AI methods used in data analysis in many fields of research, including but not restricted to bio and medical informatics. Different data analysis methods and applications are included.
Teaching methods
Teaching method
Contact
Online
Independent work
Independent work, exercises, oral exam.
Teaching language
English
Modes of study
Option
1
Available for:
Degree Programme Students
Other Students
Open University Students
Doctoral Students
Exchange Students
Participation in course work
In
English
Exercise(s)
In
English
Evaluation
Numeric 1-5.
Study materials
Course material on the Internet.
Further information
In the academic year 2014-2015 this course will be substituted by the course BIO2450 Advanced bioinformatics tools 4 ECTS. In the academic year 2013-2014 the course can be replaced by SGN-13006 Introduction to Pattern Recognition and Machine Learning 5 ECTS at the Tampere University of Technology.