MAT-42106 APPLIED LOGICS, 5 cr
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Courses persons responsible
Esko Turunen
Lecturers
Esko Turunen
Implementations
Person responsible: |
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Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Lecture | 4 h/week | 4 h/week | - | - | - | - |
Exercise | 2 h/week | 2 h/week | - | - | - | - |
Exam |
Objectives
Introduction to mathematical foundations and applications of multiple valued
logic. Introduction to mathematical data mining, in particulat to the GUHA-method and its applications.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Residuated lattices, BL-algebras, Wajsberg algebras and MV-algebras.
Semantics, syntax and completeness of many-valued logics. |
Partial and multiple valued similarity
as a base of fuzzy reasoning. Fuzzy IF-THEN rules. Constructing real world applications by means of multiple valued logic |
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2. | Introduction to data mining. The GUHA
method: semantics, syntax and completeness. Finite models and non-standard quatifiers. |
Introduction to LISp Miner, a software implementation of the GUHA method. Practical data mining tasks by LISp Miner. |
Requirements for completing the course
Examination or two partial examinations
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Book | Mathematics behind Fuzzy Logic | Esko Turunen | 3-7908-1221-8 | Springer-Verlag, 1999, ISBN 3-7908-1221-8 | Yes | English | |
Online book | Mechanizing hypothesis formation | Hajek, P., Havranek, T. | http://www.cs.cas.cz/~hajek/guhabook/ | No | English | ||
Other online content | LISpMiner | Jan Rauch | http://lispminer.vse.cz/ | Yes | English |
Prerequisites
Prequisite relations (Sign up to TUT Intranet required)
Additional information about prerequisites
Some basic knowledge of classical logic and Boolean algebras is useful but not necessary.
Remarks
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- Contact teaching: 100 %
- Distance learning: 0 %
- Proportion of a student's independent study: 0 %
Scaling
Methods of instruction | Hours |
Lectures | 120 |
Exercises | 36 |
Laboratory assignments | 10 |
Total sum | 166 |
Correspondence of content
MAT-42100 Applied logics
Last modified | 09.05.2006 |
Modified by | Emilia Ylirinne |