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CS38A0070 Fuzzy data analysis, 6 cr 
Code CS38A0070  Validity 01.01.2018 - 31.07.2019
Name Fuzzy data analysis  Abbreviation Fuzzy data anal 
Credits6 cr   
TypeBasic studies  
ClassCourse   
  Grading scaleStudy modules 0-5,P/F 
  Eligibility for post-graduate studiesno
    Allowed to study several timesno
Organisation LUT School of Engineering Science 

Description by Study Guide
Year 

M.Sc. (Tech.) 2

 
Period 

3

 
Teaching Language 

English

 
Teacher(s) in Charge 

Professor, D.Sc. (Tech.) Pasi Luukka

 
Aims 

In the end of the course the student is expected to be able to

  • understand theoretical aspects of data analysis
  • understand basic mathematics from fuzzy set theory related to data analysis
  • apply fuzzy set theory based models in data analysis
  • analyze and interpret results from the models
  • apply fuzzy principal component analysis, fuzzy clustering and classification methods to data analysis problems
 
Contents 

Fuzzy sets and relations. Uncertainty measures. Qualitative and quantitative analysis of fuzzy data. Principles of individual multi-person, multi-criteria decision making, feature selection, fuzzy principal component analysis, fuzzy clustering and classification, fuzzy regression analysis.

 
Teaching Methods 

Lectures 28 h, exercises 28 h. Practical assignment. Independent study 100 h. Total work load 156 h.

 
Examination in Examination schedule (Yes/No) 

Yes

 
Examination in Moodle (Yes/No) 

No

 
Examination in Exam (Yes/No) 

No

 
Number of mid-term examinations 

No

 
Assessment scale and assessment methods 

0-5, examination 100 %. Practical assignment.

 
Course Materials 

Bandemer, H., Näther, W.: Fuzzy Data Analysis, Kluwer Academic Publ., 1992.

 
Prerequisites 

CS38A0060 Fuzzy sets and fuzzy logic

 
Places for exchange-students? (Yes, number/No) 

No

 
Places for Open University Students?(Yes, number/No) 

Yes, max 10

 


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