MICRO DEGREE | 12 EAP | ENG
Fuzzy Data Analysis (Hägusate andmete analüüs majanduses ja ärijuhtimises)
Data used in business and economics are not very often precise numbers, vectors, or categories. Real data are frequently “fuzzy”, e.g. quality of life indicators, environmental indicators, but also biological, medical, sociological, and economic data. However, many practical decisions need the analysis of such ambiguous, imprecise, or subjective data (e.g. consumers choices, marketing, logistics, and management. The program offers a comprehensive review of methods, software, and practical applications. Therefore it is suitable for students as well as practitioners. The students are welcome to bring to the program their own datasets which the tutor will help to analyze as a practical project.
Study language: English
Time of occurrence: 02.12.2022 – 21.04.2023
Duration and credits: 12 ECTS
Form of study: Partially web-based
Location: Tartu
Fee: 1440 EUR
Additional information: Kersti Kurri, kersti.kurri@ut.ee, +372 737 6313
Admission for year 2023: 01.09.2022 – 01.12.2022
Target group
The program is suitable for analysts, consultants, public officials in need of the skills of different analysis techniques (eg public sector special subject managers), and master’s students who must have a bachelor’s degree or equivalent, also Ph.D. students. Previous knowledge of statistics or econometrics is not required.
After obtaining the degree
This program provides a review of the theoretical foundations and applied methods of new modern technology of mathematical modeling of management, production, and broader economic problems – fuzzy modeling – in the context of solving practical problems of economic analysis, marketing, logistics, management, and creation and use of software and information technology. The purpose of the program is to provide practitioners and students, including masters, and graduate students with opportunities to learn the basics of fuzzy set theory and practical skills in fuzzy modeling. The successful graduate of the program receives:
- Practical skills for developing applications of fuzzy data analysis;
- Skills in the creation of applied computer decision-making models based on fuzzy logic approaches;
- Skills in using specialized software for various management, marketing, business, and economic tasks.
Study schedule and subjects
In the 2022/2023 academic year, the course takes place from December to April once a week on either Fridays or Mondays as 6-hour study days. We will add the specific dates of the study at the beginning of December.
The program consists of 2 subjects:
- Specific applications of fuzzy data and practical training (6 ECTS);
- Introduction to the concept of fuzzy sets: analysis, systems and applications (6 ECTS).
Teachers and companies involved
Academic top-level (professor) with practical experience in performing respective analyses in different fields and applications.
Registration information
Admission is based on a bachelor’s degree or the corresponding level of education and the submission of a motivation letter.
Please enter a short letter of motivation in the “additional information or questions regarding participation in the training” field when registering for the course. Please include your educational and professional background and a brief explanation of why you would like to participate in the program.
If you have completed your previous studies outside the University of Tartu, it is necessary to submit a document proving your education. Please send the proof of education to kersti.kurri@ut.ee by the deadline for registering for the course.In the academic year 2022/2023, the program consists of three subjects in the spring semester, which are read together with the Master’s program of Contemporary Economy and Entrepreneurship in Economic Policy-making.
EXPERTS AND VISIONARIES BEHIND THE PROGRAMME
Kadri Ukrainski
Programme Director, Professor of Research and Innovation policy, University of Tartu