{"id":3495,"date":"2022-07-28T14:22:28","date_gmt":"2022-07-28T11:22:28","guid":{"rendered":"https:\/\/deltaschool.ut.ee\/?post_type=programmes&#038;p=3495"},"modified":"2024-09-04T15:05:28","modified_gmt":"2024-09-04T12:05:28","slug":"fuzzy-data-analysis","status":"publish","type":"programmes","link":"https:\/\/deltaschool.ut.ee\/en\/programmes\/fuzzy-data-analysis\/","title":{"rendered":"Fuzzy Data Analysis (H\u00e4gusate andmete anal\u00fc\u00fcs majanduses ja \u00e4rijuhtimises)"},"content":{"rendered":"\n<p>Data used in business and economics are not very often precise numbers, vectors, or categories. Real data are frequently &#8220;fuzzy&#8221;, 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. 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.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<p><\/p>\n<cite><strong>&#8220;Come and acquire the skills to make confident decisions even with imprecise data. The program offers practical and theoretical knowledge essential for marketing, logistics, and management decisions. In today&#8217;s business and economic environment, data plays a critical role.&#8221;<\/strong>  &#8211; Programme manager, <em>Oleksandr Dorokhov<\/em><\/cite><\/blockquote>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Study language:\u00a0<\/strong>English<br><strong>Time of occurrence:<\/strong> 04.09.2024 \u2013 31.05.2025<br><strong>Duration and credits:<\/strong> 12 ECTS<br><strong>Form of study:\u00a0<\/strong>Partially web-based<br><strong>Location:\u00a0<\/strong>Tartu<br><strong>Fee:\u00a0<\/strong>1440 EUR<br><strong>Additional information:<\/strong>\u00a0Kersti Kurri,\u00a0<a href=\"mailto:kersti.kurri@ut.ee\">kersti.kurri@ut.ee<\/a>, <\/p>\n\n\n\n<p><strong>Admission for the year 2024: <\/strong>03.06.2024 &#8211; 21.08.2024<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/www.is.ut.ee\/pls\/ois\/!tere.tulemast?leht=OK.AY.VP&amp;id_ay_programm=53598&amp;id_ay_toimumine=71575&amp;systeemi_seaded=10,2,12,1,\" style=\"border-radius:0px;background-color:#b79a31\" target=\"_blank\" rel=\"noreferrer noopener\">Read More and Register<\/a><\/div>\n<\/div>\n\n\n\n<div id=\"block_a02607761bfbbf6daae0cb215273721b\" class=\"wp-block-spacer-custom\" aria-hidden=\"true\">\n\n<style media=\"screen\">\n  #block_a02607761bfbbf6daae0cb215273721b{\n    clear: both;\n    height: 25px;\n  }\n  @media(max-width: 800px){\n    #block_a02607761bfbbf6daae0cb215273721b{\n      height: 12px;\n    }\n  }\n<\/style>\n<\/div>\n\n\n\n  <div id=\"block_4b8bde85ce054bcecc1a2a8fe2bb7a99\" class=\"accordion\">\n          <div class=\"accordion-item\"> <!-- Wrapper for each item -->\n        <div class=\"accordion-toggle\">Target group<\/div>\n        <div class=\"accordion-text\" style=\"display: none;\">\n          <p>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&#8217;s students who must have a bachelor&#8217;s degree or equivalent, also Ph.D. students. Previous knowledge of statistics or econometrics is not required.<\/p>\n        <\/div>\n      <\/div>\n          <div class=\"accordion-item\"> <!-- Wrapper for each item -->\n        <div class=\"accordion-toggle\">After obtaining the degree<\/div>\n        <div class=\"accordion-text\" style=\"display: none;\">\n          <p>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 &#8211; fuzzy modeling &#8211; 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:<\/p>\n<ul>\n<li>Practical skills for developing applications of fuzzy data analysis;<\/li>\n<li>Skills in the creation of applied computer decision-making models based on fuzzy logic approaches;<\/li>\n<li>Skills in using specialized software for various management, marketing, business, and economic tasks.<\/li>\n<\/ul>\n        <\/div>\n      <\/div>\n          <div class=\"accordion-item\"> <!-- Wrapper for each item -->\n        <div class=\"accordion-toggle\">Study schedule and subjects<\/div>\n        <div class=\"accordion-text\" style=\"display: none;\">\n          <p>In the 2024\/2025 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.<\/p>\n<p>The program consists of 2 subjects:<\/p>\n<ul>\n<li>Specific applications of fuzzy data and practical training (6 ECTS);<\/li>\n<li>Introduction to the concept of fuzzy sets: analysis, systems and applications (6 ECTS).<\/li>\n<\/ul>\n        <\/div>\n      <\/div>\n          <div class=\"accordion-item\"> <!-- Wrapper for each item -->\n        <div class=\"accordion-toggle\">Teachers and companies involved<\/div>\n        <div class=\"accordion-text\" style=\"display: none;\">\n          <p>Academic top-level (professor) with practical experience in performing respective analyses in different fields and applications.<\/p>\n        <\/div>\n      <\/div>\n          <div class=\"accordion-item\"> <!-- Wrapper for each item -->\n        <div class=\"accordion-toggle\">Registration information<\/div>\n        <div class=\"accordion-text\" style=\"display: none;\">\n          <p>Admission is based on a bachelor&#8217;s degree or the corresponding level of education and the submission of a motivation letter.<\/p>\n<p>Please enter a short letter of motivation in the &#8220;additional information or questions regarding participation in the training&#8221; 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.<\/p>\n<p>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.<\/p>\n        <\/div>\n      <\/div>\n      <\/div>\n\n\n\n\n<div id=\"block_4f937ba266d4abd75d525b4bcffee242\">\n\n  <div class=\"team-intro\"><h2 style=\"text-align: center\">EXPERTS AND VISIONARIES BEHIND THE PROGRAMME<\/h2><\/div>\n      <div class=\"team-members flex\">\n\n    \n    <div class=\"team-member-item\">\n      <img decoding=\"async\" src=\"https:\/\/deltaschool.ut.ee\/wp-content\/uploads\/2022\/05\/Oleksandr-2-300x300.jpg\">      <p>\n        <strong>Oleksandr Dorokhov<\/strong>        <br>Programme manager, Visiting Professor,  University of Tartu                      <\/p>\n    <\/div>\n\n    \n    <div class=\"team-member-item\">\n      <img decoding=\"async\" src=\"https:\/\/deltaschool.ut.ee\/wp-content\/uploads\/2022\/03\/kadri_ukrainski-2-300x300.jpg\">      <p>\n        <strong>Kadri Ukrainski<\/strong>        <br>Professor in Research and Innovation Policy, University of Tartu                      <\/p>\n    <\/div>\n\n    \n    <\/div>\n  \n<\/div>\n","protected":false},"featured_media":3497,"template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-3495","programmes","type-programmes","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Fuzzy Data Analysis (H\u00e4gusate andmete anal\u00fc\u00fcs majanduses ja \u00e4rijuhtimises) - DELTA Management School<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/deltaschool.ut.ee\/programmes\/fuzzy-data-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Fuzzy Data Analysis (H\u00e4gusate andmete anal\u00fc\u00fcs majanduses ja \u00e4rijuhtimises)\" \/>\n<meta property=\"og:description\" content=\"Data used in business and economics are not very often precise numbers, vectors, or categories. 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