About this course: This course is an introduction into formal concept analysis (FCA), a mathematical theory oriented at applications in knowledge representation, knowledge acquisition, data analysis and visualization. It provides tools for understanding the data by representing it as a hierarchy of concepts or, more exactly, a concept lattice. FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. In this course, we focus on some of these techniques, as well as cover the theoretical foundations and algorithmic issues of FCA. Upon completion of the course, the students will be able to use the mathematical techniques and computational tools of formal concept analysis in their own research projects involving data processing. Among other things, the students will learn about FCA-based approaches to clustering and dependency mining. The course is self-contained, although basic knowledge of elementary set theory, propositional logic, and probability theory would help. End-of-the-week quizzes include easy questions aimed at checking basic understanding of the topic, as well as more advanced problems that may require some effort to be solved.
Who is this class for: This course will be interesting for: • Bachelor students (3rd or 4th year) • Master students • Researchers and data analysts who want to get acquainted with formal concept analysis and its potential applications
Taught by: Sergei Obiedkov , Associate Professor
Faculty of computer science
| Level | Intermediate |
| Commitment | 6 weeks, 4-6 hours per week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
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Очень хороший курс. Для удобства прохождения не хватало презентационного материала. Была неопределенность в одном-двух тестовых вопросах. Но в целом курс полезный и очень интересный! Спасибо!
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FV
This is a mind-opening course. It will not give you a lot of mathematical detail about the techniques it reviews (although it certainly does that for Restricted Boltzmann Machines) but the scope and perspective of Hinton's on the field is unique. If you like NN you cannot miss it.