Engineering of Data and Knowledge

Major: IT Project Management
Code of subject: 7.126.03.O.001
Credits: 5.00
Department: Information Systems and Networks
Lecturer: D., Professor Lytvyn Vasyl Volodymyrovych
Semester: 1 семестр
Mode of study: денна
Мета вивчення дисципліни: • major techniques of knowledge and data engineering; • methods of knowledge extraction; • linguistic means of knowledge and data description.
Завдання: • major techniques of knowledge and data engineering; • methods of knowledge extraction; • linguistic means of knowledge and data description.
Learning outcomes: • major techniques of knowledge and data engineering; • methods of knowledge extraction; • linguistic means of knowledge and data description.
Required prior and related subjects: • Machine Learning; • Methods of Natural Language Processing.
Summary of the subject: Data mining techniques. Theoretical aspects of knowledge extraction. Psychological aspect. Linguistic aspect. Epistemological aspect of knowledge extraction. Structuring methods. Evolution of knowledge acquisition systems. Methods of knowledge acquisition. Domain. Domain description language. Semiotic model of domain. Strategies of knowledge acquisition. Methods of knowledge classification and systematization. Theoretical aspects of knowledge structuring. Hierarchical approach. Traditional structuring methodology. Object-structural approach. Methods of knowledge compilation. Communicative methods. Passive methods. Active individual methods. Active batch methods. Textual methods. Methods of structuring. Latent knowledge structure. Semantic space and graduation. Identification of "hidden" knowledge structures . Repertory grid technique. Construct detection method. Repertory grid analysis.
Опис: • Current control (40%): written reports on laboratory work, essay, oral examination; • Final control (60% of exam): in written, verbally.
Assessment methods and criteria: • Current control (40%): written reports on laboratory work, essay, oral examination; • Final control (60% of exam): in written, verbally.
Критерії оцінювання результатів навчання: • Current control (40%): written reports on laboratory work, essay, oral examination; • Final control (60% of exam): in written, verbally.
Порядок та критерії виставляння балів та оцінок: 100-88 points - certified with an “excellent” grade - High level: the student demonstrates an in-depth mastery of the conceptual and categorical apparatus of the discipline, systematic knowledge, skills and abilities of their practical application. The mastered knowledge, skills and abilities provide the ability to independently formulate goals and organize learning activities, search and find solutions in non-standard, atypical educational and professional situations. The applicant demonstrates the ability to make generalizations based on critical analysis of factual material, ideas, theories and concepts, to formulate conclusions based on them. His/her activity is based on interest and motivation for self-development, continuous professional development, independent research activities, implemented with the support and guidance of the teacher. 87-71 points - certified with a grade of “good” - Sufficient level: involves mastery of the conceptual and categorical apparatus of the discipline at an advanced level, conscious use of knowledge, skills and abilities to reveal the essence of the issue. Possession of a partially structured set of knowledge provides the ability to apply it in familiar educational and professional situations. Aware of the specifics of tasks and learning situations, the student demonstrates the ability to search for and choose their solution according to the given sample, to argue for the use of a particular method of solving the problem. Their activities are based on interest and motivation for self-development and continuous professional development. 70-50 points - certified with a grade of “satisfactory” - Satisfactory level: outlines the mastery of the conceptual and categorical apparatus of the discipline at the average level, partial awareness of educational and professional tasks, problems and situations, knowledge of ways to solve typical problems and tasks. The applicant demonstrates an average level of skills and abilities to apply knowledge in practice, and solving problems requires assistance, support from a model. The basis of learning activities is situational and heuristic, dominated by motives of duty, unconscious use of opportunities for self-development. 49-00 points - certified with a grade of “unsatisfactory” - Unsatisfactory level: indicates an elementary mastery of the conceptual and categorical apparatus of the discipline, a general understanding of the content of the educational material, partial use of knowledge, skills and abilities. The basis of learning activities is situational and pragmatic interest.
Recommended books: • Литвин В. В. Методи та засоби інженерії даних та знань / В. В. Литвин // навчальний посібник з грифом МОНУ. – Львів : «Магнолія-2006», 2012. – 241 с. • Глибовець М.М., Олецький О.В. Штучний інтелект. – К.: КМ Академія, 2002. – • Представление и использование знания / под ред. Х.Уэно, М.Исидзука. - М.: Мир, 1989. • Гаврилова Т. А. Базы знаний интеллектуальных систем / Т.А.Гаврилова, В.Ф.Хорошевский. –СПб: Питер, 2001. – 384с. • Рассел С. Искусственный интеллект / С.Рассел, П.Норвиг. – М.,С.-П.,К.: Вильямс, 2006. – 1408с.