Company Research

Major: Computer Sciences
Code of subject: 7.122.00.M.13
Credits: 3.00
Department: Automated Control Systems
Semester: 2 семестр
Mode of study: денна

Company Research

Major: Computer Sciences
Code of subject: 7.122.00.M.14
Credits: 3.00
Department: Computer-Aided Design
Lecturer: Pavlo V. Tymoshchuk
Semester: 2 семестр
Mode of study: денна
Learning outcomes: As a result of studying the discipline, the student should be able to demonstrate the following learning outcomes: 1) The ability to study the theoretical foundations of research. 2) Ability to know existing methods of information search. 3) Ability to know the principles of construction of expert systems. 4) Ability to know the basics of metrology, experiment planning and evaluate the effectiveness of scientific results. 5) Ability to know the principles of preparation, design and protection of scientific works. 6) Ability to formulate and refine an important research problem, to solve it to gather the necessary information and to formulate conclusions that can be protected in a scientific context. 7) Ability to work with expert sources of information to integrate data and knowledge in the field of activity of the organization through the methods of knowledge acquisition, knowledge submission, classification and compilation of knowledge. 8) Ability to possess sufficient scientific skills to successfully conduct research under the supervision of a mentor. The study of the discipline provides formation and development of students' competencies: common: 1) knowledge of the theoretical foundations of research methods; 2) knowledge of the principles of scientific research; 3) ability to speak a second language; 4) ability to learn; 5) ability to communicate verbally and in writing in Ukrainian; 6) ability to search and analyze information from different sources; 7) ability to identify, formulate and solve problems; 8) ability to apply knowledge in practical situations; 9) ability to make justified decisions; 10) ability to work in a team; 11) knowledge and understanding of the subject area and understanding of the profession; 12) ability to communicate with non-specialists of one industry; 13) ability to think abstractly, analyze and synthesize; 14) ability to work independently; professional: 1) ability to use the results of scientific research; 2) ability of a flexible way of thinking, which enables to understand and solve problems and tasks, while maintaining a critical attitude to established scientific concepts; 3) ability to use advanced theoretical and fundamental knowledge in the field of information technology to develop complex systems; 4) ability to formulate, analyze and synthesize solutions to scientific problems at an abstract level by decomposing them into components that can be explored separately in their more or less important aspects; 5) ability to build appropriate models of complex systems, research them to build information systems projects; 6) ability to communicate with colleagues in the field on scientific achievements, both at the general and specialist level, ability to make oral and written reports, to discuss scientific topics in their native and English languages; 7) ability to give an oral presentation and write a comprehensible article on the results of the conducted research, as well as on modern concepts of information technologies; 8) ability to formulate (making presentations or presenting reports) new hypotheses and scientific tasks in the field of information technology, to choose the right directions and appropriate methods for their solution; 9) ability to absorb the acquired knowledge in computer science, information technology and integrate it with existing ones.
Required prior and related subjects: • pre-requisite: differential equations; systems theory; signal processing; theory of electronic circuits; programming languages; • co-requisite: numerical methods; systems modeling; artificial neural networks; computer networks; distributed computer systems.
Summary of the subject: The methods and means of scientific research and technical creativity, basic information about the organization of research work, its stages, the methodology of scientific research in technical fields, as well as recommendations for the preparation and writing of scientific reports, coursework and diploma works are studied. The essence of training the skills of independent scientific research, expansion of scientific outlook and development of creative thinking is considered. The basics of the development of expert systems are studied, both using their existing shells, and indirectly - in the process of considering (or based on) the language of Prolog logical programming. The basics of metrology and the theory of multivariate experiment planning are studied.
Assessment methods and criteria: • current control (50%): current reports of laboratory works, oral asking; • final control (50%, examination): fulfilling test tasks.
Recommended books: Basic 1. Анісімов А.В., Глибовець М.М., Кравченко І.В., Олецький О.В., Терещенко В.М., Кулябко П.П. Системи штучного інтелекту. - К .:ВЦ "Київський Університет" , 2000 . - 100 c. 2. Глибовець М.М., Олецький О.В. Штучний інтелект. - К .:Видавничий дім "КМ Академія" , 2002 . - 366 c. 3. Журахівський А. В., Варецький Ю. О., Бахор З. М. Основи наукових досліджень та технічної творчості:навч. посіб. для студ. електроенерг. спец.-Л.:Вид-во Приаз. держ. техн. ун-ту,2000 .-138 с. 4. Спірін О.М. Початки штучного інтелекту. Навч. посібник для студентів фіз.-мат. спеціальностей. вищих педагогічних навчальних закладів. – Житомир: Вид-во ЖДУ, 2004.- 172с. 5. Тимощук П.В. Методи та засоби наукових досліджень в інноваційних комп’ютерних технологіях: Конспект лекцій для магістрів спеціальності 8.080402 “Інформаційні технології проектування”.-Львів; Видавництво Національного університету ”Львівська політехніка”, 2006. - 125с. 6. Тимощук П. В. Штучні нейронні мережі: навч. посібник / П. В. Тимощук. – Львів: Видавництво Львівської політехніки, 2011. – 444 с. Complementary 1.Андрушко П.П. Кримінально-правова охорона прав інтелектуальної власності в Україні. –К.: ФОРУМ, 2004, – 160 с. 2. Довідник Інтернет-ресурсів України “Жовті сторінки Інтернет 2004”, ТОВ “Жовті Сторінки України”.-Київ, 2004.-223 с. 3. Єріна А.М., Захожай В.Б., Єрін Д.Л. Методологія наукових досліджень: Навчальний посібник.-Київ: Центр навчальної літератури, 2004.-212 с. 4. Інтелектуальна власність в Україні. Нормативна база.-К.:КНТ, 2003.-440 с. 5. Ковальчук В.В., Моісеєв Л.М. Основи наукових досліджень: Навчальний посібник. Видання друге, перероблене і доповнене. –К.: Вид-во “Професіонал”, 2004.-208 с. 6. Пастухов О.М. Авторське право в Інтернет. –Київ, Видавництво “Школа”, 2004.-144 с. 7. Постанови КМУ від 27.12.2001 р. № 1756 “Про державну реєстрацію авторського права і договорів, які стосуються права автора на твір” (опубліковано в бюлетені “Офіційний вісник України” № 52 від 11.01.2002 р.) 8. П’ятницька-ПоздняковаІ.С. Основи наукових досліджень у вищій школі: Навчальний посібник .-К.: 2003.- 116 c. 9. Святоцький О.Д., Крайнєв П.П., Ревуцький С.Ф.Правове забезпечення інноваційної діяльності в Україні: питання теорії і практики/За ред.. О.Д.Святоцького.-К.: Концерн “Видавничий дім ”Ін Юре””, 2003.-80 с. 10. Тимощук П. В., Маркелов О. Е. Методи та засоби наукових досліджень в інноваційних комп’ютерних технологіях: Електронний навчально-методичний комплекс для студентів Інституту комп’ютерних наук та інформаційних технологій спеціальності 8.05010102 “Інформаційні технології проектування”. Сертифікат № 00474, номер та дата реєстрації: Е41-165-33/2013 від 28.10.2013 р. [Електронний ресурс] – Режим доступу: http://vns.lp.edu.ua/course/view.php?id=8581.

Company Research

Major: Computer Sciences
Code of subject: 7.122.00.M.15
Credits: 3.00
Department: Artificial Intelligence Systems
Lecturer: Boyko Nataliya
Semester: 2 семестр
Mode of study: денна
Learning outcomes: a) to know: • the history and methodology of scientific research; • laws and forms of cognition; • Features of environmental sites and principles of information collection; • substantive statement of the computer simulation problem; • principles for building models of environmental processes; • data processing and analysis methods; • methodological bases of mathematical forecasting; • criteria for assessing the adequacy of models. b) be able to: • organize theoretical and experimental studies; • Have research and processing and presentation methods; • be able to identify key and secondary indicators of environmental information; • organize research work; • implement research findings.
Required prior and related subjects: machine learning
Summary of the subject: Laws and forms of knowledge. System approach. There is a problem. Research concept and methods. Investigating relationships and causation. Classification of scientific concepts. Researcher's error in the process of cognition. Concept of research methodology and presentation of patterns. Systematicity in scientific knowledge. Signs and principles of system definition. Classification of systems. Methodological basis of systematic research. Fundamentals of mathematical systems theory. System approach and system analysis. Scientific research. The main stages of the development of science. Classification of Sciences. Science as a social institute. Methodology of science. Science. Features of scientific creativity, some laws and trends of science. Research methodology. Formulation of the topic, purpose and objectives of scientific research. Methodology for experimental studies. Methodology of theoretical research. Principles of information gathering. Basic features of computer networks and data channels. Features of data transfer protocols. National and international standards for data transmission. Features of databases and repositories. The concept of statistical observation. Calculation of sample size. Requirements for the statistical observation system. Research methods. Organization of research work. Comparison and measurement. Induction and deduction. Analysis and synthesis. Scientific ideas and hypotheses. Abstraction and generalization. Analogy and metaphor. Similarity. Power complexes. Scales and scale equations. Conformity. Similarity criteria. Accuracy concepts and approximate calculations. The main stages and sequence of research. Sharing the results. Methods of data processing and analysis Descriptive statistics. An empirical distribution function. Statistical testing of hypotheses. Detection of anomalous observations and omissions. Construction and analysis of time series. The least squares method. Special methods of data processing. Analysis of variance, correlation and cluster analysis. Factor analysis. Methods of data smoothing. Spectral analysis. Alignment and data normalization. Methodical bases of mathematical modeling. Real object and model. Types and classification of models. Model adequacy criteria. Computer simulation. Simulation software. Simulation of random variables and processes. Continuous, discrete and continuous discrete models. Simulation modeling. Principles of construction of imitation models. Elements of theory and approximation of distributions. Modeling technology. Typical imitation models. Design and presentation of research results. Design in the form of a report, report, article. Requirements for scientific manuscript. General plan of presentation of the results of the scientific work: title, content, preface, introduction, literature review, presentation of basic material, discussion, conclusions, appendices. Oral presentation of the results of scientific work. Preparation of the report. Presentation and illustrations. Implementation of research results. Pilot and batch implementation. Stages of implementation of research works. Efficiency and evaluation criteria of scientific work. The concept of annual economic effect. Assessment of the effectiveness of the scientist and scientific team.
Assessment methods and criteria: - current control (40%): written reports on laboratory work, practical tasks, oral examination; - final control (60% of exam), testing (50%), oral component (10%).
Recommended books: 1. Birta G. O. Methodology and organization of scientific research: teaching. manual / Gabriella Oleksandrivna Birta, Yuriy Georgiyovych Burgu. - K.: "Center for Educational Literature", 2014. - 142 p. 2. Bochelyuk V.Y. Methodology and organization of scientific research in psychology: teaching. village / V.Y. Bochelyuk, V. V. Bochelyuk - K.: Center for Educational Literature, 2008. - 360 p. 3. HoncharenkoS. U. Pedagogical research. Methodological advice to young scientists / Semyon Ustymovych Honcharenko. - Kyiv-Vinnytsia: DoV "Vinnytsia", 2008. - 278 p. 4. Kovalchuk V.V. Fundamentals of scientific research: study guide / V.V. Kovalchuk, L.M. Moiseev. - 3rd ed., revised. and added - K.: VD "Professional", 2005. - 240 p. 5. Kolesnikov O. V. Fundamentals of scientific research: academic. guide./ Oleksandr Volodymyrovych Kolesnikov. - K.: Center of Educational Literature, 2011. - 144 p. 6. Krushelnytska O.V. Methodology and organization of scientific research / O. V. Krushelnytska. - K.: Condor, 2006. - 206 p. 7. Fundamentals of methodology and organization of scientific research: teaching. manual for students, cadets, graduate students and adjuncts / edited by A. E. Konverskyi. - K.: Center of Educational Literature, 2010. - 352 p. 8. Pyatnytska-Pozdniakova I. S. Fundamentals of scientific research in higher education: teaching. manual / I. Pyatnytska-Pozdniakova. - K.: [b.v.], 2003. - 116 p. 9. Sergienko L.P. Fundamentals of scientific research in psychology: qualification and diploma theses [teaching manual] / Leonid Prokopovich Sergienko. - K.: Publishing house "Professional", 2009. - 240 p.