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Innovative Information Technology
Major: Computer Sciences
Code of Subject: 7.122.00.O.1
Credits: 7
Department: Automated Control Systems
Lecturer:
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
Required prior and related subjects:
Summary of the subject:
Recommended Books:
Assessment methods and criteria:
Innovative Information Technology
Major: Computer Sciences
Code of Subject: 7.122.00.O.2
Credits: 7
Department: Computer-Aided Design
Lecturer:
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
Required prior and related subjects:
Summary of the subject:
Recommended Books:
Assessment methods and criteria:
Innovative Information Technology
Major: Computer Sciences
Code of Subject: 7.122.00.O.3
Credits: 7
Department: Artificial Intelligence Systems
Lecturer:
Kaminsky R.M
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
1.Use acquired knowledge to formulate optimization tasks for creation computer decision-making systems.
2. Apply software packages to create optimization tasks.
3. Use acquired knowledge for mining with the help of
evolutionary methods and algorithms.
4. To form knowledge and practical skills to use basic methods
solving mathematical programming problems to solve acceptance problems
solutions.
5. Provide a single methodological basis for the interaction of the course Mathematical Research Methods
operations and other subject disciplines.
6. Have an idea of ??the state and prospects of mathematical programming and their development
Software.
7. Analyze the data.
2. Apply software packages to create optimization tasks.
3. Use acquired knowledge for mining with the help of
evolutionary methods and algorithms.
4. To form knowledge and practical skills to use basic methods
solving mathematical programming problems to solve acceptance problems
solutions.
5. Provide a single methodological basis for the interaction of the course Mathematical Research Methods
operations and other subject disciplines.
6. Have an idea of ??the state and prospects of mathematical programming and their development
Software.
7. Analyze the data.
Required prior and related subjects:
Інтелектуальний аналіз даних
Методи та засоби інтеграції даних
Візуалізація даних
Теорія прийняття рішень
Методи та засоби інтеграції даних
Візуалізація даних
Теорія прийняття рішень
Summary of the subject:
The current state of information technology
Conceptual model of information technology
Startup technology
Blockchain technology
Immune technologies
Intellectual technologies
Cognitive technologies
Recommended Books:
Носенко Т.І. Інформаційні технології навчання: начальний посібник / Т.І. Носенко. – К.:
Київ. ун-т ім. Бориса Грінченка, 2011. – 184 c.
3. Нікітін С. О. Основи комп’ютерних ігор та ігрових програм : довідник модуля. / С. О.
Нікітін, Л. О. Нікітіна. – Х. : «Друкарня Мадрид», 2018. – 138 с.
4. Дасгупты Д. Искусственные иммунные системы и их применение / Д. Дасгупты. Пер. с англ.
под ред А.А. Романюхи. – М.: ФИЗМАТЛИТ, 2006. – 344 с.
5. Башмаков А.И. Интеллектуальные информационные технологии: Учеб. Пособие / А.И.
Башмаков, И.А. Башмаков - М.: Изд-во МГТУ им. Н.Э. Баумана, 2005. - 304 с.
6. Егоров В. В. Когнитивные технологии : учеб. пособие / В. В. Егоров. – Минск : БГУИР, 2017.
– 240 с.
7. Аршинов В.И. Социо-антропологические измерения конвергентных технологий.
Методологические аспекты [Текст]: Коллективная монография / В.И. Аршинов, И.А. Асеева,
Буданов В.Г., Гребенщикова Е.Г., Гримов О.А., Каменский Е.Г., Москалев И.Е., С.В.
Пирожкова, М.А. Сущин, В.В. Чеклецов / Отв. ред. И.А. Асеева, В.Г. Буданов. – Курск: ЗАО
«Университетская книга», 2015. – 238 с.
8. Кавасаки Г. Стартап: 11 мастер-классов от экс-евангелиста Арріе и самого дерзкого
венчурного капиталиста Кремниевой долины / Г. Кавасаки; пер. с англ. Е. Корюкиной,
предисл. Д. Яна. — М.: ООО «Юнайтед Пресс», 2010. — 254
Київ. ун-т ім. Бориса Грінченка, 2011. – 184 c.
3. Нікітін С. О. Основи комп’ютерних ігор та ігрових програм : довідник модуля. / С. О.
Нікітін, Л. О. Нікітіна. – Х. : «Друкарня Мадрид», 2018. – 138 с.
4. Дасгупты Д. Искусственные иммунные системы и их применение / Д. Дасгупты. Пер. с англ.
под ред А.А. Романюхи. – М.: ФИЗМАТЛИТ, 2006. – 344 с.
5. Башмаков А.И. Интеллектуальные информационные технологии: Учеб. Пособие / А.И.
Башмаков, И.А. Башмаков - М.: Изд-во МГТУ им. Н.Э. Баумана, 2005. - 304 с.
6. Егоров В. В. Когнитивные технологии : учеб. пособие / В. В. Егоров. – Минск : БГУИР, 2017.
– 240 с.
7. Аршинов В.И. Социо-антропологические измерения конвергентных технологий.
Методологические аспекты [Текст]: Коллективная монография / В.И. Аршинов, И.А. Асеева,
Буданов В.Г., Гребенщикова Е.Г., Гримов О.А., Каменский Е.Г., Москалев И.Е., С.В.
Пирожкова, М.А. Сущин, В.В. Чеклецов / Отв. ред. И.А. Асеева, В.Г. Буданов. – Курск: ЗАО
«Университетская книга», 2015. – 238 с.
8. Кавасаки Г. Стартап: 11 мастер-классов от экс-евангелиста Арріе и самого дерзкого
венчурного капиталиста Кремниевой долины / Г. Кавасаки; пер. с англ. Е. Корюкиной,
предисл. Д. Яна. — М.: ООО «Юнайтед Пресс», 2010. — 254
Assessment methods and criteria:
laboratory work - 40
written examination - 40
oral component - 20
written examination - 40
oral component - 20
Innovative Information Technology (курсова робота)
Major: Computer Sciences
Code of Subject: 7.122.00.O.5
Credits: 2
Department: Publishing Information Technologies
Lecturer: PhD, Associate professor Oleg Riznyk
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
• Be able to develop intelligent components using neural network technology for the evaluation of data from sensors in terms of noise and incomplete information kompresuvannya and recognition of images and scenes.
• Be able to use protections (databases, storage space and data), online analytical processing and intelligent data networking technologies and the development of information management systems and technologies.
• Be able to apply their knowledge and understanding to identify, formulate and solve problems of information control systems and technologies using known methods.
• Be able to apply knowledge to solve problems of analysis and synthesis of information and control systems;
• Be able to think systematically and apply creativity to the formation of innovative ideas in information control systems and technologies.
• Be able to apply knowledge of the technical characteristics of the component information and control systems and technological features of processing different types of information;
• Be able to combine theory and practice, and make decisions and develop a strategy of information control systems and technologies on the basis of human values, social, civil and industrial interests.
• Possession sufficient knowledge in information technology, which will allow the situation to critically analyze information and control systems and technologies and identify key trends of improvement and development;
• Understanding the tools and strategies relevant to the diagnosis and analysis of the development of information management systems and technologies at a level that will allow job specialty, ability to use theoretical knowledge in practice in the creation and implementation of information management systems and technology;
• Theoretical and practical knowledge of information management systems and technology at the newest achievements that are the basis for original thinking and innovation, particularly in the context of research;
• Knowledge of professionally oriented disciplines 122 specialty "Computer science and information technology;
• Gain knowledge that will provide the ability to analyze and critically interpret problems and problems with the development of information management systems and technologies.
• Professional and specialized knowledge requirements for the formulation and development of intelligent control systems and technology, problem-oriented and embedded computer systems, computer systems digital signal processing, evaluating their options and reliability.
• Knowledge and understanding of design methodologies and modernization of information management systems and technologies in accordance with the regulations applicable standards and specifications;
• Obtaining adequate knowledge and understandings relating to 122 specialty "Computer science and information technologies", the scale of which will be sufficient to successfully organize and conduct research on the subject of information control systems and technologies, generate results and represent the profession.
• Be able to use protections (databases, storage space and data), online analytical processing and intelligent data networking technologies and the development of information management systems and technologies.
• Be able to apply their knowledge and understanding to identify, formulate and solve problems of information control systems and technologies using known methods.
• Be able to apply knowledge to solve problems of analysis and synthesis of information and control systems;
• Be able to think systematically and apply creativity to the formation of innovative ideas in information control systems and technologies.
• Be able to apply knowledge of the technical characteristics of the component information and control systems and technological features of processing different types of information;
• Be able to combine theory and practice, and make decisions and develop a strategy of information control systems and technologies on the basis of human values, social, civil and industrial interests.
• Possession sufficient knowledge in information technology, which will allow the situation to critically analyze information and control systems and technologies and identify key trends of improvement and development;
• Understanding the tools and strategies relevant to the diagnosis and analysis of the development of information management systems and technologies at a level that will allow job specialty, ability to use theoretical knowledge in practice in the creation and implementation of information management systems and technology;
• Theoretical and practical knowledge of information management systems and technology at the newest achievements that are the basis for original thinking and innovation, particularly in the context of research;
• Knowledge of professionally oriented disciplines 122 specialty "Computer science and information technology;
• Gain knowledge that will provide the ability to analyze and critically interpret problems and problems with the development of information management systems and technologies.
• Professional and specialized knowledge requirements for the formulation and development of intelligent control systems and technology, problem-oriented and embedded computer systems, computer systems digital signal processing, evaluating their options and reliability.
• Knowledge and understanding of design methodologies and modernization of information management systems and technologies in accordance with the regulations applicable standards and specifications;
• Obtaining adequate knowledge and understandings relating to 122 specialty "Computer science and information technologies", the scale of which will be sufficient to successfully organize and conduct research on the subject of information control systems and technologies, generate results and represent the profession.
Required prior and related subjects:
Сo-requisites:
• Mathematical methods of knowledge representation
• Neural network adaptive systems and components
• Mathematical methods of knowledge representation
• Neural network adaptive systems and components
Summary of the subject:
1. The purpose of the study and structure of the course "Innovative inforomatsiyni technology."
1.1. Basic concepts.
1.2. Literature for work on a separate course.
2. Avtomatyzatsiya cluster analysis in innovation.
2.1. Cluster analysis.
2.2. Areas of use cluster analysis.
3.Avtomatyzatsiya factor analysis in innovation.
3.1. The main purpose of factor analysis. 3.2.Holovna purpose of factor analysis.
4.Avtomatyzatsiya optimization modeling in innovation.
4.1. Stage econometric study:
4.1.1 formulations muvanoyi-supported hypothesis;
4.1.2. supported the hypothesis testing;
4.1.3. solution based on specific criteria or evaluation are satisfactory and reliable;
4.1.4. to determine the suitability of the model predictions.
5. Avtomatyzatsiya of simulation in innovation.
5.1. Simulation.
5.2. A simulation model.
5.3. Applications simulations.
5.4. Methods of simulation
6. Automation forecasting innovation.
6.1. Prognostication.
6.2. Stage forecasting process:
6.2.1. Formulation of job development forecasts;
6.2.2. Prediction object;
6.2.3. Verification.
6.4. Classification of forecasts.
Recommended Books:
• Тоцька О. Л. Інформаційні системи в інноваційній діяльності : [зб. тестів] / О. Л. Тоцька. – Луцьк : Волин. нац. ун-т ім. Лесі Українки, 2010. – 64 с.
• Тоцька О. Л. Інформаційні системи в інноваційній діяльності : [навч. посіб. для студ. вищ. навч. закл.] / О. Л. Тоцька. – Луцьк : Волин. нац. ун-т ім. Лесі Українки, 2010. – 184 с.
• Тюрин Ю. Н. Анализ данных на компьютере / Ю. Н. Тюрин, А. А. Макаров ; под ред. В. Э. Фигурнова. – 3-е изд., перераб. и доп. – М. : ИНФРА-М, 2003. – 544 с., ил.
• Тоцька О. Л. Інформаційні системи в інноваційній діяльності : [навч. посіб. для студ. вищ. навч. закл.] / О. Л. Тоцька. – Луцьк : Волин. нац. ун-т ім. Лесі Українки, 2010. – 184 с.
• Тюрин Ю. Н. Анализ данных на компьютере / Ю. Н. Тюрин, А. А. Макаров ; под ред. В. Э. Фигурнова. – 3-е изд., перераб. и доп. – М. : ИНФРА-М, 2003. – 544 с., ил.
Assessment methods and criteria:
written reports on laboratory work, oral examination (40%)
final control (control measure), written-oral form (60%)
final control (control measure), written-oral form (60%)
Innovative Information Technology (курсова робота)
Major: Computer Sciences
Code of Subject: 7.122.00.O.6
Credits: 2
Department: Computer-Aided Design
Lecturer:
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
Required prior and related subjects:
Summary of the subject:
Recommended Books:
Assessment methods and criteria:
Innovative Information Technology (курсова робота)
Major: Computer Sciences
Code of Subject: 7.122.00.O.7
Credits: 2
Department: Artificial Intelligence Systems
Lecturer:
Kaminsky R.M
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
1.Use acquired knowledge to formulate optimization tasks for creation computer decision-making systems.
2. Apply software packages to create optimization tasks.
3. Use acquired knowledge for mining with the help of
evolutionary methods and algorithms.
4. To form knowledge and practical skills to use basic methods
solving mathematical programming problems to solve acceptance problems
solutions.
5. Provide a single methodological basis for the interaction of the course Mathematical Research Methods
operations and other subject disciplines.
6. Have an idea of ??the state and prospects of mathematical programming and their development
Software.
7. Analyze the data.
2. Apply software packages to create optimization tasks.
3. Use acquired knowledge for mining with the help of
evolutionary methods and algorithms.
4. To form knowledge and practical skills to use basic methods
solving mathematical programming problems to solve acceptance problems
solutions.
5. Provide a single methodological basis for the interaction of the course Mathematical Research Methods
operations and other subject disciplines.
6. Have an idea of ??the state and prospects of mathematical programming and their development
Software.
7. Analyze the data.
Required prior and related subjects:
Інтелектуальний аналіз даних
Методи та засоби інтеграції даних
Візуалізація даних
Теорія прийняття рішень
Методи та засоби інтеграції даних
Візуалізація даних
Теорія прийняття рішень
Summary of the subject:
The current state of information technology
Conceptual model of information technology
Startup technology
Blockchain technology
Immune technologies
Intellectual technologies
Cognitive technologies
Recommended Books:
Носенко Т.І. Інформаційні технології навчання: начальний посібник / Т.І. Носенко. – К.:
Київ. ун-т ім. Бориса Грінченка, 2011. – 184 c.
3. Нікітін С. О. Основи комп’ютерних ігор та ігрових програм : довідник модуля. / С. О.
Нікітін, Л. О. Нікітіна. – Х. : «Друкарня Мадрид», 2018. – 138 с.
4. Дасгупты Д. Искусственные иммунные системы и их применение / Д. Дасгупты. Пер. с англ.
под ред А.А. Романюхи. – М.: ФИЗМАТЛИТ, 2006. – 344 с.
5. Башмаков А.И. Интеллектуальные информационные технологии: Учеб. Пособие / А.И.
Башмаков, И.А. Башмаков - М.: Изд-во МГТУ им. Н.Э. Баумана, 2005. - 304 с.
6. Егоров В. В. Когнитивные технологии : учеб. пособие / В. В. Егоров. – Минск : БГУИР, 2017.
– 240 с.
7. Аршинов В.И. Социо-антропологические измерения конвергентных технологий.
Методологические аспекты [Текст]: Коллективная монография / В.И. Аршинов, И.А. Асеева,
Буданов В.Г., Гребенщикова Е.Г., Гримов О.А., Каменский Е.Г., Москалев И.Е., С.В.
Пирожкова, М.А. Сущин, В.В. Чеклецов / Отв. ред. И.А. Асеева, В.Г. Буданов. – Курск: ЗАО
«Университетская книга», 2015. – 238 с.
8. Кавасаки Г. Стартап: 11 мастер-классов от экс-евангелиста Арріе и самого дерзкого
венчурного капиталиста Кремниевой долины / Г. Кавасаки; пер. с англ. Е. Корюкиной,
предисл. Д. Яна. — М.: ООО «Юнайтед Пресс», 2010. — 254
Київ. ун-т ім. Бориса Грінченка, 2011. – 184 c.
3. Нікітін С. О. Основи комп’ютерних ігор та ігрових програм : довідник модуля. / С. О.
Нікітін, Л. О. Нікітіна. – Х. : «Друкарня Мадрид», 2018. – 138 с.
4. Дасгупты Д. Искусственные иммунные системы и их применение / Д. Дасгупты. Пер. с англ.
под ред А.А. Романюхи. – М.: ФИЗМАТЛИТ, 2006. – 344 с.
5. Башмаков А.И. Интеллектуальные информационные технологии: Учеб. Пособие / А.И.
Башмаков, И.А. Башмаков - М.: Изд-во МГТУ им. Н.Э. Баумана, 2005. - 304 с.
6. Егоров В. В. Когнитивные технологии : учеб. пособие / В. В. Егоров. – Минск : БГУИР, 2017.
– 240 с.
7. Аршинов В.И. Социо-антропологические измерения конвергентных технологий.
Методологические аспекты [Текст]: Коллективная монография / В.И. Аршинов, И.А. Асеева,
Буданов В.Г., Гребенщикова Е.Г., Гримов О.А., Каменский Е.Г., Москалев И.Е., С.В.
Пирожкова, М.А. Сущин, В.В. Чеклецов / Отв. ред. И.А. Асеева, В.Г. Буданов. – Курск: ЗАО
«Университетская книга», 2015. – 238 с.
8. Кавасаки Г. Стартап: 11 мастер-классов от экс-евангелиста Арріе и самого дерзкого
венчурного капиталиста Кремниевой долины / Г. Кавасаки; пер. с англ. Е. Корюкиной,
предисл. Д. Яна. — М.: ООО «Юнайтед Пресс», 2010. — 254
Assessment methods and criteria:
course work - 100