Ви переглядаєте архівну версію офіційного сайту НУЛП (2005-2020р.р.). Актуальна версія: https://lpnu.ua

Artificial Intelligence in Gaming Applications

Major: Computer Sciences
Code of Subject: 7.122.04.E.78
Credits: 5
Department: Artificial Intelligence Systems
Lecturer: Shakhovska N.
Semester: 2 семестр
Mode of Study: денна
Learning outcomes:
1. Possession of advanced professional-profile knowledge and practical skills for optimizing the design of information systems of any complexity, for solving specific tasks of designing intelligent information systems for managing objects of various physical nature.
2. Understanding the principles and methods for analyzing and evaluating the range of tasks that contribute to the further development of the effective use of information resources of decision-making systems.
3. Obtaining knowledge for the ability to evaluate existing technologies and, based on the analysis, formulate requirements for the development of promising information technologies.
4. Knowledge and skills to carry out effective communicative activities of the team working on the development of the information system project.
5. Knowledge and skills of building a model of information flows, designing a repository and data space, knowledge base, using charting techniques and standards for the development of information systems.
6. Ability to have sufficient knowledge on research and identification of problems of the customer and their registration in the form of requirements, with the further finding of the most effective their solution.
7. Ability to use different tools and strategies related to the diagnosis and analysis of various types of complex managerial problems at a level that will enable their employment in scientific institutions, the ability to effectively use in practice the theoretical concepts of scientific management and business administration.
Required prior and related subjects:
Systems of artificial intelligence
Intellectual data analysis
Summary of the subject:
Alpha-beta algorithm and algorithm A * Group mind: an ant algorithm Classification, clustering Deep Neural Networks Genetic Algorithms
Recommended Books:

Introduction to Artificial Intelligence на Udacity (курс ведуть Пітер Норвіг – автор вище зазначеної книги та голова дослідницького підрозділу Google, та Себастіан Тран – засновник Udacity)
Artificial Intelligence for Robotics на Udacity (курс веде Себастіан Тран – засновник Udacity та один з головних розробників самокерованих роботів від Google)
Artificial Intelligence на EdX (курс багато в чому повторює структури книги “Штучний інтелект. Сучасний підхід”)
Artificial Intelligence Planning на Coursera (курс детально розповідає про один з розділів книги “Штучний інтелект. Сучасний підхід” – Планування)
Assessment methods and criteria:
laboratory works - 40
practical work - 10
written component - 40
oral component – 10

Artificial Intelligence in Gaming Applications (курсова робота)

Major: Computer Sciences
Code of Subject: 7.122.04.E.79
Credits: 2
Department: Artificial Intelligence Systems
Lecturer: Shakhovska N.
Semester: 2 семестр
Mode of Study: денна
Learning outcomes:
1. Possession of advanced professional-profile knowledge and practical skills for optimizing the design of information systems of any complexity, for solving specific tasks of designing intelligent information systems for managing objects of various physical nature.
2. Understanding the principles and methods for analyzing and evaluating the range of tasks that contribute to the further development of the effective use of information resources of decision-making systems.
3. Obtaining knowledge for the ability to evaluate existing technologies and, based on the analysis, formulate requirements for the development of promising information technologies.
4. Knowledge and skills to carry out effective communicative activities of the team working on the development of the information system project.
5. Knowledge and skills of building a model of information flows, designing a repository and data space, knowledge base, using charting techniques and standards for the development of information systems.
6. Ability to have sufficient knowledge on research and identification of problems of the customer and their registration in the form of requirements, with the further finding of the most effective their solution.
7. Ability to use different tools and strategies related to the diagnosis and analysis of various types of complex managerial problems at a level that will enable their employment in scientific institutions, the ability to effectively use in practice the theoretical concepts of scientific management and business administration.
Required prior and related subjects:
Systems of artificial intelligence
Intellectual data analysis
Summary of the subject:
Alpha-beta algorithm and algorithm A * Group mind: an ant algorithm Classification, clustering Deep Neural Networks Genetic Algorithms
Recommended Books:
Introduction to Artificial Intelligence на Udacity (курс ведуть Пітер Норвіг – автор вище зазначеної книги та голова дослідницького підрозділу Google, та Себастіан Тран – засновник Udacity)
Artificial Intelligence for Robotics на Udacity (курс веде Себастіан Тран – засновник Udacity та один з головних розробників самокерованих роботів від Google)
Artificial Intelligence на EdX (курс багато в чому повторює структури книги “Штучний інтелект. Сучасний підхід”)
Artificial Intelligence Planning на Coursera (курс детально розповідає про один з розділів книги “Штучний інтелект. Сучасний підхід” – Планування)
Assessment methods and criteria:
course work - 100