For applicants For learners For teachers For Heads of Departments For Deans Electronic administration Documentolog Қаз Рус Eng
Подать заявку на заселение в общежитие
Non-profit limited company
"Manash Kozybayev
North Kazakhstan university"
larger

EP "Information Systems" 6В06102 Module 24: Artificial Intelligence Systems (Elective Module 6, EM6)

Module 24: Artificial Intelligence Systems (Elective Module 6, EM6)

Code

M24IS(Ba)

Module Elements

Elective Subjects

Information Technologies in Accounting
Three-Dimensional Simulation and Flash Technologies
Simulation of Information Processes and Systems
Protocols and Interfaces of Information Systems
Technical Design Tools and Interactive Graphics Systems
Knowledge Representation Model in Information Systems
Mobile technologies and applications
Artificial Intelligence Systems
Intelligent Information Systems
Work Experience Internship 2

Semester Number:

6

Person responsible for the module

V.P. Kulikov

Lecturer:

Information Technologies in Accounting – V.P. Kulikov
Three-Dimensional Simulation and Flash Technologies – N.V. Astapenko
Simulation of Information Processes and Systems – T.V. Pyatkova
Protocols and Interfaces of Information Systems – V.P. Kulikov
Technical Design Tools and Interactive Graphics Systems – T.V. Pyatkova
Knowledge Representation Model in Information Systems – V.P. Kulikova
Mobile technologies and applications– V.P. Kulikov
Artificial Intelligence Systems – V.P. Kulikova
Intelligent Information Systems– V.P. Kulikov
Work Experience Internship 2 – Y.V. Kukharenko

Language:

Russian, Kazakh

Curriculum relation:

Information Systems (Ba)

Type of teaching / number of hours per week and per semester :

6 semester: hours per week – 32 (lectures -3; labs-9; independent work of students -20); hours per semester – 600.

Workload:

Teaching Load: 180 hours
Extracurricular Classes: 300 hours
Work experience internship 2 - 120
Total: 600 hours

Credit Points:

20 ECTS

Conditions for Examinations:

For admission to the exam, the student must score at least 50 points out of 100 available for the subject

Recommended Conditions:

This module is based on the knowledge gained by students in the course of the previous undergraduate subjects: Automation of Financial Activities, Multimedia Technology and Animation Graphics, Profound Language Learning. System Analysis and System Analysis and Simulation, Profound Language Learning.

Expected Learning Outcomes:

Know theoretical basics of building the system interfaces, models and structures of information networks.Know the basic principles of managing mobile information systems; basic approaches, methods and models of mobile systems, relevant protocols and interfaces of mobile information systems; approaches to the presentation of user interfaces (UX / UI); technologies for working with dynamic content of mobile spectrum software products. Know the classification of AIS, models of knowledge representation, output solutions and communication models in AIS; structure and application of neural networks; theoretical and practical aspects of obtaining, formalization and structuring of problem knowledge; basic concepts of fuzzy sets; architecture, principles of construction and operation of expert systems; classification of IIS, models of knowledge representation, output solutions and models of communication in IIS ; the structure and application of neural networks; theoretical and practical aspects of obtaining, formalization and structuring of problem knowledge; basic concepts of fuzzy sets; architecture, principles of construction and functioning of expert systems.

Be able to work with the solutions of the main software manufacturers for the design and development of protocols and interfaces, develop and maintain information and communication systems and networks.Be able to use a systematic approach in the study, design and development of mobile IS interfaces; apply the studied approaches, methods and models of mobile interfaces in practice; economically (statistically) and ergonomically substantiate solutions in the field of interfaces of mobile information systems; navigate the software and hardware and apply it in solving professional tasks of the mobile spectrum. Be able to use elements of fuzzy sets for mathematical formalization of initial information about the studied real situation or decision-making process. Have the skills to configure the program to automate the unique needs for accounting, specific to a particular enterprise; application of IT and mathematical models used in the analysis of systems of different nature, in the planning and forecasting in various areas of human economic activity. Have the skills to use existing standards and certification systems in practice; determine and measure the cost of quality with the achieved level of quality; solving problems related to the use and prospects of mobile information technologies for input, storage, processing, transmission and publication of digital information, incl. for products on a personal computer/mobile device and wide area/wireless computer networks.

Possess the skills to possess the skills of the basic techniques of building fuzzy ES; formalization and structuring of problem knowledge.

Demonstrate the ability to use the process of structuring the object of animation and algorithmization of tasks of animation systems; creating models of animation systems of different categories of objects and how to edit and modify them.Demonstrate the ability to work with mobile information processing software; storage and demonstration of dynamic content of mobile spectrum software products. Demonstrate the ability to understand the wide range of problems associated with the use and prospects of using AIS.

Intendend use/applicability

Modules: Information Systems Software

Content:

1.Information Technologies in Accounting.

Within this subject, students are expected to master the basics of accounting, initially focusing on its computer form, to master the work in the accounting program 1C: Enterprise, to show ways to improve computer accounting, constantly based on the results achieved, to get a fairly complete picture of the real technology of accounting using modern computer technology and accounting software.

2.Three-Dimensional Simulation and Flash Technologies.

Fundamentals of computer modeling. Fundamentals of threedimensional graphics and animation. Conceptual basis of object modeling. Methods of imaging a scene. Conceptual foundations of animation. Basic animation methods.

3. Simulation of Information Processes and Systems Simulation random patterns.

Simulation of random events. Simulation of random vectors. Simulation of random processes and threads. Identification of random patterns. Queueing system. Organization of simulation modeling. Simulation of systems with unreliable elements. Aggregate modeling. Simulation modeling of economic organizational systems.

4.Protocols and Interfaces of Information Systems

Formation of students' whole picture of the basics of analysis, selection and operation, as well as the development of protocols and interfaces of information systems. The susbject is devoted to teaching students the introduction of protocols and interfaces of information systems, types of user interfaces and stages of development, models, quality criteria of the user interface, the processes of designing the graphical interface, the development of dialogues and the main components of graphical user interfaces, typical solutions for the implementation of digital interfaces, service-oriented and serial interfaces, SOAP protocols, application programming interfaces, protocols of remote access systems.

5. Technical Design Tools and Interactive Graphics Systems

The subject is devoted to teaching students the concepts, technologies, multimedia, classes of multimedia systems and types of multimedia products, multimedia software, script, its category, interactive development; animation, types and means of creating animation, dynamic simulation of 3D objects, functions and capabilities of 3D programs; the basics of digital audio, audio file formats, audio editors; video recording, basics of digital video, software for working with video.

6. Knowledge Representation Model in Information Systems

The subject is devoted to teaching students the basic concepts of knowledge engineering, general information on knowledge, classification of knowledge, characteristics of knowledge and distinction of knowledge from data, models of knowledge representation and their types, basic concepts of logic statements and predicate logic, axiomatic approach to the organization of logical inference, logical programming, Frame, network, production models of knowledge representation, presentation of inaccurate and fuzzy knowledge, fuzzy sets and their connection with the intelligent systems theory, processing methods, technologies of knowledge acquisition, tools for working with knowledge.

7. Mobile technologies and applications

Classification of mobile devices. Architecture of mobile devices and their components. Java for mobile devices. Programming for OS Android. Features of the iOS ecosystem. Features of developing applications for Windows Phone.

8. Artificial Intelligence Systems.

Mastering the principles of organization and functioning of AIS, as well as practical skills of their design, mastering systematic ideas about the possibilities and areas of use of AIS, their architectural features and means of their creation. Particular attention is paid to the study of methods of obtaining, formalization and structuring of problem knowledge and to storage and use of knowledge in knowledge bases.

9. Intelligent Information Systems.

Basics of intellectualization of information systems for various purposes. Problem areas of artificial intelligence. Models of data and knowledge representation, classification of intelligent systems. Methods of eliminating uncertainty in the presentation of knowledge, their generalization and classification. Problems of computer logic and linguistics. Intellectualization of applied procedures in the subject area - search, management and control. Methodological aspects of expert systems construction. Dialogue systems. 

10. Work Experience Internship 2. Design of intelligent systems for automation of business processes of enterprises.

Examination Form, module mark:

Comprehensive module examination including:

Information Technologies in Accounting / Three-Dimensional Simulation and Flash Technologies / Simulation of Information Processes and Systems – курсовая работа
Protocols and Interfaces of Information Systems / Technical Design Tools and Interactive Graphics Systems / Knowledge Representation Model in Information Systems/ Mobile technologies and applications– computer-based testing
Artificial Intelligence Systems /Intelligent Information Systems – computer-based testing
Work Experience Internship 2 – intership report defence

Technical/Multimedia Facilities:

Multimedia System.
IT room.

Study Materials:

  1. Y. Alexandrova. 1C: Accounting 8.1 from Scratch! Book+Video Course (+CD), Publishing Houser: Luchshiye Knigi, 2015 S. 
  2. A. Aristov. Simulation Simulation of Economic Processes, Yekaterinburg, 2013 
  3. J. Moore, L. Wetherford et al. Economic Simulation in Excel, M-SPb, 2014 
  4. K. E. Erglis. Interfaces of Open Systems. Training course. – M.: Goryachaya Liniya-Telecom, 2009. – 256 p. 
  5.  A. A. Lapin. Interfaces: Selection and Implementation. – M.: Tekhnosfera, 2017. 168 p. 
  6. D. A. Khvorostov. 3D Studio Max + VRay. Environment Design: Textbook / D. A. Khvorostov. - M.: Forum: SRC INFRA-M, 2015. - 272 p. 
  7. V. I. Korneyev. Interactive Graphic Systems. 3rd edition (electronic) M.: BINOM. Laboratoriya znaniy, 2015 
  8. V. A. Morozova, V. I. Pautov. Knowledge Representation in Expert Systems: Textbook / V. A. Morozova, V. I. Pautov - Yekaterinburg: Publishing House of Ural State University, 2017. 120 p. 
  9. N. M. Abdikeyev. Corporation Knowledge Management and Business Reengineering: Textbook / N. M. Abdikeyev, A. D. Kiselyov.-M.: INFRA-M, 2013 - 382 p. Griffiths Don, Griffiths David G85 Head First. Programming for Android. - St. Petersburg: Peter, 2016. - 704 p.
  10. Android NDK Beginner's Guide Second Edition 2015 Discover the native side of Android and inject the power of C/C++ in your applications Sylvain Ratabouil $4.99 HUMAN MACHINE INTERFACE DESIGN Lecture notes Compiled by A. A. Abrosimov, V.V. Zaivy, Samara 2016 95 p. 
  11. Krishna Golden A good interface is an invisible interface. St. Petersburg, Peter, 2016, 256s 
  12. Kirill Egerev “This button needs text: Short and clear about UX writing”: Alpina Publisher; Moscow; 2021 
  13. Laws of UX by Jon Yablonski Copyright © 2020 Jon Yablonski. All rights reserved. Johnson J. Smart Design: Simple Techniques for Designing User Interfaces. St. Petersburg: Peter, 2021. - 224 p.:
  14. Bill Phillips, Chris Stuart, Christine Marsicano, Brian Android Gardner. Programming for professionals. 4th edition. - St. Petersburg: Peter, 2021. - 704 p.: 
  15. Learn Apple HomeKit on iOS A Home Automation Guide for Developers, Designers, and Homeowners[Text Wrap Break]Jesse Feiler, APress* 2016, 137p. 
  16. Apple Device Management: A Unified Theory of Managing Macs, iPads, iPhones, and AppleTVs Charles Edge, Rich Trouton APress* 2020, 768p. 
  17. I. A. Bessmertniy. Artificial Intelligence Systems: Textbook for academic bachelors / I. A. Bessmertniy. – 2nd ed., updated and revised. – M.: Yurayt, 2017. - 130 p.
  18. Y. Borovskaya. Basics of Artificial Intelligence / Y. Borovskaya. – M.: Binom, 2015. – 128 p.
  19. M. V. Burakov. Artificial Intelligence Systems. Textbook / M. V. Burakov. – M.: Prospect, 2017. – 440 p.
  20.  V. B. Kudryavtsev Intelligent Systems: Textbook and Practical Course for undergraduate and graduate / V. B. Kudryavtsev, E. E. Gasanov, A. S. Podkolzin. – 2nd ed., updated and revised; Lomonosov MSU – Moscow: Yurayt, 2017. – 219 p.
  21.  L. N. Yasnitskiy. Introduction to Artificial Intelligence: Textbook / L. N. Yasnitskiy. – Moscow: Akademiya, 2010. – 176 p.

Date of last amendment

20.01.2022

The expected result is according to the module communication matrix, when passing Module 24 of the educational program "Information Systems"

LO2: Know theoretical and experimental research methods, in order to create new promising areas in the field of computer science.
LO4: Possess methods of analysis and evaluation of the effectiveness of information system development, implementation and operation, make technical documentation for the developed information system.
LO5: Analyze the purpose of information in modern society, methods and approaches of information protection and the basic requirements for information security; select the architecture and integration of information systems hardware.
LO6:  Possess programming skills using modern tools.
LO8: Применять методы теоретического и экспериментального исследования, готов участвовать в постановке и проведении экспериментальных исследований, сопоставлять результаты экспериментальных данных и полученных решений
LO9: Работать с аппаратными и программно-аппаратными комплексами информационных систем
LO10: Проектировать информационные системы и их элементы в конкретных областях и адаптирует приложения к условиям функционирования, обеспечивать безопасность и целостность данных информационных систем, поддерживать работоспособность информационных систем в заданных функциональных характеристиках, составлять инструкции по эксплуатации информационных систем.