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Course Syllabus

Bachelor 2021/2022

Modeling of Processes and Systems

Type: Compulsory course (Business Informatics)
Area of studies: Business Informatics
Delivered by: Department of Information Technologies in Business
Where: Faculty of Management
When: 3 year, 1-4 module
Mode of studies: offline
Open to: students of one campus
Instructors: Aleksei Leonidovich Chadov, Lyudmila N. Lyadova, Irina Iosifovna Zaharova
Language: English
ECTS credits: 8
Contact hours: 92

Course Syllabus

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Abstract

The objectives of the discipline are determined by the educational standard, focused on obtaining theoretical knowledge and practical skills, competencies in the analysis and modeling of processes and systems that allow the graduate to successfully work in the field of designing the architecture of the enterprise, strategic development planning, organization of life cycle processes of information systems (IS) and information and communication technologies (ICT) enterprise management, analytical support of decision-making processes in the management of the enterprise. The graduate should possess universal and professional competences promoting his social mobility and stability in the labor market.
Learning Objectives

Learning Objectives

  • Search, collection, processing, analysis and systematization of information in economy, management and ICT.
  • Survey of activities and IT infrastructure of enterprises.
Expected Learning Outcomes

Expected Learning Outcomes

  • Gains insight into the use of process models and probabilistic model systems (SPM) for formal description and analysis. It is able to use graphical models for formal description and analysis of processes and systems (Petri nets:).
  • Has an idea of possibilities of means of automation of construction and analysis of models of business processes at survey of activity and an IT infrastructure of the enterprises Has an idea of possibilities of the various tool means applied at IS working out with use of visual models (graphic notations)
  • Has an idea of the simulation modeling method and its application in solving professional problems. Can develop simulation models using existing simulation tools. Is able to plan simulation experiments and interpret their results Has an understanding of the possibilities of modern simulation systems and trends in the development of simulation methods
  • Modeling of processes and systems with use of various methodological approaches at the decision of professional problems of survey of activity and an IT infrastructure of the enterprises, at designing of information systems. Is able to build formal models of business processes in notations BPMN, EPC. Has skills of analysis of subject areas and construction of ontological models.
Course Contents

Course Contents

  • Section 1: Modeling in the lifecycle of information systems
  • Section 2: Mathematical modelling and analysis of processes and systems
  • Section 3: Process and system model development and analysis tools
  • Section 4: Simulation modeling of processes and systems
Assessment Elements

Assessment Elements

  • non-blocking Laboratory work: model development
  • non-blocking Homework (self-study): Subject-oriented modeling
  • non-blocking Homework (self-study)
  • non-blocking Laboratory work: Analytical modeling of processes and systems
  • non-blocking Abstract (independent work)
  • non-blocking Laboratory work: Studying the capabilities of the GPSS simulation system
  • non-blocking Homework (independent work): Study of the possibilities of the simulation system
  • non-blocking Abstract (self-study): analytical review of simulation tools
  • non-blocking Exam (module 1,2)
    Для студентов, выполнивших все проекты, предусмотренные программой дисциплины, на оценки не ниже «хорошо» (6-7 баллов), оценка за экзамен формируется по накопленной оценке, формула для расчёта которой приведена в программе дисциплины. Если по результатам оценки отчётов о выполнении проектов и контрольной работы, получены более низкие оценки («удовлетворительно» или «неудовлетворительно») или работы не были выполнены, студент должен сдать экзамен. Экзамен проводится без использования прокторинга в форме письменной работы (эссе) по темам курса, по которым не были выполнены указанные выше требования (вопросы и задания определяются для каждого студента индивидуально, в зависимости от результатов выполнения проектов в течение всего времени изучения дисциплины). Отчёт о выполнении работы загружается в LMS в установленное для проведения экзамена время.
  • non-blocking Exam (module 3,4)
  • non-blocking Laboratory work: model development
  • non-blocking Homework (self-study): Subject-oriented modeling
  • non-blocking Homework (self-study)
  • non-blocking Laboratory work: Analytical modeling of processes and systems
  • non-blocking Abstract (independent work)
  • non-blocking Laboratory work: Studying the capabilities of the GPSS simulation system
  • non-blocking Homework (independent work): Study of the possibilities of the simulation system
  • non-blocking Abstract (self-study): analytical review of simulation tools
  • non-blocking Exam (module 1,2)
  • non-blocking Exam (module 3,4)
  • non-blocking Seminar activities
  • non-blocking Self-study students’ work
  • non-blocking Test
Interim Assessment

Interim Assessment

  • 2021/2022 2nd module
    0.1 * Homework (self-study) + 0.1 * Homework (self-study): Subject-oriented modeling + 0.4 * Laboratory work: Studying the capabilities of the GPSS simulation system + 0.2 * Laboratory work: model development + 0.1 * Laboratory work: Analytical modeling of processes and systems + 0.1 * Abstract (independent work)
  • 2021/2022 4th module
    0.2 * Seminar activities + 0.35 * Test + 0.1 * Self-study students’ work + 0.35 * Exam (module 3,4)
Bibliography

Bibliography

Recommended Core Bibliography

  • Боев В. Д. - ИМИТАЦИОННОЕ МОДЕЛИРОВАНИЕ СИСТЕМ. Учебное пособие для прикладного бакалавриата - М.:Издательство Юрайт - 2019 - 253с. - ISBN: 978-5-534-04734-9 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/imitacionnoe-modelirovanie-sistem-438785
  • Под ред. Мхитаряна В.С. - АНАЛИЗ ДАННЫХ. Учебник для академического бакалавриата - М.:Издательство Юрайт - 2019 - 490с. - ISBN: 978-5-534-00616-2 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/analiz-dannyh-432178
  • Черткова Е. А. - ПРОГРАММНАЯ ИНЖЕНЕРИЯ. ВИЗУАЛЬНОЕ МОДЕЛИРОВАНИЕ ПРОГРАММНЫХ СИСТЕМ 2-е изд., испр. и доп. Учебник для академического бакалавриата - М.:Издательство Юрайт - 2019 - 147с. - ISBN: 978-5-534-09172-4 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/programmnaya-inzheneriya-vizualnoe-modelirovanie-programmnyh-sistem-437536

Recommended Additional Bibliography

  • Моделирование и виртуальное прототипирование: Учебное пособие / И.И. Косенко, Л.В. Кузнецова, А.В. Николаев. - М.: Альфа-М: ИНФРА-М, 2012. - 176 с.: 60x90 1/16. - (Технологический сервис). (переплет) ISBN 978-5-98281-280-3 - Режим доступа: http://znanium.com/catalog/product/254463
  • Моделирование систем и процессов: Учебное пособие / Н.Г. Чикуров. - М.: ИЦ РИОР: НИЦ Инфра-М, 2013. - 398 с.:- (Высшее образование: Бакалавриат). - Режим доступа: http://znanium.com/catalog/product/392652
  • Моделирование экономических систем и процессов: Учебное пособие / М.П. Власов, П.Д. Шимко. - М.: НИЦ ИНФРА-М, 2013. - 336 с.: 60x90 1/16. - (Высшее образование: Бакалавриат). (переплет) ISBN 978-5-16-005560-2 - Режим доступа: http://znanium.com/catalog/product/344989

Authors

  • CHADOV ALEKSEY LEONIDOVICH
  • LYADOVA LYUDMILA NIKOLAEVNA