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IT-project Management
Major: System Analysis
Code of subject: 6.124.00.O.036
Credits: 4.00
Department: Information Systems and Networks
Lecturer: Doctor of Philosophy, Assistant Roman Romanovych Bihun
Semester: 6 семестр
Mode of study: денна
Завдання: The study of the course involves the formation and development of the following competencies in the student:
• Integral competency: ability to solve complex specialized tasks and practical problems of systems analysis in professional activities or during learning, which involve the application of theoretical principles and methods of systems analysis and information technology, characterized by complexity and uncertainty of conditions.
• General competencies:
- K01. Ability to think abstractly, analyze, and synthesize.
- K02. Ability to apply knowledge in practical situations.
- K03. Ability to plan and manage time.
- K04. Knowledge and understanding of the subject area and understanding of professional activity.
- K05. Ability to communicate in the state language, both orally and in writing.
- K06. Ability to communicate in a foreign language.
- K09. Ability to adapt and act in new situations.
- K14. Ability to assess and ensure the quality of work performed.
- K15. Ability to exercise rights and duties as a member of society, understand the values of a civil (free and democratic) society, and the need for sustainable development, the rule of law, and human rights and freedoms in Ukraine.
- K16. Ability to preserve and enhance moral, cultural, and scientific values and achievements of society based on an understanding of the history and patterns of development of the subject area, its place in the general system of knowledge about nature and society, and the development of society, technology, and technologies, as well as using various types and forms of physical activity for active rest and maintaining a healthy lifestyle.
• Professional competencies:
K17. Ability to use systems analysis as a modern interdisciplinary methodology based on applied mathematical methods and modern information technologies, aimed at solving problems of analysis and synthesis of technical, economic, social, environmental, and other complex systems.
K21. Ability to formulate optimization problems when designing management and decision-making systems, specifically: mathematical models, optimality criteria, constraints, and control objectives; choose rational methods and algorithms for solving optimization and optimal control problems.
K22. Ability to perform computer implementation of mathematical models of real systems and processes; design, apply, and support software tools for modeling, decision-making, optimization, information processing, and data mining.
K23. Ability to use modern information technologies for computer implementation of mathematical models and forecasting the behavior of specific systems, specifically: object-oriented approach in designing complex systems of various natures, applied mathematical packages, and use of databases and knowledge.
K24. Ability to organize work on the analysis and design of complex systems, creation of appropriate information technologies, and software.
Learning outcomes: PR07. Understand the basics of optimization theory, optimal control, and decision theory, and be able to apply them in practice to solve applied problems in the management and design of complex systems.
PR08. Possess modern methods of software and software complex development, and make optimal decisions regarding software composition, algorithms of procedures, and operations.
PR10. Know the architecture of modern computing systems and computer networks.
PR13. Design, implement, test, deploy, maintain, and operate software tools for working with data and knowledge in computer systems and networks.
Required prior and related subjects: Previous courses:
- Information Systems Design.
- Computational Methods and Data Visualization.
Related and subsequent courses:
- Decision Theory.
- Requirements Management in IT Projects.
- Cloud Services.
Summary of the subject: The knowledge gained during the study of this course is based on modern scientific achievements in the field of project management and takes into account the current state of information technology. The main focus is on preparing students to work in the field of information technology, applying modern methodologies and tools for project management, planning, and control. Special attention is given to the development of practical skills in managing resources, risks, timelines, and budgets in real IT projects.
Upon completion of the course, a specialist should be knowledgeable about modern methodologies, methods, and standards of IT project management. They should understand the mathematical models and optimization methods used for managing resources and timelines, and be familiar with the tools and methods for their practical application.
A trained specialist should be able to effectively define tasks related to the description of IT projects and their structural organization, transform these tasks into formal mathematical models, develop these models, and implement them using available tools and software. They should also be able to control and analyze the project during its implementation, and efficiently allocate available resources according to current requirements and the progress of the IT project, using modern software tools and technologies.
Опис: Project management basics. Project planning. Project management methodologies. Project execution. Monitoring and reporting. Risk management. Change management. Project cost management. Quality management in IT projects. Stakeholder management. Leadership and communication in project management. IT project closure.
Assessment methods and criteria: Knowledge assessment is conducted through the evaluation of completed laboratory work, a calculation assignment, and an exam (written component – test questions of three levels of complexity, and oral component – questioning).
Критерії оцінювання результатів навчання: • Written reports on laboratory work, oral questioning, calculation assignment (40%).
• Final assessment (control measure, exam): written-oral form (60%).
Порядок та критерії виставляння балів та оцінок: 100–88 points – Grade A ("excellent") is awarded for a high level of knowledge (some inaccuracies are allowed) of the module's learning material, which is contained in the main and additional recommended literature sources, the ability to analyze the studied phenomena in their interrelation and development, and the ability to answer questions clearly, concisely, logically, and consistently, as well as apply theoretical principles in solving practical problems.
87–80 points – Grade B ("very good") is awarded for knowledge of the module's learning material above the average level, including calculations and well-reasoned answers to questions (with a small number of inaccuracies), and the ability to apply theoretical principles in solving practical problems.
79–71 points – Grade C ("good") is awarded for generally correct understanding of the module's learning material, including calculations and reasoned answers to questions, although containing some (insignificant) shortcomings, and the ability to apply theoretical principles in solving practical problems.
70–61 points – Grade D ("satisfactory") is awarded for average knowledge of the module's learning material, poorly reasoned answers, and weak application of theoretical principles in solving practical problems.
60–50 points – Grade E ("sufficient") is awarded for weak knowledge of the module's learning material, inaccurate or poorly reasoned answers, with violations in the sequence of presentation, and weak application of theoretical principles in solving practical problems.
49–26 points – Grade FX ("unsatisfactory" with the possibility of retaking the exam or assessment) is awarded for a lack of knowledge of a significant portion of the module's learning material, significant errors in answering questions, and an inability to apply theoretical principles in solving practical problems.
25–00 points – Grade F ("unsatisfactory" with mandatory repetition of the module) is awarded for a lack of knowledge of ...
Recommended books: 1. Kuzminykh V. O., Taranenko R. A. Basics of IT Project Management [Text]: Study Guide for Bachelor's Degree Students in Specialty 122 "Computer Science" / V. O. Kuzminykh, R. A. Taranenko; [Ed. V. G. Slipchenko]; National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute". – Kharkiv: KPI named after Igor Sikorsky: Polytechnic, 2019. – 75 p.
2. Pryimak V. M. Project Management: Study Guide / Vasyl Pryimak. – Kyiv: Taras Shevchenko National University of Kyiv, 2017. – 459 p.
3. Project Management: Study Guide [for university students] / [P. P. Mykytiuk et al.]; edited by Doctor of Economic Sciences, Prof. P. P. Mykytiuk; Ternopil National Economic University. – Ternopil: TNEU, 2017. – 319 p.
4. Higney J. Basics of Project Management / Translated by Yaroslav Mashiko. – Kharkiv: Fabula, 2020. – 272 p. ISBN 9786170964991.
5. Katrenko A. V. IT Project Management: Textbook / A. V. Katrenko; scientific editor Doctor of Technical Sciences, Prof. V. V. Pasichnyk. – Lviv: Novyi Svit – 2000, 2011. – (Computing). Book 1: Standards, Models, and Methods of Project Management. – 2011. – 549 p.
6. A Guide to the Project Management Body of Knowledge (PMBOK Guide). 7th ed. – Project Management Institute, 2021. – 274 p. ISBN 1628256648.
Академічна доброчесність: The policy regarding academic integrity of participants in the educational process is based on adherence to the principles of academic integrity, taking into account the norms of the "Regulations on Academic Integrity at the National University 'Lviv Polytechnic'" (approved by the Academic Council of the University on June 20, 2017, protocol No. 35).