Management of Scientific Projects

Major: lnformation Systern and Technologies
Code of subject: 8.126.00.M.019
Credits: 3.00
Department: Information Systems and Networks
Lecturer: Professor, Professor of ISN Department, Doctor of social communications Sciences Nataliia Kunanets
Semester: 3 семестр
Mode of study: денна
Мета вивчення дисципліни: To provide graduate students with in-depth theoretical and practical knowledge, skills and understanding for the successful performance of professional duties in the specialty and to prepare graduate students for further study in the chosen specialty. Formation of graduate students in-depth theoretical and practical knowledge of scientific project management, management of information as a strategic resource, application of marketing approaches and tools to it; acquiring skills in managing information flows and processes; acquiring teamwork skills; training on the example of specific real organizations.
Завдання: The study of an educational discipline involves the formation of competencies in students of education: general competences: Ability to abstract thinking, analysis and synthesis. Ability to search, process and analyze information from various sources. Ability to develop and manage projects. professional competences: Ability to perform original research, achieve scientific results that create new knowledge in systems analysis and related interdisciplinary areas and can be published in leading scientific publications in information technology and related fields. The ability to initiate, develop and implement complex innovative projects in data analysis to support decision-making and related interdisciplinary projects, leadership during their implementation. Ability to solve scientific or scientific-applied problems that arise in complex systems. Acquisition of universal researcher skills, in particular oral and written presentation of the results of one's own scientific research in Ukrainian, management of scientific projects and/or preparation of proposals for financing scientific research, registration of intellectual property rights, application of modern information technologies.
Learning outcomes: As a result of studying the academic discipline, the student should be able to: • carry out the formulation of machine learning design tasks • apply methods and algorithms for designing and optimizing machine learning systems • implement procedures for administration and reengineering of machine learning systems • create intelligent systems based on modern machine learning technologies As a result of studying the academic discipline, the student must be able to demonstrate the following learning outcomes: Have advanced conceptual and methodological knowledge of systems analysis and at the border of subject areas, as well as research skills sufficient to conduct scientific and applied research at the level of the latest world achievements in the relevant field, obtain new knowledge and/or implement innovations. To be able to develop and implement scientific projects according to the methodology and technologies of system analysis. Ability to work effectively both individually and as part of a team.
Required prior and related subjects: Academic entrepreneurship
Summary of the subject: As a result of studying the academic discipline, the graduate student must master the methodology of analyzing social and communication environments, learn to use project management technologies when conducting scientific research. The knowledge acquired in the process of studying this discipline is based on the key provisions of project management, on modern methods and tools of project team management: provisions of international standards, the main elements of business planning and conducting analyzes of the organization's environment, the use of modern project management tools. .
Опис: Introduction to requirements and scientific design. Requirements and quality and process of project implementation. Create and analyze relationships between requirements. Requirements development and modeling. Requirements and testing. The concept of requirements in the field of problems and areas of solutions. Development of systems. General context of the process: input and output requirements; screening strategy and acceptance criteria. The main requirements development process is: an ideal world; developing requirements in the context of change. Information model of general requirements development process: classes of information; approval status; status of verification; status of satisfaction of requirements; internal connections of the information model. The reconciliation process. Analysis and modeling. Receiving requirements and verification status. Concept of problem area. Determination of the basic process. Harmonization of requirements with the customer. Analysis and modeling: identification of stakeholders; development of usage scenarios; defining system boundaries. Obtaining requirements: definition of structure; collection of requirements; determination of acceptance criteria; defining a validation strategy. Problems management requirements development process. Requirements management in the organization of the customer: planning, monitoring the progress of work, changes. Requirements management in the supplier organization: preparation of the commercial proposal, execution of the project. Manage requirements in the manufacturer's organization. Planning, monitoring of work, changes. Technological connections between the works of the project. Reflection of project timing in standards and regulations. The order of changes in the hierarchical structure and the list of works of the project. Critical path method. Determining the duration of the project. Calculation of project calendar and project management plan (project calendars, checkpoints). Basic types and general principles of building organizational structures for project management. Organizational structures in terms of the system of mutual relations of project participants. Project structure in the context of the project content. Comparative characteristics and current trends of project management organizational structures. Requirements for project manager and staff. Models of project team development. Responsibilities in the project and their distribution. Formation of responsibility matrix. Planning to create highly effective project teams. Design document. Evaluation of the results of the examination of the scientific project. Documents on scientific examination of the project. Documents about the experience gained. National Project Management Association. IPMA certification.
Assessment methods and criteria: written reports on laboratory work, oral examination (40%) final control (control measure, exam), written-oral form (60%)
Критерії оцінювання результатів навчання: Current control of performance of practical tasks – 40 points, written component 50 points, oral component 10 points. A total of 100 points per discipline
Recommended books: 1. Katrenko A.V. Upravlinnya IT-proektamy. – L?viv: Novyy svit – 2000, 2011. 2. Katrenko A.V. Systemnyy analiz ob?yektiv ta protsesiv komp?yuteryzatsiyi. – L?viv: Novyy svit – 2000, 2004. 3. Rukovodstvo k svodu znanyy po upravlenyyu proektamy. Amerykanskyy natsyonal?nyy standart ANSI/PMI 99-001-2004. – Project Management Institute, 2004.