Management of Scientific Projects
Major: Biotechnology and Bioengineering
Code of subject: 8.162.00.M.19
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
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: PH01. 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. PH05. To be able to develop and implement scientific projects according to the methodology and technologies of system analysis. PH09. Ability to work effectively both individually and as part of a team. KOM1. The ability to communicate, to use different speech styles, communication methods and techniques, to demonstrate a wide scientific and professional terminological vocabulary. KOM2. The ability to use a variety of tools, including modern information technologies, for effective communication at the professional and social levels. AiB1. Ability to adapt to new situations and make appropriate decisions. AiB2. The ability to realize the need for lifelong learning in order to deepen the acquired and acquire new professional knowledge. AiB3. The ability to take responsibility for the work performed, to make decisions independently, to achieve the set goal in compliance with the requirements of professional ethics.
Required prior and related subjects: Попередні навчальні дисципліни Супутні і наступні навчальні дисципліни Системний аналіз Управління вимогами в ІТ-проектах Теорія баз даних та знань Календарне та ресурсне планування проекту Стандарти управління проектами
Summary of the subject: The knowledge gained in the process of studying this discipline is based on the key provisions of marketing and management (essence, tasks, types, elements, functions), as well as on modern methods and tools of organization management: ISO provisions, the main elements of business planning and conducting analyzes of the organization's environment , audit of marketing and management activities
Assessment methods and criteria: written reports on laboratory work, oral examination (40%) final control (control measure, exam), written-oral form (60%)
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.