Project management

Course: Applied mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Project management
Code
ННД.06
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
3
Learning outcomes
PLO1. Be able to use in-depth professional knowledge and practical skills to optimize the design of models of any complexity, to solve specific problems of designing intelligent information systems of different physical nature. PLO3. Gaining knowledge for the ability to evaluate existing technologies and based on analysis to form requirements for the development of advanced information technologies. PLO9. Collect and interpret relevant data and analyze complexities within their specialization to make judgments that reflect relevant social and ethical issues.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully study the discipline "Project Management" the level of knowledge and skills of the student must meet the following requirements: Know: 1. fundamental principles and practical approaches to the construction and analysis of qualitative characteristics of mathematical models. 2. methods of building mathematical and computer models of static and dynamic systems. Be able: 1. apply methods of analytical and numerical modeling in solving applied problems. 2. formulate optimization problems for applied problems of linear and nonlinear programming. Have the skills: 1. skills in using MATLAB application packages. 2. in English at a level not lower than Intermediate.
Course content
The discipline aims to master students' constructive approaches to project management in various applications. Familiarization with life cycle models in software development, analysis of such models, and its optimization is an important aspect of this discipline.
Recommended or required reading and other learning resources/tools
1. Harashchenko F.G., Kulian V.R. Algoritm resheniya dvukriterial'noj zadachi postroeniya optimal'nogo portfelya riskovyh aktivov. Problemy upravleniya i informatiki. - № 4.- 2018. - S. 148-156. 2. Harashchenko F.G., Kulian V.R. Modelirovanie dinamiki i diversifikaciya portfelya akcij. Problemy upravleniya i informatiki. - № 4.- 2016. - S. 124-135.
Planned learning activities and teaching methods
Lectures, independent work, elaboration of recommended literature, homework.
Assessment methods and criteria
Semester assessment: A maximum number of points that can be obtained by a student: 60 points: Test work №1: - 30/18 points. Test work № 2: - 30/18 points. Final assessment in the form of an exam.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Victor R. Kulian
Complex systems modelling
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Complex systems modelling
Faculty of Computer Science and Cybernetics