Project Management
- Credits: 5
- Ending: Examination
- Range: 2P + 2C
- Semester: summer
- Year: 1
- Faculty of Economic Informatics
Teachers
Included in study programs
Teaching results
Upon successful completion of the course, students will acquire the following knowledge:
- basic knowledge of graph theory and the use of graph theory in the modeling of information systems and some economic processes,
- basic knowledge in the field of project management, network analysis and the use of network analysis models in the optimization of economic and managerial processes.
Upon successful completion of the course, students will acquire the following skills:
- understand and be able to use the principles of project management in the management of human and material resources in the project process,
- ability to apply methods to support decision-making in the management of IS projects,
- ability to use basic concepts, techniques and algorithms of graph theory and network analysis,
- control of corresponding software, software products Excel, Python, specialized software products.
Upon successful completion of the course, students will acquire the following competencies:
- practical skills and competencies associated with the application of methods and algorithms to support decision-making in the management of IS projects, skills associated with the use of project management principles in the management of human and material resources in the project process, data analysis using Python software.
Indicative content
1. Project management and planning.
2. Project planning tools. Quality of projects.
3. IT project management. Tasks of the project leader. Motivation.
4. Program management of projects. Organizational structures.
5. Introduction to graph theory, use and properties of graphs, descriptions of graph structure.
6. Acyclic graphs, spanning tree graphs, decision tree graphs, UML.
7. Paths in the graph. Eulerian and Hamiltonian paths and circuits. The problem of the shortest path.
8. Modifications of roads in the graph. Sightseeing tours. Computational complexity of roundabouts. Optimization, heuristic, and metaheuristic algorithms for solving roundabouts.
9. Project management and main properties of graphs for project management. Node-oriented and edge-oriented graphs and their creation.
10. Methods of project management. CPM method.
11. Cost and probabilistic analysis in project management. PERT method.
12. MPM method.
13. Software tools in project management. Use of Jira, Asana, MS Project and Excel, Python.
Support literature
1. Teória grafov pre ekonómov, Ivan Brezina – Pavel Gežík, Bratislava : Letra Edu, 2018
2. Kvantitatívne metódy projektového riadenia pre ekonómov, Ivan Brezina – Pavel Gežík, Bratislava : Letra Edu, 2020
3. Sieťová analýza, Ivan Brezina – Pavel Gežík - Zuzana Čičková. Bratislava : Vydavateľstvo EKONÓM, 2012.
4. Riadenie projektov informačných systémov, Závodný, P, Bratislava : Ekonóm, 2013.
5. Informační management v informační spoločnosti, Doucek, P a kol., Praha: Professional Publishing, 2013.
Requirements to complete the course
30% semester seminar work, resp. project,
10% continuous processing of tasks, worksheets resp. case studies.
60% written exam.
Student workload
130 hours,
26 hours of lectures,
26 hours of exercise,
58 hours of self-study in preparation for the exam,
20 hours elaboration of a semester project.
Language whose command is required to complete the course
Slovak, English
Date of approval: 10.02.2023
Date of the latest change: 17.05.2022