Network Analysis

Teaching results

The aim of the course is to provide basic knowledge of graph theory, network analysis and application of adequate models and methods. Within the study program Operational Research and Econometrics, the course is aimed at fulfilling the objectives of demonstrating advanced knowledge in the field of operational research. Various scientific methods, procedures and algorithms are combined within the course. Students will gain skills in using network analysis techniques and procedures using Python software.
Upon successful completion of the course, students will acquire the following knowledge:
- basic knowledge of graph theory and the use of graph theory in modeling some economic processes,
- basic knowledge of project management, network analysis and the use of network analysis models in the optimization of consecutive economic and managerial processes,
- basic knowledge of the application of network analysis methods in various economic areas.

Upon successful completion of the course, students will acquire the following skills:
- ability to use basic concepts, techniques and algorithms of graph theory, network analysis, scheduling theory,
- control of corresponding software, software products Excel, Python, specialized software products for planning consecutive processes,
- use the Python programming language to solve their own practical tasks in the field of production planning, logistics ...

Upon successful completion of the course, students will acquire the following competencies:
- practical skills and competencies with the application of methods and algorithms in modeling production processes, logistics processes, data analysis using Python software.