- Učitel: Michal Houda
- Učitel: Marika Hrubešová
- Učitel: Jana Klicnarová
- Učitel: Tomáš Roskovec
The aim of the course is to acquaint students with mathematical modelling in management and with the most useful mathematical methods of management science. The first part of the course is devoted to linear optimization (the simplex method, duality in linear programming, multiple criteria optimization). The contents of the second part of the course are project management (network diagrams, critical paths, time analysis of deterministic and stochastic projects, time-cost and time-resource analysis of deterministic projects).
- Učitel: Michal Houda
- Učitel: Marika Hrubešová
- Učitel: Jana Klicnarová
- Učitel: Tomáš Roskovec
The aim of the course is to acquaint students with mathematical modelling in management and with the most useful mathematical methods of management science. The first part of the course is devoted to linear optimization (the simplex method, duality in linear programming, multiple criteria optimization). The contents of the second part of the course are project management (network diagrams, critical paths, time analysis of deterministic and stochastic projects, time-cost and time-resource analysis of deterministic projects).
- Učitel: Michal Houda
- Učitel: Marika Hrubešová
- Učitel: Jana Klicnarová
- Učitel: Tomáš Roskovec
The aim of the course is to acquaint students with mathematical modelling in management and with the most useful mathematical methods of management science. The first part of the course is devoted to linear optimization (the simplex method, duality in linear programming, multiple criteria optimization). The contents of the second part of the course are project management (network diagrams, critical paths, time analysis of deterministic and stochastic projects, time-cost and time-resource analysis of deterministic projects).