CTU FEE Moodle
Operations Research
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Operations Research AE1M16OVY
| Credits | 5 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | English |
| Extent of teaching | 2+2c |
Annotation
Art of modeling and elements of decision models, Linear programming, Transportation problem, Integer linear programming, Introduction to graphs theory, Nonlinear programming, Dynamic programming, Monte Carlo simulation, Project management (CPM, PERT.
Study targets
No data.
Course outlines
1.Linear programming - introduction, graphic solution
2.Linear programming - simplex method
3.Linear programming - dual problem
4.Linear programming - sensitivity and parametric analysis
5.Transportation problem - applications, methods of solution
6.Integer linear programming
7.Graph theory - overview
8.Graph theory - optimization tasks
9.Project management - CPM and PERT methods
10.Project management - analysis of resources
11.Simulation models, Monte Carlo method
12.Random numbers generators
13.Dynamic programming
14.Reserve
2.Linear programming - simplex method
3.Linear programming - dual problem
4.Linear programming - sensitivity and parametric analysis
5.Transportation problem - applications, methods of solution
6.Integer linear programming
7.Graph theory - overview
8.Graph theory - optimization tasks
9.Project management - CPM and PERT methods
10.Project management - analysis of resources
11.Simulation models, Monte Carlo method
12.Random numbers generators
13.Dynamic programming
14.Reserve
Exercises outlines
1.Operations research introduction
2.Mathematical programming, Lagrange method
3.Graphical solution of linear programming tasks
4.Simplex method, dual problem solution
5.Practical application of linear programming, software support
6.Transportation problem
7.Branch and bound method
8.Tasks on graphs
9.Graph optimization methods
10.Project management - CPM
11.Project management - PERT, resource analysis
12.Random numbers generation, Monte Carlo simulation
13.Test
14.Reserve, assessment
2.Mathematical programming, Lagrange method
3.Graphical solution of linear programming tasks
4.Simplex method, dual problem solution
5.Practical application of linear programming, software support
6.Transportation problem
7.Branch and bound method
8.Tasks on graphs
9.Graph optimization methods
10.Project management - CPM
11.Project management - PERT, resource analysis
12.Random numbers generation, Monte Carlo simulation
13.Test
14.Reserve, assessment
Literature
1.Taha, H.A. Operations research - An Introduction. Prentice Hall 2006
2.Hillier, Lieberman: Introduction to operations research. McGraw-Hill 2005
2.Hillier, Lieberman: Introduction to operations research. McGraw-Hill 2005
Requirements
viz https://ekonom.feld.cvut.cz/en/student/courses/operations-research
Responsible for the data validity:
Study Information System (KOS)