Operations Research
Code  Completion  Credits  Range  Language 

AE1M16OVY  Z,ZK  5  2+2c  English 
 Lecturer:
 Tutor:
 Supervisor:
 Department of Economics, Management and Humanities
 Synopsis:

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.
 Requirements:

viz https://ekonom.feld.cvut.cz/en/student/courses/operationsresearch
 Syllabus of lectures:

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
 Syllabus of tutorials:

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
 Study Objective:
 Study materials:

1.Taha, H.A. Operations research  An Introduction. Prentice Hall 2006
2.Hillier, Lieberman: Introduction to operations research. McGrawHill 2005
 Note:
 Further information:
 No timetable has been prepared for this course
 The course is a part of the following study plans: