1. komponenta

Lecture type	Total
Exercises	30
Lectures	30

* Load is given in academic hour (1 academic hour = 45 minutes)

The objective of the course is for students, based on theoretical knowledge and case studies, to be trained to understand, recognize and apply various quantitative methods that are used as support in business decision-making.

1. Formulate a mathematical model for linear optimization problems.
2. Apply computer tools in solving linear programming problems and recommend and valorize the solution through postoptimality analysis.
3. Choose the appropriate algorithm and solve the problem on network.
4. Design a model for project management and recommend optimal savings by cutting the duration of activities.
5. Propose optimal business decisions using dynamic programming methods.
6. Design decision trees for decision evaluations and calculate information values.

1. Uvod u matematičko programiranje 1, Neralić, L., Ekonomski fakultet Sveučilišta u Zagrebu, 2012.
2. Introduction to operations Research, Hillier F., Lieberman G., McGraw Hill 8th ed. 2005, 8th Ed., 2005.

1. Operacijska istraživanja, Lukač Z., Neralić L., Element, 2013.
2. Linearno programiranje, Babić Z., Sveučilište u Splitu, 2010.

Mandatory course - Regular studij - Management