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 studentso acquire knowledge and skills in analytical thinking, as well as logical reasoning and interpreting results for further education. The goal of the course is for students to be equipped, based on theoretical knowledge and case studies, to understand, comprehend, recognize, and apply various quantitative methods for solving specific problems and methods for optimizing such problems.

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. Design decision trees for decision evaluations and calculate information values.

1. Uvod u matematičko programiranje 1, Neralić, L., Ekonomski fakultet Sveučilišta u Zagrebu, 2012.

1. Introduction to operations Research, Hillier F., Lieberman G., McGraw Hill 8th ed. 2005, 8th Ed., 2005.
2. Operacijska istraživanja, Lukač Z., Neralić L., Element, 2013.

Izborni predmeti - Part-time studij - Business informatics