In line with technological developments in administrative decision-making and quantitative analysis, the College of Administration and Economics at the University of Karbala organized a specialized training course entitled:
“Students’ Use of Applied Computer Programs in Operations Research.”
The course was held from Sunday, February 23, 2026, to Tuesday, February 25, 2026, and was directed primarily at undergraduate students, aiming to enable them to utilize modern software to solve complex mathematical models used in operations research.
The training sessions were conducted by a group of instructors:
- Dr. Insaf Jassim
- Assist. Lecturer Samana Aziz
- Assist. Lecturer Zainab Abdul Hussein
- Assist. Lecturer Zahraa Adel Abd
They emphasized that mastering applied software is a necessary competitive advantage for graduates, as it saves time and effort in reaching optimal solutions to economic and production problems.
The course included practical training in computer laboratories, covering several key topics:
Formulating mathematical models:
How to transform real-world problems (such as maximizing profits or minimizing costs) into programmable models.
Application through ready-made software:
Training on tools such as Excel Solver and specialized programs to solve linear programming, transportation, and assignment problems.
Numerical sensitivity analysis:
Understanding how optimal solutions respond to changes in data and constraints using computer tools.
Interpreting software results:
Learning how to read numerical outputs and convert them into successful administrative and economic decisions.
The course aimed to bridge the gap between the theoretical aspect of operations research and practical computerized applications, contributing to the preparation of a generation of administrative analysts capable of handling large datasets and complex models with high accuracy.
The course witnessed significant interaction from students, who solved real-life models under the supervision of the training team.
This initiative comes within the college administration’s vision to update students’ digital skills, in line with academic quality standards and modern labor market requirements, which increasingly rely on automation and program-based analysis.
