Operations Research
Course code
MLM6315.DT
old course code
Course title in Estonian
Operatsioonianalüüs
Course title in English
Operations Research
ECTS credits
6.0
Assessment form
Examination
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
This subject enables the student to develop and evaluate models that allow them to respond quickly, effectively, and appropriately to the dynamics of organizations and technological development using solid mathematical and efficient computational tools. The student must rely on operations research methods to analyze, model and improve production and technological systems following a quantitative approach for decision-making in organizations that wish to be more competitive.
Brief description of the course
Introduction to Operations Research and GNU Octave, modeling with linear programming, the Simplex method and sensitivity analysis, duality, data analysis, transportation models, integer linear programming, nonlinear programming, quadratic programming, heuristic optimization.
Learning outcomes in the course
Upon completing the course the student:
- expresses real-life optimization problems as mathematical models where a characteristic of interest requires maximization or minimization under realistic constraints;
- is able to determine the best technique from mathematical programming to determine the solutions of optimization problems, depending on the characteristics of each problem and the variables involved;
- uses free software (like GNU Octave or Scilab) to solve efficiently and effectively various types of optimization models in Operations Research;
- provides solid mathematical and computational support in order to propose pertinent solutions to real-life problems in the dynamics of organizations and technological development.
- expresses real-life optimization problems as mathematical models where a characteristic of interest requires maximization or minimization under realistic constraints;
- is able to determine the best technique from mathematical programming to determine the solutions of optimization problems, depending on the characteristics of each problem and the variables involved;
- uses free software (like GNU Octave or Scilab) to solve efficiently and effectively various types of optimization models in Operations Research;
- provides solid mathematical and computational support in order to propose pertinent solutions to real-life problems in the dynamics of organizations and technological development.
Teacher
Jorge Eduardo Macias-Diaz
Prerequisite course 1
Study programmes containing that course