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| This is the course plan for the second semester of the academic year 2023/2024. To check whether the course is being run this semester, go to the Virtual Campus section More UOC / The University / Programmes of study section on Campus. Once teaching starts, you'll be able to find it in the classroom. The course plan may be subject to change.
Operations Research (OR) is a discipline that relies on the formulation of mathematical-computational models and the development of algorithms for solving problems linked to efficient decision-making in any field and sector (business, industrial, social, health, services, etc.).
This course provides the OR concepts necessary to model and solve real problems using techniques such as linear programming, integer programming, nonlinear programming, etc. In particular, the course will focus on practical applications of OR concepts and techniques, in order to solve problems related to the fields of logistics and transportation, system and networks' optimization, and process scheduling.
This course is strongly related to other courses of the master like Simulation, Metaheuristic Optimization, and the FMP in Modeling and Simulation.
An excellent introductory video to Operations Research / Operations Management can be found at: https://www.youtube.com/watch?time_continue=1&v=sFWrmpXPVJw
It is also recommended to consult the following websites:
- INFORMS: https://www.informs.org
- SEIO: https://www.seio.es/
- EURO: www.euro-online.org
The following knowledge is assumed:
- Ability to read scientific texts in English.
- Basic knowledge of mathematics (bachelor or engineering's degree level).
- Analytical capacity.
- Interest in optimization applications in different areas (transport, logistics, finance, communication networks, etc.)
This course does not require having followed any other one within the master's degree program.
The objectives of the course are:
- Develop skills for modeling optimization problems.
- Improve analytical and problem-solving capabilities.
- Acquire practical knowledge about the main optimization techniques.
- Apply OR in areas such as logistics, transportation, finance, communications networks, etc.
- Improve the ability to understand scientific texts in English.
- Increase the capacity for synthesis and logical-mathematical reasoning.
Among the master's competencies, this course will allow you to acquire the following:
- Understand and apply advanced computing knowledge and numerical or computational methods to engineering problems.
- Apply computational, mathematical and statistical methods to model, design and develop applications, services, intelligent systems and knowledge-based systems.
- Apply mathematical and computational methods to solve technological problems and company engineering problems, particularly in research, development and innovation tasks.
- Ability to model problems using the language of mathematics and solve them with formal reasoning.
- Identify the mathematical theories needed to construct models based on problems from other disciplines.
- Handle mathematics and statistics software.
- Model, simulate and analyze systems, processes and networks.
- Applications of Operations Research
- Intro to Optimization Modeling and Software
- Linear Programming Modeling
- Sensitivity Analysis and Duality
- Integer Programming Modeling
- Network Modeling and Optimization
- Nonlinear Optimization
- Multi-Objective Optimization
- Heuristics I
- Heuristics II
- Monte Carlo Simulation
- Discrete Event Simulation
- Overview of x-Heuristics
In the course, in addition to the main book, the following software might be employed:
- Excel Solver and Open Solver for Excel (advanced version): https://opensolver.org
- Lindo / Lingo (https://www.lindo.com) or an equivalent software.
The assessment process is based on students' own work and the assumption that this work is original and has been carried out by them.
In assessment activities, the following irregular behaviours, among others, may have serious academic and disciplinary consequences: someone else being involved in carrying out the student's assessment test or activity, or the work being not entirely original; copying another's work or committing plagiarism; attempting to cheat to obtain better academic results; collaborating in, covering up or encouraging copying; or using unauthorized material, software or devices during assessment.
If students are caught engaging in any of these irregular behaviours, they may receive a fail mark (D/0) for the assessable activities set out in the course plan (including the final tests) or in the final mark for the course. This could be because they have used unauthorized materials, software or devices (e.g. social networking sites or internet search engines) during the tests, because they have copied text fragments from an external source (internet, notes, books, articles, other student's projects or activities, etc.) without correctly citing the source, or because they have engaged in any other irregular conduct.
In accordance with the UOC's academic regulations , irregular conduct during assessment, besides leading to a failing mark for the course, may be grounds for disciplinary proceedings and, where appropriate, the corresponding punishment, as established in the UOC's coexistence regulations.
In its assessment process, the UOC reserves the right to:
- Ask the student to provide proof of their identity, as established in the university's academic regulations.
- Request that students provide evidence of the authorship of their work, throughout the assessment process, both in continuous and final assessment, by means of an oral test or by whatever other synchronous or asynchronous means the UOC specifies. These means will check students' knowledge and competencies to verify authorship of their work, and under no circumstances will they constitute a second assessment. If it is not possible to guarantee the student's authorship, they will receive a D grade in the case of continuous assessment or a Fail in the case of final assessment.
For this purpose, the UOC may require that students use a microphone, webcam or other devices during the assessment process, in which case it will be the student's responsibility to check that such devices are working correctly.
You can only pass the course if you participate in and pass the continuous assessment.
Your final mark for the course will be the mark you received in the continuous assessment.