Currículo
Decision Making and Optimization DMO-DAB
Contextos
Groupo: Economia > 2º Ciclo > Parte Escolar > Unidades Curriculares Optativas > Optativa Condicionada 3 e 4
ECTS
6.0 (para cálculo da média)
Objectivos
1. Study Optimization Approaches to Decision Making. 2. Understand mathematical models to address problems such as production, assignment, scheduling, distribution and routing. 3. Apply theoretical knowledge, practical problem-solving methods, including heuristics, and use analytical tools in the context of business decision making. 4. Understand the type of data needed to support the mathematical models and tools used to analyze the data. 5. Structure and analysis of sequential decision problems.
Programa
1. Linear Programming 2. Duality and Sensitivity Analysis 3. Transportation Model and Variants 4. Integer Linear Programming 5. Heuristics and Metaheuristics 6. Multi-Objective Programming 7. Decision Analysis
Método de Avaliação
The assessment comprises two components: . an individual written examination, which accounts for at least 40% of the total grade; . group projects, which account for at most 60% of the total grade. The final classification is the weighted average of all components. The grades range from 0 to 20. To obtain approval, the weighted average of all assessment components must be greater than or equal to 9.5, with a minimum grade of 6 in each component. Students with a final grade of 9 may be required to take an oral examination to pass the course. In this case, the maximum final grade will be 9.5.
Carga Horária
Carga Horária de Contacto -
Trabalho Autónomo - 129.0
Carga Total -
Bibliografia
Principal
- Operations Research: An Introduction: H.A. Taha 2023 Pearson
Secundária
- Introduction to Operations Research: F. Hillier & G. Lieberman 2024 McGraw-Hill
- Decision Analysis for Management Judgement: P. Goodwin & P.G. Wright 2011 Wiley
- Handbook of Heuristics: R. Martí, P. Pardalos & M. Resende (eds.) 2018 Springer Nature