Currículo
Decision Making and Optimization DMO-DAB
Contextos
Groupo: Data Analytics for Business > 2º Ciclo > Parte Escolar > Unidades Curriculares Obrigatórias
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. Modeling with Linear Programming (LP) 2. Dual and Sensitivity Analysis 3. Transportation Model and Its Variants 4. Integer Linear Programming (ILP) 5. Heuristics and Metaheuristics 6. Decision Analysis 7. Multi-Objective Programming (MOP)
Método de Avaliação
Concepts and algorithms are presented to students in class. Students must know, understand, use, and apply the concepts, techniques, and algorithms taught through individual work. At the same time, students are challenged to understand and apply the acquired knowledge to a practical problem, as a practical work group is proposed in which a real optimization problem must be solved. The assessment comprises two components: an individual written examination, accounting for 40% of the total mark; and a set of two group projects, accounting for 60% of the total mark.
Carga Horária
Carga Horária de Contacto -
Trabalho Autónomo - 129.0
Carga Total -
Bibliografia
Principal
- Operations Research: An Introduction: H.A. Taha 2023 Pearson
Secundária
- Handbook of Heuristics: R. Martí, P. Pardalos & M. Resende (eds.) 2018 Springer Nature
- Decision Analysis for Management Judgement: P. Goodwin & P.G. Wright 2011 Wiley
- Introduction to Operations Research: F. Hillier & G. Lieberman 2024 McGraw-Hill