Code: | MP21131 | Sigla: | SSP |
Áreas Científicas | |
---|---|
Classificação | Área Científica |
OFICIAL | Industrial Organisation and Technology |
OFICIAL | Matemática |
Ativa? | Yes |
Unidade Responsável: | Departamento de Engenharia Mecânica |
Curso/CE Responsável: |
Sigla | Nº de Estudantes | Plano de Estudos | Anos Curriculares | Créditos UCN | Créditos ECTS | Horas de Contacto | Horas Totais |
---|---|---|---|---|---|---|---|
MP | 16 | Plano de Estudos | 2 | - | 6 | 0 | 162 |
Docente | Responsabilidade |
---|---|
Pedro Filipe do Carmo Cunha |
Theorethical and Practical : | 3,00 |
Outra: | 1,00 |
Type | Docente | Turmas | Horas |
---|---|---|---|
Theorethical and Practical | Totais | 1 | 3,00 |
Pedro Filipe do Carmo Cunha | 3,00 | ||
José António da Conceição Palma | 3,00 | ||
Outra | Totais | 1 | 1,00 |
José António da Conceição Palma | 1,00 | ||
Pedro Filipe do Carmo Cunha | 1,00 |
. To develop in students the ability to systematize and treat information for their use in the modeling of type situations existing at the level of production systems.
. Introduce techniques and approaches for students to be able to build models that support analysis and decision-making in solving production problems.
. New develop in students the ability to systematize and treat information for their use in the modeling of type situations existing at the level of production systems.
. Hability to use techniques and approaches for students to be able to build models that support analysis and decision-making in solving production problems.
Module 1 - Introduction to Simulation
. Terminology and simulation basics
. Types of simulation and variation of time
. Characterization of productive systems and simulation applications
. Advantages and disadvantages of simulation
Module 2 - Production Systems
. Type and component activities
. Type of data
. Randomness and phenomena
Module 3 - Stochastic Simulation
. Descriptive statistics and Frequency diagrams
. Distribution functions: adjustment to data sets
. Confidence Intervals and Statistical Tests
. Monte Carlo simulation and its application in Excel
. Accuracy and Validity of Data
Module 4 - Discrete Simulation
. Discrete time stochastic processes - Markov chains,
. Elements of discrete simulation,
. Queues of Waiting - Theory and modeling
Module 5 - Simulation systems
. Languages and simulation programs
. Modeling and simulation methods
. Development of a simulation project
. Definition of the project;
. Model Construction and Testing;
. Validation of the Experimentation Model
. Experiment planning and optimization
. Results analysis
Module 6 - New approaches to the simulation and application of virtual environments
. Application cases
. Systems integration
Presentation of topics for research and study, with the opportunity for students to present a synthesis and the conclusions obtained.
It is intended that in this work there is an integration of knowledge presented in the different modules of the curricular unit.
The research and study will be framed in a project that will be developed during the semester..
Designation | Peso (%) |
---|---|
Teste | 50,00 |
Trabalho escrito | 25,00 |
Trabalho laboratorial | 25,00 |
Total: | 100,00 |
Designation | Tempo (Horas) |
---|---|
Elaboração de projeto | 25,00 |
Estudo autónomo | 25,00 |
Frequência das aulas | 25,00 |
Trabalho laboratorial | 25,00 |
Total: | 100,00 |
Distribution assessment with final exam
Demonstração da coerência das metodologias de ensino com os objetivos de aprendizagem da UC
The evaluation method is based on the realization of a project to simulate a production system and a final exam:
. Project: Requires minimum grade of 10 values.
. Exam: Requires minimum grade of 10 values. Date of examination: last class.
Exam: Has a weighting of 0.5 of the final mark.