Code: | EA0026 | Acronym: | MD |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Social Science |
Active? | Yes |
Responsible unit: | Department of Industrial Engineering and Management |
Course/CS Responsible: | Master in Environmental Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIEA | 53 | Syllabus since 2006/07 | 3 | - | 6 | 56 | 162 |
MIEQ | 7 | Syllabus | 5 | - | 6 | 56 | 162 |
Decision Methods will be introduced as part of Operational Research - as a science applied to best decisions.
Main objectives: To motivate the students for the importance of application of Decision Methods and Optimisation Methods in the practice of Engineering and to facilitate fundamental skills and knowledge in these areas.
Skills and learning outcomes:
- identify and approach decision and optimisation problems in a structured way;
- build models for decision problems;
- use quantitative methods to obtain solutions for models; - resort to spreadsheets for the models analysis and solution generation;
- begin to use the information extracted from the models to induce and motivate organizational changes.
At the end of the course, students should be capable of:
- identifying and characterizing decision, optimisation and management problems related to situations of the real world;
- representing the identified problems by mathematical models, graphs or simulations;
- understanding and applying algorithms to solve different types of problems;
- critically analysing the solutions.
Linear Algebra; Mathematical Analysis; Probability and Statistics
1. Decision Methods integrated in Operational Research
2. Operational Research - introduction
3. Decision and Optimisatiomn models
4. Decision analysis
5. Linear programming
6. Simplex method
7. Integer programming - a brief introduction
8. Transport and Assignment problems
9. Graphs and Networks - introduction
10. Maximum flow, shortest path and other well-known problems in Graphs and Networks
11. Queuing systems
12. Multi-criteria decision problems
Theoretical classes: Presentation of course unit themes, using methods of active learning whenever possible, illustrated by cases, examples and problems.
Practical classes: Presentation and application of algorithms and methods and clarification of doubts about the resolution of the proposed problems. Follow-up of the students regarding the assignments and homework.
Designation | Weight (%) |
---|---|
Exame | 70,00 |
Teste | 30,00 |
Total: | 100,00 |
Designation | Time (hours) |
---|---|
Estudo autónomo | 82,00 |
Frequência das aulas | 56,00 |
Total: | 138,00 |
According to General Evaluation Rules of FEUP- Article 4
Exame (E): 20val
Mini Teste i (mTi): 20 val
Final Classification: 0,70E + 0,10mT1 + 0,10mT2 + 0,10mT3
Three Mini-tests (October, November and December)
The assessment at the special season will only be based on a final exam (closed book): 20 values
An Exam (14,00 values)