Decision Methods
Keywords |
Classification |
Keyword |
OFICIAL |
Social Science |
Instance: 2012/2013 - 1S
Cycles of Study/Courses
Teaching language
Portuguese
Objectives
Decision Methods will be introduced as part of Operational Research - the 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;
- use spreadsheets for the models analysis and solution generation;
- begin to use the information extracted from the models to induce and motivate organizational changes.
Program
1. Decision Methods integrated in Operational Research
2. Operational Research - introduction
3. Methodology of operational research
4. Decision and Optimisatiomn models
5. Decision analysis
6. Linear programming
7. Simplex method
8. Integer programming - a brief introduction
9. Transport, Transexpedition problems and Assignment problems
10. Graphs and networks - introduction
11. Maximum flow and shortest path problems
12. Queuing systems
13.
14. Multi-criteria decision problems
Mandatory literature
Hillier, Frederick S.;
Introduction to operations research. ISBN: 0-07-118163-6
José Soeiro Ferreira; Investigação Operacional - Textos de apoio
Complementary Bibliography
Antunes, Carlos Henggeler 340;
Casos de aplicação da investigação operacional. ISBN: 972-773-075-2
Clemen, Robert T.;
Making hard decisions. ISBN: 0-534-92336-4
Tavares, Luís Valadares 070;
Investigação operacional. ISBN: 972-8298-08-0
Mourão, Pinto, Simões, Valente, Pato; Investigação Operacional, Verlag, 2011. ISBN: 978-989-642-184-7
Teaching methods and learning activities
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.
Software
Solver do Microsoft Excel
keywords
Social sciences > Economics > Management studies > Industrial management
Physical sciences > Mathematics > Applied mathematics > Operations research
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Attendance (estimated) |
Participação presencial |
52,00 |
|
|
Final Exam |
Exame |
2,00 |
|
|
|
Total: |
- |
0,00 |
|
Amount of time allocated to each course unit
Description |
Type |
Time (hours) |
End date |
|
Estudo autónomo |
60 |
2012-12-14 |
|
Estudo autónomo |
22 |
2012-12-14 |
|
Total: |
82,00 |
|
Eligibility for exams
According to General Evaluation Rules of FEUP- Article 4
Calculation formula of final grade
Continuous Assessment – from 0 to 6 values
Final Exam- from 0 to 14 values
Closed book exam
Examinations or Special Assignments
Three Mini-tests of 30min each (October, November and December)
Special assessment (TE, DA, ...)
The assessment at the special season will only be based on a final exam (closed book).
Classification improvement
An Exam (0 to 14 values)