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Decision Support Methods

Code: CC330     Acronym: CC330

Keywords
Classification Keyword
OFICIAL Computer Science

Instance: 2014/2015 - 2S

Active? Yes
Web Page: http://www.dcc.fc.up.pt/~jpp/mad
Responsible unit: Department of Computer Science
Course/CS Responsible: Bachelor in Geology

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
L:AST 0 Plano de Estudos a partir de 2008 3 - 5 -
L:B 0 Plano de estudos a partir de 2008 3 - 5 -
L:F 2 Plano de estudos a partir de 2008 3 - 5 -
L:G 0 P.E - estudantes com 1ª matricula anterior a 09/10 3 - 5 -
P.E - estudantes com 1ª matricula em 09/10 3 - 5 -
L:M 0 Plano de estudos a partir de 2009 3 - 5 -
L:Q 0 Plano de estudos Oficial 3 - 5 -

Teaching language

Portuguese

Objectives

Students should:
- get familiar with techniques of operations research and constraint programming
and their application to modeling and solving deterministic and stochastic decision and optimization problems.
- develop skills for understanding computational complexity of concrete problems, and choosing algorithms, programming languages and libraries/APIs for solving them.

Learning outcomes and competences

Master the main techniques in optimization and simulation.

Working method

Presencial

Program

* Introduction to operations research.
* Mathematical programming: formulation, model classification.
* Linear programming: the simplex algorithm, duality, examples of application.
* Networks: basic graph theory, typical problems.
* Project planning.
* Introduction to integer programming. Branch-and-bound.
* Constraint programming
* Short introduction to non-linear programming.
* Markov chains.
* Simulation.
* Dynamic programming.

Mandatory literature

000002470. ISBN: 978-0-07-113989-2
000002720. ISBN: 9780471283669
A. Niederlinski; A Quick and Gentle Guide to Constraint Logic Programming via ECLiPSe, Economic University in Katowice, Poland, 2011. ISBN: 978-83-62652-08-2

Complementary Bibliography

Winston Wayne L.; Operations research. ISBN: 9780534423629
000080915. ISBN: 978-1-55860-890-0
000002200. ISBN: 978-0-262-13341-8
000074199. ISBN: 9780262032933 hbk

Teaching methods and learning activities

Lectures: presentation of the program topics and discussion of examples using a computer connected to a multimedia projector.

Labs: problem solving and case studies with experimental evaluation.

Software

GLPK: GNU Linear Programming Kit
The ECLiPSe Constraint Programming System (http://www.eclipseclp.org/)
SCIP Solving Constraint Integer Programs (http://scip.zib.de)

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation Weight (%)
Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese 25,00
Exame 75,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Elaboração de relatório/dissertação/tese 25,00
Estudo autónomo 50,00
Frequência das aulas 50,00
Total: 125,00

Eligibility for exams

Students cannot exceed the absence limit (25% of total number of estimated lab classes)

Calculation formula of final grade

Lab Assignment (25%).
Written examination (75%).
A minimum grade of 9.5 at 20 is required in the final exam.

Special assessment (TE, DA, ...)

The same evaluation criteria for all students.

Classification improvement

Lab Assignment grade cannot be improved.

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