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Decision Support Systems

Code: CINF030     Acronym: SAD

Keywords
Classification Keyword
CORDIS Social sciences

Instance: 2019/2020 - 2S

Active? Yes
Web Page: https://sites.google.com/g.uporto.pt/cinf-sad
Responsible unit: Department of Industrial Engineering and Management
Course/CS Responsible: Bachelor of Arts in Information Science

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
CINF 39 CINF - Study Plan 3 - 6 56 162

Teaching language

Portuguese

Objectives

BACKGROUND


This course focuses on the application of analytical methods to take better decisions and provides students with tools for modelling and optimization that will be very useful in various roles in several types of organizations (industry and services).


SPECIFIC OBJECTIVES


The main objective of this course is to convey students a global vision about the principles and techniques used in rational decision-making processes with multiple criteria and risk and uncertainty situations, stressing in particular the role of quantitative methods and qualitative issues.


 

Learning outcomes and competences

Endow the students with the skills to:

  • identify and address decision problems in a structured way;
  • build models of decision problems;
  • identify and use analytical methods to obtain solutions for the models, that should act as a support for informed decisions;
  • use spreadsheets to analyse and obtain solutions for the models;
  • formulate multi-criteria decision problems and apply adequate decision support methodologies in uncertain environments.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Basic skills on spredsheets (Informática Básica).

Program


  • Modelling of linear programming problems with continuous variables.

  • Excel solver and analysis of sensitivity reports.

  • Modelling of network problems as linear programming models.

  • Modelling of linear programming problems with integer and binary variables.

  • Decision Theory.

  • Multicriteria decision problems.

Mandatory literature

Docentes de SAD; Documentação de apoio preparada pelos docentes da unidade curricular (Available at the course site)

Complementary Bibliography

Powell, Stepehn G.; Management Science. ISBN: 978-0-470-03840-6
Clemen, Robert T.; Making hard decisions with decision tools, N. ISBN: 0-534-36597-3

Teaching methods and learning activities

The themes are presented using active learning methods. The problems are illustrated with examples. The problems from a list of proposed problems are discussed and solved by the students.

Software

Microsoft Excel

keywords

Social sciences > Economics > Management studies > Industrial management
Physical sciences > Mathematics > Applied mathematics > Operations research

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation Weight (%)
Teste 100,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 106,00
Frequência das aulas 56,00
Total: 162,00

Eligibility for exams

See FEUP's general evaluation rules.

Calculation formula of final grade

Exercises in class (closed book) (0 to 10 points)
Sum of the top 8 exercises of each student out of the 10 exercises proposed at the beginning of each class.
Each exercise will be rated using a scale from 0 to 100%.

Intermediate evaluations (open book) (0 to 10 points)
Each one of the two intermediate evaluations will be rated using a scale from 0 to 100%.

A student will be aproved if the final classification is equal or higher than 10.

Examinations or Special Assignments

Students enrolled in ORDINARY REGIME

Must make 10  exercises (closed book) that will be corrected and graded on a scale from 0 to 100% .
The results will be discussed with the students.

Must make two intermediate tests (open book), that will be corrected and graded on a scale from 0 to 100%.
The results will be discussed with the students.

Students who have no obligation to attend classes and that did not make the exercises and intermediate tests will make a final exam (open book).

Special assessment (TE, DA, ...)

These exams will be closed book.

Classification improvement

Students may improve their marks in a final exam.
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