Decision Support Systems

Code:

CINF030

Acronym:

SAD

Instance: 2012/2013 - 2S

Active?	Yes
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	38	Plano Oficial a partir de 2008/2009	3	-	6	56	162

Teaching language

Portuguese

Objectives

Upon completing this course, students should be able to: 
- Understand the complexity and the quantitative and qualitative issues of the decision-making processes and apply simple approaches to structure and solve them; 
- Use optimization models and applications as well as heuristic techniques in solving simple real-world problems; 
- Understand the scope of application of simulation models; 
- Acquire the notion of risk in decision-making in an uncertain environment and use adequate methodologies for these situations. 

 

Learning outcomes and competences

Provide students with skills to:

- Identify and address decision problems;

- Construct models for decision problems;

- Use quantitative methods to obtain solutions from decision problems’ models, to support a more reasonable decision-making;

- Use spreadsheets to analysis and obtain solutions for decision problems’ models.

Working method

Presencial

Program

Decision Support Systems: general structure and components. Quantitative and qualitative decision-making methods. Operational Research Methodology. Problem formulation and optimization models: linear programming, transportation and assignment. Computational methods and tools. Simulation. Classical Decision Theory: decision trees, utility functions and value functions. Multicriteria decision support. 

Mandatory literature

Maria Antónia Carravilla, José Fernando Oliveira; Documentação de apoio a Investigação Operacional, 2012

Complementary Bibliography

Powell, Stepehn G.; Management Science. ISBN: 978-0-470-03840-6
Cândida Mourão, Leonor Santiago Pinto, Margarida Vaz Pato, Onofre Simões, Jorge Miguel Silva Valente; Investigação Operacional, Verlag Dashöfer Edições Profissionais, 2011. ISBN: 978-989-642-184-7
Clemen, Robert T.; Making hard decisions with decision tools, N. ISBN: 0-534-36597-3

Teaching methods and learning activities

Theoretical lectures, analysis of examples and case studies.

Software

Microsoft Excel

keywords

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	68,00
Final exam	Exame	3,00	50,00	2013-07-17
Spreadsheets	Teste	2,00	5,00	2013-02-28
Individual Assesments	Teste	2,00	15,00	2013-06-05
Team Works	Trabalho escrito	30,00	30,00	2013-06-05
	Total:	-	100,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Individual study	Estudo autónomo	57	2013-06-05
	Total:	57,00

Calculation formula of final grade

Avaliação distribuída (AD):

• Avaliação Individual (AI): consiste na realização de 6 fichas de avaliação individuais, das quais serão contabilizadas as 4 melhores classificações;
• Trabalhos de Grupo (TG): soma das classificações obtidas nos 3 trabalhos de grupo;
• Avaliação sobre Folhas de Cálculo (FC): prova de avaliação individual sobre conhecimentos básicos de Folhas de Cálculo;
• Fórmula de cálculo:
        AD = 0.5 x AI + 0.4 x TG + 0.1 x FC.

Exame Final (EF):

• Exame realizado com consulta e em computador.

Cálculo da Classificação final (CF):

• CF = 0.5 AD + 0.5 EF.

Para obter aprovação, para além de uma classificação final não inferior a 10 valores, são requeridas as seguintes classificações mínimas:

• - Exame final com classificação mínima de 40%;
• - Avaliação distribuída com classificação mínima de 40%;
• - Avaliação sobre folhas de cálculo com classificação mínima de 50%.