Decision Support Systems and Business Intelligence

Code:

2MADSAD08

Acronym:

SADIN

Keywords
Classification	Keyword
OFICIAL	Information Technology

Instance: 2017/2018 - 2S

Active?	Yes
Responsible unit:	Agrupamento Científico de Matemática e Sistemas de Informação
Course/CS Responsible:	Master in Modeling, Data Analysis and Decision Support Systems

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MADSAD	32	Bologna Official Syllabus	1	-	7,5	56	202,5

Teaching language

English

Objectives

 

Students should master the key concepts, methods and techniques that support decision making.

 

In addition, they should be able to apply them to ,solve specific problems.

Learn the fundamental concepts envolved in decision support systems field. What are the main techniques and tools used.
Learn the basic concepts of expert systems and be able to construct simple examples.
Learn the fundamental concepts in the field of fuzzy logic (fuzzy logic) and understand their aplicaçãona construction of decision models based on decision rules simple to understand and interpret.

Learning outcomes and competences

 

After attending the curricular unit, students should be acquainted with quantitative methods and techniques be used to provide decision support to decision makers. 

 

They should also know how to use multi-criteria software, such as AHP and MASSITI.

Working method

Presencial

Program

PART I 
1. Multicriteria Decision Making 
2. Decision making under uncertainty and under risk. 
3. Utilization of methodologies, such as AHP and MASSITI
4. Multi-Objective Otimization

 

PART II 
Sistemas de Apoio à Decisão Sistemas Periciais OLAP Fuzzy Sets (fuzzy logic)

Mandatory literature

R. T. Clemen and T. Reilly; Making Hard Decisions, Duxbury, 2001

Teaching methods and learning activities

Theoretical exposition along with practical examples.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Teste	70,00
Trabalho escrito	30,00
Total:	100,00

Calculation formula of final grade

Época normal:
Weighted average of the assessment components

Época de Recurso:
Final exam. The assignments mark may be used (with the same weight) on the final mark, if the student requests it.