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Master in Modeling, Data Analysis and Decision Support Systems

Dados Gerais

Código Oficial: M621
Acronym: MADSAD

Certificates

  • Master in Modeling, Data Analysis and Decision Support Systems (120 ECTS credits)
  • Master Course in Studies in Modeling, Data Analysis and Decision Support Systems (75 ECTS credits)

Course Units

Data Bases and Programming

2MADSAD02 - ECTS

The main aim of the course "Databases and Programming" is to provide the MSc student with the skills on Database Management Systems (DBMS),
with particular emphasis on relational databases, as well as some basic training about Programming.

Within the topic of DBMS, MSc students will acquire knowledge about analysis methologies for modeling problems, as well as the query language for relational databases SQL.


MSc students will learn R programming language to enable them to use the potential available to perform processing, graphing and modeling of data. They will also learn howto import/export data from various sources according to several formats.
The ability of R to connect to relational databases is also discussed.
Master's students should be able to create their own functions to solve problems posed in exercises and practical work.
By the end of the course students will be able to implement algorithms using R programming language.

Applied Statistics

2MADSAD04 - ECTS

The purpose of Applied Statistics is to provide the student statistical analysis techniques applied to some areas. It is intended to provide the tools necessary for inferential approach through non-parametric hypothesis testing as a complement to parametric hypothesis testing, known by students. It also provides some   simulation and sampling techniques, as well as some methods and techniques related to statistical quality control.

Data Mining I

2MADSAD01 - ECTS

At the end of the semester students should have the knowledge of various Data Mining tasks, the main methods and algorithms for each task, be able to apply these methods to new specific data analysis problems and have the capacity to evaluate, apply a critical posture in relation to results.

Optimization

2MADSAD03 - ECTS

Present the issues of optimization in the context of combinatorial optimization problems.

Present and describe some optimization methods, both exact (dynamic programming) and heuristic (constructive, local search and metaheuristics).

Data Analysis

2MADSAD05 - ECTS

To form the students in methods for univariate, bivariate and multivariate analysis of data.

Risk Analysis

2MADSAD11 - ECTS

The main goal of this subject is to acquire special competences in actuarial science for which the main methodologies used regard the Utility Theory and the Risk Theory. 

 

Data Mining II

2MADSAD06 - ECTS

At the end of the semester students should have the knowledge of various Data Mining tasks, the main methods and algorithms for each task, be able to apply these methods to new specific data analysis problems and have the capacity to evaluate, apply a critical posture in relation to results.

Forecasting Methods and Time Series

2MADSAD09 - ECTS

The aim of this course is to introduce the students to time series analysis methods.


Decision Support Systems and Business Intelligence

2MADSAD08 - ECTS

 

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.

Multi-Agent Systems and Simulation of Organizations

2MADSAD07 - ECTS

Provide knowledge about systems of computational agents, models of distributed communication, cooperation and decision. Demonstrate how these techniques can be used in the modeling of organizational dynamics.

Dissertation/Work Project/Internship

2MADSAD15 - ECTS Prepare students to develop a scientific work in data modeling and decision support systems.

The student will submit a dissertation of scientific nature, or a project work, or a stage of a professional nature. The student will be accompanied by one or more supervisors with whom he / she should meet periodically.

Dissertation/Work Project/Internship Plan

2MADSAD14 - ECTS

The purpose of this course is to provide students the skills necessary for the development of the plan dissertation, project or internship company.

Students should be able to:

1) To review critically the literature relevant to the research topic;

2) identify the appropriate methodological abordgagem

3) prepare a schedule of activities to accomplish.

 The result of learning is the development of the plan dissertation, identifying the subject of research and literature review relevant.

Seminars

2MADSAD13 - ECTS

The main goal consist of promoting a global perspective and the current state of the scientific knowledge
in data analysis, through contact with projects, people involved in applied research, and sharing of
successful stories and experiences.
Develop abilities related to critical reading, understanding, and summarizing existing scientific works.

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