Data Analysis

Code:

2GE07

Acronym:

DA

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2013/2014 - 1S (of 09-09-2013 to 20-12-2013)

Active?	Yes
Responsible unit:	Agrupamento Científico de Matemática e Sistemas de Informação
Course/CS Responsible:	Master in Management

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIM	13	Bologna Official Syllabus	2	-	7,5	56	202,5

Teaching language

English

Objectives

To form the students in methods of data analysis, so that they are able to extract essential information from a potentially large data set.

Learning outcomes and competences

- Understanding the theorectical foundations of the presented methods.

- Capacity to extract essential information from a data set of real data, using the learned methodologies.

Working method

Presencial

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

The students should master the following topics :

- Linear Algebra at 1st cycle level :

Calculus with vectors and matrices, eigenvalues, eigenvectors

 

- Probability and Statistics at 1st sycle level :

Descriptive statistics

Basic notions of probability calculus

Normal distribution

Hypothesis testing

Program

Exploratory data analysis

Non-parametric tests

Correlation analysis

Contingency tables

Analysis of Variance (ANOVA)

Factorial analysis

Clustering analysis

Mandatory literature

João Maroco; Análise Estatística com o SPSS Statistics, ReportNumber, 2011. ISBN: 9789899676329 (Previous editions frm the same author exist in the lirbary, with a similar title)
Sharma, Subhash; Applied multivariate techniques. ISBN: 0-471-31064-6

Teaching methods and learning activities

- Theorectial-practical classes, including resolution of problems and examples of software use.

- Exercises are proposed for individual practising.

- Follow-up of the practical assignement.

Software

SPSS

keywords

Physical sciences > Mathematics > Statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Trabalho escrito	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo
Frequência das aulas	42,00
Trabalho de investigação
Total:	42,00

Eligibility for exams

Final exam and Practical Assignement.

Calculation formula of final grade

Final mark =  0.6 * exam's mark+0.4 * practical assignment's mark

Approval is conditional to having a mark not bellow 7.0 ( on a 0-20  scale) in the final exam.

Examinations or Special Assignments

The practical assignement consists in the analysis of a real data set, by the methods presented, and using statistical software.

More details to be specified during the first classes.