Data Analysis

Code:

MCI0012

Acronym:

AD

Keywords
Classification	Keyword
OFICIAL	Computer Science

Instance: 2009/2010 - 2S

Active?	Yes
Web Page:	https://www.fe.up.pt/si/DISCIPLINAS_GERAL.FORMVIEW?P_ANO_LECTIVO=2009/2010&P_CAD_CODIGO=MCI0012&P_PERIODO=2S
E-learning page:	http://moodle.fe.up.pt/
Responsible unit:	Department of Informatics Engineering
Course/CS Responsible:	Master in Information Science

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MCI	8	Plano de estudos oficial	1	-	6	60	162

Teaching language

Portuguese

Objectives

Learning of the classic subject matters of Data Analysis, not only from the theoretical point of view, but also from a practical point of view, using a specific software tool.

Program

1. Objectives
2. Data types and description
3. Sampling distributions and central limit theorem
4. Interval estimate
5. Hypothesis Testing
6. Analysis of variance
7. Linear regression
8. Classification
9. Aggregate analysis

Mandatory literature

J. P. Marques de Sá; Applied statistics using SPSS, STATISTICA and MATLAB. ISBN: 3-540-01156-0

Complementary Bibliography

Peter Dalgaard; Introductory statistics with R. ISBN: 0-387-95475-9
Rui Campos Guimarães, José A. Sarsfield Cabral; Estatística. ISBN: 978-84-481-5589-6

Teaching methods and learning activities

Theoretical classes are based on the presentation of course unit themes followed by practical experiments.

Software

R-project

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	56,00
Work in group	Exame	16,00		2010-06-11
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Work time extra classes	Estudo autónomo	90
	Total:	90,00

Calculation formula of final grade

0.3*Test 1 + 0.3*Test 2 + 0.4*Assignment
Minimum grades:
0.5*Test 1 + 0.5*Test 2 >= 7.0

Examinations or Special Assignments

The assignment is based on the execution of a group assignment (two people). The grade may be different to each element of the group.

Special assessment (TE, DA, ...)

Special assessment exam will take place at the same time as the improvement of final grade exam, according to General Evaluation Rules of FEUP.

Classification improvement

Students may improve their grades by attending an exam with two components:
1. a part corresponding to the continuous assessment tests;
2. an extra part which aims to assess the skills related to the practical assignment.

The improvement of final grade takes place at the corresponding season of exams, according to General Evaluation Rules of FEUP.