Laboratory

Code:

2MDA05

Acronym:

Lb

Keywords
Classification	Keyword
OFICIAL	Information Technology

Instance: 2020/2021 - 1S

Active?	Yes
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	35	Official Syllabus - after 2020-2021	1	-	6	42	162

Teaching language

English

Objectives

Development of practical skills in the formulation and resolution of data analysis problems.

Development of practical skills in exploratory data analysis, data visualization, predictive and descriptive modeling.

Learning outcomes and competences

By the end of the course, the student should be able to:

•  select and apply appropriated methods to 
• describe
• visualize
• develop predictive modelling
• use appropriate software for data anaysis
• concisely summarize results of data analysis

Working method

Presencial

Program

Case 1 - Kaggle competition: exploratory data analysis, data visualization, attribute selection, extreme values.

Case 2 - Data Analysis

Case 3 - Descriptive Modeling. Cluster analysis.

Mandatory literature

Han, Jiawei; Kamber, Micheline ; Data mining: concepts and techniques, Morgan Kaufmann, 2001
Witten, Ian H.; Frank, Eibe; Hall, Mark A; Data Mining: Practical Machine Learning Tools and Techniques , Elsevier, 2011
M Berthold, DJ Hand; Intelligent data analysis: an introduction , Springer, 2007

Teaching methods and learning activities

Example classes with data analysis case studies.

Software

R
Knime

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho prático ou de projeto	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	84,00
Frequência das aulas	42,00
Trabalho escrito	36,00
Total:	162,00

Eligibility for exams

Delivery of 75% of final project preliminary reports.

Calculation formula of final grade

Preliminary reports: 40%
Final project: 40%
Oral presentation: 20%