Course Unit / Data Analysis

Data Analysis

Year
1
Academic year
2018-2019
Code
02032716
Subject Area
Informatics
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
2.0
Type
Elective
Level
Non Degree Course

Recommended Prerequisites

NA

Teaching Methods

This unit comprises two distinct periods. Initially it includes a theoretical review of the subject under review. It follows a period of discussion and interaction between teachers and students.

Learning Outcomes

  1. Get knowledge of the methodological procedures for collecting information;
  2. Understanding the process of quantitative and qualitative research and its practical application;
  3. Internalize the basics concerning the preparation of data collection instruments, their application and processing;
  4. Develop support and statistical methods for decision making.

Work Placement(s)

No

Syllabus

  1. Basic skills in statistics, particularly in descriptive statistics;
  2. Probability Theory , including the most important discrete and continuous distributions, and
  3. Statistical inference.

Head Lecturer(s)

Miguel Sá Sousa Castelo Branco

Assessment Methods

Assessment
The evaluation will be carried out through an individual written test which (0 a 20 values), without consultation that may be supplemented by a review group work (0 to 20 values), adopting in this situation the weighted average of the evaluation items: 100.0%

Bibliography

Suporte pedagógico fornecido pelo docente. Pedagogical support provided by the lecture.