Obtaining data from different registers

Ilmoittaudu
12.10.2017 klo 09:00 - 31.10.2017 klo 23:59
Moodle
Kirjaudu sisään nähdäksesi Moodlen kurssiavaimen.

Aikataulu

Tästä osiosta löydät kurssin opetusaikataulun. Tarkista mahdolliset muut aikataulut kuvauksesta.

PäivämääräAikaOpetuspaikka
Ke 1.11.2017
10:15 - 14:00
Ke 8.11.2017
10:15 - 14:00
Ke 15.11.2017
10:15 - 14:00
Ke 22.11.2017
10:15 - 14:00
Ke 29.11.2017
10:15 - 14:00
Ke 13.12.2017
10:15 - 14:00

Kuvaus

Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Statistics and Social statistics module.

The course is available to students from other degree programmes.

Introduction to register-based research

Bachelor studies, event-history analysis, programming

The student gets an overview on how to conduct repeateable data-analysis on large data sets combining different data sources in practice and how to avoid common biases related to register-based data analysis

Recommended time/stage of studies for completion: 1. or 2. year

Term/teaching period when the course will be offered: varying

During this course essential aspects of pragmatic register-based data analysis will be covered: how to store and preprocess large data sets, how to combine different data sources, which kind of study designs can be used, how to avoid common biases and how to document the research process in a repeatable manner.

Separate course material

Lectures, group work and assignments

Written final assignment

Active participation and written final assignment