Humanities Data Analysis

Course Code :2003FLWDTA
Study domain:Linguistics and Proficiency
Academic year:2020-2021
Semester:1st semester
Contact hours:12
Credits:3
Study load (hours):84
Contract restrictions: No contract restriction
Language of instruction:English
Exam period:exam in the 1st semester
Lecturer(s)Mike Kestemont
Lisa Hilte

3. Course contents *

CONTENTS

This module offers a hands-on introduction to statistics, applied to the context of research in the (digital) humanities and social sciences. Major objectives are the understanding of core statistical concepts, the correct and informed selection of relevant tests as well as the adequate application in the statistical programming language R. 

The course contents include the creation, inspection and visualization of dataframes, as well as the performance of descriptive statistical tests that aim to complement the predictive focus of the Machine Learning I module.

 

CLASSES

The module consists of five hands-on classes. Attendance is mandatory. Students are asked to bring their own laptop to class. In addition, students are required to make exercises at home and to read and prepare theoretical chapters in advance of classes. 

 

EXAM

Students will be evaluated on an exam project.