Analysing Data

Uitgebreide vaknaam	Analysing Data
Leerdoelen	Students who successfully complete this course unit will be competent in (the codes of the matrix learning outcomes are in brackets): analysing data for a typical digital humanities research question (1.1); including analytics based on descriptive statistics (2.1, 2.2); including analytics based on inferential statistics (2.1, 2.2); setting up simple machine learning tasks (1.3, 2.1, 2.2, 2.4); presenting their data analysis in writing and speaking (4.1).
Omschrijving	This is an introductory course on analysing and extending annotated data about objects or people. This is the second course in the data processing learning pathway, and it teaches the student how to test hypotheses, and to develop and evaluate basic machine learning methods. The aim of analyzing data is to reveal relationships, patterns, and trends. This can be done using statistical techniques that can tell us what relationships seem to exist among certain variables, but also to what level you can trust the answers we are getting. It often involves comparing information with a control group or with a baseline system. In this course we will mainly be concerned with quantitative data — data that can be translated into numbers. Various datasets stemming from different humanities disciplines will be covered. Datasets will be drawn from social media and other sources.
Uren per week
Onderwijsvorm	hoorcollege, practicum (2 uur hoorcollege, 2 uur computer practicum)
Toetsvorm	wekelijkse opdrachten
Vaksoort	master
Coördinator	T. Caselli, PhD.
Docent(en)	T. Caselli, PhD. , student-assistent
Entreevoorwaarden	Coding for Humanties (LHU002M05) Database Design (LHU010M05)
Opmerkingen	This is a course exclusively for students of the CIW MA, track Digital Humanities. We are expecting students to follow Collecting Data (LHU012M05). If you are not enrolled in the CIW-DH track and you want to take this course, please contact the study advisor of CIW.
Opgenomen in	Opleiding Jaar Periode Type Ma Communicatie- en Informatiewetenschappen  (Digital Humanities) 1 semester II a verplicht