Programming for Humanities and Social Sciences


Course Objective

Goals of this course:
● Get to know the basics of the Python programming language
● Become an independent programmer, who is able to find solutions to new

Skills you will acquire during this course:
● Learn how to deal with unstructured and structured data
● Learn how to extract relevant statistics from large amounts of data
● Learn how to share your code and results

Course Content

As many humanities researchers use textual resources as their primary
object of inquiry, you learn how to analyze the growing amount of
digital text using the Python programming language. No programming
knowledge is required; we believe that anyone can learn how to program.

You will learn how to extract information from text corpora; deal with
different file types (plain text, CSV, JSON); deal with large amounts of
data; and visualize and share your results. We will focus on readability
and understandability of your code, so that you will be able to share it
with others, and reuse your code in the future.

This is a practical course, in which you will get a lot of hands-on
experience. Due to the nature of this course, active participation is

Teaching Methods

Interactive practical sessions (2 x 2 hrs a week).
Although parts of the lectures will be about programming and language
processing theory, the focus is on having interactive and practical
sessions. Students are expected to actively participate and ask

Method of Assessment

Bi-weekly assignments (60%): The assignments are designed to practice
your programming and problem solving skills. Moreover, they allow us to
keep track of your progress, and identify topics that require more
attention in class.
Midterm exam (40%): The midterm exam is designed to test your knowledge
of Python. To pass this course, you need a passing grade (at least 5.5)
on the midterm.

Entry Requirements



To be announced on Canvas. All materials are freely available

Target Audience

Students of the minor Digital Humanities and Social Analytics. Open to
all other Bachelor students.

Additional Information

This course is part of the minor Digital Humanities and Social Analytics
and open for all interested students. Students are required to attend at
least 80% of the classes. Students who fail to do so without a valid
reason will be excluded from the course.

General Information

Course Code L_AABAALG069
Credits 6 EC
Period P2
Course Level 300
Language of Tuition English
Faculty Faculty of Humanities
Course Coordinator dr. H.D. van der Vliet
Examiner dr. H.D. van der Vliet
Teaching Staff dr. H.D. van der Vliet
M.C. Postma MA
F. Ilievski
C.M. van Son

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar
Target audiences

This course is also available as: