Admission requirements
None
Description
The course covers basis programming in Python for text analysis.
Course objectives
To know variables, lists, loops, regular expressions, functions, input/output and data visualisation in Python for text analysis
Being able to apply the knowledge obtained in writing short programmes in Python for text analysis
Timetable
Mode of instruction
- Lectures and practicals
Course Load
Lectures: 10
Practical work: 10
Preparation tutorials: 10
Tutoring:
Study of compulsory literature: 30
Assignment(s): 50
Tutorials:
Preparation exam: 28
Exam(s): 2
Other components:
Assessment method
Assessment
Timely handing in of assignments
Final test
Weighing
- Assignments and final test are weighted equally
Resit
yes
Blackboard
Blackboard will be used to:
Make the study materials available
Give an overview of he course
Communicate about the course
Reading list
Think Python: how to Think Like a Computer Scientist. Alan B. Downey (2012). O’Reilly
Natural Language Processing with Python..Steven Bird, Ewan Klein & Edward Loper (2009) O’Reilly
Registration
Enrolment through uSis is mandatory.
General information about uSis is available in English and Dutch
Contact
For questions about the content of the course, please contact the teacher:
Jurriaan Witteman
Administrations Office: van Wijkplaats: osz-oa-wijkplaats@hum.leidenuniv.nl
Coordinator of Studies: Else van Dijk