Basic knowledge of statistics is assumed (mean, standard deviation, distributions). This course is intended for BA linguistics students.
The course covers basic Python for text analysis for BA students linguistics.
To know variables, lists, loops, regular expressions, functions, input/output, data formats and data visualisation in Python for text analysis
Being able to apply the knowledge obtained in writing short programmes in Python for text analysis
Mode of instruction
- Lectures and practicals
Attendance of lectures/practicals is obligatory, unless the student contacts the lecturer before the start of the course and can provide convincing arguments to be absent. All other students will be removed from the course if one is absent more than 2 sessions. Non-attedance results in losing the right to ask questions about that topic.
Timely handing in weekly assignments is obligatory. If more than 1 assignment is handed in too late, the students loses the right to take part in the examination (final assignment + final exam). Handing in a weekly assignment too late, results in losing the right to receive feedback on that assignment.
Lectures: 10 hours
Practical work: 10 hours
Preparation tutorials: 10 hours
Study of compulsory literature: 30 hours
Assignment(s): 50 hours
Preparation exam: 28 hours
Exam(s): 2 hours
Final test: 67%
Final test: yes
Blackboard will be used to:
Make the study materials available
Give an overview of he course
Communicate about the course
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
Enrolment through uSis is mandatory.
General information about uSis is available on this website
E-mail address Education Administration Office van Wijkplaats: firstname.lastname@example.org
This course is open to students from the BA Linguistics only.