Study guide

All general information about the course, such as examination forms & requirements, intended learning outcomes, course policies, rules on cheating & plagiarism, etc., is provided in the course memo document:

Course memo (PDF)

Please read this document carefully at the start of the course!

Where to find what

  • All course materials, including lecture slides, labs, information regarding the project work, etc., will be published on this website.

  • For submitting your labs & project reports, use the Lisam submissions functionality.

  • For feedback & grading of the lab assignments, go to the Webreg page depending on your course code (Lab groups in 732A81 | Lab groups in TDDE16).

Examination dates

The formal examination opportunities for this course are as follows:

  • 2025-01-18 (regular examination at the end of the course)
  • 2025-03-20 (first re-examination date)
  • 2025-06-12 (second re-examination date)

These dates are also the formal submission deadlines (including resubmissions) for all lab assignments & project reports, unless explicitly communicated otherwise.

After the last examination date, you can be examined in connection with the next course session. Note however that the next session may feature different content, different assignments and different examination requirements. If you want to resubmit work from a previous session of this course, contact the examiner at least 10 working days before the relevant deadline!

Course literature

Text mining uses methods from natural language processing, which is a fast-moving field, and there is currently no single textbook that covers the course content. As a side reading, we recommend excerpts from the following books, which are available to read for free online.