Schedule — Fall 2026

Lectures run in weeks 42–47: Mondays 12:00–13:45 in C2-055 and Tuesdays 10:00–11:45 in B2-065. All lectures are taught by Leif Anders Thorsrud and Vegard H. Larsen; the allocation of individual lectures will be announced later.

Lectures

#DateTimeTopicRoom
1Mon 12 Oct12:00–13:45Introduction to text as dataC2-055
2Tue 13 Oct10:00–11:45Bag-of-words, TF-IDF, and cosine similarityB2-065
3Mon 19 Oct12:00–13:45Bag-of-words-based methodsC2-055
4Tue 20 Oct10:00–11:45Learning from prediction 1: n-gram language modelsB2-065
5Mon 26 Oct12:00–13:45Practical day 1C2-055
6Tue 27 Oct10:00–11:45Learning from prediction 2: word embeddingsB2-065
7Mon 2 Nov12:00–13:45Introduction to LLMs and tokenizationC2-055
8Tue 3 Nov10:00–11:45Attention and transformersB2-065
9Mon 9 Nov12:00–13:45LLM input/output, training, and fine-tuningC2-055
10Tue 10 Nov10:00–11:45Practical day 2B2-065
11Mon 16 Nov12:00–13:45Prompt engineering, alignment, and summaryC2-055
12Tue 17 Nov10:00–11:45Mini-project presentations and feedbackB2-065

Assignment milestones

WhenMilestone
Lecture 1Groups formed (1–3 students), assignments introduced
Lecture 5Practical day 1: guidance on assignment 1
Lecture 10Practical day 2: guidance on assignments 2–4
Lecture 12Group presentations with feedback
End of semesterSubmission of the collected assignments (30% of final grade)
December 2026Written school exam, 3 hours (70% of final grade)

GRA 4164 Text as Data · Fall 2026 · BI Norwegian Business School