Course - Language Technology with an Emphasis on Large Language Models - BBAN4040
Language Technology with an Emphasis on Large Language Models
New from the academic year 2026/2027
About
About the course
Course content
The course provides a theoretical and practice-oriented introduction to modern language technology with a main emphasis on large language models (LLMs). The focus is on applications of language-technology tools, including in economic and administrative contexts, as well as on understanding and reflecting on how these tools work and their strengths and weaknesses.
Topics include, among others:
- basic concepts and methods for LLMs
- information retrieval and retrieval-augmented generation (RAG)
- classical language technology techniques
- evaluation and quality
- perspectives from the social sciences and the humanities
The use of Python and/or other software will be included.
Learning outcome
Knowledge
The candidate should be familiar with key concepts, methods and areas of application within language technology, particularly large language models; be able to place them in an organisational context; and have theoretical and technical understanding of the methods.
Skills
The candidate should be able to carry out basic analyses and simple prototypes, and assess quality and suitability appropriately.
General competence
The candidate should be able to reflect on the benefits, limitations and consequences of language technology in organisations.
Learning methods and activities
Lectures and exercises. The use of Python and/or other software will be included.
Further on evaluation
Term paper and written school exam.
If you do not pass, it will be possible to retake the individual partial assessment.
If students want to improve their grade, it will be possible to retake the individual partial assessment.
Specific conditions
Admission to a programme of study is required:
Accounting and Auditing (MRR)
Applied Physics and Mathematics (MTFYMA)
Economics and Business Administration (MSIVØK5)
Economics and Business Administration (ØAMSC)
Industrial Economics and Technology Management (MTIØT)
Recommended previous knowledge
- Basic knowledge of Python programming equivalent to what is acquired in the course Introduction to Information Technology (TDT4110/TDT4111).
- Basic familiarity with artificial intelligence and machine learning techniques equivalent to Data Science (BBAN4001) or Statistical Learning (TMA4268).
Course materials
To be announced at the start of the semester.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| TDT4310 | 4 sp | Autumn 2026 |
Subject areas
- Economics and Administration