Computational Methods in Research on Social, Political, and Economic Issues The course examines the ongoing computational turn in social, political, and economic sciences. Doctoral level
Digital humanities and social sciences The course introduces a number of current digital methodologies for different types of Humanities- and Social sciences research, suitable for PhD level research. Doctoral level
Fine-tuning Large Language Models (LLM) This course provides a detailed exploration into the practical application, ethical considerations, and open-source landscape of fine-tuning large language models (LLMs) for students with basic programming skills. Bachelor’s level; Master’s level
Information Search and Generation with Large Language Models Information retrieval, matching and generation, large language models, query construction and prompt engineering techniques, retrieval-augmented generation, collaborative topic creation and fine-tuning, evaluating information retrieval and generation. Bachelor’s level; Master’s level
Statistical Methods for Text Data Analysis This course teaches various statistical methods for modeling and analysing text data. Contents are planned to include models for representing text including vector space models and neural embedding models; document content processing stages such…
Digital Libraries and Open Science The course literature includes types and tasks of digital libraries, both in the non-profit and commercial sectors. Other topics of the course are open science, open data and data archives. Bachelor’s level, Master’s level
Recommender system for NLF data This resource provides code for developing recommender systems to assist information retrieval in digital libraries based on log data gathered from their use. The resource was developed by Tampere University in partnership with CSC and…
User Experience Questionnaire UX questionnaire developed within DARIAH-FI to test and evaluate tools, datasets or workflows developed for the project. The questionnaire was created and updated in several phases between 2022-2023 from a literature review, semi-structured interviews, and tests with…
InfUSE InfUSE (Information interaction and use) is a group of multidisciplinary researchers in information interaction and use. The group studies all aspects of information searching, information use in various contexts, interactive information retrieval and information interaction. InfUSE is interested in…