Teaching
1405 - Mastering Data in the Real World with Python (2025, MSc Degree)
This course introduces the fundamentals of Python programming and Data Science to students interested in data-oriented professional careers in business and academia. Course materials begin with a preliminary module on Python programming, and continue with two main modules covering fundamental topics in data science such as data modeling, data collection, and data wrangling, with a variety of practical examples and hands-on exercises to help students gain data proficiency by working with real-world data from government agencies, digital traces, and open-source project archives. The course ends with a final module focusing on recent advances in textual analysis and large language models (LLMs), and provides actionable strategies for using these new technologies to accelerate your learning and help solve data science tasks.
2318 - AI Challenges to Business and Society (2024, 2025, MSc Degree)
Module: Intellectual Property and AI [Part 1] [Part 2]
The aim of the course is to make students learn about and arrive at deeper insights in and understanding of the pros and cons, pitfalls and opportunities, advantages, and disadvantages of AI concerning different applied areas related to business and society and how to manage such challenges.
Master’s Thesis & Bachelor’s Degree Project (2024)
Thesis Supervisor × 4