The course covers mathematical techniques used to solve real-life problems arising in economic applications.
Python (symbolic calculations, graphics and some computations) and Markdown
(generation of documents with code and text chunks,
including latex for typesetting math formulas)
are used in Jupyter Notebook https://jupyter.org/ in the course.
Self-enrollment key: please, check 'Messages' in SISU about one week before the start of the course.
Python (symbolic calculations, graphics and some computations) and Markdown
(generation of documents with code and text chunks,
including latex for typesetting math formulas)
are used in Jupyter Notebook https://jupyter.org/ in the course.
Self-enrollment key: please, check 'Messages' in SISU about one week before the start of the course.
- Teacher: Agnieszka Jach
The aim of the course is to introduce students in Management and Business Studies to statistical methods for analysing multivariate data. After completing the course, the student is able to undertake high-quality quantitative research in Management and Business Studies, including International Business, Logistics, Management, Marketing and Strategy.
- Teacher: Niklas Ahlgren
- Teacher: Niclas Meyer