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 course is an introduction to multivariate analysis (i.e. statistical techniques that simultaneously analyse multiple measurements on individuals or objects). The course covers techniques such as MANOVA, Regression Analysis, Factor Analysis, and Cluster Analysis. The statistical program SPSS is used in the course.
Students with Statistics as their minor should take the course Multivariate Data Analysis (8 ECTS, course code 3613) in their bachelor's studies. That course is also recommended for students with a quantitative interest with other subjects as their major.
Students with Statistics as their minor should take the course Multivariate Data Analysis (8 ECTS, course code 3613) in their bachelor's studies. That course is also recommended for students with a quantitative interest with other subjects as their major.
- Teacher: Markus Belfrage
- Teacher: Christian Johansson
- Teacher: Niclas Meyer
This is an 8ECTS version of the MDA course for Bachelor-level students from Helsinki&Vasa.
The course is an introduction to multivariate techniques.
The course is built on the concept of cooperative learning in small teams.
You will get a joint grade for the overall performance of your team.
Students with Statistics as their minor are required to include this course in their bachelor's studies.
This course can also be taken as an elective course at the bachelor's level.
R (multivariate analyses and graphics) and Markdown (generation of documents with code and text chunks,
including latex for typesetting math formulas) are used in rstudio in the course.
Self-enrollment key: please, check 'Messages' in SISU about one week before the start of the course.
The course is an introduction to multivariate techniques.
The course is built on the concept of cooperative learning in small teams.
You will get a joint grade for the overall performance of your team.
Students with Statistics as their minor are required to include this course in their bachelor's studies.
This course can also be taken as an elective course at the bachelor's level.
R (multivariate analyses and graphics) and Markdown (generation of documents with code and text chunks,
including latex for typesetting math formulas) are used in rstudio 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
- Teacher: Alexander Back
- Teacher: Theogene Habimana
Ekonomisk matematik fokuserar på användningen av funktioner, derivator och integraler av en och flera variabler med ekonomiska tillämpningar på intäkts- och kostnadsfunktioner inom ekonomin. Kursen ger en introduktion till matriser.
Obligatorisk grundkurs inom kandidatexamen.
Obligatorisk grundkurs inom kandidatexamen.
- Teacher: Christian Johansson
- Teacher: Niklas Ahlgren
- Teacher: Alexander Back
- Teacher: Hilda Kallio-Mannila
- Teacher: Tony Kung