The course covers a broad range of mathematical knowledge, techniques and tools
that are used in economic applications, and has a wealth of practice examples
integrated throughout, including software-based demonstrations.
Examples employed go beyond the basic level of mathematics
for economics and business.
Analytical and quantitative elements are implemented in software Python with
the aid of Markdown (generation of documents with text and code)
and Jupyter Notebook https://jupyter.org/.
Moodle self-enrollment key: Please, check messages in 'SISU' about one week before the start of the course.
that are used in economic applications, and has a wealth of practice examples
integrated throughout, including software-based demonstrations.
Examples employed go beyond the basic level of mathematics
for economics and business.
Analytical and quantitative elements are implemented in software Python with
the aid of Markdown (generation of documents with text and code)
and Jupyter Notebook https://jupyter.org/.
Moodle self-enrollment key: Please, check messages in 'SISU' about one week before the start of the course.
- Teacher: Agnieszka Jach
The course covers multivariate techniques. Among the topics considered are:
(M)ANOVA, Multiple Regression, Principal Component Analysis, Factor Analysis, Cluster Analysis.
Course participants are supposed to acquire practical skills when it comes to using statistical software to perform such analyses.
Participants will also dissect and evaluate research reports/articles where multivariate analyses were applied. Articles are taken from the top journals in Marketing, Management, Logistics, Accounting, Finance and were published in the last five years.
Moodle self-enrollment key: please, check 'Messages' in SISU about one week before the start of the course.
(M)ANOVA, Multiple Regression, Principal Component Analysis, Factor Analysis, Cluster Analysis.
Course participants are supposed to acquire practical skills when it comes to using statistical software to perform such analyses.
Participants will also dissect and evaluate research reports/articles where multivariate analyses were applied. Articles are taken from the top journals in Marketing, Management, Logistics, Accounting, Finance and were published in the last five years.
Moodle self-enrollment key: please, check 'Messages' in SISU about one week before the start of the course.
- Teacher: Agnieszka Jach
Kursen ger en inblick i grundläggande statistisk undersökningsmetodik för insamling och analys av data. På kursen behandlas grunderna i sannolikhetslära, deskriptiv statistik, intervallestimering, t-test, ANOVA, regressionsanalys, Chi2-test och andra icke-parametriska test. Metoderna tillämpas på problem som relaterar till företagsvärlden.
Obligatorisk grundkurs inom kandidatexamen på svenska.
Obligatorisk grundkurs inom kandidatexamen på svenska.
- Teacher: Christian Johansson
- Teacher: Niklas Ahlgren
- Teacher: Hilda Kallio-Mannila
- Teacher: Tony Kung
- Teacher: Rasmus Rosenqvist
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