Mathematical tools for analytics

Recommended prerequisites: ISM-A1002 Introduction to data analytics or 30A01100 Introduction to business analytics. Good grasp of the basic mathematical curriculum of Finnish upper secondary school (Lukio) as well as basic skills in a programming language suited for scientific computation (such as R or Python for example) will aid the student on the course.

Students develop their understanding of the core mathematical tools that are needed in many practical applications in business mathematics and analytics. After the course, the student understands and can solve systems of simultaneous equations, understands the concepts of rate of change and differentiation, understands functions of multiple arguments and the basics of optimization in the presence of constraints, is familiar with the concepts of expectation and integration as well as some of their practical applications, and is familiar with the core concepts of common numerical and stochastic search- and optimization methods and their application in practice. The course aims to simultaneously build understanding of the core mathematical tools as well as their practical utility and applications using suitable computational software such as Excel or R.

Teaching Language: English

Teaching Period: 2024-2025 Autumn I - II
2025-2026 Autumn I - II