Semester: 2
ECTS: 5
Lectures: 30
Practice sessions: 30
Independent work: 90
Module Code: 24-00-503-E
Semester: 2
ECTS: 5
Lectures: 30
Practice sessions: 30
Independent work: 90
Module Code: 24-00-503-E
Module title:
Mathematical analysis
Module overview:
The objective of this module is to enable students to learn tp:
• implement mathematical models in economical and computer science applications
• implement calculus in computational and economic modelling.
This module builds upon the foundations laid in the module ‘Mathematics’ from the first semester. It teaches students mathematical models and calculus methods, which are essential in computer science modelling, as well as in economic modelling.
It is important for students to take this module to develop their logical and reasoning skills needed for other modules in this study programme. The knowledge students acquire in this module will contribute to the overall skillset for their future employment as IT specialists. This module will expose students to a particular experience when dealing with mathematical problems and models in a practical way both individually and in teams.
Literature:
Essential reading:
1. Stewart, J. (2015) Calculus ET. 8th edn. Boston: Cengage Learning
Recommended reading:
1. Stewart, J., Redlin, L. and Watson, S. (2016) Precalculus: Mathematics for Calculus. 7th edn. Boston: Cengage Learning
Further reading:
1. Lovell M.C. (2004) Economics with Calculus. Singapore: World Scientific