Semester: 2
ECTS: 5
Lectures: 30
Practice sessions: 30
Independent work: 90
Module Code: 24-000-0111
Semester: 2
ECTS: 5
Lectures: 30
Practice sessions: 30
Independent work: 90
Module Code: 24-000-0111
Module title:
Mathematical analysis
Lecturers and associates:
Aleksandar Hatzivelkos, College Professor
Martina Benković, Lecturer
Iva Golubić, Senior Lecturer
Toni Milun, Lecturer
Ivan Nađ, Lecturer
Adam Pinek, Lecturer
Module overview:
The objective of this module is to enable students to learn to:
• 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 1 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:
1. Stewart, J. (2015) Calculus ET. 8th edn. Boston: Cengage Learning
2. Hatzivelkos, A., Golubić, I., Nađ, I. (2024) Matematička analiza za IT, Zagreb: Algebra