The course introduces
students to quantitative techniques and mathematical tools essential for
decision-making in information technology (e.g. using Bibliometric Analysis and
Systematic Literature Review Papers). It emphasizes the practical application
of mathematical methods to analyze problems, model solutions, and support
data-driven decision-making in various IT contexts. Students will develop the
ability to select and apply appropriate quantitative approaches to real-world
IT scenarios, enhancing both problem-solving and analytical skills.
- Faculty: Carlo Jude Abuda