NUMERICAL ANALYSIS

Introduction
Weekly Data Activities
Final Assessment

What this module is about

This module focuses on the essential mathematical and statistical foundations needed for data science and artificial intelligence. The primary aim is to develop a solid understanding of the mathematical and statistical methodologies used in these fields and apply them in problem-solving. All assessments and data analysis will be carried out using the R programming language, but Python exercises are also encouraged for skill development since it is widely used in later modules.

Key learning objectives include:

Building a strong understanding of core mathematical principles and concepts that support computing logic.
Gaining theoretical and practical knowledge of programming and data-driven techniques.
Learning how to interpret results from data science and AI tools effectively.
Understanding real-world applications and contemporary challenges of computational tools.
Encouraging a reflective and independent approach to learning.