Numerical Analysis

I will learn:

• Apply Core Concepts – Demonstrate a systematic understanding of mathematical, logical, and statistical principles that underpin Data Science and AI.
• Practical Application – Use mathematical and statistical methods to support decision-making in real-world data-driven scenarios.
• Critical Evaluation – Assess the validity and reliability of statistical analyses and numerical results to inform problem-solving.
• Communication Skills – Present and explain analytical results clearly and effectively to both technical and non-technical audiences.
• Reflective Learning – Develop independence and critical self-awareness in approaching problems, tools, and learning processes.
• Contextual Awareness – Understand real-world applications of computational tools and engage with contemporary issues in Data Science and AI.

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