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Numerical Methods نس ...
L 2 Ingénierie des Systèmes d͛ Information et du Logiciel (ISIL)
Semester: 03
Methodological Teaching Unit: UEM
Subject: Numerical Methods
Credits: 4
Coefficient: 2
Learning Objectives: This course will allow students to explore the field of numerical methods necessary for solving problems.
Recommended Prerequisites: Basic mathematics.
Numerical analysis is fundamentally intertwined with computer science. The advent of high-performance computing has revolutionized the field, enabling the solution of complex mathematical problems that were previously intractable. Numerical methods are at the heart of computational software, from scientific simulations to data analysis tools. Computer scientists design efficient algorithms and data structures to implement these methods, while numerical analysts develop the mathematical foundations. This interdisciplinary collaboration has led to groundbreaking advancements in fields such as artificial intelligence, machine learning, and data science, where numerical techniques are essential for tasks like training neural networks, processing large datasets, and solving optimization problems.