Introduction to Computational Science: Course Overview and Objectives

This lecture provides an overview of the Computational Science option at EPFL for Spring 2024. It outlines the course's objectives, which include programming logic using Python, algorithmic introduction, and scientific libraries. The instructor discusses the importance of computational tools in scientific calculations, automation, and data management. The course consists of six mandatory classes, including four core subjects and two electives. Students will engage in practical exercises over 14 weeks, with classes held weekly. The lecture emphasizes the exponential growth of programming and its technological implications, referencing Moore's Law regarding computing power. The course aims to equip students with essential programming skills, focusing on Python's intuitive syntax and its applications in data analysis, simulations, and machine learning. The instructor highlights that this course is not solely for computer science students but is beneficial for anyone interested in numerical analysis and engineering. The lecture concludes with a reminder of the registration deadline and the availability of recorded sessions for students.