Scientific Computing Essentials

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Related lectures (30)

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Variables and Types: Introduction to C Programming

Introduces the fundamentals of variables and types in C programming, covering declaration, initialization, and the differences from Java.

Vectorization in Python: Efficient Computation with Numpy

Covers vectorization in Python using Numpy for efficient scientific computing, emphasizing the benefits of avoiding for loops and demonstrating practical applications.

Introduction to Computational Science: Course Overview and Objectives

Introduces the Computational Science option at EPFL, detailing course objectives and programming fundamentals using Python.

Introduction to LabVIEW Programming

Introduces LabVIEW programming, covering memory management, data types, and parallel programming concepts, with hands-on demonstrations.

Python Programming: Data Structures and Functions

Covers advanced Python programming concepts, including data structures and functions.

Introduction to Programming: Basics of Python

Covers the basics of programming in Python, focusing on practical skills and hands-on exercises.

Scientific Computing with Python

Covers the basics of scientific computing with Python, focusing on programming, algorithms, and numerical methods.

Pointers in C: Understanding Their Utility and Applications

Covers the definition and applications of pointers in C programming, emphasizing their role in memory management and generic programming.

Introduction to Programming in ICC Course (SV)

Covers the theoretical and practical aspects of programming in the ICC course.

Root Finding Methods: Bisection and Secant Techniques

Covers root-finding methods, focusing on the bisection and secant techniques, their implementations, and comparisons of their convergence rates.