Applied Numerical Methods for Engineering & Science Students

Engineering, Science, Finance, Economics, Fortran, Python, Octave
3.88 (4 reviews)
Udemy
platform
English
language
Engineering
category
instructor
Applied Numerical Methods for Engineering & Science Students
80
students
2.5 hours
content
Feb 2024
last update
$34.99
regular price

Why take this course?

๐Ÿงฎ Dive into the World of Numerical Methods with Expert Instructor Robert Spall!

Course Title: Applied Numerical Methods for Engineering & Science Students

Unlock the Secrets of Complex Problems with Ease

Are you ready to tackle the intricate challenges presented by nature and engineering systems? If your answer is a resounding "yes," then this course is your golden ticket! ๐Ÿš€

Why You Should Take This Course:

  • Real-World Applications: Discover how numerical methods are not just theoretical constructs, but powerful tools used across disciplines including engineering, science, finance, and economics. ๐ŸŒ
  • Practical Skills for Modern Problems: Learn to handle mathematical formulations that often cannot be solved analytically by turning them into computable problems with the aid of a computer. ๐Ÿ–ฅ๏ธ
  • Versatile Methods: This course will introduce you to a variety of numerical techniques, from solving equations and performing integration to fitting curves and beyond. ๐Ÿ“

Course Highlights:

  • Errors and Approximations: Understand the role of errors in numerical computations and explore Taylor series expansions to find approximate solutions to problems.
  • Root Finding Techniques: Learn various methods to find roots of equations, which are essential for solving real-world problems. ๐Ÿ”
  • Linear and Nonlinear Systems: Master techniques for solving systems of linear and nonlinear equations using numerical methods.
  • Differentiation and Integration: Get hands-on experience with numerical differentiation and integration, unlocking the ability to model dynamic systems and analyze data. ๐Ÿ“ˆ
  • Curve Fitting: Learn how to fit models to experimental data, making sense of complex datasets with a few simple parameters. ๐Ÿ”ฌ

What You'll Need:

  • A basic understanding of calculus, as this course builds upon those concepts.
  • Access to a computer with programming capabilities. If you're not already familiar, we've got you covered with codes available in both Fortran and Python, two industry-standard languages for scientific computing. We also introduce Octave for graphics, offering a powerful alternative to MATLAB. ๐Ÿงฑ
  • The course PowerPoint slides, which provide a visual guide to the lectures, will be available for download, enhancing your learning experience.

Who Should Take This Course:

This course is designed for:

  • Engineering and Science Students: Sophomore and junior level university students who are eager to deepen their understanding of numerical methods and their applications.
  • Finance and Economics Aspirants: Those interested in applying numerical methods to model economic phenomena, financial instruments, or optimize financial strategies. ๐Ÿ’ผ
  • Programmers and Analysts: Anyone looking for a refresher on numerical methods, especially those who wish to apply these skills in a professional context.

Join Us and Master Numerical Methods!

Embark on an educational journey with Robert Spall, where you'll transform abstract mathematical concepts into tangible solutions that can be applied in real-world scenarios. With hands-on practice, downloadable resources, and a comprehensive understanding of the subject, you'll be well-equipped to tackle any numerical challenge that comes your way. ๐ŸŽ“

Enroll now and take the first step towards mastering numerical methods and making an impact in your field!

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4625230
udemy ID
03/04/2022
course created date
10/05/2022
course indexed date
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