Mathematics in MATLAB

Learn calculus, trigonometry, geometry, complex numbers, linear algebra by coding in MATLAB with a lot of examples
3.97 (136 reviews)
Udemy
platform
English
language
Engineering
category
instructor
Mathematics in MATLAB
32 149
students
3 hours
content
Jan 2023
last update
$19.99
regular price

Why take this course?

🚀 Course Title: Mathematics in MATLAB: A Coding Journey through Calculus, Trigonometry, Geometry, and Complex Numbers


🧮 Course Headline: Master Advanced Math Concepts with MATLAB - Extensive Video Lessons, Live Sessions, and Hands-On Practice!


Course Description:

Embark on a mathematical adventure with our comprehensive online course "Mathematics in MATLAB" taught by the expert instructor AD Chauhdry. This course is designed to elevate your understanding of calculus, trigonometry, geometry, complex numbers, and linear algebra by leveraging the powerful capabilities of MATLAB. 📚➡️🚀

What You'll Get:

  • Step-by-step Video Lessons (more than 3 hours): Gain insight through a structured series of video lessons that explain each concept with clarity and depth. 🎥✨

  • Instant Interaction & Support: Have your questions answered on the spot during lessons, ensuring you never get stuck. ❓👌

  • Weekly Live Sessions: Engage in live discussions, clear doubts, and deepen your understanding of complex mathematical concepts with real-time feedback. 🗣️💡

  • Comprehensive Learning Materials: Access a wealth of supporting documents, including notes, examples, and exercises to reinforce your learning. 📑🧠

  • Quizzes & Assignments Solutions: Receive detailed solutions for all quizzes and assignments to check your understanding and progress. ✅


Course Highlights:

  • Mastering Mathematics in MATLAB: Dive into the world of mathematics with MATLAB, a software that's indispensable in engineering and beyond. 💻🧮

  • Special Focus on Calculus & Trigonometry: Master these fundamental mathematical disciplines by coding them in MATLAB, enhancing your problem-solving skills. calculus🔹trigonometry

  • Geometrical Optimization: Explore linear and non-linear programming optimization techniques through geometric visualization and analysis. 📈🏺

  • Extensive Code Examples: Learn by doing with over 200 MATLAB codes, each accompanied by its unique physical interpretation. 📊

  • Mathematical Graphics: Understand mathematical functions and equations better through their visual representation in MATLAB. 🎨📐

  • Enhancing Aptitude Ability: Develop a strong foundation that will not only help you in understanding mathematical analysis but also in your analytical thinking skills. 🧠🔍

  • Precision & Efficiency: Experience the accuracy of MATLAB solutions and solve abstract equations within seconds, with results that are free from manual computation errors. ⚡✅


Course Contents:

  • Linear and Nonlinear Equations: Learn how to solve these with ease using MATLAB coding. 📐

  • Matrices Operations: Master the art of matrix operations in MATLAB for a variety of applications. 🎫

  • Polynomial Solving: Discover the power of MATLAB in solving polynomial equations efficiently. 🌀

  • Trigonometric Functions: Code and plot trigonometric functions to deepen your understanding of their behavior. 🌾

  • Logarithmic & Exponential Functions: Explore these mathematical wonders through MATLAB coding and visualization. 🔫❄️

  • 3D Curves & Surfaces: Create and analyze 3D curves and surfaces to gain a more intuitive grasp of three-dimensional geometry. 🌟📈

  • Fundamental Calculus Concepts: Apply MATLAB to explore limit, derivatives, integrals, and much more. 🧬🚀


Join AD Chauhdry in this transformative journey through mathematics with MATLAB. Whether you're a student, educator, or professional, this course will equip you with the tools and knowledge to tackle mathematical challenges head-on. Enroll now and transform your approach to math! 🎓🚀

Sign Up Now and let's make complex math simple with MATLAB! 🎉🤝

Course Gallery

Mathematics in MATLAB – Screenshot 1
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Related Topics

2706512
udemy ID
15/12/2019
course created date
19/01/2020
course indexed date
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course submited by