Magnetostatics: Basics To Cutting Edge Applications

Merging Traditional Electromagnetism with Artificial Intelligence for Next-Gen Solutions

What you'll learn

Describe the fundamental principles of magnetostatics, including Biot–Savart Law, Ampère’s Law, and magnetic boundary conditions, and explain their significance

pply core magnetostatic equations and vector field concepts to analyze magnetic field distributions in simple current-carrying systems, coils, and magnetic mate

Evaluate the performance of magnetic devices (e.g., sensors, transformers, magnetic shields) using analytical methods and simulations, and compare the effective

Design and develop AI-driven or simulation-based models for advanced magnetostatic applications such as magnetic levitation systems, biomedical targeting, or sm

Requirements

Requirements or Prerequisites This course is designed to be accessible to both beginners and intermediate learners. To get the most out of it, you should have: Basic knowledge of physics and mathematics A general understanding of concepts like electric current, vectors, and elementary calculus will be helpful but is not mandatory. An interest in electromagnetism or modern technologies Whether you're a student, a professional, or just curious, a passion for understanding how magnetic fields work will go a long way. A computer or laptop with internet access Required for viewing lectures, participating in interactive simulations, and exploring optional AI and modeling tools.

Description

Course Description"Magnetostatics: Basics to Cutting Edge Applications" is a comprehensive and forward-looking course designed for students, researchers, and professionals eager to master the science of static magnetic fields and its transformative applications across industries. Whether you're new to electromagnetism or looking to explore how artificial intelligence is revolutionizing magnetic systems, this course is your gateway to a deep and practical understanding of magnetostatics.Starting from the fundamental laws—Biot-Savart, Ampère’s Law, and boundary conditions—this course builds a solid foundation in magnetostatic theory. We then dive into real-world phenomena such as magnetic field mapping, magnetic materials, and magnet design. Along the way, you’ll engage with analytical and computational tools used in solving magnetostatic problems.What sets this course apart is its integration of cutting-edge applications, including:AI-assisted magnetic field modelingSmart magnetic sensors for robotics and autonomous vehiclesMagnetic levitation and energy-efficient transport systemsBiomedical imaging and magnetic drug targetingMagnetostatics in quantum computing and spintronicsWith hands-on demonstrations, case studies, and guided projects, you’ll not only understand how magnetostatics works, but also why it matters in shaping the technologies of the future.Key Learning OutcomesBy the end of this course, you will be able to:Grasp the core principles and mathematical framework of magnetostaticsAnalyze and design magnetic field configurations for practical applicationsUse simulation tools and AI techniques to model magnetic systemsUnderstand the role of magnetostatics in modern technology—from MRI to MaglevExplore research trends and innovation frontiers in AI-integrated electromagneticsWho This Course is ForUndergraduate and graduate students in physics, electrical engineering, and related fieldsResearchers working on electromagnetics, AI, and materials scienceIndustry professionals in energy, medical imaging, transportation, or defenseEnthusiasts aiming to understand how magnetic technologies work and evolve

Overview

Section 1: Introduction

Lecture 1 Welcome & Introduction

Lecture 2 Over view of course

Section 2: Introduction of Magnetostatics

Lecture 3 Basic information: Electrostatics

Lecture 4 Material

Lecture 5 Bridge course Basics

Lecture 6 Material

Lecture 7 Basic information: Gauss law in electrostatics

Lecture 8 Basic information: Maxwell's first equation

Lecture 9 Introduction of Magnetostatics

Lecture 10 Magnetostatics: Clear and Detailed Notes

Lecture 11 Basic information Flipped class

Lecture 12 Gauss law of Magnetostatics

Lecture 13 Maxwell's first equation in differential and integral form

Lecture 14 Maxwell's second equation in differential form and integral form

Lecture 15 Biot-Savert's law

Section 3: Advanced topics i

Lecture 16 Time varying electric and magnetic fields

Lecture 17 Faraday's laws

Lecture 18 integral and differential form of Faraday'S LAWS

Lecture 19 Maxwell's 3rd equation

Lecture 20 Lenz's law

Lecture 21 Displacement current

Lecture 22 Ampere's law

Lecture 23 Maxwell's 4th equation

Section 4: Advanced topics 2

Lecture 24 Maxwell's 1st equation

Lecture 25 Maxwell's 2nd equation

Lecture 26 Maxwell's 3rd equation

Lecture 27 Maxwell's 4th equation

Lecture 28 Physical significance of Maxwell's equations

Lecture 29 Electromagnetic wave and wave equation

Section 5: Advanced applications of magnetostatics

Lecture 30 Advanced applications of magnetostatics

Lecture 31 Applications of Magnetostatics with an AI Approach

Lecture 32 AI-Based Magnetic Navigation in Autonomous Vehicles: A Case Study

Lecture 33 Integration with Future AI Trends in Magnetostatics

Lecture 34 The Transformative Impact of AI-Assisted Magnetostatics Across Industries

Lecture 35 The Future of AI and Magnetostatics

This course is designed to be accessible to both beginners and intermediate learners. To get the most out of it, you should have: Basic knowledge of physics and mathematics A general understanding of concepts like electric current, vectors, and elementary calculus will be helpful but is not mandatory. An interest in electromagnetism or modern technologies Whether you're a student, a professional, or just curious, a passion for understanding how magnetic fields work will go a long way.