Merging Traditional Electromagnetism with Artificial Intelligence for Next-Gen Solutions
Course Description
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.
Course Content
- Introduction –> 2 lectures • 32min.
- Introduction of Magnetostatics –> 13 lectures • 4hr 52min.
- Advanced topics i –> 8 lectures • 2hr 7min.
- Advanced topics 2 –> 6 lectures • 2hr 1min.
- Advanced applications of magnetostatics –> 6 lectures • 1hr 29min.
Requirements
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 modeling
- Smart magnetic sensors for robotics and autonomous vehicles
- Magnetic levitation and energy-efficient transport systems
- Biomedical imaging and magnetic drug targeting
- Magnetostatics in quantum computing and spintronics
With 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 Outcomes
By the end of this course, you will be able to:
- Grasp the core principles and mathematical framework of magnetostatics
- Analyze and design magnetic field configurations for practical applications
- Use simulation tools and AI techniques to model magnetic systems
- Understand the role of magnetostatics in modern technology—from MRI to Maglev
- Explore research trends and innovation frontiers in AI-integrated electromagnetics
Who This Course is For
- Undergraduate and graduate students in physics, electrical engineering, and related fields
- Researchers working on electromagnetics, AI, and materials science
- Industry professionals in energy, medical imaging, transportation, or defense
- Enthusiasts aiming to understand how magnetic technologies work and evolve