Mathematics for Materials Science and Engineering — PickAClass
⏱ 2h 36m 📚 26 lessons

Mathematics for Materials Science and Engineering

Master the essential mathematical foundations, from linear algebra to differential equations, required to analyze and solve real-world materials science problems.

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About this course

To truly understand how materials behave, deform, and respond to external forces, you must speak the language of mathematics. This course bridges the gap between abstract mathematical theory and practical engineering applications, giving you the tools to analyze complex physical systems. You will transition from basic algebraic concepts to advanced modeling techniques, allowing you to confidently predict materials behavior. What you'll learn: - Understand foundational linear algebra, including eigenvalues, eigenvectors, and coordinate transformations - Apply tensor operations to describe physical properties and anisotropic materials responses - Analyze materials symmetry and crystal structures using group-like operations and quadratic forms - Solve ordinary and partial differential equations that model diffusion, heat transfer, and mechanical stress - Implement Fourier analysis and distribution theory to interpret experimental data and wave phenomena - Explore modern computational modeling concepts used to simulate materials at different length scales This text-based course begins with a thorough introduction to core mathematical terminology and vector spaces, ensuring a solid foundation before moving on to multi-variable calculus, complex analysis, and differential equations. You will read through clear explanations, step-by-step mathematical derivations, and practical engineering scenarios. This course is designed for undergraduate students, entry-level engineers, and researchers in materials science, chemistry, physics, or mechanical engineering who want to strengthen their mathematical modeling skills. No advanced mathematical background is required to start. Begin your journey toward mastering the mathematical framework of materials science today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 36m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Mathematics for Materials Science and Engineering
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Mathematics for Materials Science and Engineering
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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