Linear Algebra for Chemical Engineering Systems in MATLAB — PickAClass
⏱ 2h 54m 📚 29 lessons 🎧 Audio version

Linear Algebra for Chemical Engineering Systems in MATLAB

Learn to model and solve chemical separation systems and linear equation models using MATLAB, designed specifically for engineering students and beginners.

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About this course

Chemical engineering problems, from distillation columns to mass balances, rely heavily on solving systems of linear equations. This text-based course guides you from the absolute basics of linear algebra to writing structured MATLAB scripts that solve complex separation systems. What you will learn: First, learn the fundamental concepts of linear algebra, including matrices and systems of linear equations. Second, translate physical chemical engineering problems, such as multi-stage separation, into mathematical matrices. Third, write clean MATLAB code using matrix operations and built-in solvers. Fourth, understand numerical stability and how to troubleshoot common computational errors. Fifth, practice formulating and solving multi-component separation system models through written exercises. Sixth, apply modern MATLAB programming best practices, including code structuring and vectorization. You will start with core mathematical definitions and MATLAB syntax before moving on to step-by-step walkthroughs of separation system models. This course is designed for beginner chemical engineering students and self-learners with no prior programming experience. Start building your computational engineering foundation today.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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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 54m 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
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Name Surname
has successfully demonstrated mastery of
Linear Algebra for Chemical Engineering Systems in MATLAB
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
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1.7 hrs
Behavioral copywriting
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Linear Algebra for Chemical Engineering Systems in MATLAB
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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
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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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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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