MATLAB Numerical Methods for Chemical Engineering — PickAClass
⏱ 3h 📚 30 lessons 🎧 Audio version

MATLAB Numerical Methods for Chemical Engineering

Learn to model, simulate, and solve complex chemical process equations using practical MATLAB numerical techniques.

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About this course

Chemical engineering systems are governed by intricate mathematical equations that are often impossible to solve analytically. To design reactors, model mass transfer, and optimize processes, you must master numerical computation. This text-based course equips you with the essential skills to translate chemical engineering problems into structured MATLAB code. You will learn how to select, write, and debug numerical algorithms to simulate real-world systems. What you'll learn: - Understand foundational numerical principles such as root-finding and numerical integration - Solve systems of linear and non-linear algebraic equations for mass and energy balances - Model dynamic chemical processes using modern ordinary differential equation solvers - Apply numerical optimization to find ideal operating conditions for chemical reactors - Write efficient, vectorized MATLAB scripts following modern programming best practices You will begin with basic definitions and computational logic before progressing to step-by-step breakdowns of classic transport and reaction engineering problems. This course is designed for beginners, students, and engineers looking for a practical introduction to numerical methods. No prior programming background is required. Start reading today to master the computational tools of modern chemical engineering.

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
    3h 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
MATLAB Numerical Methods for Chemical Engineering
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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MATLAB Numerical Methods for Chemical Engineering
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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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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.

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

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

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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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