MATLAB Numerical Methods for Chemical Engineering — PickAClass
⏱ 2h 30m 📚 25 lessons

MATLAB Numerical Methods for Chemical Engineering

Solve complex chemical engineering problems, model reaction kinetics, and simulate transport phenomena using foundational MATLAB numerical techniques.

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About this course

Chemical engineering challenges often involve complex, non-linear equations, differential systems, and transport models that cannot be solved by hand. This text-only course teaches you how to translate physical chemical processes into reliable numerical algorithms using MATLAB. You will transition from manual calculations to writing clean, structured MATLAB scripts that solve mass balances, reaction kinetics, and thermodynamic equilibrium problems.\n\nWhat you'll learn:\n- Understand foundational numerical concepts, including error analysis, convergence, and algorithm stability.\n- Solve non-linear algebraic equations representing chemical equilibrium and flash calculations.\n- Model chemical reaction kinetics using ordinary differential equation solvers.\n- Set up and evaluate multi-variable functions systematically to automate iterative engineering calculations.\n- Implement modern MATLAB coding practices, such as vectorization and structured function design, to optimize simulation performance.\n\nThis course begins with essential terminology, basic numerical concepts, and foundational MATLAB syntax. You will then progress through practical chemical engineering applications, learning how to structure your code for clarity and efficiency. Designed for chemical engineering students and practicing engineers new to numerical computation, this course requires no advanced programming background. Start building your numerical simulation skills today.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 📱 Phone or computer
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  • Short & focused
    2h 30m 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
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Behavioral pattern analysis
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1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
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1.7 hrs
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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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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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Just a phone or computer with internet. No installs, no special hardware.

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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.

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

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