Numerical Methods for Chemical Engineering in MATLAB — PickAClass
⏱ 2h 54m 📚 29 lessons 🎧 Audio version

Numerical Methods for Chemical Engineering in MATLAB

Learn to solve complex chemical engineering problems, from mass balances to reactor modeling, using practical numerical computations and MATLAB scripting.

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About this course

Chemical engineering systems often involve complex, non-linear equations, transport phenomena, and reaction kinetics that are impossible to solve by hand. To design and optimize these systems, engineers must rely on robust numerical techniques. This text-based course bridges the gap between chemical engineering theory and computational execution, showing you how to translate physical principles into working numerical models. By completing this course, you will transform from a student of theory into a practitioner capable of setting up, solving, and analyzing engineering simulations. You will start with core mathematical concepts and foundational scripting before moving on to solve realistic transport, thermodynamic, and reaction engineering problems. What you'll learn: - Understand the foundational theory of numerical approximation, root-finding, and error analysis. - Solve systems of non-linear algebraic equations typical of chemical equilibrium and mass balances. - Implement numerical integration techniques to model batch and continuous chemical reactors. - Apply ordinary differential equation solvers to simulate transient heat and mass transfer processes. - Structure clean, readable, and efficient MATLAB scripts using modern programming practices like vectorization. - Debug computational errors systematically to ensure simulation accuracy and physical validity. This course begins with essential mathematical definitions and simple programming concepts before guiding you through structured exercises that mimic real-world chemical processes. You will read clear explanations, analyze step-by-step code implementations, and practice solving engineering problems through written exercises. This course is designed for chemical engineering students and beginning professionals who want to develop practical computational skills. No advanced programming background is required, though a basic understanding of introductory chemistry and calculus is helpful. Start building your engineering simulation toolkit today.

What you'll get

  • 📜 Certificate of completion
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  • 📱 Phone or computer
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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
Numerical Methods for Chemical Engineering in MATLAB
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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Numerical Methods for Chemical Engineering in MATLAB
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
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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.

Will I get a certificate? +

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

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