Numerical Methods for Chemical Engineering: Solving DAEs and ODEs — PickAClass
⏱ 2h 36m 📚 26 lessons 🎧 Audio version

Numerical Methods for Chemical Engineering: Solving DAEs and ODEs

Learn to model and solve differential-algebraic equations (DAEs) and boundary value problems in chemical engineering using modern numerical techniques.

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About this course

Chemical engineering systems often involve complex physical processes where ordinary differential equations (ODEs) and algebraic boundary conditions must be solved simultaneously. Understanding how to classify, set up, and numerically solve these differential-algebraic equations (DAEs) is critical for modern process simulation and design. By completing this text-only course, you will learn how to translate physical boundary conditions into structured mathematical models and solve them systematically. What you'll learn: 1. Understand the core differences between ODEs and algebraic equations in chemical systems. 2. Classify boundary conditions and define active interior domains using mathematical masking. 3. Formulate differential-algebraic equation (DAE) systems representing chemical processes. 4. Apply modern numerical solvers to handle stiff equations and algebraic constraints. 5. Translate physical process constraints into structured numerical vectors. 6. Analyze chemical engineering models using modern scientific computing principles. This course begins with the foundational mathematics of chemical engineering systems and the basic terminology of DAEs, followed by step-by-step written derivations and code-based implementations. This course is designed for chemistry, biochemistry, and chemical engineering students, as well as practicing engineers looking for a clear, text-based introduction to numerical methods. No advanced prior numerical analysis experience is required. Start mastering the numerical methods that power modern chemical engineering simulations today.

What you'll get

  • 📜 Certificate of completion
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  • 🎧 Audio version included
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  • 📱 Phone or computer
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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
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has successfully demonstrated mastery of
Numerical Methods for Chemical Engineering: Solving DAEs and ODEs
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Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
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Behavioral copywriting
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Numerical Methods for Chemical Engineering: Solving DAEs and ODEs
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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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Yes — full refund within 14 days, no questions asked.

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

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