Suggested preparation: Calculus, linear algebra, differential equations and programming.
About this course
Study numerical techniques used in chemical engineering, including eigenvalue methods, optimization and differential equations. The lectures connect mathematical algorithms with the structure of engineering problems.
Topics and lesson examples
- 5. Eigenvalues and Eigenvectors
- 11. Unconstrained Optimization; Newton-Raphson and Trust Region Methods
- 20. Boundary Value Problem 1
- 27. Probability Theory 2
- 36. Final Lecture
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Professional — WikiFree study-level assessment |
| Language | English |
| Available lessons | 23 |
| Video duration | 19h 47m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Calculus, linear algebra, differential equations and programming.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
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Professional
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: Numerical Methods for Chemical Engineering | Professional | 5. Eigenvalues and Eigenvectors · 11. Unconstrained Optimization; Newton-Raphson and Trust Region Methods · 20. Boundary Value Problem 1 | 19h 47m of video; practice time is additional |
| Free MIT Course: MATLAB Programming Fundamentals | Beginner | 1. Using MATLAB for the First Time · 2. The Command Prompt · 3. Using Files | 51m of video; practice time is additional |
| Free MIT Course: Computational Science and Engineering Methods | Professional | Recitation 2: Boundary Values, Ramp Functions and Delta Functions · Recitation 5: Mass-Spring Systems and Energy-Conserving Methods · Recitation 8: Finite Elements and Boundary Conditions | 42h 29m of video; practice time is additional |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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