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A numerical method is a mathematical tool used for solving numerical problems. In Chemical Engineering, numerical methods are used to help solve problems related to heat and mass transfer, fluid mechanics and molecular simulation.

If you want to improve your problem-solving skills using the numerical methods then taking this [course_title] might be the answer to your problems. This course presents all methods within the context of chemical engineering problems.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

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Course Credit: MIT

Course Curriculum

Session 5: Eigenvalues and Eigenvectors 00:53:00
Session 6: Singular Value Decomposition; Iterative Solutions of Linear Equations 00:47:00
Session 7: Solutions of Nonlinear Equations; Newton-Raphson Method 00:45:00
Session 8: Quasi-Newton-Raphson Methods 00:51:00
Session 9: Homotopy and Bifurcation 00:53:00
Session 11: Unconstrained Optimization; Newton-Raphson and Trust Region Methods 00:53:00
Session 12: Constrained Optimization; Equality Constraints and Lagrange Multipliers 00:50:00
Session 13: ODE-IVP and Numerical Integration 1 00:48:00
Session 16: ODE-IVP and Numerical Integration 4 00:54:00
Session 18: Differential Algebraic Equations 2 00:55:00
Session 19: Differential Algebraic Equations 3 00:55:00
Session 20: Boundary Value Problem 1 00:51:00
Session 21: Boundary Value Problems 2 Session 21: Boundary Value Problems 2 00:54:00
Session 22: Partial Differential Equations 1 00:49:00
Session 25: Review Session 00:56:00
Session 26: Partial Differential Equations 2 00:51:00
Session 27: Probability Theory 2 00:53:00
Session 28: Models vs. Data 1 00:54:00
Session 30: Models vs. Data 3 00:50:00
Session 33: Monte Carlo Methods 2 00:50:00
Session 34: Stochastic Chemical Kinetics 1 00:54:00
Session 35: Stochastic Chemical Kinetics 2 00:48:00
Session 36: Final Lecture 00:46:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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