This course really gives insight about the essential numerical methods needed for engineering studies. Professor Jeffrey Chasnov is really interactive in explaining the materials and also gave hints and advices in handling the end-project for each chapters. The discussion forums and my peers in studying this course also helped me doing this study, so overall this is a very good course, with a real classroom experience.

My special thanks to Professor Chasnov and my friend in this course Pleng for always motivating me and helped me when I was stuck to a particular problem. Best of lucks for all of you.

I entered PhD course, but my background in math was very bad. I required to learn MATLAB, but I completely forgot linear algebla and even didn't know how to solve ordinary and partial differential equations. With the courses of Professor Chasnov I was able to increase my knowledge in 5 months. First was Linear algebra, then vector calculus, then differential equations. Numerical methods for engineers was my 4th course which is taught by Professor Chasnov. It wasn't easy, but now I can successfully implement obtained knowledge and MATLAB skills in my studies. Thank you very much professor Chasnov!

I love Prof. Chasnov's teaching style. This course is much more interesting with the Matlab programming assignment. The last project is the most challenging one as Professor Chasnov warned. It took me a while to work through the detail, but the effort is very rewarding. I learned not just numerical analysis, but Matlab skill and most importantly a new programming style for vector/engineering application.

I highly recommend this class,

Thank you so much,

Nguyen Le

Awesome course!

The content is well organised and builds up to the final project. I started this course hoping to learn how to solve the 2D diffusion equation by iterative approaches such as SOR and Red-Black ordering to run in devices with low computation and memory resources. The final project stops a step before this but teaches all that I would need to implement my solution. I appreciate the effort put in this course and it's pleriminary courses (Matrix Algebra for Engineers, Differential Equations for Engineers and Vector Calculus for Engineers).

Thanks to the entire team that put this togather. I will definetly be buying my well earned certificate for this :)

This is a wonderful course to learn something about numerical methods! The lectures and notes are wonderful and provide enough information to help you with the quizzes and programs. My first roadblock occurred in week 5. Week 6 was an incredible challenge for me. Thankfully, you can download the videos and watch them till some small illumination occurs to help you "see" a solution approach. This was critical in week 6 (reviewing 2D Laplace and Crank-Nicolson). I cannot recommend strongly enough if you want to learn more about Matlab and these methods from an exceptional instructor!

Superb Course in all ways: presentation, content, careful unfolding with minimal need for distracting diversions to check not-yet-covered prerequisite material. Best done last, after Matrices, Differential Equations and Vector Calculus (in that order). (Fibonnaci is fun, too). Genuinely believe this Course is an example that must be striking terror in face-to-face institutions providing core basic education: the quality of this course really does mean remote education with minimal need for individual personal support is likely to obsolete many of those offerings.

Excellent course on the numerical methods.

This course covers vast amount of numerical methods, from the

fundamentals of number representations in computer programs

to algorithms of interpolation and differentiation, to advanced

topics of numerical solutions to ODEs and PDEs. The methods

learned can be directly put into practice to solve engineering and

physics problems. Emphasis also put on MATLAB/Octave

programming with the algoritmhs learned so students can see

the concrete results/visualization.

As with the previous ones, this course was excellent. It was a nice overview of the basic numerical methods in engineering, and a stepstone for more advanced topics. The projects were interesting and enough background is given so you don't feel lost. I hope more courses will be available in the future on more advanced topics. Matlab is kept at a basic level. Thank you professor for your great course!

A phenomenal course for learning Numerical Methods and then coding them in MATLAB. It would have been better if the instructor had spent more time on the aspect too, but overall have to say the projects are the best part of this course. If you are highly committed to learning, you will thoroughly enjoy the course as it is challenging.

It was not only very instructive but also a pleasure to do this course. The lectures by prof Chasnov are very clear and his lecture notes very helpfull. The Matlab projects at the end of each week are very challenging and relevant and result in beautiful graphics. Prof Chasnov is a very motivated and inspiring teacher.

This is a magnificent resource for all of the engineering students who need to learn or brush-up their knowledge on numerical methods. I highly recommend this course to fellow engineering students whose university thought it was a good idea to not have a numerical methos class in their degree.

This course is perfect for someone starting with numerical methods and matlab programming. Short lectures, well distributed course content and interesting assignment problems.

Very interesting course, you'll study numerical methods and apply them working on matlab projects

In my case, I felt that this was quite difficult. I think that the explanaitions for proyects can improve, there can be more exercises in order to understand the buit-in functions of MATLAB.

Also, I would like to say that there are some unnecessary lectures, that won't help either as an engineer or for completing the course.

the completion of the projects assumes a vast experience with MATLAB. some help in this sense is however not provided and the introduction of MATLAB is not sufficient to solve the projects.

I do not want to sound ungrateful because I was able to audit the course, but I feel so overwhelmed by the amount of work in this course. The lecturer is amazing, but I felt I had to rush through the lessons because of the big workload. I wish the ungraded assignments were graded instead. It is a little frustrating to complete lots of assignments without any reward. I wish this course was split into a series of 2 courses. I would say the content could almost fill a whole semester. Some lectures could include more practical examples as opposed to just theory. I had to watch some youtube videos from other content creators to be able to finish some assignments. I thank you for the opportunity, but I hope you take into consideration some of these aspects.

It is an excellent course in advanced numerical analysis, especially after Week 3. It covers several topics in Scientific Computing, Nonlinear Equations, Linear Algebra, and Ordinary/Partial Differential Equations with Matlab. I suggest finding a cloud editor to practice programming in Matlab.

The level of difficulty in this series of lectures and exercises is intermediate to advanced for a solid background in Mathematics. The final outcome is to understand explicit and implicit numerical schemes for boundary value problems or boundary-initial value problems. Each Week has a short programming project in an interesting application of applied mathematics (i.e., 2-body problem). Thank you very much Coursera and HKUST for this module-specialization in Numerical Analysis.

Excellent course with an excellent teacher! THANKS.

Obviously, given the time frame, a lot of material was covered and Dr. Chasnov's superb approach to teaching is greatly appreciated. He l"forces" all of us to get deeper into the topics via books, research webpages, etc.

The part of PDE's was really interesnting though kind of challenging but worthwhile given that the vast majority of Differential Eqwuations books barely or rarely address such important topic.

It is an excellent course for learning to use numerical methods in MATLAB. The examples provided for applying each of the methods were generic enough to understand by engineers of different domain. I found the some of matlab assignments were very tough that even a small numerical accuracy issues can cause failure by graded external tool. The professor reviews the discussion forum every week and provides response to all the questions raised by students.

The most handy and instructive course on numerical methods, e.g. binary representation in computer, interpolation, integration, ODE, PDE, etc. A lot of hard ideas are expressed in a perfect way easy to follow. If you have bold ambition to dive into the advanced Math world, I highly suggest you spend 1.5 month to start from this course. After this course, you will have a more clear goal to move forward in the Math world.

The Lecturer provides a very clear, instructive and interesting set of lectures on this important topic. I appreciate the patience and care he has put to clearly explaining the materials. The quizzes, programming exercises and assignments all enhance the quality of the course. I learnt a lot from this course and plan to follow up with all the other courses given by the Lecturer. Thank you.

I highly recommend this course to anyone who wants a comprehensive introduction to numerical methods for engineering, while also learning how to use such a useful and versatile tool as MATLAB.The videos are clear, as are the written notes, and the MATLAB programming exercises are interesting and challenging.Professor Jeffrey Chasnov is to be congratulated for this very good mooc.

Excellent course. It starts with basic numerical methods and gets you to a point where you can solve the simplest version of the two-dimensional heat equation using finite differences. Along the way, you develop skills in MATLAB, learn the fundamentals of numerical computing, and obtain a solid foundation for doing more advanced work in numerical methods. Highly recommended.

Excellent course. A great way to build on the material of the prerequisite courses (matrix algebra, differential equations, and vector calculus). A range of concepts are covered and reinforced through lectures, readings/follow up assignments to be done by hand, and MATLAB programming assignments. Professor Chasnov is a great lecturer and teacher.

Curso de Métodos Numéricos do Professor Jeff Chasnov da Universidade de Hong Kong, é nota 10!

Os conteúdos tratam dos tópicos relevantes que são utilizados na discretização de equações diferenciais e as respectivas soluções!

Agradeço enormemente, pela oportunidade que a Universidade de Hong Kong possibilita na extensão e difusão do conhecimento!!!