This module is by far the hardest in this specialization, but at the same time, it is rewarding. The only complaint I have is the Linear Programming part. I wish there was more explanation or some toy examples to go through the algorithm.

really hard

Great course, thank you! My only remark is that it sometimes assumes that you have lots of prior knowledge on programming in my opinion. I'm a non-tech guy trying to increase my knowledge of the field, and I've had a very hard time trying to find additional resources to solve some of the problems and to grasp some of the content. If we could have a bit more color on some of the harder parts during the course it'd be great.

The lectures are very abstract so, I had some difficulty in solving the assignment problems.

When they say advanced algorithms and complexity, they mean it. I was initially under the presumption that it would be a straight forward video course, without any assignments. But when I had to start with programming assignments that's when the real test started. Amazing set of tutorials. Would have liked if the courses had more varied examples.

Very bad course content for some modules

Many abstract concepts and mathematical terms but with severe lack of explanation of the terms and lack of specific, concrete examples to help learners to understand them

For example: in LP module there should be example of how the primal and dual matrix looks. How simplex algorithm is used on a specific example (showing explicit graph). I undertood only 25% of what was discussed about in this module

No motivation to move on after week 2!

Other weeks are slightly better

In summary: Too many abstract concepts with little examples

Lectures are mostly good. Assignments not. They are often very difficult in an uninteresting way such as unintuitive input formats and / or template code.

An incredible course,the exercises were very interesting

this course gave me hell of a time

Very hard to follow the lectures, completly lost without Reference books such as Introduction to Algorithms.