You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements and many others. Next we discuss inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them in practice. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing. Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset....

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

Best course

Very good collection of advanced topics, even useful for the 6th course in the specialization!

Was fun learning advanced stuff and implementing algorithms.

I very enjoyed this course! Theoretic informatics - is my favorite field of study. All the professors are the best. Dreaming to enroll in your Ph.D. program. Thank you very much

This is a very challenging course in the specialization. I learned a lot form going through the programming assignments!

VERY GOOD KNOWLEDGE.

amazing course well detailed

Very informative course with challenging assignments. It will surely make your data structure concepts clearer.

Took very long time fro me to be finished

SUPER

nice and some difficult

GOOD

Liked this course, at least there are courses for advanced level.

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.

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.

Challenging!

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