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Advanced Algorithms and Complexity

Data Structures and Algorithms,

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.

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Rating 4.1 based on 81 ratings
Length 6 weeks
Effort 4 weeks of study, 4-8 hours/week
Starts Apr 26 (next week)
Cost $79
From University of California San Diego, National Research University Higher School of Economics, HSE University via Coursera
Instructors Alexander S. Kulikov, Michael Levin, Daniel M Kane, Neil Rhodes
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms Software Development

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What people are saying

hard to follow

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.

Course content is very good, however the lectures are hard to follow because the examples are always at the end.

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programming assignments

Programming assignments are rewarding.

The course team has also done a fantastic job in designing the programming assignments.

I learned a lot form going through the programming assignments!

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previous courses

The problems are considerably more difficult than in the previous courses in this specialization.

The assignments are more challenging than in the previous courses of the specialization.It is overall a great final and a very complete specialization.Thank for putting together all this work.

Possible to pass programming assignments only after finishing previous courses.

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linear programming

Thank you very much for this awesome course, I really enjoyed and learned alot from it.I really liked the selected topics, they act like an intro to some really interesting fields in the programming.I've learned about NP multiple times but never found a use to it until now, the problems were really good and informative.I think the linear programming was pretty rushed, it should've been expanded over two weeks with more in details.Maybe add a problem or explain the use of duality .

I cannot thank the instructors enough.It would have been more interesting if we could go deeper on linear programming, such as extension to integer programming.

You are doing such a great work but i appreciate if you explain week-2 (linear programming) in detail.

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with challenging

One star less just because there are not very clean test cases for one particular problem among programming assignments Very well made course with challenging algorithm problems.

amazing course well detailed Very informative course with challenging assignments.

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Rating 4.1 based on 81 ratings
Length 6 weeks
Effort 4 weeks of study, 4-8 hours/week
Starts Apr 26 (next week)
Cost $79
From University of California San Diego, National Research University Higher School of Economics, HSE University via Coursera
Instructors Alexander S. Kulikov, Michael Levin, Daniel M Kane, Neil Rhodes
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms Software Development

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