Advanced Algorithms and Complexity
Data Structures and Algorithms,
In previous courses of our online specialization you've learned the basic algorithms, and now you 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 | Jun 26 (43 weeks ago) |
| 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 | Jun 26 (43 weeks ago) |
| 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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