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Advanced Algorithms and Complexity

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.

Created by National Research University Higher School of Economics


What you’ll learn

In this educational resource you may acquire the compentencies required by organizations these days. The most in demand technique from the educational opportunity that is frequently included by organizations is Data Analysis. You will also hear about Computer Science, a trait commonly requested in job postings.

Who will benefit?

Comparing the description from this educational resource with nearly 10,000 data-related job postings, we determine that those in or pursuing Data Scientist roles have the most to gain.