World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome. In this online course you will learn key pattern matching concepts: tries, suffix trees, suffix arrays and even the Burrows-Wheeler transform.
Informações sobre o curso
Habilidades que você terá
Universidade da Califórnia, San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
- 5 stars66,23%
- 4 stars21,91%
- 3 stars7,86%
- 2 stars2,39%
- 1 star1,59%
Principais avaliações do ALGORITMOS EM SEQUÊNCIAS DE CARACTERES
Its a very good course overall. Just felt that towards the end the material got too much to digest, might be a good idea to split the contents of weeks 3 and 4 into 3 or 4 weeks.
Initially the accent was a little bit hard to understand, but after few minutes everything become crystal clear. Extremely useful course content.
The professor explained clearly as usual. The first 3 weeks is not too hard but final week took me really long time to understand.
It would be nice if you could deliver the problem's solutions after the course ended. I ran out of ideas for the BetterBWMatching problem and i couldn't overcome the time issues.
Sobre Programa de cursos integrados Estruturas de dados e algoritmos
Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.
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