Para quem é direcionado este curso: Programmers with basic experience looking to understand the practical and conceptual underpinnings of algorithms, with the goal of becoming more effective software engineers. Computer science students and researchers as well as interdisciplinary students (studying electrical engineering, mathematics, bioinformatics, etc.) aiming to get more profound understanding of algorithms and hands-on experience implementing them and applying for real-world problems. Applicants who want to prepare for an interview in a high-tech company.


Desenvolvido por:   Universidade da Califórnia, San Diego, Higher School of Economics

  • Alexander S. Kulikov

    Ministrado por:    Alexander S. Kulikov, Visiting Professor

    Department of Computer Science and Engineering

  • Michael Levin

    Ministrado por:    Michael Levin, Lecturer

    Computer Science

  • Pavel  Pevzner

    Ministrado por:    Pavel Pevzner, Professor

    Department of Computer Science and Engineering

  • Neil Rhodes

    Ministrado por:    Neil Rhodes, Adjunct Faculty

    Computer Science and Engineering
Informações básicas
NívelIntermediate
Compromisso4 weeks of study, 4-8 hours/week
Idioma
English
Como ser aprovadoSeja aprovado em todas as tarefas para concluir o curso.
Classificação do usuário
4.4 stars
Average User Rating 4.4Veja o que os aprendizes disseram
Programa

Perguntas frequentes
Como funciona
Trabalho
Trabalho

Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.

Ajuda dos seus colegas
Ajuda dos seus colegas

Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.

Certificados
Certificados

Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.

Desenvolvedores
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.
Higher School of Economics
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru
Custo
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Acesso a materiais valendo nota

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Receba uma nota final

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Obtenha um certificado compartilhável

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Classificações e avaliações
Avaliado em 4.4 de 5 decorrente de 166 avaliações

Another great course! I am a little sad since it was only 4 weeks long when the rest were about 5 weeks each. I feel like there may have been another topic (regular expressions?) that could have been covered but these are still great and now I see how we can do string matching in things like text editors and do them in O(n) time. Wonderful series, I've certainly grown a lot in just these past 4 online courses, keep up the great work! My advice to people taking these courses, be prepared to put time and really think about what you're doing. Try applying the things here to things you see in real life and you'll find they have much more relevance. Cheers and good luck!

Some tasks was hard to understand and solve, but it in general it was good.

The course contents we useful and easy to learn for the most part. The assignments and spot quizzes helped a lot to understand the string algorithms. I appreciate all the effort the instructors put to create the course materials.

Few things to improve:

1) Some of videos in week3 and 4 were hard to understand due to English speaking skills. I found a lot of grammar mistakes in the subtitles and the interactive transcripts.

2) Please consider adding more contents like Boyer Moore algorithm, regular expression and etc.

Initially the accent was a little bit hard to understand, but after few minutes everything become crystal clear. Extremely useful course content.



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