Desenvolvido por:   Universidade de Minnesota

  • Loren Terveen

    Ministrado por:    Loren Terveen, Professor

    Computer Science and Engineering

  • Haiyi Zhu

    Ministrado por:    Haiyi Zhu, Assistant Professor

    Computer Science and Engineering

  • Lana Yarosh

    Ministrado por:    Lana Yarosh, Assistant Professor

    Computer Science and Engineering

  • Dr. Brent Hecht

    Ministrado por:    Dr. Brent Hecht, Assistant Professor

    Computer Science and Engineering

  • Joseph A Konstan

    Ministrado por:    Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor

    Computer Science and Engineering
Informações básicas
Idioma
English
Como ser aprovadoSeja aprovado em todas as tarefas para concluir o curso.
Classificação do usuário
4.6 stars
Average User Rating 4.6Veja 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 de Minnesota
The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
Custo
Participar como ouvinteComprar curso
Acesso aos materiais do curso

Disponível

Disponível

Acesso a materiais valendo nota

Não disponível

Disponível

Receba uma nota final

Não disponível

Disponível

Obtenha um certificado compartilhável

Não disponível

Disponível

Classificações e avaliações
Avaliado em 4.6 de 5 decorrente de 58 avaliações

Very informative and helpful. Thank you for a great course!

Nice, expesially the second part of the course.

Good, a lot about research and collecting data.

Important concepts like tasks, walkthrough scenarios, use cases, and personas are very well explained with good examples helping to understand the differences. There were methods like the quantitative analysis and ideation that I have not come across in 15 years of my professional life as a software developer - so there is certainly still a message to be spread. Questions are presented within the videos to make sure you are keeping track. A lot of hints for further reading are given. Great learning material!

There are two minor points I would like to mention although they do in no way make me downrate the course. The part on the quantitative analysis I found a little too shallow and short - but on the other hand, these methods are more common and easily accessable in statistics courses and books. The ideation assignment I found a little hard - to come up with 100 ideas alone, not in a team which the method is designed for. On the other hand, it helped experience that the method works as I could come up with several really different ideas for the given problem.



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