Автор:   Миннесотский университет

  • Loren Terveen

    Преподаватели:    Loren Terveen, Professor

    Computer Science and Engineering

  • Haiyi Zhu

    Преподаватели:    Haiyi Zhu, Assistant Professor

    Computer Science and Engineering

  • Lana Yarosh

    Преподаватели:    Lana Yarosh, Assistant Professor

    Computer Science and Engineering

  • Dr. Brent Hecht

    Преподаватели:    Dr. Brent Hecht, Assistant Professor

    Computer Science and Engineering

  • Joseph A Konstan

    Преподаватели:    Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor

    Computer Science and Engineering
Basic Info
Course 2 of 5 in the User Interface Design Specialization.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
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Программа курса

Часто задаваемые вопросы
Как это работает
Задания курса
Задания курса

Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.

Помощь сокурсников
Помощь сокурсников

Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.

Сертификаты
Сертификаты

Получите документы о прохождении курсов и поделитесь своим успехом с друзьями, коллегами и работодателями.

Авторы
Миннесотский университет
Стоимость
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Рейтинги и отзывы
Оценка 4.6 из 5 по 53 отзывам

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.