Для кого этот курс: This course is aimed at both students and professionals. A basic understanding of logic, sets, and statistics (at the undergraduate level) is assumed. Basic computer skills are required to use the software provided with the course (but no programming experience is needed). Participants are also expected to have an interest in process modeling and data mining but no specific prior knowledge is assumed as these concepts are introduced in the course.


Автор:   Технический университет Эйндховена

  • Wil van der Aalst

    Преподаватели:    Wil van der Aalst, Professor dr.ir.

    Department of Mathematics & Computer Science
УровеньIntermediate
Выполнение6 weeks of study, 3 to 5 hours/week of material + self study
Язык
English
Требования к аппаратным средствамLaptop or computer with 1+ GB memory, able to run Java tools.
Как пройти курсЧтобы пройти курс, выполните все оцениваемые задания.
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Задания курса
Задания курса

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Авторы
Технический университет Эйндховена
Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956, and has around 8,500 students and 3,000 staff. TU/e has defined strategic areas focusing on the societal challenges in Energy, Health and Smart Mobility. The Brainport Eindhoven region is one of world’s smartest; it won the title Intelligent Community of the Year 2011.
Рейтинги и отзывы
Оценка 4.8 из 5 по 138 отзывам

I learnt a lot from this course. Excellent!

Brilliant course. Would fully recommend

Extremely interesting subject. The exposition is for the most part remarkably clear, though it amounts to a necessarily quick introduction to the vast variety of tecniques and tools. The student is supposed to conduct a lot of practice as self-study and experimenting. Giving 4 stars out of 5 instead of full marks only because I feel this course might work better in an extended format, going more in-depth on real cases and guiding the students through the hurdles and subtleties of such analyses.

5