Archieven: Evenementen

Active Learning Strategies for Effective and Engaging Instruction

01/01/2021 – 01/01/2025 @ 00:00 – If you are a novice or veteran instructor in search of engaging and effective alternatives to lectures, Active Learning Strategies for Effective and Engaging Instruction will take your instruction to the next level!    You’ll take on the role of an instruction librarian and help faculty identify systematic review best practices, Public Health students find […]

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Library Carpentry (online, self-directed)

01/05/2021 – 31/12/2025 @ 00:00 – Library Carpentry workshops teach people working in library- and information-related roles how to: Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks; Identify and use best practices in data structures; Learn how to programmatically transform and map data from one form to […]

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The Medical Library Association’s Self-Paced Courses (online in your own time)

03/06/2021 – 01/06/2036 @ Hele dag – The Medical Library Association’s Self-Paced Courses will help you acquire professional and workplace skills. You can learn to communicate more effectively, run meetings, design courses, and become a leader in your workplace. These courses use scenarios familiar to health information professionals and medical librarians. The skills they foster are valuable to a wide range of […]

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Introduction to Systematic Reviews and Critical Appraisal Course (online)

07/11/2022 – 18/11/2022 @ Hele dag – The Introduction to Systematic Reviews and Critical Appraisal Course is an online course offering an in-depth introduction to systematic reviews and evidence synthesis methods. The course runs over ten days with around three hours of learning per day, and is delivered by experts from the Centre for Reviews and Dissemination at the University of York. More information. […]

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Introductie in R (online)

18/11/2022 @ 10:00 – 16:30 – 1-daagse workshop waarin u kennis maakt met programmeren in R: één van de meest populaire programmeertalen voor Data Science. (GO) Meer informatie.

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