Information Service Engineering

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Course Details

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FREE

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Course Provider

openHPI online courses
Keeping pace with the rapidly developing world of information technology is a need that Hasso Plattner Institute (HPI) helps to fill with openhpi.de. openHPI works according to the principle of “Massive Open Online Courses” (MOOC): * openHPI courses match the high-quality curriculum at HPI, Germany’s highest ranked computer science institute. On the basis of instructional videos, interactive self-tests and practical exercises, participants receive in-depth knowledge on multi-faceted to...
Keeping pace with the rapidly developing world of information technology is a need that Hasso Plattner Institute (HPI) helps to fill with openhpi.de. openHPI works according to the principle of “Massive Open Online Courses” (MOOC): * openHPI courses match the high-quality curriculum at HPI, Germany’s highest ranked computer science institute. On the basis of instructional videos, interactive self-tests and practical exercises, participants receive in-depth knowledge on multi-faceted topics in IT technology. * openHPI courses are conducted entirely online. All material can be accessed from any device that is Internet-accessible, whether desktop, laptop, Smartphone or tablet. * openHPI courses are open: that means participation is free and there are no prerequisites of any kind. * openHPI courses enable individual participants to join in a virtual learning community with other participants. Lively discussion forums and virtual learning groups encourage a stimulating exchange of questions and a collaborative learning of the subject. * openHPI courses are targeted at different audiences. Part of our courses address a general audience and introduce the foundations of information technology, e.g., the design and structure of the Internet and the World Wide Web, the structure and operation of database systems or security in information technology. Other courses are geared towards ICT professionals who wish to keep up with the very latest innovations in computer science research, e.g., In-Memory Data Management, the Semantic Web, or Multicore and Cloud Computing. Courses are conducted in German and English.

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Course Description

The information available today exceeds all limits. Access to this abundance of data is only possible via search engines and sophisticated information processing applications. To enable the transition from raw data to well-structured knowledge, technologies such as natural language processing, information retrieval, and data and knowledge mining must be applied. In this MOOC, you will learn the fundamentals of natural language processing as well as the basics of Linked Data-based knowledge representation and machine learning to enable the transition from unstructured data to machine processable knowledge.
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