Dear Learning Community,
We are happy to announce a new course on the channel of the National Academy of Science and Engineering (acatech), starting on April 23. Following "Hands-on Industry 4.0" and "Machine Learning", a 4-week course on smart services (in German) is being offered.
Smart Service Welt (in German)
Digital transformation creates potential for the development of innovative business models on which smart services can be realized. Smart Services are data- and platform-based services which complement the offer of purely physical products and allow a flexible and individual orientation tailored to the customers’ needs. acatech and Accenture have brought together experts from business, academia, and politics to explain to a broad public the operating principles, requirements and possibilities of such services. Look forward to theoretical knowledge as well as practical, cross-sectoral orientational knowledge in the fields of business model innovation, technological enablers, management and corporate structure, and best practices. Upon successful completion of the course, you have the chance to receive a certificate.
Are you interested? Please enroll here to the free online course at: https://mooc.house/courses/ssw-2018
We look forward to seeing you in the course and thank you for sharing this information in your network. An English version of this course will follow on June 19, 2018 on https://open.sap.com/courses/ssw1-tl.
Information Service Engineering (in English)
If you want to learn more about semantic search and machine learning or if you work as a data or web scientist, the openHPI course Information Service Engineering which starts on April 16 might be of particular interest.
In this 6-week course (in English) participants will learn the fundamentals of natural language processing as well as the basics of Linked Data-based knowledge representation. The course will be taught by Harald Sack, who was a senior researcher at the HPI for many years and is currently a professor at the Karlsruhe Institute of Technology (KIT). In today's world, access to and availability of information are almost unlimited. As a result, we need search engines and intelligent programs to process these vast amounts of data. It is crucial to achieve ever more precise, more complete, and more reliable results when searching for and linking knowledge. This is achieved, for example, by systems that detect and correct errors. In this course, Prof. Sack and his colleague, Dr. Maria Koutraki will introduce methods that enable the transition from raw data to well-structured knowledge. ”We will demonstrate how natural language texts can be analyzed using statistical models and machine learning, and how this information can be described with the help of formal knowledge representation,” Prof. Sack explains. He will also show how automated image and video analysis function, how handwritten messages are translated into machine-readable language, and how computers programs are able to read printed texts. For successful participation learners can get a record of achievement, and in addition a qualified certificate for which HPI offers credit points.
Did we spark your interest? Then enroll here for free: https://open.hpi.de/courses/semanticweb2017
the mooc.house Team