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openHPI is a free, open learning platform from the Hasso Plattner Institute, offering courses on IT-Technologies and digital transformation.
Explore in-memory column-oriented databases for enterprise data management. Learn design principles, advantages over traditional systems, and implications for future applications and development.
Explore parallel programming foundations, from shared memory to distributed systems, covering key concepts, architectures, and best practices for modern software development.
Learn industry-standard business process and decision modeling using BPMN and DMN. Gain practical experience with Signavio and Camunda tools for analysis, simulation, and execution of business processes.
Explore Semantic Web technologies for advanced knowledge representation and information retrieval. Learn to create ontologies, access semantic data, and utilize Linked Data in the evolving Web of Data.
Explore TCP/IP fundamentals, network technologies, IPv4/IPv6, transport protocols, and Internet applications. Gain comprehensive insights into the complex world of Internet technologies.
Learn to model business processes and decisions using BPMN and DMN standards, enhancing your ability to analyze and represent operational workflows and decision-making structures.
Learn to represent, access, and leverage semantic data on the Web. Explore knowledge representation, RDF, SPARQL, and applications in the Web of Data for improved information retrieval and processing.
Explore DNA structure, genetic variants, and their impact on cell functions and diseases. Learn to apply computer science concepts to analyze the code of life interactively.
Explore principles and technologies of Linked Data for massive-scale data sharing and reuse. Learn about ontologies and the Web of Data to revolutionize data discovery, access, and integration.
This course introduces you to helpful skills for advancing from user research to idea generation.
Develop small Java projects in teams, transforming knowledge into competencies through hands-on activities and game creation.
Learn essential design research methods to discover innovative solutions through observation, interviewing, and interpretation techniques. Develop skills to uncover user needs and gather inspirations for impactful designs.
Explore computational learning theory, focusing on binary classification and incremental learning models, with insights into various AI approaches and research areas.
This course provides an introduction to the topic and will particularly address mainframe architecture and application development.
Why is the Internet insecure by nature of its design? What are the weak spots of the Internet and how are they exploited by cybercriminals? We want to answer these questions and a lot more in this course.
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