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Knowledge Analysis & Management

Description

Knowledge — the tacit insights, explicit understandings, practical know-how, and theoretical know-why — is what allows people and organizations to function intelligently. Knowledge Analysis and Management is a broad field that covers the entire lifecycle of knowledge: from identifying, representing, capturing, structuring and sharing valuable intellectual assets. Students will learn to represent knowledge with natural and formal languages, access and integrate knowledge sources on the Web, classify and use knowledge for decision making, transfer and disseminate knowledge within and across organizations. The course will feature examples of case studies, methods and tools that are particularly suitable for managing software-specific knowledge, e.g., pattern languages, design spaces and architectural decision meta-models.

 

 

The course is not offered in the academic year 2017/18

Additional information

Semester
Fall
Academic year
2017-2018
ECTS
6
Education
Master of Science in Informatics, Elective course, Lecture, 1st and 2nd year

Master of Science in Software & Data Engineering, Core course, Lecture, 2nd year