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Guided learning journeys that build knowledge step by step.
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7812 Paths · page 339 / 782
This graduate-level path equips e-business professionals with a systematic understanding of information systems in digital commerce. It covers digital business models, e-commerce platform architectures, B2B/B2C systems, online payment mechanisms, and analytics, grounded in information science and foundational business concepts. The path progresses from business and IS fundamentals through core e-commerce concepts to advanced applications.
A comprehensive graduate-level learning path covering the theory and practice of semantic technologies. Learners will master knowledge representation, ontology engineering, reasoning, triple stores, SPARQL querying, and semantic services to design and implement intelligent information systems.
This advanced learning path equips preservation professionals with the knowledge and skills to preserve digital information for long-term access and usability. It covers foundational concepts, the OAIS reference model, preservation metadata, strategies such as migration and emulation, and preservation planning, with cross-domain links to archival science.
This advanced graduate-level path equips digital humanists with the knowledge and skills to apply information science principles to humanities research. It covers foundational information science concepts, data modeling, text analysis, digital editing, cultural heritage informatics, and computational methods, culminating in a capstone project that integrates these skills.
This graduate-level path equips learners with the knowledge and skills to rigorously evaluate information retrieval systems. It covers foundational IR concepts, the construction and use of test collections (TREC), offline evaluation metrics (precision, recall, F-measure, and others), and user-centered evaluation methods, culminating in the ability to design and interpret comprehensive IR evaluations.
A structured learning path for librarians and information professionals to master the principles and practices of library classification and cataloging. The path covers foundational information science concepts, classification theories, major classification systems (Dewey and LC), subject headings, and cataloging standards (AACR2, RDA, MARC), culminating in practical application.
This learning path equips information professionals with the knowledge and skills to systematically study and understand information users. It covers foundational concepts in information science, user needs assessment, information seeking behavior, user studies, personas, usability, and user-centered design, culminating in practical application.
This learning path equips information science students with practical career skills to analyze and solve information science problems. It covers foundational concepts, qualitative and quantitative research methods, and culminates in a capstone project applying these methods to real-world information challenges.
This learning path guides graduate information science students through the complete lifecycle of a real-world information project, from defining the problem and gathering requirements to designing, implementing, evaluating, documenting, and presenting the solution. It integrates core information science theories with practical project management and technical skills, culminating in a capstone project that demonstrates the full skillset.
This advanced learning path equips IT managers with a comprehensive understanding of IT governance and information systems management. It covers foundational concepts, strategic alignment, risk management, resource optimization, and performance measurement, culminating in practical applications of frameworks like COBIT and ITIL.