Introduction to concepts and methods of Knowledge Engineering on a personal scale. Aimed at students who foresee the need to structure and activate information on their own terms in research, business, authoring, presence on the Internet, etc., or do original research in that area. Includes expressing tasks, processes, and documents in terms of essential features and goals, and how to let computers translate this ?deep structure? into the ?surface expression? appropriate to a desired use. Specifically, how to create ?personal agents? to extend the reach in various directions (memory enhancement, Web mining, and task automation). Among the methodological issues to be treated: semantic tagging (e.g., XML) vs. informal structuring; Markovian vs. Bayesian search methods; making the design/fabricate/evaluate cycle accessible to the layman; scripting language as a personal servant.