Saint-Petersburg State University Graduate School of Management Information Technologies in Management Department Knowledge Engineering Workbook for E-portfolio (V. 2) Tatiana A. Gavrilova DSc, PhD, Professor
[email protected] Sofya V. Zhukova PhD, Associate Professor
[email protected] 2010 2 Content Introduction Chapter 1. Methodical recommendations and examples for Assignment list 1 Chapter 2. Methodical recommendations and examples for Assignment list 2 Chapter 3. Lists 1 and 2 of personal assignments Chapter 4. Reading for the course Conclusion References Appendices Appendix 1. Mind mapping software Appendix 2. History of Computer science Appendix 3. Information Mapping Software Appendiix 4. Text to create Genealogy 3 Introduction This course introduces students to the practical application of intelligent technologies into the different subject domains (business, social, economical, educational, human, etc.). It will give students insight and experience in key issues of data and knowledge processing in companies. In class and discussion sections, students will be able to discuss issues and tradeoffs in visual knowledge modeling, and invent and evaluate different alternative methods and solutions to better knowledge representation and understanding, sharing and transfer. It is targeted at managers of different level, involved in any kind of knowledge work. Lecture course’ goals are focused at using the results of multidisciplinary research in knowledge engineering, data structuring and cognitive sciences into information processing and modern management. The hand-on practice will be targeted at e-doodling with Mind Manager and Cmap software tools. The class features lectures, discussions, short tests and, students will have 20 hand-on practices (or assignments) using mind-mapping and concept mapping software.