90 likes | 343 Views
سیلابس و مراجع درس هوش تجاری در 5 دانشگاه مختلف دنیا. مهدی گرکانی. Oshkosh College of Business. Introduction to BI – Understanding Data Modeling Decision Making – Understanding DataBase Design Data warehousing Data Warehousing Architectures
E N D
سیلابس و مراجع درس هوش تجاری در 5 دانشگاه مختلف دنیا مهدی گرکانی درس هوش تجاری (http://ceit.aut.ac.ir/islab)
Oshkosh College of Business • Introduction to BI – Understanding Data Modeling • Decision Making – Understanding DataBase Design • Data warehousing • Data Warehousing Architectures • Data Warehousing – ETL: Analyzing data using SQL – multitable queries • Guest Speakers: Todd Thiel,Yvette Hammonds, KC Analyzing data • using SQL – advanced queries • Data Capture & Quality • Data Mining • Text Mining • Knowledge Management • Knowledge Management & Expert Systems. • Expert Systems آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)
Oshkosh College of Business • Mulcahy, “ABCs of Business Intelligence”, CIO Magazine, Jan 2007. • Jacobs, “Data Mining:What General Managers Need to Know”, Harvard Management Update, October 1999. • Hammond, Keeney, and Raifa, “The Hidden Traps of Decision Making”, Harvard Business Review, Jan 2006. • Pfeffer and Sutton, “Evidence-based Management”, Harvard Business Review, Jan 2006. • Baserman and Chugh, “Decisions without Blinders”, Harvard Business Review, Jan 2006. • Davenport, “Competing on Analytics”, Harvard Business Review, Jan 2006. • Hayashi, “When to Trust Your Guts”, Harvard Business Review, Feb 2001. • Inmon, Building the Data Warehouse, 3rd Ed., Chapter 1, John Wiley, 2002. • Cooper, Watson, Wixom, Goodhue, “Data Warehousing Supports Corporate Strategy at First American”, MIS Quarterly, Dec 2000. • Watson, Ariyachandra, “Data Warehouse Architectures: Factors in the Selection, Decision, andthe Success of the Architectures”. آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)
DALHOUSIE University • Introduction/Overview • Information Seeking Behaviors and Needs – A Business Context • Sources of Company Information • Industry Information • Numbers… Economics, Statistics and Demographics • Government Information and the Business World • A Quick Overview of Sources of information on Stock Markets and Mutual Funds • Trademarks • Putting it all together…Competitive Intelligence • The Next Stage…Knowledge Management? • Management Issues and Course Summary آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)
DALHOUSIE University • Business Information: How to Find it, How to Use It. Lavin, Micheal,R. 2nd ed. Phoenix, AZ: Oryx Press, • 1992. • Business Information Sources. Daniells, Lorna M., 3rd ed. Berkeley, Ca, U. of California Press, 1993. • Business Reference Services and Sources: How End Users and Librarians Work Together, Shelfer, Katherine M., • editor. New York: Haworth Press, Inc., 1997, 27-39. • The Canadian B2b Research Sourcebook : Your Essential Guide, Weaver, Maggie ed., Ottawa: Canadian • Library Association, 2001. • International Business Information: How to Find it, How to Use It, Pagell, Ruth A. Phoenix, AZ: Oryx Press, • 1994. • Navigating Business Information Sources: a practical guide for information managers, Burke, Maria E. and Hazel • Hall. London: Library Association Publishing, 1998. آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)
University of California • Course Overview, Intro to Data Mining • Market Basket Analysis & Association Rules, CRM • Market Segmentation & Clustering, Prepare data • Prediction & Classification – Decision Tree • Personalization & Nearest Neighbor • Financial Forecasting & Neural Networks • Link Analysis & Web mining • Misc topics • References : Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, Second Edition آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)
Indian School of Business • What is data mining? • Exploratory data analysis • Supervised learning - Classification and Prediction • Simple Classification Schemes • Classification and Prediction - Logistic regression • Classification and Prediction - Discriminant analysis • Affinity Analysis • Unsupervised Learning • References : “Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner” by Galit Shmueli, Nitin R. Patel and Peter C. Bruce, Wiley, 2007 آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)
Georgia Flagship Business School • Introductions, Course Overview (Syllabus) • Management Support Systems: An Overview • Collaborative Computing Technologies: Group Support Systems • Decision-Making, Systems, Modeling, and Support • Decision Support Systems: An Overview • Modeling and Analysis • Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analystics (OLAP) and Visualization (All Sections) • DSS Development and Implementation • Knowledge Management (KM) • Enterprise Information Systems: EIS, Enterprise Portals, ERPs, Customer Relationship Management (CRM), Process Life-cycle Management (PLM), Business Process Management (BPM), and Business Activity Monitoring (BAM) • Artificial Intelligence and Expert Systems: Knowledge-based Systems • Knowledge Acquisition, Representation and Reasoning • Advanced Intelligent Systems: Neural Computing, Genetic Algorithms, and Fuzzy Logic آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)
Georgia Flagship Business School • References : • Turban and Aronson (and Liang) DSS & IS Textbook آزمايشگاه سيستم هاي هوشمند (http://ce.aut.ac.ir/islab)