| Description
| 1.Background knowledge of Data Model: Data, Database, Database System, Database Management System, Data Model, Advantage and Disadvantage of Database 2.Relational Model: Structure of Relational Model, Terminology, Key, SQL, Relational Algebra 3.Normalization: Functional Dependence, First Normal Form, Second Normal Form, Third Normal Form, Boyce-Codd Normal Form, Fourth Normal Form 4.The Construction of A Data Model: The Goal of Data Model Construction, User View, The Association Between Entities, Depicting Tools for Data Model, The Data Model Construction Methodology, The Example of Data Model Construction 5.Data Model Construction and System Development: Data Source, Data Description, The Relationship Between Data Model Construction and System Development 6.Data warehouse and OLAP technology 7.Data Preprocessing, Data Cleaning, Data reduction, Discretization and Concept Hierarchy Generation 8.Data Mining Primitives, Languages and System
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