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DBMSDimu' Rumpak, 20091 Welcome and Mind Mapping This is Database Management System I’m Didimus Rumpak, MSi. Mind Mapping Course: (see next page)

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Presentation on theme: "DBMSDimu' Rumpak, 20091 Welcome and Mind Mapping This is Database Management System I’m Didimus Rumpak, MSi. Mind Mapping Course: (see next page)"— Presentation transcript:

1 DBMSDimu' Rumpak, 20091 Welcome and Mind Mapping This is Database Management System I’m Didimus Rumpak, MSi. Mind Mapping Course: (see next page)

2 DBMSDimu' Rumpak, 20092 3. Structured Query Language 7. Mid-Exam 1. DBMS Concept 4. Data Modeling and E-R Model 2. Relational Model 5. Database Design 6. Database Administration Database Management System 8. Learn how to use DBMS in lab. 9. Final Exam

3 DBMSDimu' Rumpak, 20093 1. DBMS Concept Objectives: Identify the purpose and scope of this course Survey the why, what, and how of database processing Understand the reasons for using a database (why) Learn the functions and components of database systems (what) Know the three major steps in creating a database (how)

4 DBMSDimu' Rumpak, 20094 2. Relational Model Objectives: Learn the conceptual foundation of the relational model Understand how relations differ from nonrelational tables Learn basic relational terminology Learn the meaning and importance of keys, foreign keys, and related terminology

5 DBMSDimu' Rumpak, 20095 2. Relational Model Continued: Understand how foreign keys represent relationships Learn the purpose and use of surrogate keys Learn the meaning of functional dependencies Understand two basic relational design principles

6 DBMSDimu' Rumpak, 20096 3. Structured Query Language Objectives: Learn basic SQL statements for creating database constructs Learn basic SQL SELECT statements and options for processing a single table Learn basic SQL SELECT statements for processing multiple tables with sub queries Learn basic SQL SELECT statements for processing multiple tables with joins Learn SQL statements to add, modify, and delete data

7 DBMSDimu' Rumpak, 20097 4. Data Modeling and E-R Model Objectives: Learn the basic stages of a database development project Understand the purpose and role of a data model Know the principal components of the E-R data model Understand how to interpret both traditional and UML-style E-R diagrams Learn to construct traditional E-R diagrams

8 DBMSDimu' Rumpak, 20098 4. Data Modeling and E-R Model Continued: Know how to represent 1:1, 1:N, N:M, and binary relationships with the E-R model Know how to represent recursive relationships with the E-R model Understand two types of weak entities and know how to use them Learn how to create an E-R diagram from source documents

9 DBMSDimu' Rumpak, 20099 5. Database Design Objectives: Learn how to transform E-R data models into relational designs Understand the nature and background of normalization theory Know how to use normalization criteria to evaluate relational designs Understand the need for denormalization

10 DBMSDimu' Rumpak, 200910 5. Database Design Continued: Learn how to represent weak entities with the relational model Know how to represent 1:1, 1:N, and N:M binary relationships Know how to represent 1:1, 1:N, and N:M recursive relationships Learn SQL statements for creating joins over binary and recursive relationships

11 DBMSDimu' Rumpak, 200911 6. Learn how to use DBMS Objectives: Learn how to use Microsoft Access to: – Create tables – Create relationships – Create queries using the query design tool – Create basic forms – Create forms with lookup combo boxes – Create basic reports – Create parameterized reports

12 DBMSDimu' Rumpak, 200912 Textbook and Reading Course Pack – Contains lecture notes (the slides) and other reading Occasional other reading discovered during this semester – Announced in class the previous week, and added to online syllabus Recommended Textbook: David M. Kroenke, 2002 “Database Concept”. 1ed., Prentice Hall. David M. Kroenke, 2002 “Database Processing: Fundamentals, Design & Implementation”. 7ed., Prentice Hall.

13 DBMSDimu' Rumpak, 200913 Grading Numeric grade - 20% Homework 3 Assignment, top 10 score count – 30% Mid Exams (numeric grade: 0 –100) – 50% Final Exams (numeric grade: 0 –100) The numeric grade will be related to a letter as follow: 86% - 100% = A; 70% - 85% = B; 56%- 69% = C <55 = Fail

14 DBMSDimu' Rumpak, 200914 6. U have to prepared Accesories: USB Flash disk or CD-RW Print out course materials (handout) And several application cases that will be informs next.

15 DBMSDimu' Rumpak, 200915 Universitas Indonesia Graduated School of Library, Information, Archive Studies With Majoring in Information Science, Alumnus 2002


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