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1 Nawroz University College of Computer and IT Department of Computer Science Stage: Third Course Book Academic Year Subject Advanced Database No. of Hours No. of Units 6 Distribution of Marks First Semester 5 - Mid Year Second Semester 5 - Final Exam 0 20 Final Mark 100 Subject Lecturer Dr. Nawzat Sadiq Ahmed Scientific Title Lecturer E- Mail nawzat.ahmed@uoz.ac, nawzats@uod.ac Library and Classroom Time Table Day Saturday Sunday Monday Tuesday Wednesday First Morning Study lecture Second Information Management I Third Advanced DB First Evening Study lecture Second Third Advanced DB
2 Course Objectives not less than 100 words After completing this course, students must be learned how to design the database according to the specified requirements and modeling it according to the e-r model and e-e-r model. Then, they must be able to understand the physical and logical layers that describe the database by implementing the data models in Oracle, to understand the normalization of database tables, and to understand the Concurrency Control Techniques. Also, this course aims to overcome Database Recovery Techniques, Disk Storage, Basic File Structures, and Hashing and Indexing Structures for Files. Indeed, students must be learned distributed database types and data warehouse term. No. References Database Systems - Design, Implementation, and Management (11th Edition), Carlos Coronel and Steven Morris, (The main reference of theoretical) Database Systems: The Complete Book (2nd Edition). Hector Garcia- Molina, Jeffrey D. Ullman, Jennifer Widom Oracle Database SQL Language Reference, 12c Release 1, Mary Beth Roeser Oracle Database 12c: SQL Fundamentals I & II (2013). (The main reference of practical) Oracle Database 2 Day DBA 12c Release 1 (201).
3 Lectures Distribution Academic Year Week From Date To Subject Theoretical /9/ /10/3 2015/10/ /10/ /10/2 2015/10/ /11/7 2015/11/1 2015/11/ /11/ /12/5 2015/9/ /10/7 2015/10/1 2015/10/ /10/ /11/ 2015/11/ /11/ /11/ /12/2 2015/12/9 Introduction of the course - dealing with course book Database Systems: - The difference between data and information. - What a database is, the various types of databases, and why they are valuable assets for decision making. - The importance of database design. - How modern databases evolved from file systems. Database Systems: - About flaws in file system data management. - The main components of the database system. - The main functions of a database management system (DBMS). The Relational Database Model: - A Logical View of Data - Keys - Integrity Rules - Relational Algebra - The Data Dictionary and the System Catalog The Relational Database Model: - Relationships within the Relational Database - Data Redundancy Revisited - Indexes - Codd s Relational Database Rules - The Extended Entity Relationship Model - Entity Supertypes and Subtypes - Specialization Hierarchy - Inheritance - Subtype Discriminator - Disjoint and Overlapping Constraints - Completeness Constraint - Specialization and Generalization - Entity Clustering - Entity Integrity: Selecting Primary Keys - Natural Keys and Primary Keys - Primary Key Guidelines - When to Use Composite Primary Keys - When to Use Surrogate Primary Keys - Design Cases: Learning Flexible Database Design Normalization of Database Tables: - Database Tables and Normalization - Purpose of Normalization - How Normalization Supports Database Design - Data Redundancy and Update Anomalies - The Need for Normalization (Another Example) Normalization of Database Tables: - The Normalization Process - Conversion to First Normal Form - Conversion to Second Normal Form - Conversion to Third Normal Form - Normalization and Database Design Database Design: - Database Design - Testing and Evaluation
4 /12/ /12/ /12/ /1/2 2016/1/9 2016/1/ /1/ /2/6 2016/2/ /2/ /2/ /3/5 2016/3/ /12/ /12/ /12/ /1/6 2016/1/ /1/ /2/5 2016/2/ /2/ /2/2 2016/3/2 2016/3/9 2016/3/2 - Operation - Maintenance and Evolution - Data Model Verification - DBMS Software Selection Database Design: - Map the Conceptual Model to the Logical Model - Physical Design - Database Design Strategies - Centralized vs. Decentralized Design - What Is a Transaction? - Evaluating Transaction Results - A transaction is a logical unit of work - Transaction Properties - Transaction Management with SQL - The Transaction Log New Year's Day - Lost Updates - Uncommitted Data - Inconsistent Retrievals - The Scheduler with Locking Methods - Lock Granularity - Lock Types - Two-Phase Locking to Ensure Serializability - Deadlocks with Time Stamping Methods - Wait/Die and Wound/Wait Schemes with Optimistic Methods - Database Recovery Management - Transaction Recovery Mid-Year Exam. - Database Performance-Tuning Concepts - Performance Tuning: Client and Server - DBMS Architecture - Database Statistics - Query Processing - Indexes and Query Optimization - Optimizer Choices - Using Hints to Affect Optimizer Choices - SQL Performance Tuning - Index Selectivity - Conditional Expressions - Query Formulation - DBMS Performance Tuning - Query Optimization Example - The Evolution of Distributed Database Management Systems - DDBMS Advantages and Disadvantages - Distributed Processing and Distributed Databases - Characteristics of Distributed Management Systems - DDBMS Components - Levels of Data and Process Distribution Nawroz Anniversary
5 /3/ /3/ //2 2016//6 2016//9 2016// // // // // // /5/ 2016/5/7 2016/5/ /5/1 2016/5/ /5/ /5/ /5/ /6/1 2016/6/6 - Distributed Database Transparency Features - Distribution Transparency - Transaction Transparency - Distributed Requests and Distributed Transactions - Distributed Concurrency Control - Two-Phase Commit Protocol - Performance and Failure Transparency - Distributed Database Design - Data Fragmentation - Data Replication - Data Allocation - The CAP Theorem - C. J. Date s Twelve Commandments for Distributed Databases - The Need for Data Analysis - Business Intelligence - Business Intelligence Architecture - Business Intelligence Benefits - Business Intelligence Evolution - Business Intelligence Technology Trends - Decision Support Data - Operational Data vs. Decision Support Data - Decision Support Database Requirements - The Data Warehouse - Data Marts - Twelve Rules That Define a Data Warehouse - Star Schemas - Facts - Dimensions - Attributes - Attribute Hierarchies - Star Schema Representation - Performance-Improving Techniques for the Star Schema - Data Analytics - Data Mining - Predictive Analytics - Online Analytical Processing - Multidimensional Data Analysis Techniques - Advanced Database Support - Easy-to-Use End-User Interface - OLAP Architecture - Relational OLAP - Multidimensional OLAP - Relational vs. Multidimensional OLAP - SQL Extensions for OLAP - The ROLLUP Extension - The CUBE Extension - Materialized Views Project Design Project Presentation Final Exam practical Final Exam - theoretical توقيع رئيس القسم توقيع التدريسي
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