Database

وصف الدورة

الهدف الرئيسي من هذا المقرر الدراسي هو تعريف الطلاب بأساسيات تقنية قواعد البيانات من خلال دراسة قواعد البيانات من ثلاث وجهات نظر: تلك الخاصة بمستخدم قاعدة البيانات ، ومصمم قاعدة البيانات ، ومسؤول قاعدة البيانات. إنه يعلم استخدام نظام إدارة قواعد البيانات (DBMS) من خلال معاملته على أنه صندوق أسود ، مع التركيز فقط على وظائفه وواجهاته. تشمل الموضوعات: مقدمة لأنظمة قواعد البيانات ، وأنظمة قواعد البيانات العلائقية ، ومنهجية تصميم قواعد البيانات ، و SQL والواجهات ، وتطوير تطبيقات قواعد البيانات ، ومفهوم المعاملات وإدارة قواعد البيانات. تتخذ هذه الدورة نهجًا مفتوحًا لوصف المفاهيم والتقنيات.

بنهاية الدورة ، يجب أن تفهم لغة الاستعلام الهيكلية (SQL) في أحد برامج DBMS (أداة مطور Oracle) التي تهتم بها.
 تخزين المعلومات.
 استرجاع المعلومات.
 تعديل المعلومات.
 حذف المعلومات

محتوي الكورس

  • . Content of Course

    Prerequisites:                                       

    • Oracle developer (10g or 11g edition) on Microsoft Windows or Linux operating systems.
    • Understanding of concepts presented in SQL Fundamentals course for Oracle developer materials.

     

     

     

    Lab

    Task

    HOURS

    1

    –          Introduction to Database Management System

    2

    2

    –          Entity Relationship diagram concepts (ERD)

    2

    3

    –          Mapping ER Diagram

    2

    4

    –          Retrieving data using the SQL SELECT statement.

    –          Restricting and sorting data

    2

    5

    –          Using Single-Row Functions to customize output.

    2

    6

    –          Reporting aggregated data using the Group Functions.

     

    7

    –          Displaying data from multiple tables.

    2

    8

    –          Using sub queries to solve queries.

    –          Data Manipulation Language    DML.

    2

    9

    –          Using Data Definition Language DDL statements to create and manage tables.

    2

    10

    –          Creating other schema objects: Views, Sequences, Synonyms …etc.

    2

    11

    –         Managing objects with data dictionary views.

    2

    12

    –          Normalization

    2

     

    –          Total Hours

    24

    1. Teaching and Learning Methods
    • Zoom meeting
    • Internet searches
    • Group projects
    • Practical exercises

     

    1. Student Assessment
    • Assignments and Quizzes
      • To measure professional and general skills
    • Discussion
      • To measure the participation of the student during the tutorial, professional and general skills
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