Learning Objectives of IT-FPX2230: Introduction to Database Systems

by Posted on

IT-FPX2230: Introduction to Database Systems – Course Overview

IT-FPX2230: Introduction to Database Systems is a foundational course in Capella University’s Bachelor of Science in Information Technology program. This course introduces students to the key concepts of database systems, including database design, management, and implementation. Students will explore the fundamental principles of relational databases, learn how to interact with databases using SQL (Structured Query Language), and understand how databases are structured to store and retrieve data efficiently.

What You Will Learn in IT-FPX2230: Introduction to Database Systems

In this course, students will gain a comprehensive understanding of how databases are used to store, manage, and retrieve data for various applications in the IT industry. Key concepts include relational database management systems (RDBMS), SQL queries, data modeling, normalization, and the development of efficient database structures. This knowledge is essential for anyone pursuing a career in data management, database administration, or software development.

Key Topics Covered in IT-FPX2230: Introduction to Database Systems

The course covers a wide range of database-related topics, including:

  • Database Fundamentals: Learn about the importance of databases, their applications, and the fundamental components that make up a database system, including tables, relationships, and keys.

  • Relational Database Management Systems (RDBMS): Understand the structure and workings of RDBMS, focusing on popular systems such as MySQL, PostgreSQL, and Microsoft SQL Server.

  • SQL (Structured Query Language): Master SQL for creating, reading, updating, and deleting data (CRUD operations). Students will learn how to write and optimize SQL queries for data retrieval and manipulation.

  • Database Design and Modeling: Study the process of database design, including the use of Entity-Relationship (ER) diagrams to visually represent database structures.

  • Normalization: Learn how to organize data to reduce redundancy and improve database efficiency through normalization techniques (1NF, 2NF, 3NF).

  • Database Indexing and Optimization: Explore indexing strategies for improving query performance, and understand how to optimize database performance for large datasets.

  • Data Integrity and Security: Understand the importance of data integrity and security in database systems, including constraints, backups, and user permissions.

  • Database Transactions: Learn how databases handle transactions, including the concepts of ACID properties (Atomicity, Consistency, Isolation, Durability).

  • NoSQL Databases: Gain a brief introduction to non-relational (NoSQL) databases, such as MongoDB and Cassandra, and understand when they are used in contrast to traditional relational databases.

Published by Ivy