Course Title: Practical Database Concepts

Part A: Course Overview

Course Title: Practical Database Concepts

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

ISYS3412

City Campus

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021

ISYS3414

RMIT University Vietnam

Undergraduate

171H School of Science

Face-to-Face

Viet1 2020,
Viet3 2020,
Viet1 2021,
Viet2 2021

Course Coordinator: Dr Santha Sumanasekara

Course Coordinator Phone: +61 3 9925 9673

Course Coordinator Email: santha.sumanasekara@rmit.edu.au

Course Coordinator Location: 014.09.009

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

Databases and database technology are having a major impact on the growing use of computers. They play a critical role in almost all areas where computers are used.

This subject introduces you to basic database design and implementation concepts, database design techniques, and efficient data management. You will use structured query languages to manipulate data and perform a variety of tasks including querying and report writing to meet organisational needs.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes (PLOs) for BP162 - Bachelor of Information Technology and BP232 – Bachelor of Technology (Computing Studies) programs.

 

1. Enabling Knowledge

You will gain skills as you apply knowledge effectively in diverse contexts.

 

2. Critical Analysis

You will learn to accurately and objectively examine and consider computer science and information technology (IT) topics, evidence, or situations, in particular to:

  • Analyse and model requirements and constraints for the purpose of designing and implementing software artefacts and IT systems
  • Evaluate and compare designs of software artefacts and IT systems on the basis of organisational and user requirements.

 

3Problem Solving

Your capability to analyse problems and synthesise suitable solutions will be extended as you learn to:

  • Design and implement software solutions that accommodate specified requirements and constraints, based on analysis or modelling or requirements specification.


Course Learning Outcomes

Upon successful completion of this course you should be able to:

  • CLO 1: describe the underlying theoretical basis of the relational database model and apply the theories into practice;
  • CLO 2: Explain the main concepts for data modelling and characteristics of database systems;
  • CLO 3: develop a sound database design using conceptual modelling mechanisms such as entity-relationship diagrams;
  • CLO 4: develop a database based on a sound database design;
  • CLO 5: Apply SQL as a programming language to define database schemas, update database contents and to extract data from databases for specific users’ information needs;
  • CLO 6: develop a simple web-based interface for a database


Overview of Learning Activities

The learning activities included in this course are:

  • Lectures: Key concepts are explained, course material is presented, and the subject matter is illustrated with demonstrations and examples.
  • Tute-lab sessions focus on analyse and problem solving of given scenarios, such as data modelling problems, and provide practice in the application of theory along with tutors and peers.
  • Moderated online discussion forums provide a question-answer forum for subject and assessment matters
  • Private study is important to work through the course learning material and gain practice at solving conceptual and technical problems.
  • Peer-assisted or mentor-led learning programs may be available.

 

Total Study Hours

A total of 120 hours of study is expected during this course, comprising:

Teacher-directed hours (48 hours): lectures and tute-lab sessions. Each week there will be 2 hours of lecture and 2 hours of tute-lab. You are encouraged to participate during lectures through asking questions, commenting on the lecture material based on your own experiences and through presenting solutions to written exercises. The tute-lab sessions will introduce you to the tools necessary to undertake the assignment work.

Student-directed hours (72 hours): You are expected to be self-directed, studying independently outside class.


Overview of Learning Resources

The course is supported by the Canvas learning management system which provides specific learning resources. See the RMIT Library Guide at http://rmit.libguides.com/compsci 


Overview of Assessment

The assessment for this course comprises both practical and theoretical work involving the analysis, design and development of database systems and querying database systems to meet information needs. Across all assessment tasks you will be required to demonstrate your critical analysis skills and database programming skills. All assessment tasks are individual.

Note: This course has no hurdle requirements.

The assessment for this course comprises:

Assessment Task 1: Assignment -- 10%
This assessment involves understanding and evaluation of various data modelling techniques and application of the relational data model and SQL to define database schema and update database contents.

This assessment task supports CLOs 1, 2, 4.

Assessment Task 2: In-class SQL Assessment - 30%
This assessment involves programming using SQL to extract information from databases.

This assessment task supports CLO 5.

Assessment Task 3: Written Assignment — 20%
This assessment is a written assignment on designing a database schema using the ER diagram and analysis of relational database design using functional dependency and normal forms.

This assessment task supports CLOs 3, 6

Assessment Task 4: Project - 40%
This assessment is a project that encompass all stages of developing a database system, from design, implementation to data analysis using the database programming language SQL. There are interim milestones for the project.

This assessment covers all course learning outcomes CLOs 1, 2, 3, 4, 5, 6.