Course Title: Database Concepts
Credit Points: 12.00
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
ISYS1055 |
City Campus |
Postgraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Sem 1 2006, Sem 2 2006, Sem 1 2007, Sem 2 2007, Sem 1 2008, Sem 2 2008, Sem 1 2009, Sem 2 2009, Sem 1 2010, Sem 2 2010, Sem 1 2011, Sem 2 2011, Sem 1 2012, Sem 2 2012, Sem 1 2013, Sem 2 2013, Sem 1 2014, Sem 2 2014, Sem 1 2015, Sem 2 2015, Sem 1 2016 |
ISYS1055 |
City Campus |
Postgraduate |
171H School of Science |
Face-to-Face |
Sem 1 2017, Sem 2 2017, Sem 1 2018, Sem 2 2018, Sem 2 2019, Sem 1 2020, Sem 2 2020, Sem 1 2021, Sem 2 2021 |
ISYS1055 |
City Campus |
Postgraduate |
175H Computing Technologies |
Face-to-Face |
Sem 2 2022, Sem 1 2023, Sem 2 2023, Sem 1 2024 |
ISYS1057 |
City Campus |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Sem 1 2006, Sem 2 2006, Sem 1 2007, Sem 2 2007, Sem 1 2008, Sem 2 2008, Sem 2 2009, Sem 1 2010, Sem 2 2010, Sem 1 2011, Sem 2 2011, Sem 1 2012, Sem 2 2012, Sem 1 2013, Sem 2 2013, Sem 1 2014, Sem 1 2015, Sem 2 2015, Sem 1 2016 |
ISYS1057 |
City Campus |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face or Internet |
Sem 1 2009 |
ISYS1057 |
City Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 1 2017, Sem 2 2017, Sem 1 2018, Sem 2 2018, Sem 2 2019, Sem 1 2020, Sem 2 2020, Sem 2 2021 |
ISYS2077 |
RMIT University Vietnam |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Viet2 2007, Viet3 2007, Viet1 2008, Viet2 2008, Viet3 2008, Viet1 2009, Viet2 2009, Viet3 2009, Viet1 2010, Viet2 2010, Viet3 2010, Viet1 2011, Viet2 2011, Viet3 2011, Viet1 2012, Viet2 2012, Viet3 2012, Viet1 2013, Viet2 2013, Viet3 2013, Viet1 2014, Viet2 2014, Viet3 2014, Viet1 2015, Viet3 2015, Viet2 2016 |
ISYS2077 |
RMIT University Vietnam |
Undergraduate |
171H School of Science |
Face-to-Face |
Viet3 2017, Viet2 2018, Viet3 2018, Viet1 2020 |
ISYS2095 |
Open Learning Australia |
Non Award |
171H School of Science |
Distance / Correspondence |
OUASP4UG19 |
ISYS2095 |
Open Learning Australia |
Non Award |
175H Computing Technologies |
Distance / Correspondence |
OUASP4UG23 |
ISYS2360 |
Taylors College KL |
Undergraduate |
140H Computer Science & Information Technology |
Face-to-Face |
Offsh 3 10, Offsh 1 11 |
Course Coordinator: Dr Xiangmin Zhou
Course Coordinator Phone: +61 3 9925 2118
Course Coordinator Email: xiangmin.zhou@rmit.edu.au
Course Coordinator Location: -
Course Coordinator Availability: By appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
Assumed Knowledge:
It is assumed that you have basic computer literacy.
Course Description
Databases and the 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 course is an introduction to the principles, use, and applications of database systems. It assumes no previous knowledge of databases or database technologies. This course focuses on developing skills in designing databases for efficient data management and SQL programming for querying and using databases for various database applications.
Objectives/Learning Outcomes/Capability Development
Program Learning Outcomes
This course contributes to the following Program Learning Outcomes (PLOs) for
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:
3. Problem Solving
Your capability to analyse problems and synthesise suitable solutions will be extended as you learn to:
For more information on the program learning outcomes for your program, please see the program guide.
Upon successful completion of this course, you will be able to:
Overview of Learning Activities
You will be actively engaged in a range of learning activities such as:
You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, andthrough links and material specific to this course that is available through myRMIT Studies Course.
Overview of Learning Resources
RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.
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: Take-Home Assignment on ER Modelling and Relational Database Model
Weighting: 20%
This assessment task supports CLOs 1, 2, 3, 4.
Assessment Task 2: Take-Home Assignment on SQL Programming and Normalisation
Weighting: 30%
This assessment task supports CLOs 1, 4, 5.
Assessment Task 3: Online Fortnightly Quizzes
Five Quizzes each worth 3%
Total Weighting: 15%
This assessment task supports CLOs 1, 2, 3, 5.
Assessment Task 4: Database Design Project
Weighting: 35%
This assessment task supports CLOs 1-6.
If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.