Unit convenor and teaching staff |
Unit convenor and teaching staff
Convenor and Lecturer
Charanya Ramakrishnan
Contact via Email
By appointment
Lecturer
Shan Chen
Contact via Email
By appointment
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit introduces students to the principles and concepts of data storage, modelling and management with an emphasis on the role of data and information in organisations. The unit will cover conceptual modelling techniques, converting conceptual data models into relational data models and verifying its structural characteristics with normalisation techniques, and implementing and utilising a relational database using a database-management system. Fundamental data modelling techniques such as ER Modelling and query languages such as Structured Query Language (SQL) will be used. Concepts relating to data warehousing, governance, administration, security and privacy, ethical and green approaches to the collection, backup, use and storage of data and the construction of systems are also discussed. Overall, this unit concentrates upon building a firm foundation in information representation, organisation and storage with particular emphasis upon the application of database systems. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Workshop Participation:
To receive a workshop participation mark for the week, you will need to do the following:
Assignment-1
This will be a take-home assessment and the submission will be on a Turnitin link.
Assignment-2
Out of the 20% for the assessment-2,
Diagnostic Quiz and Module Exams
These assessments will be held in your enrolled workshops on iLearn quizzes. They are closed-book tests.
To pass this unit you must:
Workshop Participation
The development of knowledge and skills to design and develop databases requires continual practice at authentic problems in a practical setting. This unit has weekly practical/SGTA classes and you must demonstrate your progress in developing knowledge and skills in a minimum of 8 of the 13 classes. This is a hurdle assessment meaning that failure to meet this requirement may result in a fail grade for the unit. Students are permitted up to three absences: additional absences will require approval of Special Consideration (see below).
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark of the task) will be applied for each day a written report or presentation assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. The submission time for all uploaded assessments is 11:55 pm. A 1-hour grace period will be provided to students who experience a technical concern. For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, please apply for Special Consideration.
Assessments where Late Submissions will be accepted In this unit, late submissions will be accepted as follows
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment.
Written Assessments: If you experience circumstances or events that affect your ability to complete the written assessments in this unit on time, please submit a Special Consideration request through ask.mq.edu.au.
Quiz/Module Exams: If you miss the weekly practical class during the week of a quiz/exam due to serious, unavoidable and significant disruption, contact your convenor ASAP as you may be able to attend another class that week. If it is not possible to attend another class, please submit a Special Consideration request through ask.mq.edu.au.
Workshop Participation: To pass the unit you need to demonstrate ongoing development of skills and application of knowledge in 8 out of 13 of the weekly practical classes. If you miss a weekly practical class due to a serious, unavoidable and significant disruption, contact your convenor ASAP as you may be able to attend another class that week. If it is not possible to attend another class, you should still access the class material and review it in your own time and attempt the quiz.
Note that a Special Consideration should only be applied if you miss more than three of the weekly practical classes.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Workshop Participation | 5% | Yes | Weeks 1-13 |
Diagnostic Quiz | 5% | No | Week 3 |
Assignment One | 20% | No | Week 6 |
Assignment Two | 20% | No | Week 10, 11 |
Module Exams | 50% | No | Week 7 and 12 |
Assessment Type 1: Participatory task
Indicative Time on Task 2: 2 hours
Due: Weeks 1-13
Weighting: 5%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
In-class voluntary participation will be assessed for all the workshops during the session. Attendance alone does not count towards any mark. You will have to actively participate in the workshop activities assigned to you by your tutor.
NB. Since this is a hurdle assessment, in order to pass the unit you will be required to pass this assessment.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 2 hours
Due: Week 3
Weighting: 5%
This quiz will be an individual assessment; You will be attempting an online quiz that will be conducted in the workshop. This quiz aims to determine students' individual strengths, weaknesses, knowledge and skills to develop a baseline of what students know about the topics
Assessment Type 1: Design Task
Indicative Time on Task 2: 27 hours
Due: Week 6
Weighting: 20%
This assignment is an individual assignment. This assignment will involve designing a database using a top-down approach. You will be assessed based on the development of an EER diagram, and logical transformation for a given problem description.
Assessment Type 1: Programming Task
Indicative Time on Task 2: 27 hours
Due: Week 10, 11
Weighting: 20%
This assignment is an individual assignment. This assignment will involve designing and executing database queries to demonstrate the knowledge of SQL. You will be assessed based on the successful execution of SQL queries for a given problem description
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 20 hours
Due: Week 7 and 12
Weighting: 50%
These closed-book tests will test your knowledge on the development of a conceptual model, logical transformation, and the normalisation of tables, SQL and advanced database concepts
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Each week you should attend
For details of days, times and rooms, consult the timetables webpage.
Note that Lectures and Practical classes commence in Week 1.
You should have selected a practical class during enrolment. You should attend the practical class in which you are enrolled. You won't always get the class of your choice. Check availabilities via eStudent regularly. If ALL practical classes are full, only then, contact the convenor.
We will communicate with you via your university email and through announcements on iLearn. Queries to convenors can either be placed on the iLearn discussion board or sent to the unit convenor via the contact email on iLearn.
Lecture notes are made available each week but these notes are intended as an outline of the lecture only and are not a substitute for your own notes or reading of any textbook or other additional material.
For the latest information on the University’s response to COVID-19, please refer to the Coronavirus infection page on the Macquarie website: https://www.mq.edu.au/about/coronavirus-faqs. Remember to check this page regularly in case the information and requirements change during semester. If there are any changes to this unit in relation to COVID, these will be communicated via iLearn.
In the table below, for each week, the lecturer and the topics to be covered are listed below. Online resources will be provided on iLearn
Week |
Lecturer |
Topic |
1 |
Ramakrishnan |
Introduction to the Unit and Conceptual Data Modelling |
2 |
Ramakrishnan |
Conceptual Data Modelling |
3 |
Ramakrishnan | Conceptual Data Modelling + Logical Modelling |
4 |
Ramakrishnan |
Logical Modelling |
5 |
Ramakrishnan |
Revision + Physical Modelling + SQL concepts - 1 |
6 |
Ramakrishnan |
SQL concepts - 2 |
7 |
Chen |
SQL concepts - 3 |
8 |
Chen |
Normalisation |
9 |
Chen |
Database Application Development |
10 |
Chen |
Data Warehousing |
11 |
Chen |
Data Quality |
12 |
Chen |
Big Data & Green IT |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via AskMQ, or contact Service Connect.
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Assessment-2: Viva will be introduced to test the students' understanding of the codes submitted
We value student feedback to be able to continually improve the way we offer our units. As such we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link on the iLearn page.
Student feedback from the previous offering of this unit was very positive overall, with students pleased with the clarity around assessment requirements and the level of support from the teaching staff. As such, no change to the delivery of the unit is planned, however, we will continue to strive to improve the level of support and the level of student engagement.
COMP1350 is supported by the Computing Drop-in Centre (CDC) that operates daily (weekdays) from,
The web page at https://students.mq.edu.au/study/faculties/science-and-engineering/drop-in-centre
contains further information including,
Date | Description |
---|---|
05/10/2023 | The typos in the Assessment-2 weight breakdown have been fixed. The correct weight breakdown is ** 5% is for assignment submission ** 15% for the viva assessment |
Unit information based on version 2023.05 of the Handbook