Unit convenor and teaching staff |
Unit convenor and teaching staff
Convenor and Lecturer
Charanya Ramakrishnan
Contact via Email
Rm286, Department of Computing 4 Research Park Drive, Becton Dickson Building
See HELP101 schedule/by appointment
Super Tutor
Carl Svensson
Contact via Email
See HELP101 schedule/by appointment
Lecturer
Stephen Smith
See HELP101 schedule/by appointment
Tutor
Amara Atif
See HELP101 schedule/by appointment
Tutor
Bayzid Hossain
See HELP101 schedule/by appointment
Tutor
Darius Taslim
See HELP101 schedule/by appointment
Tutor
Diya Thomas
See HELP101 schedule/by appointment
Tutor
Frances Louise
See HELP101 schedule/by appointment
Tutor
Hedieh Ranjbartabar
See HELP101 schedule/by appointment
Tutor
Hijab Alavi
See HELP101 schedule/by appointment
Tutor
Natalie Batshon
See HELP101 schedule/by appointment
Tutor
Shahpar Yakhchi
See HELP101 schedule/by appointment
Tutor
Saad Hashmi
See HELP101 schedule/by appointment
Tutor
Zawar Hussain
See HELP101 schedule/by appointment
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Credit points |
Credit points
3
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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 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 tools, 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.
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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:
A more detailed description of each task is given below.
Workshops are combined practicals and tutorials. Each week, you will receive a maximum of one mark for active participation in the class activities, discussions, and/or practical tasks. Attendance alone does not count towards any mark. There are 13 weeks of workshops, however, the total participation mark is limited to 7 throughout the semester. In workshops (week 7 and 13) , you will have your in-class assessment. So, these weeks are excluded from assessed participation. All other workshops are assessed.
Participation in workshops in this unit is a hurdle requirement. In order to pass the unit you will be required to participate in 7 out of the 11 weeks.
This quiz will be an individual assessment; You will be attempting an online quiz that will be conducted in week 3 in the workshop you've enrolled. You will be answering questions from concepts covered in weeks 1 and 2. This quiz aims to determine students' individual strengths, weaknesses, knowledge and skills to develop a baseline of what students know about the topic. You will have to the attend the workshop you're enrolled in to attempt the quiz. No reattempts will be granted.
There are 2 assignments.
You are encouraged to:
If you cannot submit on time because of illness or other circumstances, please contact the convenor before the due date.
No extensions will be granted unless there is a special consideration approved. Late assignments will be accepted up to 72 hours after the submission deadline. There will be a deduction of 10%* of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for disruption to studies is made and approved.
Assignment submission in this unit is NOT a hurdle requirement. However, if you do not make a reasonable attempt at all the assignments, you are unlikely to have sufficient knowledge to pass the exam or sufficient total marks to be able to pass the unit.
For this unit, a final examination will test your learning and knowledge of learning outcomes #1, #2, #3 and #4. The final examination accounts for 50% of the final mark. If you receive special consideration for the final exam, a supplementary exam will be scheduled in the week of December 16-20, 2019. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. Approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.
Regarding the examination process, note that
Four standards, namely Developing, Functional, Proficient, and Advanced, summarize as many different levels of achievement. Each standard is precisely defined to help students know what kind of performance is expected to deserve a certain grade. Typically, Developing corresponds PC, Functional is for P, Proficient for Cr, and Advanced covers D and HD. The standards corresponding to the learning outcomes and criteria of this unit are given below:
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Standards |
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Criteria for L.O. #1 |
Developing |
Functional |
Proficient |
Advanced |
Data Analysis and Modeling |
Has limited understanding and ability to apply analysis, modeling and programming concepts and techniques. Assignment and exam performance shows functional level of understanding on some but not all assessment tasks. |
Demonstrates knowledge of terms and core concepts. Assignment and exam performance shows basic understanding and ability to apply most of the data modeling and implementation concepts and techniques. |
Understands most of the data modelling concepts and can apply them appropriately. Implements most of the tasks specified. Assignment and exam performance shows good understanding of data analysis and modeling concepts and application of these skills in conceptual database design. |
Shows depth of understanding of data analysis and modeling concepts and implements all tasks as specified with professional presentation. Assignment and exam performance shows critical thought and comprehension of the software development big picture and related issues and activities. |
Criteria for L.O. #2 |
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Data Base |
Inaccurate reproduction of definitions and ideas, show limited understanding of database principles. Able to apply some of the basic database functionality in the assignments and final exam. |
Reproduce definitions and ideas, show some breath of understanding of Database principles. Able to apply most of the basic database functionality in the assignments and final exam. |
Show breath of understanding of database principles. Able to apply most of database functionality in the assignments and final exam. |
Apply terminology and ideas in some new contexts, show some depth of understanding of database principles. Able to apply most of database functionality in the assignments and final exam. |
Criteria for L.O. #3 |
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Ethics |
Assessment performance shows limited understanding of what ethics is. |
Assessment performance shows an understanding of what ethics involves relating to sustainability and the environment. |
Assessment performance shows an appreciation of the impact of ethics on professional practice as well as ethical decision making relating to sustainability and the environment. |
Assessment performance shows a deep appreciation of the impact of ethics on professional practice as well as ethical decision making relating to sustainability and the environment. |
Criteria for L.O. #4 |
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Use of modelling tools |
Assignment and exam performance shows limited understanding of data analysis and data modelling techniques and tools for introductory level database design and requirements specification. |
Assignment and exam performance shows basic understanding and ability to use data analysis and modelling tools. |
Assignment and exam performance shows good understanding of data analysis and modelling tools in conceptual database design. |
Assignment and exam performance shows depth of understanding of data analysis and modelling tools. |
Grading
In order to pass the unit, you must obtain a total mark of 50 or higher in the unit and obtain 7 in the participation component. The final mark will be the summation of the marks you have received for assessments including the final exam.
For each task, those standards translate into a mark and the different component marks are added up. The final mark for the unit will be calculated by combining the marks for all assessment tasks according to the percentage weightings shown in the assessment summary. You will then be given a grade that reflects your achievement in the unit.
Name | Weighting | Hurdle | Due |
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Workshop Participation | 7% | Yes | All Weeks except Weeks 7,13 |
Diagnostic Quiz | 3% | No | Varies: During Week 3 Workshop |
Assignment One Part One | 10% | No | Week6 06/09/2019 Friday 21:00 |
Assignment One Part Two | 10% | No | Varies: During Week 7 Workshop |
Assignment Two Part One | 10% | No | Week 12 01/11/2019 Friday 21:00 |
Assignment Two Part Two | 10% | No | Varies: During Week 13 Workshop |
Final Exam | 50% | No | See Exam Timetable |
Due: All Weeks except Weeks 7,13
Weighting: 7%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
In accordance with the Faculty Board they have decided that, from S1 2018, all 100-level units in the Faculty will have a compulsory (hurdle) requirement on participation in tutorials, practicals and laboratories.
You will have workshops every week starting from week 1 until week 13. Note: Workshops start in week-1
In-class voluntary participation will be assessed for 11 workshops during the session. The best 7 out of 11 in-class participation marks will be taken into consideration. In-class participation will be worth 7% of the the total mark. Participation in weeks 7,13 do not count towards this assessment since you will have in-class assessments during these two weeks. 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. This is a hurdle assessment, in order to pass the unit you will be required to score 7 out of 11 in this assessment task. If you receive any formal special consideration, you will be given an alternate task for that week. Please refer to https://students.mq.edu.au/study/my-study-program/special-consideration
Due: Varies: During Week 3 Workshop
Weighting: 3%
This quiz will be an individual assessment; You will be attempting an online quiz that will be conducted in week 3 in the workshop you've enrolled. You will be answering questions covering concepts covered in weeks 1 and 2. This quiz aims to determine students' individual strengths, weaknesses, knowledge and skills to develop a baseline of what students know about the topic
Due: Week6 06/09/2019 Friday 21:00
Weighting: 10%
This assignment is a group assignment. You will be working in groups of three/four.
This assignment will involve both top down and bottom up approach in database modelling. You will be assessed based on the development of EER, and normalisation of tables for a given problem description. Submission will be through iLearn.
Due: Varies: During Week 7 Workshop
Weighting: 10%
This assessment will be an individual assessment; You will be attempting a paper-based quiz that will be conducted in week 7, in the workshop you've enrolled. You will be answering questions covering these concepts: ER, EER, logical data model and normalisation.
Due: Week 12 01/11/2019 Friday 21:00
Weighting: 10%
This assignment is a group assignment. You will be working in groups of three/four.
This assignment will involve the design and execution of database queries to demonstrate knowledge of SQL. You will be assessed based on the successful execution of SQL queries for a given problem description. Submission will be through iLearn.
Due: Varies: During Week 13 Workshop
Weighting: 10%
This assessment will be an individual assessment; You will be attempting an online quiz that will be conducted in week 13, in the workshop you've enrolled. You will be answering questions on SQL
Due: See Exam Timetable
Weighting: 50%
This closed book exam will test your knowledge of the concepts and ability to apply the learning material from weeks 1-12.
ISYS114 is taught via lectures and workshops. The feedback that you receive also plays an important role in your learning. Make sure you read the feedback you are given, attend lectures which provide assignment feedback and compare your solution with sample solutions provided.
Lectures are used to introduce new material, provide motivation and context for your study, guide you in what is important to learn and explain more difficult concepts.
Workshops are small group classes which give you the opportunity to interact with your peers and with a tutor who has a sound knowledge of the subject. This also gives you a chance to practice your technology skills.
You have many opportunities to seek for and to receive feedback. During lectures, you are encouraged to ask the lecturer questions to clarify anything you might not be sure of. You may also arrange to meet with your tutor or the lecturer or attend the consultation hours of any tutor. Each week, you will be given activities and problems to solve in workshops. This will at times involve contributing to a group of students and presenting solutions to the class. Both assignments involves working in groups. The comments and the solutions provided will help you to understand the material in the unit, prepare you for the work in assignments as well as for the final exam. It is important that you keep up with these problems every week. Assignments have been especially designed to deliver continuous feedback on your work.
Each week you should:
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 the textbook or other additional material.
Classes
There are 2 hours of lectures per week.
Each week you should attend two hours of lectures (or watch the recorded lecture), and a 2 hour Workshop. For details of days, times and rooms consult the timetables webpage.
Note that workshops commence in week 1.
Digital recordings of lectures are available through the web page of the unit on ilearn.
Various reading materials will be provided throughout the semester
MS Word, PowerDesigner, MySQL Workbench
The web page for this unit can be found at http://ilearn.mq.edu.au/
The unit makes use of discussion boards hosted within iLearn. Please post questions of general interest there (for example, about assessment tasks), they are monitored by the unit staff but students may also provide answers.
In the table below, for each week, the lecturer, the topics to be covered and the textbook references are given.
Week |
Lecturer |
Topic |
Reading/Chapter |
1 |
Ramakrishnan |
Introduction to unit and Conceptual Data Modelling |
Online resources |
2 |
Ramakrishnan |
Conceptual Data Modelling |
Online resources |
3 |
Ramakrishnan |
Conceptual Data Modelling |
Online resources |
4 |
Ramakrishnan |
Normalisation |
Online resources |
5 |
Ramakrishnan |
Logical Modelling Introduction to SQL |
Online resources |
6 |
Ramakrishnan |
SQL concepts |
Online resources |
7 |
Ramakrishnan |
SQL concepts |
Online resources |
8 |
Ramakrishnan |
SQL concepts |
Online resources |
9 |
Smith |
SQL concepts |
Online resources |
10 |
Smith |
Database Application Development and Data Warehousing |
Online resources |
11 |
Smith |
Data Quality and Green IT |
Online resources |
12 |
Ramakrishnan |
Big Data |
Online resources |
13 |
Ramakrishnan & Smith |
Revision, Exam Preparation |
Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Undergraduate students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/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
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
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Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
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Our graduates will also be capable of creative thinking and of creating knowledge. They will be imaginative and open to experience and capable of innovation at work and in the community. We want them to be engaged in applying their critical, creative thinking.
This graduate capability is supported by:
We want our graduates to have emotional intelligence and sound interpersonal skills and to demonstrate discernment and common sense in their professional and personal judgement. They will exercise initiative as needed. They will be capable of risk assessment, and be able to handle ambiguity and complexity, enabling them to be adaptable in diverse and changing environments.
This graduate capability is supported by:
Our graduates will have enquiring minds and a literate curiosity which will lead them to pursue knowledge for its own sake. They will continue to pursue learning in their careers and as they participate in the world. They will be capable of reflecting on their experiences and relationships with others and the environment, learning from them, and growing - personally, professionally and socially.
This graduate capability is supported by:
Our graduates will take with them the intellectual development, depth and breadth of knowledge, scholarly understanding, and specific subject content in their chosen fields to make them competent and confident in their subject or profession. They will be able to demonstrate, where relevant, professional technical competence and meet professional standards. They will be able to articulate the structure of knowledge of their discipline, be able to adapt discipline-specific knowledge to novel situations, and be able to contribute from their discipline to inter-disciplinary solutions to problems.
This graduate capability is supported by:
We want our graduates to be capable of reasoning, questioning and analysing, and to integrate and synthesise learning and knowledge from a range of sources and environments; to be able to critique constraints, assumptions and limitations; to be able to think independently and systemically in relation to scholarly activity, in the workplace, and in the world. We want them to have a level of scientific and information technology literacy.
This graduate capability is supported by:
Our graduates should be capable of researching; of analysing, and interpreting and assessing data and information in various forms; of drawing connections across fields of knowledge; and they should be able to relate their knowledge to complex situations at work or in the world, in order to diagnose and solve problems. We want them to have the confidence to take the initiative in doing so, within an awareness of their own limitations.
This graduate capability is supported by:
We want to develop in our students the ability to communicate and convey their views in forms effective with different audiences. We want our graduates to take with them the capability to read, listen, question, gather and evaluate information resources in a variety of formats, assess, write clearly, speak effectively, and to use visual communication and communication technologies as appropriate.
This graduate capability is supported by:
As local citizens our graduates will be aware of indigenous perspectives and of the nation's historical context. They will be engaged with the challenges of contemporary society and with knowledge and ideas. We want our graduates to have respect for diversity, to be open-minded, sensitive to others and inclusive, and to be open to other cultures and perspectives: they should have a level of cultural literacy. Our graduates should be aware of disadvantage and social justice, and be willing to participate to help create a wiser and better society.
This graduate capability is supported by:
We want our graduates to be aware of and have respect for self and others; to be able to work with others as a leader and a team player; to have a sense of connectedness with others and country; and to have a sense of mutual obligation. Our graduates should be informed and active participants in moving society towards sustainability.
This graduate capability is supported by:
Date | Description |
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19/07/2019 | Updated unit guide for both day and evening offering |