Unit convenor and teaching staff |
Unit convenor and teaching staff
Convenor, Lecturer
Gaurav Gupta
Contact via Forums (or email for issue specific to you)
Lecturer
Yan Wang
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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 provides a study of algorithms, data structures and programming techniques. The topics covered include: trees; graphs and heaps; advanced sorting techniques; elements of storage management; and complexity. The presentation emphasises the role of data abstraction and correctness proofs.
This unit provides a foundation-level study of programming. The topics covered include programming environment and the process of program execution, variables, operators, boolean logic, control structures including conditions and loops, functions, storage of collection of items and performing operations on the same, and file management. |
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:
Late submissions will not be accepted without an approved Special Consideration request. Assessments submitted after the due date will receive a mark of zero.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Weekly submissions | 0% | No | Weekly |
Online Quiz 1 | 10% | No | Week 4 |
Online quiz 2 | 10% | No | Week 7 |
Online quiz 3 | 10% | No | Week 9 |
Online quiz 4 | 10% | No | Week 12 |
Assignment 1 | 5% | No | 5pm, Sunday 27th March |
Assignment 2 | 15% | No | 5pm, Sunday 24th April |
Assignment 3 | 10% | No | 5pm, Sunday 15th May |
Assignment 4 | 10% | No | 5pm, Sunday 5th June |
zoom viva | 20% | No | Final exam period |
Assessment Type 1: Programming Task
Indicative Time on Task 2: 15 hours
Due: Weekly
Weighting: 0%
Each week, students are required to submit a piece of code containing solutions to a given set of problems
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 5 hours
Due: Week 4
Weighting: 10%
An online quiz that requires students to complete a number of questions via iLearn within a given time window.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 5 hours
Due: Week 7
Weighting: 10%
An online quiz that requires students to complete a number of questions via iLearn within a given time window.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 5 hours
Due: Week 9
Weighting: 10%
An online quiz that requires students to complete a number of questions via iLearn within a given time window.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 5 hours
Due: Week 12
Weighting: 10%
An online quiz that requires students to complete a number of questions via iLearn within a given time window.
Assessment Type 1: Programming Task
Indicative Time on Task 2: 5 hours
Due: 5pm, Sunday 27th March
Weighting: 5%
Programming assignment that requires students to solve a real-life problem based on the contents covered in the first half of the semester
Assessment Type 1: Programming Task
Indicative Time on Task 2: 15 hours
Due: 5pm, Sunday 24th April
Weighting: 15%
Programming assignment that requires students to solve a real-life problem based on the contents covered during the semester
Assessment Type 1: Programming Task
Indicative Time on Task 2: 10 hours
Due: 5pm, Sunday 15th May
Weighting: 10%
Programming assignment that requires students to solve a real-life problem based on the contents covered during the semester
Assessment Type 1: Programming Task
Indicative Time on Task 2: 10 hours
Due: 5pm, Sunday 5th June
Weighting: 10%
Programming assignment that requires students to solve a real-life problem based on the contents covered during the semester
Assessment Type 1: Viva/oral examination
Indicative Time on Task 2: 12 hours
Due: Final exam period
Weighting: 20%
Students need to answer a number of programming questions, and complete a few programming tasks within a given time window.
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
Lecture notes: https://softwaretechnologymq.github.io/
Python (version 3.10.2 at the time of writing this unit guide): https://python.org/
Visual Studio Code: https://code.visualstudio.com/
NOTE: Practical classes begin in week 2. The schedule is for lectures.
TWO-WEEK TEACHING BREAK
* one or more from lists, dictionaries, tuples, sets
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.
Environment changed from Java to Python
Date | Description |
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04/03/2022 | fixed assignment 1 deadline |
Unit information based on version 2022.03 of the Handbook