Session 2 Learning and Teaching Update
The decision has been made to conduct study online for the remainder of Session 2 for all units WITHOUT mandatory on-campus learning activities. Exams for Session 2 will also be online where possible to do so.
This is due to the extension of the lockdown orders and to provide certainty around arrangements for the remainder of Session 2. We hope to return to campus beyond Session 2 as soon as it is safe and appropriate to do so.
Some classes/teaching activities cannot be moved online and must be taught on campus. You should already know if you are in one of these classes/teaching activities and your unit convenor will provide you with more information via iLearn. If you want to confirm, see the list of units with mandatory on-campus classes/teaching activities.
Visit the MQ COVID-19 information page for more detail.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Convenor, Lecturer
Gaurav Gupta
To be advised via iLearn
Lecturer
Bernard Mans
To be advised via iLearn
Content Developer
Emilie Jemima Hyslop
Tutor
Naila Mukhtar
Tutor
Nataly Falero
Tutor
David Sanders
Tutor
Afroja Akter
Tutor
Hemant Kumar
Tutor
Kshitij Bhargava
Tutor
Liam Ralston
Tutor
Zawar Hussain
Tutor
Alex Taylor
Tutor
Evan Gillard
|
---|---|
Credit points |
Credit points
10
|
Prerequisites |
Prerequisites
(COMP1000 or COMP115) or admission to (BActStud or BActStudBSc or BAppFinBActStud or BActStudBProfPrac)
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
|
Unit description |
Unit description
This unit studies programming as a systematic discipline and introduces more formal software design methods. Programming skills are extended to include elementary data structures and abstract data types. There is a strong emphasis on problem solving and algorithms, including aspects of correctness, complexity and computability.
|
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:
For any assessment, extensions will only be granted if your askMQ application for Special Consideration is approved.
Late submissions are NOT accepted for weekly submissions unless you have special considerations approval.
There will be a deduction of 20% (of the total marks) made from the total awarded mark for each 24 hour period or part thereof that the submission is late. For example,
Submissions for assignments will NOT be accepted after the solutions have been posted.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Quizzes | 20% | No | Week 6, 10, 12 |
Assignments | 30% | No | Week 3, 8, 13 |
Weekly submissions | 20% | Yes | Weeks 2 to 11 |
End-of-semester exam | 30% | No | Exam period (weeks 14, 15) |
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 16 hours
Due: Week 6, 10, 12
Weighting: 20%
Online quizzes to assess the understanding of the several topics taught throughout the unit. Students get only one attempt for each quiz.
Assessment Type 1: Programming Task
Indicative Time on Task 2: 39 hours
Due: Week 3, 8, 13
Weighting: 30%
Take-home assignments during the semester to assess problem-solving skills in the domain of the unit topics.
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 20 hours
Due: Weeks 2 to 11
Weighting: 20%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
Weekly submissions from the practice package provided. To clear the hurdle, students must submit at least 8 out of 10 submissions that satisfy the minimum requirements, which may be different for each week.
Assessment Type 1: Examination
Indicative Time on Task 2: 10 hours
Due: Exam period (weeks 14, 15)
Weighting: 30%
End of semester exam to assess achievement of learning outcomes from the entire session.
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.
Please note that you are required to submit work regularly. You will get the help that you need by attending your practical class. Failure to submit work may result in you failing the unit (see the precise requirements in the "Grading Standards" section) or being excluded from the final examination.
Lecture notes: https://rebrand.ly/COMP1010LectureNotes
Practical classes: https://rebrand.ly/COMP1010practicals
Video tutorials: https://rebrand.ly/COMP1010VideoTutorials
Recommended Textbooks:
Audio and Video Lecture
Digital recordings of lectures are available from within iLearn via Active Learning Platform.
Technology
Discussion Boards
The unit makes use of forums hosted within iLearn. Please post questions there, they are monitored by the unit staff.
Note that three important themes will pervade the entire unit:
NOTE: This is a tentative schedule and subject to minor changes.
Week |
Topic |
Assessments Due |
Weekly submission |
|
1 |
Programming environment |
14 |
No |
|
2 |
Problem-solving, JUnit testing |
15, 16 |
Yes |
|
3 |
Classes and Objects - 1 |
17, 18, 19 |
Assignment 1 (Arrays) - 5% |
Yes |
4 |
Classes and Objects - 2 |
20, 21, 22 |
|
Yes |
5 |
Recursion - 1 |
23, 24, 25 |
|
Yes |
6 |
Recursion - 2 |
26, 27 |
Quiz 1 (Classes) - 5% |
Yes |
7 |
List Interface, ArrayList class |
28 |
Yes |
|
2 weeks’ recess |
||||
8 |
Iterators |
29, 30 |
Assignment 2 (Classes) - 10% |
Yes |
9 |
Custom-built ArrayList |
31 |
Yes |
|
10 |
Recursive data structures - 1 |
32 |
Quiz 2 (Recursion) – 7% |
Yes |
11 |
Recursive data structures - 2 |
33 |
Yes |
|
12 |
Advanced topics |
34 |
Quiz 3 (ArrayList class) - 8% |
No |
13 |
Revision |
|
Assignment 3 (Recursive data structures) - 15% |
No |
14, 15 |
|
|
Final Exam – 30% |
No |
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
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
If you are a Global MBA student contact globalmba.support@mq.edu.au
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.
The number of assignments has been reduced from 4 to 3, weights have been adjusted.
The number of quizzes has been reduced from 4 to 3, weights have been adjusted.
The unit will be graded according to the following general descriptions of the letter grades as specified by Macquarie University. In the course of the unit, these grade descriptions will be discussed with respect to example projects.
High Distinction (HD, 85-100): provides consistent evidence of deep and critical understanding in relation to the learning outcomes. There is substantial originality and insight in identifying, generating and communicating competing arguments, perspectives or problem solving approaches; critical evaluation of problems, their solutions and their implications; creativity in application as appropriate to the discipline.
In the context of this unit, the project has a good design, and has used some data that is interesting or non-obvious, or has required some effort to obtain or use. It involves a good analysis of the data, and fairly extensively draws on the techniques and tools presented in the unit and possibly on others discovered independently by the student. The project is described in a report and a presentation that are well-structured and essentially free from errors; these would be of a standard that could be presented at a conference with little or no polishing.
Distinction (D, 75-84): provides evidence of integration and evaluation of critical ideas, principles and theories, distinctive insight and ability in applying relevant skills and concepts in relation to learning outcomes. There is demonstration of frequent originality in defining and analysing issues or problems and providing solutions; and the use of means of communication appropriate to the discipline and the audience.
In the context of this unit, the project has a good design, and has used some data that is interesting or non-obvious, or has required some effort to obtain or use. It involves a good analysis of the data, and fairly extensively draws on the techniques and tools presented in the unit. The project is described in a report and a presentation that are well-structured and mostly free from errors; these would be of a standard that could be presented at a conference with some polishing.
Credit (Cr, 65-74): provides evidence of learning that goes beyond replication of content knowledge or skills relevant to the learning outcomes. There is demonstration of substantial understanding of fundamental concepts in the field of study and the ability to apply these concepts in a variety of contexts; convincing argumentation with appropriate coherent justification; communication of ideas fluently and clearly in terms of the conventions of the discipline.
In the context of this unit, the project has a sound design, and demonstrates some thought in the choice of data. It involves a good analysis of the data, and uses a reasonable number of the techniques and tools presented in the unit. The project is described in a report and a presentation that are well-structured and mostly free from errors.
Pass (P, 50-64): provides sufficient evidence of the achievement of learning outcomes. There is demonstration of understanding and application of fundamental concepts of the field of study; routine argumentation with acceptable justification; communication of information and ideas adequately in terms of the conventions of the discipline. The learning attainment is considered satisfactory or adequate or competent or capable in relation to the specified outcomes.
In the context of this unit, the project has a satisfactory design and uses some easily accessible data. It involves a successful, or nearly successful, analysis of data, and shows some familiarity with tools or techniques presented in the unit. The project is described in a satisfactory report and presentation.
Fail (F, 0-49): does not provide evidence of attainment of learning outcomes. There is missing or partial or superficial or faulty understanding and application of the fundamental concepts in the field of study; missing, undeveloped, inappropriate or confusing argumentation; incomplete, confusing or lacking communication of ideas in ways that give little attention to the conventions of the discipline.
Date | Description |
---|---|
01/09/2021 | Mistake in bernard's name fixed. Nothing else changed. |
Unit information based on version 2021.04 of the Handbook