Requirements to Pass this Unit

To pass this unit you must achieve a total mark equal to or greater than 50%. There are no hurdle requirements for the unit.

LATE ASSESSMENT SUBMISSION PENALTY

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. For example, if the assignment is worth 25 marks (of the entire unit) and your submission is late by 19 hours (or 23 hours 59 minutes 59 seconds), 1.25 marks (5% of 25 marks) will be deducted. If your submission is late by 24 hours (or 47 hours 59 minutes 59 seconds), 2.5 marks (10% of 25 marks) will be deducted, and so on.

ASSESSMENTS WHERE LATE SUBMISSIONS WILL BE ACCEPTED

• Assignment 1: YES, Standard Late Penalty applies • Assignment 2: YES, Standard Late Penalty applies • Exam: NO

Special Consideration

The Special Consideration Policy aims to support students who have been impacted by shortterm circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment.

If you experience circumstances or events that affect your ability to complete either of the assignments in this unit on time, please inform the convenor and submit a Special Consideration request through ask.mq.edu.au.

AI Approach

• Open These assessments do not restrict the application of AI tools. However, it is expected that the use of AI is acknowledged in an appropriate manner, similar to the expectation to provide references for other resources or tools that are used in producing your work. Any use of AI should comply with the University’s Responsible and Ethical Use of Artificial Intelligence Policy.
• Observed These tasks are either fully or partly observed or invigilated. AI use will either not be permitted or will be restricted during the assessment.

For more information, please see https://students.mq.edu.au/study/assessment-exams/assessments/ai-and-assessment

COMP2000 is taught via weekly 2-hour lectures and practical classes. Each week you should participate in your scheduled two hour practical. For details of scheduled classes consult the timetables webpage.

Week1

Note that classes commence in week 1. The week-by-week details of the practical classes Unit guide COMP2000 will be available from iLearn.

Students are expected to do significant preparatory work, readings and exercises before attending classes.

Textbook and Reading Materials

The required texts for the unit are Learning Java 3rd Ed, Head First Design Patterns 2nd Ed, and Modern Java in Action 2nd Ed.  All three are freely available online.

Each week a set of notes, a Rapid Aptitude Test (RAT), an application exercise, and self-study material will be provided in a pdf file. This material will include a set of activities which are to be done before class.

Communication Methods in COMP2000

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.

Week 1 — Team Based Learning   Team formation, team contracts, course logistics.   No preparation required.

Week 2 — Git   Distributed version control: init, clone, add, commit, log, push, pull.   Preparation: Read Atlassian Git tutorial pages. Attend the lecture in week 1.

Week 3 — Objects and Classes   Classes, methods, object creation, Java API documentation.   Preparation: Read Learning Java Ch 5. Attend the lecture in week 2.

Week 4 — Inheritance and Overloading   Subclassing, interfaces, inner classes, method overloading.   Preparation: Read Learning Java Ch 6. Attend the lecture in week 3.

Week 5 — Generics   Type erasure, wildcards, bounded types, generic methods.   Preparation: Read Learning Java Ch 8. Attend the lecture in week 4.

Week 6 — Exceptions   Try/catch/finally, checked vs unchecked exceptions, call stack.   Preparation: Read Learning Java Ch 4.5. Attend the lecture in week 5.

Week 7 — Patterns 1: Strategy and Observer   Design patterns: Strategy, Observer. Mid-semester submission due.   Preparation: Read Head First Design Patterns Ch 1–2. Attend the lecture in week 6.

Week 8 — Patterns 2: Decorator, Iterator, State   Design patterns: Decorator, Iterator, State.   Preparation: Read Head First Design Patterns Ch 3, 9, 10. Attend the lecture in week 7.

Week 9 — Behaviour Parameterisation   Lambdas, functional interfaces, method references.   Preparation: Read Modern Java in Action Ch 1–2. Attend the lecture in week 8.

Week 10 — Streams   Stream pipelines, intermediate/terminal operations, filter/map/reduce.   Preparation: Read Modern Java in Action Ch 4–5. Attend the lecture in week 9.

Week 11 — Collecting   Collectors, groupingBy, partitioningBy, custom collectors.   Preparation: Read Modern Java in Action Ch 6. Attend the lecture in week 10.

Week 12 — Parallelism   Threads, parallel streams, synchronisation, race conditions.   Preparation: Read Modern Java in Action Ch 7. Attend the lecture in week 11.

Week 13 — Student Showcase   Conference-style presentations. Final submission due.   Preparation: Prepare a short presentation. Attend the lecture in week 12.

Fuller adoption of EPIC educational principals.