Standards and Grading

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. 

Requirements to Pass this Unit

To pass this unit you must achieve a total mark equal to or greater than 50%

Weekly Exercises and Contributions to Learning

Full marks for these components (5% each) can be achieved by completing the tasks for 8 weeks.

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 7^th day (including weekends). After the 7^th 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 

Assignments One and Two: YES, Standard Late Penalty applies

All others: NO, unless Special Consideration is granted

Extension Requests and Special Consideration

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. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through ask.mq.edu.au.  (You would not normally submit Special Consideration requests for Weekly Exercises or Contributions to Learning, as the marks can be gained in other ways: by submitting in other weeks, or by being more active in the discussion forums, for example.)

Please note if you cannot submit on time because of illness or other circumstances, please contact the lecturer before the due date. If you experience a disruption to studies, you should notify the university.  Please note that this is a centralised process, and resolution can take some time.  This may mean, for example, that you are notified that your disruption request has been approved only after any reasonable length extension for an assignment could be granted: for instance, the assignment might have already been handed back.  With respect to assignments, you should therefore also notify the lecturer responsible for the assignment, and submit a solution to the assignment via iLearn, at the same time as you lodge your official disruption notification.  Failure to do so means that an extension may not be possible, leaving only some other remedy listed under the disruption to study outcomes schedule (e.g. partake in assessment task next available session).

Special Consideration for Exams

If you receive special consideration for the final exam, a supplementary exam will be scheduled in the interval between the regular exam period and the start of the next session.  By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period.  Please ensure you are familiar with the policy prior to submitting an application. You can check the supplementary exam information page on FSE101 in iLearn (bit.ly/FSESupp) for dates, and approved applicants will receive an individual notification prior to the exam with the exact date and time of their supplementary examination.

 Summary of achievement required corresponding to each final grade

• HD and D   Overall the quality of the work demonstrates a mature and considered appreciation of the programming and algorithmic concepts, and an excellent technical mastery of Java programming (sufficient to complete the advanced programming tasks). A systematic demonstration of the ability to problem solve independently and a thorough knowledge of how to critique the proposed solution, in terms of performance, correctness and other technical issues.
• Cr   Overall the quality of the work demonstrates a reasonable appreciation of the programming and algorithmic concepts, and a good technical mastery of Java programming (sufficient to complete the required programming tasks). A systematic demonstration of the ability to solve basic problems and to present the solutions clearly with an attempt to give reasons why they meet their stated objectives. Some knowledge of how to critique the proposed solution, in terms of performance, correctness and other technical issues is demonstrated, but the answers given might not cover all cases.
• P   The quality of work demonstrates a basic technical mastery of the Java language, a basic understanding of how to program using the studied algorithms and a knowledge of how to implement and use the basic algorithmic data structures and programming techniques introduced in the course. The assessment work demonstrates a basic understanding of performance and correctness issues relative to all of the algorithms and data structures studied in the unit, and the appropriateness of a particular algorithm relative to a given data structure.

Technology required

• Eclipse - download Eclipse IDE for Java Developers: The practical work in this unit involves programming in Java (www.java.com) using the Eclipse Integrated Development Environment (www.eclipse.org)

• Java SE JDK - download Java SE 8 to be compatible with the labs: Note that you need the Java JDK which includes the compiler tools, rather than the Java Runtime Environment (JRE) which you might already have installed on your computer to allow you to run Java applications.  
• Any additional Java libraries will be made available for download.  
• Learning Management System iLearn : This will be used primarily to enable email broadcasts and give access to Assessment marks.

• The lecture audio will be recorded, and will be available via iLearn.

Classes

Each week you should attend 2 hours of lectures and a two-hour mixed classes. For details of days, times and rooms consult the timetables webpage.

You should have selected one two-hour mixed classes session at enrolment. You must attend the session you are enrolled in.

Please note that you are expected to attend most of the mixed classes because that is your opportunity to seek clarification of any parts of the course and exercises you do not understand. Note that the in-class quiz will be strongly based on the weekly exercises. You are therefore strongly advised to complete the set class exercises, and to seek clarification when you are unable to complete a question.

Recommended Texts

The following texts can be used to supplement the material covered in lectures:

• Clifford Shaffer. Data Structures and Algorithm Analysis - available online at https://people.cs.vt.edu/shaffer/Book/JAVA3e20130328.pdf  
• Robert Lafore. Data Structures and Algorithms in Java, 2nd edition - available online at https://learning.oreilly.com/home/ [You can use your Macquarie email to get a freely accessible account at O'Reilly for all of their books.]  
• Robert Sedgewick and Kevin Wayne.  Algorithms (4th edition) - available online at https://algs4.cs.princeton.edu/home/  [This is a good text if you want to go deeper, and is very well-known in the field.]  
• Adam Drozdek [2005]. Data Structures and Algorithms in Java (2nd ed. or 3rd edition). Boston: Thomson Course Technology.
  • There is also a companion website by the publisher, containing data files for exercises. In addition, Drozdek has Java code from the book available on his webpage. (Note that these are written for Java 1.4.)

Unit Pages

The unit will make use of discussions hosted within iLearn. Please post questions there, they will be monitored by the staff on the unit.

Teaching and Learning Strategy

COMP2010 is taught via lectures and mixed classes in the laboratory. Lectures are used to introduce new theoretic material, give examples of the use these techniques and put them in a wider context. Mixed classes give you the opportunity to interact with your peers. You will be given problems to solve each week prior to each session; preparing solutions is important because it will allow you to discuss the problems effectively with your tutor thereby making the most of this activity. The aim of the mixed classes is to help you to develop problem-solving skills and teamwork, and you will be expected to work on problems in class. Mixed classes give you an opportunity to practice your programming skills, and to implement many of the ideas discussed in lectures. Each week you will be given a number of problems to work on; it is important that you keep up with these problems as doing so will help you understand the material in the unit and prepare you for the work in assignments and quizzes. Some of the questions are designated priority and they will be the ones that will be discussed in detail and on which the quizzes may be based. Additional questions are provided for extension and general practice.

There will be an opportunity to explore more deeply aspects of the course material which has not been covered in lectures or classes. These will sometimes be student-led, and in various forms including Q&A with the lecturer or short videos. Topics will for example include questions not covered in workshops, or hints and tips for assignments. More information for the timing of these sessions will be available on iLearn.

Lecture notes will be 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 the more extensive discussions in the various suggested supplementary textbooks.