Unit Outline

This unit extends the students' knowledge and experience of programming. It introduces dynamic data structures, foundational collection abstract data types, and computational algorithms and techniques. Programming is undertaken in Python and Java and topics include: references, memory management, self-referential data structures, abstract data types and their implementation, and an introduction to algorithm complexity.

Intended Learning Outcomes

As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.

On completion of this unit, you will be able to:


1	specify abstract data types and implement them in both a procedural and an object-oriented programming context
2	develop and analyse programs containing dynamic data structures through the application of knowledge of computing principles and technical skills
3	employ pair-programming techniques while collaborating with peers

Requisites


REQUISITE TYPE	REQUISITES
Pre-requisite	KIT101 OR KIT103
Anti-requisite (mutual excl)	XPD126

Alterations as a result of student feedback

Nil.

Teaching arrangements


ATTENDANCE MODE	TEACHING TYPE	LEARNING ACTIVITY	CONTACT HOURS	FREQUENCY
On Campus	Lecture (On Campus)	A real-time (i.e. synchronous) interactive activity involving the whole class whose primary purpose is the presentation and structuring of information/ideas/skills to facilitate student learning. All students are expected to attend.	1	2 times per week
	Computer Laboratory	A structured real-time (i.e. synchronous) computer-based activity in a small-group setting where the primary purpose is the clarification, exploration or reinforcement of subject content presented or accessed at another time or place (e.g. lecture, preparatory work). It is teacher supported and may involve student-teacher and/or student-student interaction and dialogue for achievement of its learning outcomes. The students enrolled in the class are expected to attend.	2	StudyPeriod 12 times
	Independent Learning	Involving reading, listening to audio, watching video, and/or completing exercises and/or quizzes, self-study is individual work undertaken when the student chooses (i.e. asynchronous), most likely through engagement with MyLO. The content is examinable, and may need to be completed prior to attending classes and/or attempting assessment tasks.	1	Weekly

Attendance / engagement expectations

If your unit is offered On campus, it is expected that you will attend all on-campus and onsite learning activities. This is to support your own learning and the development of a learning community within the unit. If you are unable to attend regularly, please discuss the situation with your course coordinator and/or our UConnect support team.

If your unit is offered Online or includes online activities, it is expected you will engage in all those activities as indicated in the Unit Outline or MyLO, including any self-directed learning.

If you miss a learning activity for a legitimate reason (e.g., illness, carer responsibilities) teaching staff will attempt to provide alternative activities (e.g., make up readings) where it is possible.

How will I be Assessed?

For more detailed assessment information please see MyLO.

Assessment schedule


ASSESSMENT TASK #	ASSESSMENT TASK NAME	DATE DUE	WEIGHT	LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:	Assignment 0 (Formative Task)	Week 3	0 %	LO2
Assessment Task 2:	Assignment 1 (Pair-based)	Week 5	12 %	LO1, LO3
Assessment Task 3:	Assignment 2 (Individual)	Week 10	24 %	LO1, LO2
Assessment Task 4:	Assignment 3 (Pair-based)	Week 13	24 %	LO1, LO2, LO3
Assessment Task 5:	Examination	Exam Period	40 %	LO1, LO2

Assessment details

Assessment Task 1: Assignment 0 (Formative Task)

Task Description:

A tiny Python programming exercise to allow you to reflect upon your ability and seek early help before summative tasks are issued.

Task Length:

Program of not more than 50 lines.

Due Date:

Week 3

Weight:

0 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Implement solution to given revision problems including user input, data processing, and calculated output.	LO2

Assessment Task 2: Assignment 1 (Pair-based)

Task Description:

A small Java programming exercise to be undertaken in pairs. Peer feedback is undertaken with this assessment task.

Task Length:

Program of not more than 300 lines.

Due Date:

Week 5

Weight:

12 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Produce and submit source file which compiles without error.	LO1, LO3
2	Implement solution to given algorithmic problem including user input, data processing, and calculated output.	LO1, LO3
3	Structure the program by adopting syntactic and style guidelines.	LO1, LO3

Assessment Task 3: Assignment 2 (Individual)

Task Description:

A Java programming assignment to be completed individually.

Task Length:

Program of not more than 500 lines.

Due Date:

Week 10

Weight:

24 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Produce and submit source file which compiles without error.	LO1, LO2
2	Specify and implement solution to given abstract data type problem including user input, data processing, and calculated output.	LO1, LO2
3	Structure the program by adopting syntactic and style guidelines.	LO1, LO2

Assessment Task 4: Assignment 3 (Pair-based)

Task Description:

A large Java pair-programming assignment to be completed in pairs. Peer feedback is undertaken with this assessment task.

Task Length:

Multiple programs each of less than 200 lines.

Due Date:

Week 13

Weight:

24 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Produce and submit source file which compiles without error.	LO1, LO2, LO3
2	Implement solution to given data structure problem including user input, data processing, and calculated output.	LO1, LO2, LO3
3	Structure the program by adopting syntactic and style guidelines.	LO1, LO2, LO3

Assessment Task 5: Examination

Task Description:

3-hour on-line open-book examination

Task Length:

3hr

How your final result is determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

Submission of assignments

Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.

Academic integrity

Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see Important Guidelines & Support.

Requests for extensions

If you are unable to submit an assessment task by the due date, you should apply for an extension.

A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.

The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.

Late penalties

Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.

Review of results and appeals

You are entitled to ask for a review of the marking and grading of your assessment task if there is an irregularity in the marking standards or an error in the process for determining the outcome of an assessment. Details on how to request a review of a mark for an assignment are outlined in the Review and Appeal of Academic Decisions Procedure.

Required Resources

Required reading materials

N/A