Software Technology 2 (7170.6)

Please note these are the 2018 details for this unit
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Software Technology 2
Available teaching periods Delivery mode Location
View teaching periods On-Campus
 Bruce, Canberra
EFTSL Credit points Faculty
0.125 3 Faculty Of Science And Technology
Discipline Study level HECS Bands
Academic Program Area - Technology Level 2 - Undergraduate Intermediate Unit Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
The unit provides an in-depth study of the software construction process. Topics covered include the specification, modularisation and verification of abstract data types (ADTs); data structures including arrays, stacks, queues, lists, trees, sets, maps, hash tables and heaps; and algorithms including sort, search and recursion. For ADTs in general, the unit deals with operations, representation and algorithms, space and time efficiency, and appropriateness for different applications.
This unit may be cotaught with 9073 Software Technology 2 G.

Learning outcomes

On completion of this unit students will be able to:
1. Describe a variety of algorithm design techniques and recognise the principles of good software design;
2. Apply their knowledge of algorithms and data structures to writing efficient programs;
3. Analyse and compare commonly used algorithms and data structures;
4. Design efficient algorithms and choose appropriate data structures for real-world problems and explain their space and time efficiency; and
5. Evaluate existing software modules for function and purpose.


Graduate attributes

1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development


Prerequisites

4483 Software Technology 1.

Corequisites

None.

Incompatible units

9073 Software Technology 2 G.

Equivalent units

None.

Assumed knowledge

Object-oriented programming language.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2024 Bruce, Canberra Semester 1 05 February 2024 On-Campus Dr Ghazal Bargshady
Not available

Required texts

  • There is no prescribed text book for this unit.
  • Students should refer to the first weeks lecture on line or in person , and the associated lecture notes for ideas on books and resources they might find helpful

Submission of assessment items

Extensions & Late submissions

Responsibility for understanding

If there is any doubt with regard to the requirements of any particular assignments or assessment procedure, the onus for clarifying the issue rests with the student who should contact the unit convenor or tutor. Further, it is the responsibility of students to ensure that they are correctly enrolled in the unit and that the tutor and Student Administration have their correct contact details.

Full details for each assessment item will be available on the Canvas site.

Submission of java assignments will be made as a single file of 1 or more zipped up folders (using zip), and will need to contain the BlueJ project files, all source files, any test data files written by the student, along with a report and evidence of testing. Markers are not expected to convert from some other IDE.

Special assessment requirements

The Week 9 and Week 13 Quizzes are 40% of the marks combined (hereafter referred to as the quiz marks) it is necessary to pass this component of the unit to pass the unit. Specifically, students need to get 20 of the 40 marks in these two quizzes combined to pass this unit. It is also necessary to get 50% overall for the unit to pass the unit.

Supplementary assessment

Except as directed by University Rules suplementary assesment is not offered in this subject.

Academic integrity

Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.

To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.

Use of Text-Matching Software

The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.

Programming Assignments must be submitted as zip files, they should contain BlueJ Java project files, code files, reports and evidence of testing. Students should specificaly use ZIP, not some other archival method.

Learner engagement

 Activities

 Estimated hours

 Weekly On Campus Lecture on Canvas: 2 hours/week, 12 weeks

24

 Weekly tutorial: 1 hours per tutorial,  12 weeks

12

 Weekly study commitment, in addition to the 2 items above:

 2 hours/week, 12 weeks

36

 Assignments & Final Exam: 78 hours (6 hours/week, 13 weeks)

78

 Total

150

Participation requirements

Your participation in both lecture and tutorial/lab activities will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items. The week 9 quiz and week 13 Quiz in week 9 and week 13.

Required IT skills

Common IT skills, such as writing a report electronically, using web browsers, and using LMS Systems (eg. Canvas) are required. It is assumed students are familiar with programming in Python or a similar programming language before commencing this course.

Work placement, internships or practicums

None