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Unit outline_

COMP9103: Software Development in Java

Semester 2, 2020 [Normal evening] - Camperdown/Darlington, Sydney

Programming in a legible, maintainable, reusable way is essential to solve complex problems in the pervasive computing environments. This unit will equip students with foundation of programming concepts that are common to widely used programming languages. Students will be progressively guided in this introductory unit from necessary and important building blocks of programming to the object-oriented approach. Java, one of the most popular programming languages, is used in this unit. It provides interdisciplinary approaches, applications and examples to support students from broad backgrounds such as science, engineering, and mathematics.

Unit details and rules

Academic unit Computer Science
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
COMP5214
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Ali Anaissi, ali.anaissi@sydney.edu.au
Type Description Weight Due Length
Online task Programming & problem-solving skills test
Online quiz
5% - 40 minutes
Outcomes assessed: LO1 LO7 LO6 LO5 LO3 LO2
Online task Programming & problem-solving skills test
Online quiz
5% - one hour
Outcomes assessed: LO1 LO7 LO6 LO5 LO3 LO2
Final exam (Open book) Type C final exam Written exam
Type C
60% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Skills-based evaluation Weekly lab skills assessment
10% Multiple weeks N/A
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Assignment Java programming assignment
20% Week 12 N/A
Outcomes assessed: LO4 LO5 LO7 LO8
Type C final exam = Type C final exam ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

 It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average. 

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

In accordance with university policy, these penalties apply when written work is submitted after 11:59pm on the due date. <ul><li>Deduction of 5% of the maximum mark for each calendar date after the due date.</li><li> After ten calendar days late, a mark of zero will be awarded.</li></ul>

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Unit introduction/using classes and objects Online class (3 hr) LO4
Week 02 Primitive types & Java basics Online class (3 hr) LO1 LO4
Week 03 Conditions, loops and primitive arrays Online class (3 hr) LO4 LO5 LO8
Week 04 Introduction to Object Oriented Online class (3 hr) LO1 LO2 LO3 LO6
Week 05 Class members and arrayList Online class (3 hr) LO6 LO7 LO8
Week 06 Inheritance Online class (3 hr) LO2 LO6 LO7
Week 07 Abstract classes & interface Online class (3 hr) LO2 LO6 LO8
Week 08 Exceptions & File IO Online class (3 hr) LO4 LO8
Week 09 OO software development & case study Online class (3 hr) LO4 LO7 LO8
Week 10 Data structure & Java collections Online class (3 hr) LO4 LO6 LO7 LO8
Week 11 Graphical user interface Online class (3 hr) LO5 LO8
Week 12 Revision Online class (3 hr)  

Attendance and class requirements

  • Study commitment: Laboratory – Students are enabled to practice the programming skill after the lecture session.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Cay S. Horsmann, Java Concepts (5th). John Wiley & Sons, 978-0-470-10555-9.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. read, understand, and interpret Java code
  • LO2. understand, modify, and add functionality to Java programs
  • LO3. convert simple pseudo-code to Java code
  • LO4. write correct Java programs to manipulate data
  • LO5. trace, test and debug in basic Java programs
  • LO6. understand the essential concepts of object-oriented programming, including classes, objects, encapsulation, inheritance, interface, and polymorphism
  • LO7. identify, define, and analyse problems for solution with Java
  • LO8. design Java solutions that address the problems identified.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered

More information can be found on Canvas.

Additional costs

There are no additional costs for this unit.

Site visit guidelines

There are no site visit guidelines for this unit.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.