Course Title: Further Programming

Part A: Course Overview

Course Title: Further Programming

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

COSC1135

Bundoora Campus

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

 Sem 1 2006

COSC2391

City Campus

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

 Sem 1 2006,
Sem 1 2007,
Sem 2 2007,
Sem 1 2008,
Sem 2 2008,
Sem 1 2009,
Sem 1 2010,
Sem 2 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2013,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016

COSC2391

City Campus

Undergraduate

140H Computer Science & Information Technology

Face-to-Face or Internet

 Sem 2 2009

COSC2391

City Campus

Undergraduate

171H School of Science

Face-to-Face

 Sem 1 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021

COSC2391

City Campus

Undergraduate

175H Computing Technologies

Face-to-Face

 Sem 1 2022,
Sem 2 2022,
Sem 1 2023

COSC2401

City Campus

Postgraduate

140H Computer Science & Information Technology

Face-to-Face

 Sem 1 2006,
Sem 1 2007,
Sem 2 2007,
Sem 1 2008,
Sem 2 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
Sem 2 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016

COSC2401

City Campus

Postgraduate

171H School of Science

Face-to-Face

 Sem 1 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019

COSC2440

RMIT University Vietnam

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

 Viet2 2008,
Viet3 2008,
Viet1 2009,
Viet2 2009,
Viet3 2009,
Viet1 2010,
Viet3 2010,
Viet2 2012,
Viet1 2013,
Viet3 2013,
Viet3 2015,
Viet2 2016

COSC2440

RMIT University Vietnam

Undergraduate

171H School of Science

Face-to-Face

 Viet3 2017,
Viet2 2018,
Viet1 2019,
Viet1 2020,
Viet1 2021

COSC2440

RMIT University Vietnam

Undergraduate

175H Computing Technologies

Face-to-Face

 Viet1 2022,
Viet1 2023

COSC2447

Taylors College KL

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

 Offsh 3 10,
Offsh 1 11

Course Coordinator: Dr Estrid He

Course Coordinator Phone: by appointment

Course Coordinator Email: estrid.he@rmit.edu.au

Course Coordinator Location: City Campus, Building 14, level 9, room 17

Course Coordinator Availability: by appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

Enforced Pre-Requisite Courses
Successful completion of:

Note: it is a condition of enrolment at RMIT that you accept responsibility for ensuring that you have completed the prerequisite/s and agree to concurrently enrol in co-requisite courses before enrolling in a course. 

For your information go to RMIT Course Requisites webpage. 


Course Description

This course provides students with an advanced understanding of Object-Oriented software development with an emphasis on architecture and design and how this relates to programming and implementation. This course builds upon existing programming knowledge using Java as the implementation platform and assumes students already have a basic understanding of Java programming and basic OO concepts. Students will explore advanced OO concepts such as inheritance and polymorphism; abstract classes and interfaces; the Java Collection Framework (JCF), and generics/parameterized types. These topics will emphasise structural software quality evidenced through high cohesion and low coupling. This course will also cover Streams/Serialisation/Files and provide an introduction to parallel programming using threads. Students will also explore common OO design patterns such as MVC, Singleton and Facade and their application in User Interface Programming. This course serves as a pre-requisite for more specialized Java courses such as eCommerce, Web Services, Enterprise Architectures, and Mobile Application Development.


Objectives/Learning Outcomes/Capability Development

This course contributes to development of the following capabilities


Enabling Knowledge: knowledge and experience of software architecture design and implementation and how this is supported by modelling tools and integrated development environments; Understand the concept of software quality and how this can be a trade-off (e.g. performance versus reliability, coupling versus cohesion); Understand simple parallelism in multi-threaded systems and the challenges this poses in terms of implementation and testing.

Problem Solving: Ability to apply patterns and architectures to a variety of applications, taking into account domain specific requirements and constraints. Ability to perform iterative development from the design stage through to implementation and testing using commonly available platforms and tools. Ability to develop software that meets specific quality constraints by understanding the impact of architecture, design and implementation techniques on such properties.


Upon successful completion of this course, you will be able to:

  1. Demonstrate working knowledge of OO concepts and design principles in the analysis, design and implementation of solutions for small to medium scale problems.
  2. Describe and Document Diagrammatically the OO design of the Java Collection Framework (JCF) and apply this framework in Java code.
  3. Describe and Document Diagrammatically the OO design of the JavaFX APIs and apply these APIs to create graphical user interface (GUI) code.
  4. Demonstrate Proficiency using an integrated development environment such as Eclipse for project management, coding and debugging.
  5. Describe and Document Diagrammatically common OO design patterns such as Model View Controller (MVC), Singleton, Facade and apply in Java code.
  6. Describe how streams are used for I/O in Java, and apply in code with different types of files (text, binary, random access).


Overview of Learning Activities

Learning activities include presentation of concepts and demonstrations in the lectorials, design issues, programming assignments and group discussions in the practical labs. Regular feedback will be provided during the lab sessions. Java Helpdesk sessions provide help with programming tasks.


Overview of Learning Resources

Course notes, recommended references and Java software development tools.

You will make extensive use of computer laboratories and relevant software provided by the University. You will be able to access course information and learning materials through Canvas. Lists of relevant reference texts, resources in the library and freely accessible Internet sites will also be provided.


Overview of Assessment

The assessment for this course focusses on practical tasks of the sort performed in industry settings, involving the development of small to medium sized programs.
Across the major assessment tasks you will be required to demonstrate problem-solving and practical programming skills and demonstrate your understanding through video and/or live interviews describing your approach.
Shorter in-class assessments will use problem-solving coding exercises of the form typically used by industry employers in interview processes. Note that all assessments are to be performed individually.

Assessment tasks

Assessment Task 1: Practical Assignment 1 -- 20%
This assignment involves a small programming assignment early in semester to build a simple program.

This assessment task supports CLOs 1, 2, 4

Assessment Task 2: Practical Assignment 2 -- 45%
This assignment is a medium size project developing a more complex functional program built to provided specifications, involving OO design principles and basic data structures Students will also be expected to create a simple GUI front-end and a basic database back-end for their application.

This assessment task supports CLOs 1, 2, 3, 4, 5, 6

Assessment Task 3: Assignment Progress Milestone checks by in-lab demo/video/virtual interview -- 10%
Students will be required to demonstrate their code-in-progress in labs or submit short (maximum 5 minutes) videos following prescribed structure, describing design decisions, e.g., choice of data structures, code description, and any problems they encounter. The final milestone of assignment 2 is after project submission and will be performed as a virtual interview.

This assessment task supports CLOs 1, 2, 3, 4, 5, 6

Assessment Task 4: In-Class Coding Activities -- 25%
A series of coding/programming exercises (15-20 minutes each), as commonly required in industry job interview processes. They are designed to be performed in class time throughout the semester, and allow students to monitor and evaluate their learning and identify problems early.

This assessment task supports CLOs 1, 2, 4