Course Title: Advanced Programming

Part A: Course Overview

Course Title: Advanced Programming

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


140H Computer Science & Information Technology


Sem 1 2006,
Sem 2 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 2 2013,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016


City Campus


171H School of Science


Sem 1 2017,
Sem 2 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


City Campus


175H Computing Technologies


Sem 1 2022,
Sem 2 2022,
Sem 1 2023

Course Coordinator: Dr Estrid He

Course Coordinator Phone: by email

Course Coordinator Email:

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 Prerequisite: COSC 2531 Programming Fundamentals or equivalent.

You may not enrol in this course if you have previously passed Java for Programmers.

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.

Course Description

This course extends the study of basic programming principles introduced in Programming Fundamentals. Advanced concepts of program design, implementation and testing will be introduced within a framework of object oriented programming using the Java programming language.

Objectives/Learning Outcomes/Capability Development

This course is an option course for several programs and a core course in MC208 Master of Information Technology contributing to the following Program Learning Outcomes:
1. Enabling Knowledge:
You will gain skills as you apply knowledge with creativity and initiative to new situations. In doing so, you will demonstrate mastery of a body of knowledge that includes recent developments in computer science and information technology

2. Critical Analysis:
You will learn to accurately and objectively examine, and critically investigate computer science and information technology (IT) concepts, evidence, theories or situations, in particular to analyse and model complex requirements and constraints for the purpose of designing and implementing software artefacts and IT systems.

3. Problem Solving:
Your capability to analyse complex problems and synthesise suitable solutions will be extended as you learn to: design and implement software solutions that accommodate specified requirements and constraints, based on analysis or modelling or requirements specification.

4. Communication:
You will learn to communicate effectively with a variety of audiences through a range of modes and media, in particular to: interpret abstract theoretical propositions, choose methodologies, justify conclusions and defend professional decisions to both IT and non-IT personnel via technical reports of professional standard and technical presentations.

5. Responsibility:
You will be required to accept responsibility for your own learning and make informed decisions about judging and adopting appropriate behaviour in professional and social situations. This includes accepting the responsibility for independent life-long learning and a high level of accountability. Specifically, you will learn to: effectively apply relevant standards, ethical considerations, and an understanding of legal and privacy issues to designing software applications and IT systems.

Upon successful completion of this course you should be able to:

  1. Use the Java programming language for algorithmic problem-solving and the implementation of small to medium sized application programs that illustrate professionally acceptable coding and performance standards.
  2. Demonstrate knowledge of the basic principles of the object oriented development process and apply this understanding to the analysis and design of solutions for small to medium scale problems.
  3. Describe the Java Collections Framework (JCF) and apply this framework in Java code.
  4. Implement basic event-driven programming and graphical user interfaces using JavaFX.
  5. Describe common OO design patterns such as Model View Controller (MVC), Singleton, Facade and apply in Java code.

Overview of Learning Activities

The learning activities included in this course are:

  • key concepts will be explained in lectorials, classes or online, where syllabus material will be presented and the subject matter will be illustrated with demonstrations and examples;
  • labs and/or group discussions (including online forums) focused on projects and problem solving will provide practice in the application of theory and procedures. Allow exploration of concepts with teaching staff and other students, and give feedback on your progress and understanding;
  • assignments requiring an integrated understanding of the subject matter; and private study, working through the course as presented in classes and learning materials, and gaining practice at solving conceptual and technical problems.

Overview of Learning Resources

The course is supported by the Canvas learning management system which provides specific learning resources. See the RMIT Library Guide at

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 short simple coding exercises of the form typically used by industry employers in interview processes.

Note that all assessments are to be performed individually.

There are no hurdle requirements in this course.

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

This assessment task supports CLOs 1, 2, 3

Assessment Task 2: Practical Assignment 2 -- 45%
This assignment is an extended 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

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 (max 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

Assessment Task 4: In-Class Coding Activities -- 25%
A series of short 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, 3, 4