Course Title: Programming Fundamentals

Part A: Course Overview

Course Title: Programming Fundamentals

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

COSC2531

City Campus

Postgraduate

140H Computer Science & Information Technology

Face-to-Face

 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 2 2016

COSC2531

City Campus

Postgraduate

171H School of Science

Face-to-Face

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

COSC2531

City Campus

Postgraduate

175H Computing Technologies

Face-to-Face

 Sem 1 2022,
Sem 2 2022,
Sem 1 2023,
Sem 2 2023,
Sem 1 2024,
Sem 2 2024

COSC2976

RMIT University Vietnam

Postgraduate

175H Computing Technologies

Face-to-Face

 Viet2 2022,
Viet3 2022,
Viet3 2023,
Viet3 2024

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

COSC2531

City Campus

Postgraduate

175H Computing Technologies

Internet

 JulDec2022 (All)

COSC2531

City Campus

Postgraduate

175H Computing Technologies

Internet

 JanJun2023 (All)

COSC2531

City Campus

Postgraduate

175H Computing Technologies

Internet

 JanJun2024 (All)

COSC2531

City Campus

Postgraduate

175H Computing Technologies

Internet

 JulDec2024 (All)

Course Coordinator: Dr Huong Ha

Course Coordinator Phone: by email

Course Coordinator Email: huong.ha@rmit.edu.au

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

Programming skill represents a generic problem solving ability, and is considered essential for anyone involved in the development and maintenance of software systems.

This course aims to introduce you to foundational knowledge about:

  • computer systems;
  • their components and interactions between components;
  • the conceptual building blocks necessary for programming; and
  • basic computer programming skills.


Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes

This course contributes to the program learning outcomes for the following program(s):

GC188 - Graduate Certificate in Information Technology
GC197 - Graduate Certificate in Foundation of Artificial Intelligence
MC208 - Master of Information Technology

PLO 1    Enabling Knowledge
PLO 2    Critical Analysis
PLO 3    Problem Solving
PLO 5    Responsibility

MC267 - Master of Data Science

PLO 1    Enabling Knowledge
PLO 2    Critical Analysis
PLO 3    Problem Solving
PLO 4    Communication
PLO 6    Responsibility

MC271 - Master of Artificial Intelligence

PLO 1    Enabling Knowledge
PLO 2    Critical Analysis
PLO 3    Problem Solving

GC036O - Graduate Certificate in Cyber Security 

PLO 2    Critical analysis and problem solving
PLO 3    Communication

GC036OP25 - Graduate Certificate in Cyber Security

PLO 1    Demonstrate specialized knowledge and understanding of scientific theories, principles, concepts, and practices in Cyber Security.
PLO 2    Communicate individual and/or team-based solutions for cyber security problems.
PLO 3    Demonstrate professional integrity, ethical conduct, sustainable and culturally inclusive standards in designing and implementing Cyber Security solutions.

GD162P25 - Graduate Diploma in Cyber Security

PLO 1    Apply an advanced understanding of scientific theories, principles, concepts, and practices in Cyber Security.
PLO 4    Communicate and collaborate ideas and threat analysis outcomes to multi-disciplinary stakeholders in various contexts, utilising a variety of digital platforms and traditional formats 
PLO 5    Demonstrate professional integrity, ethical conduct, sustainable and culturally inclusive standards in designing and implementing Cyber Security solutions

For more information on the program learning outcomes for your program, please see the program guide.


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

  1. Analyse simple computing problems.
  2. Devise suitable algorithmic solutions and code these algorithmic solutions in a computer programming language.  
  3. Develop maintainable and reusable solutions using the object oriented paradigm.


Overview of Learning Activities

1. Teaching staff inputs:

Syllabus material will be presented, explained and illustrated with demonstrations, examples and problems in pre-recorded lectures, tutorials, laboratories or online. Problem solving exercises, assignments and discussions are designed to develop your analytical skills, drawing on knowledge and frameworks covered in lectures.

2. Your inputs as a learner:

Your active and constructive participation in lectorials, and tutorial discussions is expected in addition to weekly private study, completion of tutorial and laboratory questions and careful planning and completion of assessment tasks.

 

Please note that postgraduate students are expected to demonstrate knowledge and skills at postgraduate level.


Overview of Learning Resources

You should make extensive use of computer laboratories and relevant software provided by the School. You should be able to access course information and learning materials through myRMIT and may be provided with copies of additional materials in class or via email.

Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided.


Overview of Assessment

Note: There are no hurdle requirements in this course.

 

On-campus Version:

Assessment Task 1: Assignment 1
Weighting 20%
This assessment task supports CLOs 1 & 2

Assessment Task 2: Assignment 2
Weighting 30%
This assessment task supports CLOs 1, 2 & 3

Assessment Task 3: In-class challenges
This task comprises of 2 in-class challenges
Weighting 20%
This assessment task supports CLOs 1, 2 & 3

Assessment Task 4: Final coding project
Weighting 30%
This assessment task supports CLOs 1, 2 & 3

 

RMIT Online Version:

Assessment Task 1: Problem-solving Exercises
This task comprises of 2 exercises
Weighting 20%
This assessment task supports CLOs 1, 2 & 3

Assessment Task 2: Class Tests 1, 2 and 3
This task comprises of 3 tests
Weighting 50%
This assessment task supports CLOs 1, 2 & 3

Assessment Task 3: Object Oriented Application
Weighting 30%
This assessment task supports CLOs 1, 2 & 3

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.