Course Title: Introduction to Programming

Part A: Course Overview

Course Title: Introduction to 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


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 2 2015,
Sem 1 2016,
Sem 2 2016


City Campus


171H School of Science


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


RMIT University Vietnam


140H Computer Science & Information Technology


Viet2 2007,
Viet3 2007,
Viet2 2008,
Viet3 2008,
Viet1 2009,
Viet2 2009,
Viet3 2009,
Viet1 2010,
Viet2 2010,
Viet3 2010,
Viet1 2011,
Viet2 2011,
Viet3 2011,
Viet1 2012,
Viet2 2012,
Viet3 2012,
Viet1 2013,
Viet2 2013,
Viet3 2013,
Viet3 2014,
Viet1 2015,
Viet2 2015,
Viet3 2015,
Viet1 2016,
Viet2 2016,
Viet3 2016


RMIT University Vietnam


171H School of Science


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


Taylors College KL


140H Computer Science & Information Technology


Offsh 1 11

Course Coordinator: Dr Daryl D'Souza

Course Coordinator Phone: +61 3 9925 2927

Course Coordinator Email:

Course Coordinator Location: 14.09.18

Pre-requisite Courses and Assumed Knowledge and Capabilities

Assumed Knowledge and Capabilities:

  • Capable of using the basic functions of an operating system, e.g. Windows, Mac OS X, Linux, and UNIX.
  • Complete the Lab Induction program before starting this course.    

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 the RMIT Course Requisites policy can be found at Course requisites –;ID=twx09y07zi1c


Course Description

Programming is acknowledged as a vital skill that enables problem solving through the use of computers across a range of varied disciplines. This course introduces you to basic concepts, syntax and control structures in programming. You will learn how to program in a step-wise problem solving fashion.

For ON-CAMPUS students: You are expected to bring a laptop to the lectures for this hands-on course.  

Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes

This course contributes to the following Program Learning Outcomes (PLOs) for BP162 Bachelor of Information Technology and BP232 Bachelor of Technology (Computing Studies):

PLO1. Enabling Knowledge: You will gain skills as you apply knowledge effectively in diverse contexts.

PLO2. Critical Analysis: You will learn to accurately and objectively examine and consider computer science and information technology (IT) topics, evidence, or situations, in particular to:

  • Analyse and model requirements and constraints for the purpose of designing and implementing software artefacts and IT systems
  • Evaluate and compare designs of software artefacts and IT systems on the basis of organisational and user requirements.

PLO3. Problem Solving: Your capability to analyse 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.

PLO4. Communication: You will learn to communicate effectively with a variety of audiences through a range of modes and media, in particular to:

  • Present a clear, coherent and independent exposition of software applications, alternative IT solutions, and decision recommendations to both IT and non-IT personnel via technical reports of professional standard and technical presentations.

PLO5. Team Work: You will learn to work as an effective and productive team member in a range of professional and social situations, in particular to:

  • Work effectively in different roles, to form, manage, and successfully produce outcomes from teams, whose members may have diverse cultural backgrounds and life circumstances, and differing levels of technical expertise.

PLO6. 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. 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.


Course Learning Outcomes

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

  • CLO 1: Demonstrate knowledge of basic concepts, syntax and control structures in programming.
  • CLO 2: Devise solutions to simple computing problems under specific requirements.
  • CLO 3: Encode the devised solutions into computer programs and test the programs on a computer.
  • CLO 4: Demonstrate understanding of standard coding conventions and ethical considerations in programming.    

Overview of Learning Activities

The learning activities included in this course are:

  • Students are expected to read and listen to the relevant materials before the class.
  • Key concepts will be demonstrated in lectures. Lecturer will also solve a number of problems while thinking aloud. Students will be spending the rest of the time solving programming problems, taking quizzes and doing class tests using their own laptops.
  • Students are expected to bring their laptop to the lecture and may be required to submit their class tests and quizzes online.
  • Tute-lab sessions focus on problem solving for specific requirements while providing hands-on practices on various programming tasks. Students will also do some programming tests during the tute-lab.   

A total of 120 hours of study is expected during this course, comprising:

Teacher-directed hours (48 hours): lectures, tutorials and laboratory sessions. Each week there will be 2 hours of lecture plus 2 hours of tute-lab session (a combination of tutorial and laboratory session). You are encouraged to participate during lectures through asking questions and presenting solutions to in-class exercises. In tute-lab sessions, you will do hands-on programming exercises under the guidance of the tutor to consolidate your understanding of what you’ve learnt during lectures. 

Student-directed hours (72 hours): You are expected to study in a self-directed manner outside class. Whenever encountering problems, you can use discussion forums in the course Canvas to get timely help from the teaching team and/or your study peers.    


Overview of Learning Resources

Computer laboratories and relevant software will be provided by the School during tute-labs. However, you are required to bring a Wi-Fi enabled laptop to the lecture, which will be the primary means for the experiential learning used in this course. You will be able to access course information and learning materials through the Canvas learning management system. Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided.

Overview of Assessment

The assessment for this course comprises quizzes and class tests during lectures and tute-labs, assignments and a formal end-of-semester written exam.

Note: This course has no hurdle requirements.


Assessment Task 1: In-class demos during tute-lab sessions

Weighting 30%
This assessment requires the completion of 8 demos, each worth 3.75 marks, in practical classes. These will conducted during the allocated practical class of weeks 1, 2, 3, 5, 7, 8, 9 and 11.

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

Note: Demos in Weeks 4, 6, 10 and 12 contribute to ongoing assignment work.


Assessment Task 2: Assignment 1
Weighting 10%
This assessment task supports CLOs 1, 2, 3, 4

Assessment Task 3: Assignment 2
Weighting 10%
This assessment supports CLOs 1, 2, 3, 4

Assessment 4: End-of- semester written exam
Weighting 50%
This assessment supports CLOs 1, 2, 3, 4