Part A: Course Overview

Course Title: Programming 1

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

COSC1073

City Campus

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

 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

COSC1073

City Campus

Undergraduate

171H School of Science

Face-to-Face

 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

COSC1073

City Campus

Undergraduate

175H Computing Technologies

Face-to-Face

 Sem 1 2022,
Sem 2 2022,
Sem 1 2023,
Summer2024

COSC2081

RMIT University Vietnam

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

 Viet2 2007,
Viet3 2007,
Viet1 2008,
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,
Viet1 2014,
Viet2 2014,
Viet3 2014,
Viet1 2015,
Viet2 2015,
Viet3 2015,
Viet1 2016,
Viet2 2016,
Viet3 2016

COSC2081

RMIT University Vietnam

Undergraduate

171H School of Science

Face-to-Face

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

COSC2081

RMIT University Vietnam

Undergraduate

175H Computing Technologies

Face-to-Face

 Viet2 2022,
Viet3 2022,
Viet2 2023,
Viet2 2024

COSC2135

Open Learning Australia

Non Award

171H School of Science

Distance / Correspondence

 OUASP2UG21,
OUASP3UG21

COSC2231

Taylors College KL

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

 Offsh 3 10,
Offsh 1 11

COSC2362

City Campus

Postgraduate

140H Computer Science & Information Technology

Face-to-Face

 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

COSC2712

RMIT Vietnam Hanoi Campus

Undergraduate

175H Computing Technologies

Face-to-Face

 Viet2 2023,
Viet2 2024

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

COSC2681

OUA CSP

Undergraduate

171H School of Science

Internet

 OUACSP2021 (All)

Course Coordinator: Andy Song

Course Coordinator Phone: -

Course Coordinator Email: andy.song@rmit.edu.au

Course Coordinator Location: -

Course Coordinator Availability: By appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

Enforced Pre-Requisite Courses

Successful completion of the following course/s:

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 information go to RMIT Course Requisites webpage.

 

If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer.

Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning.

Please follow the link for further information on how to apply for credit for prior study or experience.


Course Description

This course introduces Object-Oriented programming using the Java programming language. This course covers: algorithm development using standard control structures; design methods such as step-wise refinement and object oriented programming; the use of standard Java classes and interfaces; the use of standard APIs; I/O processing; and programming style and code reuse. 


Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes

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

BH119 - Bachelor of Analytics (Honours)

PLO1    Personal and Professional Awareness
PLO2    Knowledge and Technical Competence
PLO3    Problem Solving
PLO5    Communication
PLO6    Information Literacy
PLO7    Ethics

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. Solve simple algorithmic computing problems using basic control structures and Object-Oriented Techniques.
  2. Design and implement computer programs based on analysing and modelling requirements.
  3. Identify and apply basic features of an Object-Oriented programming language through the use of standard Java (Java SE) language constructs and APIs.
  4. Identify and apply good programming style based on established standards, practices and coding guidelines.
  5. Use GitHub for software development


Overview of Learning Activities

The learning activities may include: review of pre-recorded lectures, completion of preparation activities, lectorials, laboratory-based activities, webinars, post-lecture exercises, assignment and project work, and self-study. 

Canvas: All learning materials will be available on Canvas including lecture notes, tutorial and lab exercises, example source code and recorded lectures. Students will also participate in discussion with staff and other students via the online discussion board.


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 http://rmit.libguides.com/compsci 


Overview of Assessment

Note: This course has no hurdle requirements.

Assessment tasks

Schedule A:

Assessment Task 1: Lab Assessment
Weighting 30%
This assessment task supports CLOs 1-5

Assessment Task 2: Assignment
Weighting 40%
This assessment task supports CLOs 1-5

Assessment Task 3: End-of-semester take home coding assessment
Weighting 30%
This assessment supports CLOs 1, 2, 3 & 5

 

Schedule B:

Assessment Task 1: Programming based assignments
Weighting 60% 
This assessment task supports CLOs 1-5 

Assessment Task 2: Online tests
Weighting 10% 
This assessment task supports CLOs 1-5 

Assessment Task 3: End-of-semester take home coding assessment
Weighting 30% 
This assessment supports CLOs 1, 2, 3 & 5