Course Title: Data Communication and Net-Centric Computing

Part A: Course Overview

Course Title: Data Communication and Net-Centric Computing

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


155T Vocational Health and Sciences


Sem 2 2008,
Sem 1 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016

Course Coordinator: Leonardo Ciavarella

Course Coordinator Phone: +61 3 9925 4711

Course Coordinator Email:

Course Coordinator Location: RMIT Building 51.6.03

Pre-requisite Courses and Assumed Knowledge and Capabilities

You should be familiar with general computer architecture and understand the function and role of computer networks.

Course Description

This course will provide a broad introduction to the fundamentals of data communications and network technology.
Gain a practical understanding of relevant terminology, concepts and other information necessary to be knowledgeable in data communications.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes:
• Team Work
• Problem Solving

On successful completion of this course you should be able to:
1. Demonstrate the fundamentals of what is Data Communication and describe the OSI model and TCP/IP
2. Apply the basic concepts of data signals and the mathematical relationship between Analogue transmission and Digital transmission.
3. Distinguish between the different types of multiplexing techniques and transmission available for data communication.
4. Correct different error techniques along with a basic understanding of wireless technology.
5. Describe the different types of encryption techniques that are available.
6. Outline the roles of Big Data and cloud computing

Overview of Learning Activities

The learning activities included in this course are:
• Attendance at lectures where syllabus material will be presented, explained and illustrated with demonstrations and examples;
• Completion of tutorial questions, assignment and final exam, all designed to give further practice in the application of theory and procedures, and to give feedback on the student’s progress and understanding;
• Private study to consolidate the student’s understanding of the theory and practice.

Overview of Learning Resources

You will make use of computer laboratories and relevant software provided by the School. Lists of relevant textbooks, reference texts, resources in the Library and relevant internet sites will be provided. Online resources will be provided through myStudies, also known as Blackboard.
The computer science subject guide is located at and can provide useful references to further augment your studies.

Overview of Assessment

The assessment for this course comprises practical work involving computers, written assignments and a final exam.

This course has no hurdle requirements.

Assessment tasks

Early Assessment Task: (Worksheet 1)
Weighting 0%
This assessment task supports CLOs 1

Assessment Task 2: (Assignment 1)
Weighting 20%
This assessment task supports CLOs 1 to 3

Assessment Task 3: (Tutorial worksheets 2-12)
Weighting 30%
This assessment task supports CLO1 to 6

Assessment 4: (Final exam)
Weighting 50%
This assessment supports CLOs 1 to 6