Course Title: Programming Internet of Things

Part A: Course Overview

Course Title: Programming Internet of Things

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

COSC2755

City Campus

Postgraduate

171H School of Science

Face-to-Face

 Sem 2 2018,
Sem 1 2019,
Sem 1 2020

COSC2755

City Campus

Postgraduate

175H Computing Technologies

Face-to-Face

 Sem 2 2023,
Sem 2 2024

Course Coordinator: Dr. Xiaoyu Xia

Course Coordinator Phone: n/a

Course Coordinator Email: xiaoyu.xia@rmit.edu.au

Course Coordinator Location: 14.11.32

Course Coordinator Availability: by appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

Enforced Pre-Requisite Courses

Successful completion of the following course/s:

OR

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 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.

 

Assumed Knowledge

General knowledge of Linux operating system, networking basic principles, Python language.


Course Description

The Programming Internet of Things (PIoT) course will teach you how to program with current and leading IoT technologies for building IoT solutions for Smart Homes, Smart Campus etc., using IoT sensor and devices.  

What will you learn:

  • Gain an an understanding of using Raspberry Pi and appropriate programming frameworks as the base to build all the projects,
  • Learn the fundamentals of IoT and then build a standard framework for developing applications,
  • Learn to capture data using sensors, and the basics of analysis and visualisation of the data,
  • Gain an understanding of other concepts around IoT such as security.

The course will be hands-on with students expected to work in groups to build complex and fun smart applications.  

This course requires the student to have their own laptop and Raspberry Pi kit.


Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes

This course is an option course so it is not required to contribute to the development of program learning outcomes (PLOs) though it may assist your achievement of several PLOs.

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


Upon successful completion of this course, you will be able to:

  1. Understand IoT principles, design and abstraction of developing IoT systems,
  2. Develop on a variety of open source devices and software services,
  3. Integrate a variety of IoT devices, sensors and services to build complex applications,
  4. Learn the basics of Raspberry Pi and compatible programming frameworks,
  5. Present and demonstrate the developed system.


Overview of Learning Activities

The learning activities included in this course are:

  • Tutorial/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, as described in Overview of Assessment (below) and Assessment Tasks (part B course guide for this Teaching Period), requiring an integrated understanding of the subject matter; and assignment work requires active team participation and effective communication, which provides practice in these skills.


Overview of Learning Resources

You will need your own laptop and Raspberry Pi kit to do this course.

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Note: This course has no hurdle requirements.

Assessment tasks

Assessment Task 1: Timed and Timetabled Quiz
Weighting 10%
This assessment task supports CLOs 1, 2 & 4

Assessment Task 2: Lab Tasks and Test
Weighting 20%
This assessment task supports CLOs 2 & 4

Assessment Task 3: Written Assignment – part 1
Weighting 30%
This assessment task supports CLOs 2, 3, 4 & 5

Assessment 4: Written Assignment – part 2
Weighting 40% 
This assessment supports CLOs 2, 3, 4 & 5

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.