IFQ649 Advanced Networks
IFQ649 Advanced Networks
Assignment 1B: Practical network activities (Weeks 34)
Time limit:There is no set time limit for your video, but as a rough guide it should be approximately 23 minutes. It should not be longer than 5 minutes maximum.
Weighting:12%
Due date:11.59pm AESTSunday 19 May 2024(Week 4)
After you have read this information, head over to theAssignment 1 Q&Adiscussion board to ask any questions and see what your peers are saying about this assignment.
Assignment overview
In Assignment 1 you will complete four tasks (one per module for the first four modules of this unit). These tasks cover the building blocks you need to learn in order to build, test and maintain computer and IoT networks. This assignment compiles thetwo tasksfrom Modules 3 and 4.
Module 1: Demonstrate Hello World/Blink, interface sensor and show readings on terminal.
Module 2: Interface Bluetooth, set up Raspberry Pi, and make Teensy communicate with Raspberry Pi.
Module 3: Demonstrate MQTT and set up AWS.
Module 4: Demonstrate publish-subscribe using Raspberry PI and AWS instance, and send sensor data to AWS from Teensy through Raspberry Pi.
This assignment supportsunit learning outcomes 1, 2 and 5.
The use of artificial intelligence tools (for example Chat GPT) is not permitted in any assessment in this unit. The use of such tools when not authorised may be treated as a breach ofMOPP C/5.3 Academic integrityand appropriate penalties imposed.
Assignment details
In real-world contexts, as you develop a network you will often need to create short demonstration videos for clients or stakeholders. These videos are essentially short walk-throughs of you completing a task or demonstrating functionality, and narrating what you do.
In this assignment, you will record a short video demonstration of yourself completing these two tasks. You must demonstrate both tasks in the same video. More detailed information on each task can be found on the corresponding module page.
Module 3:3.7 Hands-on: Demonstrate MQTT and set up AWS.
Module 4:4.8 Hands-on: Demonstrate publish-subscribe using Raspberry PI and AWS instance send sensor data to AWS from Teensy through Raspberry Pi.
You will demonstrate your comprehension of these tasks by recording a video of you completing the tasks and narrating what you are doing. You do not have to practice or rehearse this video. You are not assessed on your presentation skills or the quality of your video. This is a practical demonstration, and you should focus on the two criteria you are assessed on:
Functionality:Do you successfully achieve each part of the task? Does all required functionality work correctly? Do you achieve the desired outcome?
Comprehension:How well do your narrations reflect that you understand each step and what you are doing? Do your narrations use the correct terminology?
After you submit your video, your OLA will hold a live session where they will run through the tasks with you, answer any questions you have and give your learning group verbal feedback on your videos as a whole. This is to ensure that you get useful feedback and thoroughly understand these tasks before moving on to the next assignment. Your OLA will notify you of the details for this live session closer to the date.
Think of these tasks as this unit's building blocks. You need to understand and master each of these tasks in order to be successful in Assignments 2 and 3, and in the unit as a whole.
How will I record and submit my video?
How you record your video is up to you. You might find it easiest to use the Studio tool within this unit, which lets you screen capture and/or record yourself. You might be more comfortable filming on your phone. However you choose to film, please ensure that all key elements of the task are visible to the camera (e.g. if the task involves both your Raspberry Pi and your computer screen, make sure you can see both in the camera).
When you are ready to submit your video, you will do so through the submission point on this page. See the information in the 'Submission details overview' section at the bottom of this page.
Assignment criteria
Functionality.
Comprehension.
IFQ649 Advanced Networks
Assignment 1A: Practical network tasks (Weeks 12)
Time limit:There is no set time limit for your video, but as a rough guide it should be approximately 23 minutes. It should not be longer than 5 minutes maximum.
Weighting:13%
Due date:11.59pm AESTSunday 5 May 2024(Week 2)
After you have read this information, head over to theAssignment 1 Q&Adiscussion board to ask any questions and see what your peers are saying about this assignment.
Assignment overview
In Assignment 1 you will complete four tasks (one per module for the first four modules of this unit). These tasks cover the building blocks you need to learn in order to build, test and maintain computer and IoT networks. This assignment compiles thefirst two tasksfrom Modules 1 and 2.
Module 1: Demonstrate Hello World/Blink, interface sensor and show readings on terminal.
Module 2: Interface Bluetooth, set up Raspberry Pi, and make Teensy communicate with Raspberry Pi.
Module 3: Demonstrate MQTT and set up AWS.
Module 4: Demonstrate publish-subscribe using Raspberry PI and AWS instance and send sensor data to AWS from Teensy through Raspberry Pi.
This assignment supportsHYPERLINK "https://canvas.qutonline.edu.au/courses/1569/assignments/7165" o "unit learning outcomes 1, 2 and 5."unit learning outcomes 1, 2 and 5.
The use of artificial intelligence tools (for example Chat GPT) is not permitted in any assessment in this unit. The use of such tools when not authorised may be treated as a breach ofHYPERLINK "https://www.mopp.qut.edu.au/C/C_05_03.jsp" t "_blank"MOPP C/5.3 Academic integrityand appropriate penalties imposed.
Assignment details
In real-world contexts, as you develop a network you will often need to create short demonstration videos for clients or stakeholders. These videos are essentially short walk-throughs of you completing a task or demonstrating functionality, and narrating what you do.
In this assignment, you will record a short video demonstration of yourself completing these two tasks. You must demonstrate both tasks in the same video. More detailed information on each task can be found on the corresponding module page.
Module 1:HYPERLINK "https://canvas.qutonline.edu.au/courses/1569/pages/1-dot-7-hands-on-demonstrate-hello-world-slash-blink-interface-sensor-and-show-readings-on-terminal" o "1.7 Hands on: Demonstrate Hello World/Blink, interface sensor and show readings on terminal"1.7 Hands-on: Demonstrate Hello World/Blink, interface sensor and show readings on terminal.
Module 2:HYPERLINK "https://canvas.qutonline.edu.au/courses/1569/pages/2-dot-8-hands-on-interface-bluetooth-set-up-raspberry-pi-and-make-teensy-communicate-with-raspberry-pi" o "2.8 Hands on: Interface Bluetooth, set up Raspberry Pi, and make Teensy communicate with Raspberry Pi"2.8 Hands-on: Interface Bluetooth, set up Raspberry Pi, and make Teensy communicate with Raspberry Pi.
You will demonstrate your comprehension of these tasks by recording a video of you completing the tasks and narrating what you are doing. You do not have to practice or rehearse this video. You are not assessed on your presentation skills or the quality of your video. This is a practical demonstration, and you should focus on the two criteria you are assessed on:
Functionality:Do you successfully achieve each part of the task? Does all required functionality work correctly? Do you achieve the desired outcome?
Comprehension:How well do your narrations reflect that you understand each step and what you are doing? Do your narrations use the correct terminology?
After you submit your video, your OLA will hold a live session where they will run through the tasks with you, answer any questions you have and give your learning group verbal feedback on your videos as a whole. This is to ensure that you get useful feedback and thoroughly understand these tasks before moving on to the next assignment. Your OLA will notify you of the details for this live session closer to the date.
Think of these tasks as this unit's first building blocks. You need to understand and master each of these tasks in order to be successful in Assignments 2 and 3, and in the unit as a whole.
How will I record and submit my video?
How you record your video is up to you. You might find it easiest to use the Studio tool within this unit, which lets you screen capture and/or record yourself. You might be more comfortable filming on your phone. However you choose to film, please ensure that all key elements of the task are visible to the camera (e.g. if the task involves both your Raspberry Pi and your computer screen, make sure you can see both in the camera).
When you are ready to submit your video, you will do so through the submission point on this page. See the information in the 'Submission details overview' section at the bottom of this page.
Assignment criteriaFunctionality.
Comprehension.
IFQ649 Advanced NetworksAssignment 1B: Practical network activities (Weeks 34)
Time limit:There is no set time limit for your video, but as a rough guide it should be approximately 23 minutes. It should not be longer than 5 minutes maximum.
Weighting:12%
Due date:11.59pm AESTSunday 19 May 2024(Week 4)
After you have read this information, head over to theHYPERLINK "https://canvas.qutonline.edu.au/courses/1569/discussion_topics/133599" t "_blank" o "Assignment 2 Q&A"Assignment 1 Q&Adiscussion board to ask any questions and see what your peers are saying about this assignment.
Assignment overview
In Assignment 1 you will complete four tasks (one per module for the first four modules of this unit). These tasks cover the building blocks you need to learn in order to build, test and maintain computer and IoT networks. This assignment compiles thetwo tasksfrom Modules 3 and 4.
Module 1: Demonstrate Hello World/Blink, interface sensor and show readings on terminal.
Module 2: Interface Bluetooth, set up Raspberry Pi, and make Teensy communicate with Raspberry Pi.
Module 3: Demonstrate MQTT and set up AWS.
Module 4: Demonstrate publish-subscribe using Raspberry PI and AWS instance, and send sensor data to AWS from Teensy through Raspberry Pi.
This assignment supportsHYPERLINK "https://canvas.qutonline.edu.au/courses/1569/assignments/7166" o "unit learning outcomes 1, 2 and 5"unit learning outcomes 1, 2 and 5.
The use of artificial intelligence tools (for example Chat GPT) is not permitted in any assessment in this unit. The use of such tools when not authorised may be treated as a breach ofHYPERLINK "https://www.mopp.qut.edu.au/C/C_05_03.jsp" t "_blank"MOPP C/5.3 Academic integrityand appropriate penalties imposed.
Assignment details
In real-world contexts, as you develop a network you will often need to create short demonstration videos for clients or stakeholders. These videos are essentially short walk-throughs of you completing a task or demonstrating functionality, and narrating what you do.
In this assignment, you will record a short video demonstration of yourself completing these two tasks. You must demonstrate both tasks in the same video. More detailed information on each task can be found on the corresponding module page.
Module 3:HYPERLINK "https://canvas.qutonline.edu.au/courses/1569/pages/3-dot-7-hands-on-demonstrate-mqtt-and-set-up-aws" o "3.7 Hands on: Demonstrate MQTT and set up AWS"3.7 Hands-on: Demonstrate MQTT and set up AWS.
Module 4:HYPERLINK "https://canvas.qutonline.edu.au/courses/1569/pages/4-dot-8-hands-on-demonstrate-publish-subscribe-using-raspberry-pi-and-aws-instance-send-sensor-data-to-aws-from-teensy-through-raspberry-pi" o "4.8 Hands on: Demonstrate publish-subscribe using Raspberry PI and AWS instance send sensor data to AWS from Teensy through Raspberry Pi"4.8 Hands-on: Demonstrate publish-subscribe using Raspberry PI and AWS instance send sensor data to AWS from Teensy through Raspberry Pi.
You will demonstrate your comprehension of these tasks by recording a video of you completing the tasks and narrating what you are doing. You do not have to practice or rehearse this video. You are not assessed on your presentation skills or the quality of your video. This is a practical demonstration, and you should focus on the two criteria you are assessed on:
Functionality:Do you successfully achieve each part of the task? Does all required functionality work correctly? Do you achieve the desired outcome?
Comprehension:How well do your narrations reflect that you understand each step and what you are doing? Do your narrations use the correct terminology?
After you submit your video, your OLA will hold a live session where they will run through the tasks with you, answer any questions you have and give your learning group verbal feedback on your videos as a whole. This is to ensure that you get useful feedback and thoroughly understand these tasks before moving on to the next assignment. Your OLA will notify you of the details for this live session closer to the date.
Think of these tasks as this unit's building blocks. You need to understand and master each of these tasks in order to be successful in Assignments 2 and 3, and in the unit as a whole.
How will I record and submit my video?
How you record your video is up to you. You might find it easiest to use the Studio tool within this unit, which lets you screen capture and/or record yourself. You might be more comfortable filming on your phone. However you choose to film, please ensure that all key elements of the task are visible to the camera (e.g. if the task involves both your Raspberry Pi and your computer screen, make sure you can see both in the camera).
When you are ready to submit your video, you will do so through the submission point on this page. See the information in the 'Submission details overview' section at the bottom of this page.
Assignment criteriaFunctionality.
Comprehension.
IFQ649 Assignment 2
Project proposal
Your name Project title
Dimitrios VasiliadisRaspberry Pi Based home and fire security system
Project description
Our project targets the creation of a Home Monitoring System based on Raspberry Pi that enables detecting intrusion as well as fire. This mechanism will rely on sensors which are connected to the Raspberry Pi to be able to detect changes in the environment and sound of a warning if there is any intrusion or fire danger.
Project importance
Accompanied by crime rate and fire hazard issues, a cost-effective and reliable answer is a must. This project deals with the aforementioned worries by implementing a highly effective and customizable system of security available to both homeowners and tenants at an affordable price, ensuring the safety and peace of mind of their families.
Network tiers
Tier 1: Embedded (sensing) tier: Implementing sensors for intrusion detection directly into the monitoring devices. For instance, sensors are integrated into door/window frames and motion detectors, activating when triggered.
Tier 2: Edge tier: Developing data processing and decision-making algorithms to analyze sensor data at the edge of the network. This tier enables quick detection of anomalies and triggers alarms or notifications locally without relying heavily on cloud resources.
Tier 3: Cloud tier: Utilizing cloud-based services to enhance functionality beyond local processing. This includes sending alerts to smartphones or laptops of homeowners, activating sirens, lights, and providing notifications based on the analysis done at the edge.
Network diagram
Hardware
Sensors: Motion detectors will be mounting on the doors, windows, smoke detectors as well as temperature sensors.
Other hardware: An educational kit centered on the Raspberry Pi microcontroller board.
Relay modulesLED indicators
Buzzer/siren
Power supply
Feasibility
Is the project feasible? I can execute the project in consideration of the Raspberry Pi board and other available sensors. Relevant components, which include the necessary hardware, will be acquired at the electronic stores around town and maybe online retailers for convenience of procurement. As a result, we consider this undertaking as out of the question.
