Professional Assignment Helper

09/11/2025

MME9624
Project Guidelines: Project report and presentation
Due date: Refer to OWL
Maximum length: 15 pages
Format:
• Follow the detailed IOP Guidelines for formatting instructions as
this is one of the most common publishers for actuator-related
research papers (these guidelines include text sizes, caption
styles, section numbering, tables, units, etc.). Your final report
should resemble the format of a submission-ready research
manuscript. Word and LaTeX templates are provided.
• All work must be typed. Handwriting or hand drawings will not be
accepted.
Report sections:
1. Title block and Abstract
Identify the project title, course code, your name, student number
and date. The abstract is a mini-version of the paper and
summarizes the most important aspects of the project.
2. Introduction
Briefly describe the general problem, provide context for the
application, and emphasize how an unconventional material
actuator/sensor/energy harvester based design solution would be
superior to conventional options.
3. Background
Technical requirements specification: Describe in detail the
pertinent technical requirements (quantitatively) for the proposed
application. These requirements will be used as a baseline for
performance evaluation in the second part of the project.
4. Actuator/sensor/energy harvester selection justification:
Describe the technology selection methodology. Explicitly justify
why both the specified class of material (i.e. shape memory
materials versus dielectric elastomers, etc.), and the specific
material within that class (i.e. Galfenol versus Terfenol-D for
magnetostrictive materials) is appropriate with respect to the
application requirements.
5. Actuator/sensor/energy harvester principle of operation:
Describe the underlying physics of the actuator/sensor/energy
harvester mode of operation. Conduct a literature review of
relevant models that have been developed to predict the
behaviour of the specified technology.

09/11/2025

MME9624
Project Guidelines: Project report and presentation
Due date: Refer to OWL
Maximum length: 15 pages
Format:
• Follow the detailed IOP Guidelines for formatting instructions as
this is one of the most common publishers for actuator-related
research papers (these guidelines include text sizes, caption
styles, section numbering, tables, units, etc.). Your final report
should resemble the format of a submission-ready research
manuscript. Word and LaTeX templates are provided.
• All work must be typed. Handwriting or hand drawings will not be
accepted.
Report sections:
1. Title block and Abstract
Identify the project title, course code, your name, student number
and date. The abstract is a mini-version of the paper and
summarizes the most important aspects of the project.
2. Introduction
Briefly describe the general problem, provide context for the
application, and emphasize how an unconventional material
actuator/sensor/energy harvester based design solution would be
superior to conventional options.
3. Background
Technical requirements specification: Describe in detail the
pertinent technical requirements (quantitatively) for the proposed
application. These requirements will be used as a baseline for
performance evaluation in the second part of the project.
4. Actuator/sensor/energy harvester selection justification:
Describe the technology selection methodology. Explicitly justify
why both the specified class of material (i.e. shape memory
materials versus dielectric elastomers, etc.), and the specific
material within that class (i.e. Galfenol versus Terfenol-D for
magnetostrictive materials) is appropriate with respect to the
application requirements.
5. Actuator/sensor/energy harvester principle of operation:
Describe the underlying physics of the actuator/sensor/energy
harvester mode of operation. Conduct a literature review of
relevant models that have been developed to predict the
behaviour of the specified technology. Based on their advantages
and deficiencies, nominate one model to be implemented in a
simulation for the second part of the project.
6. Actuator/sensor/energy harvester system design
Discuss the proposed design and show a schematic or CAD model
of the device. Include the pertinent design calculations to
demonstrate the feasibility of your design and explicitly identify
and address the major design challenges. Be sure to address all
aspects of the stipulated problem (i.e. don’t neglect the drug
delivery aspect of the stent, or the energy harvesting aspect of the
audio resonator).
7. Modelling/simulation
Demonstrate the operation of the fundamental mechanism of your
design (how you do so depends heavily on which project you’re
working on, the choice of simulation tool is left to you). Indicate the
response characteristics relevant to your topic (such as response
times, transmissibility, etc.) to illustrate how your proposed design
compares to the stipulated performance requirements.
8. Conclusions
This section should summarize your work and should also present
some real conclusions regarding the outcome of your project
(hence the section title).
9. References
9.1. Adhere to the Vancouver reference style (as per IOP
Guidelines).
9.2. Consult the following online resources for information
regarding citation practice and tips for preparing a literature
survey:
Accurate Documentation
Literature Reviews
9.3. References should cite reputable sources (i.e. peer-reviewed
journals and refereed conference proceedings).

18/10/2025

Torrens university australia
Assessment Task
As a group, develop a project action plan (in the format of a written report) that
highlights how you will achieve the goals and objectives of your project. This
project action plan will outline the action steps that you will take to ensure
project success.
Please refer to the Instructions for details on how to complete this task
Instructions
To complete this assessment, your group is required to submit a project action
plan (in the format of a written report) using the following structure:
1. Project Title
2. Project Goals (SMART goals)
Project goals outline the high-level goals that are to be achieved by the project.
Specific, Measurable, Achievable, Relevant and Time-related (SMART) goals help
define ideal goals for the project to be achieved.
3. Project Objectives
This section describes project deliverables and project milestones. To achieve
project goals, these deliverables and milestones must be completed.
4. Action Steps
Discuss tasks carried out to generate project deliverables. Action steps can be
related tasks grouped together to serve a single purpose for the project.
5. Tasks and Priorities
Define different tasks associated with your project. Identify and focus on what
tasks need doing and when. Action items are typically small, individual tasks that
make up the action steps, similar to a puzzle pieces. To effectively carry out
these tasks, it is necessary to identify their dependencies and assign priorities
for sequential ex*****on. Prioritising tasks can result in better management of
the work to be done in a timely manner.
6. Roles and Responsibilities
This section discusses the assignment of action items to team members. The
roles and responsibilities of each member must be defined.
7. Resource Allocation
This section will help you understand and define the resource requirements of
your project once the action steps and items have been defined. Each task, its
resource requirement and the allocation (duration) should be highlighted.

18/10/2025

Torrens university australia
Assessment Task
As a group, develop a project action plan (in the format of a written report) that
highlights how you will achieve the goals and objectives of your project. This
project action plan will outline the action steps that you will take to ensure
project success.
Please refer to the Instructions for details on how to complete this task
Instructions
To complete this assessment, your group is required to submit a project action
plan (in the format of a written report) using the following structure:
1. Project Title
2. Project Goals (SMART goals)
Project goals outline the high-level goals that are to be achieved by the project.
Specific, Measurable, Achievable, Relevant and Time-related (SMART) goals help
define ideal goals for the project to be achieved.
3. Project Objectives
This section describes project deliverables and project milestones. To achieve
project goals, these deliverables and milestones must be completed.
4. Action Steps
Discuss tasks carried out to generate project deliverables. Action steps can be
related tasks grouped together to serve a single purpose for the project.
5. Tasks and Priorities
Define different tasks associated with your project. Identify and focus on what
tasks need doing and when. Action items are typically small, individual tasks that
make up the action steps, similar to a puzzle pieces. To effectively carry out
these tasks, it is necessary to identify their dependencies and assign priorities
for sequential ex*****on. Prioritising tasks can result in better management of
the work to be done in a timely manner.
6. Roles and Responsibilities
This section discusses the assignment of action items to team members. The
roles and responsibilities of each member must be defined.
7. Resource Allocation
This section will help you understand and define the resource requirements of
your project once the action steps and items have been defined. Each task, its
resource requirement and the allocation (duration) should be highlighted.
8. Benchmarking and Evaluation
Evaluation and comparison are inherent features of any ICT innovation to verify
its merits and prove its usefulness. Consider the best way to benchmark and
evaluate your ICT innovation(s).
9. Ethics and Sustainability
Select and discuss the governance framework to reinforce ethics, sustainability
and safety of the proposed ICT solutions.
10. Action Plan Timeline
Define a best estimated timeline for your project action plan. This should include
the total time to complete the project. Action items and action steps should also
be included and timed.
11. Communication and Management Plan
a) Outline team selection criteria, meetings, agendas, actions, attendees.
b) Select the most appropriate reporting options to your stakeholders.

30/09/2025

Kaplan business school
Data4800
Assessment Description
This assessment seeks to simulate a real-world task that you may have to undertake in the future.
Therefore, the assignment is non-prescriptive and requires you to pose a relevant, small, creative
and significant problem to solve that could result in benefits to the organisation of choice. You can
perform your analysis using Orange or Python.
In this assessment, you need to consider an organisation in an industry of your choice and
articulate the steps this organisation needs to take to enable Machine Learning and/or AI for data-
driven decision-making. You are required to analyse a sample data set to demonstrate expected
AI/ML outcomes.
You need to be familiar with the organisation and industry (e.g., where you have worked or are
working, a future start-up company), NOT an organisation such as Amazon/Boeing/Qantas etc.
Well-reasoned use of Generative AI is encouraged. However, generic and irrelevant content will
be heavily penalised in the marking.
The report should address:
o Why AI would help this organisation given its current operations
o What Machine Learning techniques you would recommend
o An example of the predictive model using sample data
o Deployment considerations for the model
o The benefits for the organisation are clearly articulated with estimates of expected
revenue/profits or Return on InvestmentAssessment Instructions
You will be asked to produce a report and video for this assessment.
PART A: Report (25 marks)
• By Week 11 identify a company and industry you are familiar with that would benefit
from Machine Learning/AI. Define a business problem that can be solved using
Supervised Machine Learning - Classification in the chosen company (binary or multi-
class). Find a sample dataset suitable to solve the business problem defined. Note:
o The application needs to be based on Machine Learning/AI (not some other
aspect of analytics). Do not select a regression, forecasting, or reinforcement
learning task.
o Focus on a single, well-defined (small) application.

30/09/2025

Kaplan business school
Data4800
Assessment Description
This assessment seeks to simulate a real-world task that you may have to undertake in the future.
Therefore, the assignment is non-prescriptive and requires you to pose a relevant, small, creative
and significant problem to solve that could result in benefits to the organisation of choice. You can
perform your analysis using Orange or Python.
In this assessment, you need to consider an organisation in an industry of your choice and
articulate the steps this organisation needs to take to enable Machine Learning and/or AI for data-
driven decision-making. You are required to analyse a sample data set to demonstrate expected
AI/ML outcomes.
You need to be familiar with the organisation and industry (e.g., where you have worked or are
working, a future start-up company), NOT an organisation such as Amazon/Boeing/Qantas etc.
Well-reasoned use of Generative AI is encouraged. However, generic and irrelevant content will
be heavily penalised in the marking.
The report should address:
o Why AI would help this organisation given its current operations
o What Machine Learning techniques you would recommend
o An example of the predictive model using sample data
o Deployment considerations for the model
o The benefits for the organisation are clearly articulated with estimates of expected
revenue/profits or Return on InvestmentAssessment Instructions
You will be asked to produce a report and video for this assessment.
PART A: Report (25 marks)
• By Week 11 identify a company and industry you are familiar with that would benefit
from Machine Learning/AI. Define a business problem that can be solved using
Supervised Machine Learning - Classification in the chosen company (binary or multi-
class). Find a sample dataset suitable to solve the business problem defined. Note:
o The application needs to be based on Machine Learning/AI (not some other
aspect of analytics). Do not select a regression, forecasting, or reinforcement
learning task.
o Focus on a single, well-defined (small) application.
o Sample datasets may be sourced from:
▪ an organisation you work in
▪ public repositories
▪ Open government data
• The company, business problem, and dataset must be validated by your workshop
facilitator before you proceed with other steps.
• By Week 12 draft some preliminary points about the report in class. You are
encouraged to consider the current mode of operation, possible inefficiencies,
available data and how this data may be used to provide efficiencies based on the
concepts and techniques covered in the subject. Think of yourself as a consultant or a
founder.
• Describe and/or demonstrate (preferable) using techniques from weeks 10 and 11 on
how GenAI, Quantum Machine Learning and Reinforcement Learning could enhance
your solution.
• Include a list of references that are directly related to the content. Each reference
needs to be linked to at least one specific point in the content of your assessment. It is
expected that you will have at least six relevant references.
• Upload the files that contain your predictive modelling workflow (in Orange, Python) to
the file submission Dropbox provided on the assessment page. No marks will be
awarded for the assessment unless the report, dataset, and software (Orange,
Python) workflow files have been submitted.
• The report must be written using a Google Docs template (shared by your
lecturer) and submitted via Turnitin. To properly use the Google Docs template, please
follow the steps below:

24/09/2025

ICT710 Interaction Design and Usability
1.2 Overview
This unit explores components of the human-computer interaction and covers essential design
thinking practices to enhance user experience. It provides an in-depth coverage of the methods,
concepts and techniques necessary to make user experience design an integral part of developing
information interfaces.
In this unit, you will learn and master the use of group ideation techniques, sketches and software
tools to come up with prototypes and an interaction design model for the system under study. You
will also learn how to independently define user-centric interactions, describe user interfaces, test
and evaluate the defined interfaces for factors such as useability and accessibility in several practical
contexts.
1.3 Delivery Mode and Attendance Requirement
Delivery Mode: Face to face on campus/Blended/Online/Intensive
Attendance Requirement: You are expected to attend scheduled classes.
Student workload
Total timetabled hours per study
period
Total personal study hours per
study period
Total workload hours per study
period
36 108 144
Timetabled hours per week under
12-week semester
Personal study hours per week
under 12-week semester
Total workload hours per week
under 12-week semester
3 9 12
Timetabled hours per week under
6-week term
Personal study hours per week
under 6-week term
Total workload hours per week
under 6-week term
6 18 24
For students requiring additional English language support, VIT provides them with 1.5 hours English
language support per week.
1.5 Pre-requisites and Co-requisites
Pre-requisite:
ICT602 Software Engineering
Co-requisite:
Nil
1.6 Student Feedback
VIT reviews each unit regularly to enhance all aspects of its educational delivery. At the most recent
review, the following feedback/recommendations were identified by our staff and students:
Feedback/Recommendation:
•
•
Feedback/Recommendation regarding this unit from the most recent review has resulted in the
following improvements been made:
•
•
1.7 Work-integrated learning activity

21/09/2025

21/09/2025

Sydney international school of technology & commerce

ICT505 Data Analytics
Week 11
Lab
Artificial Neural Network (ANN)
Deep learning
Activity
• How does the performance and capability of traditional machine
learning algorithms compare to deep learning methods in terms of
handling complex and unstructured data

18/09/2025

Federation university australia
Assessment Details
For this assignment, you will build upon skills acquired through the course and completion of prior
assignment work to develop Metal Forum, an online link sharing site for metal enthusiasts to gather and
make friends.
The metal link sharing site has the following functional requirements:
Visitors (i.e. members of the public) can sign up to become a Member, supplying a username and
password;
Once signed up, members can add Links that they have found, with a title and a description;
Both visitors and members can see a global list of Links (the “front page”);
Members can give a rating to each link - it is up to you to decide what form this rating takes. A single
member can only rate any given link once;
The front page must show some kind of aggregate rating for each link, and should be sortable by Most
Recent or Highest Rated;
Members can view a list of links they have given a positive rating (ie favourites);
Members gain Metal Points if people rate their links positively, and lose Metal Points if people rate
their links negatively; and
Members can choose to hide particular links, without affecting the rating.
The site must be structured as an HTML front-end with a RESTful API back-end; Compared to your
previous assignment, it’s ok to have multiple HTML pages, and a mix of dynamically-generated HTML and
API-based functionality;
Apply some very basic visual design that will be attractive to metal enthusiasts;
Links in the front page or favourites page should display with the name and Metal Points of the member
who submitted it;
At minimum, the following functions, if implemented, must use a RESTful API approach, without whole-
page reloads at the client:
Posting a new link
Rating a link
Hiding a link
The API must be protected from unauthorized use - that is, members should not be able to rate links on
behalf of other users via the API, for example;
Links, ratings and member information must be saved in a relational database; and
Passwords must be securely stored (use Argon2 or bcrypt at minimum, not plain text or MD5)

18/09/2025

Federation university australia
Assessment Details
For this assignment, you will build upon skills acquired through the course and completion of prior
assignment work to develop Metal Forum, an online link sharing site for metal enthusiasts to gather and
make friends.
The metal link sharing site has the following functional requirements:
Visitors (i.e. members of the public) can sign up to become a Member, supplying a username and
password;
Once signed up, members can add Links that they have found, with a title and a description;
Both visitors and members can see a global list of Links (the “front page”);
Members can give a rating to each link - it is up to you to decide what form this rating takes. A single
member can only rate any given link once;
The front page must show some kind of aggregate rating for each link, and should be sortable by Most
Recent or Highest Rated;
Members can view a list of links they have given a positive rating (ie favourites);
Members gain Metal Points if people rate their links positively, and lose Metal Points if people rate
their links negatively; and
Members can choose to hide particular links, without affecting the rating.
The site must be structured as an HTML front-end with a RESTful API back-end; Compared to your
previous assignment, it’s ok to have multiple HTML pages, and a mix of dynamically-generated HTML and
API-based functionality;
Apply some very basic visual design that will be attractive to metal enthusiasts;
Links in the front page or favourites page should display with the name and Metal Points of the member
who submitted it;
At minimum, the following functions, if implemented, must use a RESTful API approach, without whole-
page reloads at the client:
Posting a new link
Rating a link
Hiding a link
The API must be protected from unauthorized use - that is, members should not be able to rate links on
behalf of other users via the API, for example;
Links, ratings and member information must be saved in a relational database; and
Passwords must be securely stored (use Argon2 or bcrypt at minimum, not plain text or MD5)
Database
Include enough initial data to be an effective demonstration of your site – at least 3 users, 5 links, and 10
ratings. At least one link should have no ratings at all. You may choose to use PostgreSQL (as covered in
course materials) or SQLite as your database backend.
If you choose to use PostgreSQL, include an SQL script that will generate your database with your
assignment submission. Such a script should also create the database. Please name your database
ITECH3108_30409525_a2.
If you choose to use SQLite, include your SQLite file in your submission.
Include this data as part of your written report, including a usable password for at least one
user.
(It's ok if multiple users have the same password)
Report
Include in your submission a report containing:
A brief description of your assignment architecture, including a list of URL patterns used in your API;
A statement indicating which features of the assignment you completed;
A statement indicating what help you received, if any, from outside sources. Include this statement even
if you completed the assignment entirely on your own. You do not need to acknowledge ITECH3108
course materials.
If you include the creative works of others in your database (existing text), acknowledge those sources
appropriately.