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Assessment 2 Information
Subject Code: TECH8000
Subject Name: IT Capstone
Assessment Title: Preparing a Literature Review
Assessment Type: Literature Review
Word Count: 2000 Words (+/-10%)
Weighting: 30 %
Total Marks: 30
Submission: Via MyKBS
Due Date: Week 8
Your Task
This assessment is to be completed individually. This assessment requires you to prepare a detailed
literature review on an identified problem and provide an outline of the recommended research
approach. The goal is to demonstrate your ability to critically analyse existing literature, identify gaps,
and propose a methodical approach for further research.
Assessment Description
For this assessment, you are required to conduct a comprehensive literature review on a specific
problem within your field of study. Additionally, you must develop a detailed research outline
addressing this problem. The task involves summarizing key findings from at least 7 academic
sources, critically analysing the literature to identify gaps, and proposing a research approach to
address these gaps. Your literature review should be based on the word count indicated above and
include clearly stated research objectives, questions or hypotheses, methodology, data collection and
analysis techniques, and expected outcomes. This assessment aims to demonstrate your ability to
critically engage with existing research and formulate a coherent, methodologically sound research
plan. Ensure your work is well-organized, properly cited in any acceptable referencing style and
submitted through the MyKBS platform.
Assessment Instructions
Students must conduct scholarly research and include appropriate references. You should use at
least seven (7) sources of information and reference these in accordance with any acceptable
referencing style. These may include a combination of textbooks, websites, social media platforms,
industry reports, census data, journal articles, conference proceedings and newspaper articles. These
references should be presented as in-text citations and a referencing list at the end of your
assessment in the form of Bibliography (not included in the word limit). Avoid using Wikipedia and
other similar sites. Ensure that you use only articles published within the past seven years. You must
submit your report in Word document or in PDF format. The report should be well-structured and
organised. It should include the following details:
1. Introducing the Problem: Begin by clearly stating the IT problem faced by the company indicated
in the case study. Provide a concise overview of the problem and its significance for the company.
Explain why it is crucial to identify the causes and potential solutions for this problem. Conduct
scholarly research to gather additional insights into similar IT challenges faced by other companies
in the industry.
2. Literature Review: Conduct an extensive review of academic sources related to your chosen
problem. Summarize key findings from at least 7 credible sources, including journal articles, books,
and conference papers, as indicated above. Critically analyze the literature to highlight gaps,
inconsistencies, and areas needing further research. Organize your review coherently and
logically.
3. Research Outline: Develop a structured research outline that addresses the gaps identified in
the literature review.
Include:
a) Research Objectives: Clearly state what your research aims to achieve.
b) Research Questions or Hypotheses: Formulate specific questions or hypotheses.
c) Methodology: Identify the research methods (qualitative, quantitative, or mixed) and justify
your choices.
d) Data Collection: Outline the techniques you will use to collect data (e.g., surveys,
interviews).
e) Data Analysis: Explain how you will analyse the collected data.
f) Expected Outcomes: Discuss the potential results and their significance.
4. Formatting: The literature review should be between 1800-2200 words. Use APA, Harvard or any
standard referencing style for citations and bibliography. Submit your completed assessment
through the MyKBS platform by Week 8.
5. Marking Guideline: Please refer to the assessment marking guide for assistance in completing
all the assessment criteria
16/01/2025
27/08/2024
Kaplan Business School
Subject Code: DATA5000
Subject Name: Programming AI for Business Analytics
Assessment Instructions
Section #1: Machine Learning
1A: Installation & Module Imports
Step 1: Install Python libraries and import Python modules.
1) Run all the codes that will install and import the necessary Python libraries and models.
Step 2: Load and import macroeconomic data as a dataframe.
1) Load data: read csv file containing macroeconomic data. Create a suitable variable name for the
dataframe.
2) Write the Python code that displays information about the dataframe.
1B: Ordinary Least Squares
Step 1: Basic Dataframe Operations
Perform the necessary steps to transform the dataframe in a format ready for machine learning.
Step 2: Perform Ordinary Least Squares
Perform Ordinary Least Squares (OLS) and answer the following question: what proportion of the
outcome variable could be explained by the predictor, or feature, variables?
1C: Gradient Boosting Method
Step 1: XGBoost Machine Learning Algorithm
Create an XGBoost ML model in Python. Create a suitable variable name for the model.
Section #2: Explainable Machine Learning
2A: SHAP
Step 1: Create a SHAP Waterfall Plot of XGBoost ML
What are the Top 5 features that are correlated with the outcome variable?
Step 2: Create a SHAP Force Plot of XGBoost ML
Write no more than one paragraph summary of the insights shown by the SHAP force plot.
2B: Partial Dependence Plots (PDPs)
Step 1: Create a PDP of one feature against the outcome variable
Page 3 Kaplan Business School
Assessment Outline
Select one data feature and create a Python code that will display the PDP chart showing effects of
this feature on the outcome.
Step 2: Select a second data feature and create a PDP against the outcome variable
Select another, different, data feature and create a Python code that will display the PDP chart
showing effects of this feature on the outcome.
Section #3: Predict Causal Factors
Step 1: Use EconML AI Causal Learner
1) Create a suitable variable name for the causal machine learner.
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27/08/2024
Sydney International School Of technology & commerce
ICT 653 Emerging Technologies in IT
1. Assignment
Write a Literature Review Report on any topic related to the following.
• Cloud Computing
• Edge Computing
• Cyber Security
• Internet of Things (IoT)
• Blockchain
• Data Analytics
• Machine Learning
You must discuss the topic with the instructor before you start the assignment.
2. Learning Outcomes
• Investigate and analyze advanced principles of Cloud Computing, Edge Computing,
Internet of Things (IoT), Blockchain, Artificial Intelligence, Machine Learning
exploring their applications and implications in depth.
• Critically review and synthesize contemporary literature on any emerging technology
in IT including Cloud Computing, Edge Computing, Internet of Things (IoT),
Blockchain, Artificial Intelligence and Machine Learning.
3. Submission Details
Thisis an individual assignment. Donotstart working on the assignment before getting approval
from your instructor. The report is to be submitted in a word or pdf format. The assessment
carries 40% weightage. 30% marks are for the report and 10% marks are for the 15-minute
recorded presentation. The report length should be not less than 2500 words and not more than
3000 words. The word count does not include the title page, table of contents, list of references
and figures. Ensure all pages are numbered. The similarity index of your report should be less
than 20%. The deadline for submission of both the report and the recorded 15-minute
presentation is midnight on Sunday, 25 August 2024. Do not use AI tools for this
assignment. Late submissions will incur a 10% deduction in marks for each day beyond the
due date. A delay of more than 5 days will result in a grade of 0.
4. Structure of the report
Title Page
The title page of your report must contain:
•The title of the report (make the title as informative as possible)
•Who the report is prepared for.
•Who it is prepared by.
•The date the report is submitted.
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27/08/2024
Holmes Institute
Name Computer Forensics and Analysis
Code HI6043
Task # 1: Hands-on Practical Projects (5 Marks)
Complete the following hands-on projects from the textbook (Guide to Computer Forensics and
Investigations, 6/e, Nelson, Phillips, & Steuart, 2019)
1. Hands-on Project 1-3, Forensic Examination of Digital Media
Deliverables: Include screen shots of the hands-on project in your assessment and insert
C1Prj03 in your assignment as well. Also, provide a short summary (up to 1 page) of your
findings from this project. This summary should include your reflection on findings as well. For
example, you may write as a reflection that after your investigations you could not find (or you may
have found) any evidence that the former employee was involved in taking the company
proprietary photographs with him.
With the screen shots of your working, show/include your i2 login and/or username at least in one
of the screen shots as a proof of your own work.
2. Hands-on Project 4-3, Examining M57 Patent Case
Deliverables: In this project you are examining & #39;Terry& #39;s work USB& #39; to find if Terry has been
involved in anything illicit or against company policy. While your main focus will be
investigating for any images in the USB, you also should look if there is any other suspicious
material / activity record on the USB. Write a report with the investigation screen shots and
explaining the importance of the files you examined and how might they affect the patent case.
While providing screen shots of your working, include a short description about the
information that is given in the screen shot. For example, if you did a key word search to find
any images in the USB and you got results, describe what was your search term? What did you find
as a search result? With the screen shots of your working, show/include your i2 login and/ or
username at least in one of the screen shots as a proof of your own work.
3. Hands-on Project 5-2, Exploring MFT and Exploring Metadata of File
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27/08/2024
Sydney International School Of technology & commerce
ICT 508 Management Information Systems
Assessment Details
Woodside and BHP have agreed to merge their petroleum businesses. A major IS/IT issue relating to
this merger is the need to integrate systems and eliminate duplicated efforts. Many IS/IT models and
tools can aid in this process and facilitate the delivery of business-driven solutions.
1. Identify and analyse a model and a tool that Woodside and BHP can use to analyse their
integration issue?
2. Discuss how Woodside and BHP can apply the model and tool to resolve the issue and
evaluate success.
Students will be assessed on the following criteria:
• Evidence and depth of research (20%)
• Relevance of content (20%)
• Application of tool and model (20%)
• Clarity of Structure (10%)
• Writing to the audience (15%)
• Correct referencing (15%)
Details about each criterion can be checked by assessing the marking guide listed in the document. It
is very important to note that research is a key criterion that will influence the mark you earn. The
best research is where students make their arguments by using peer-reviewed journal articles. While
using a minimum of six (6) sources is expected, students will only achieve a top mark in their research
component when they adequately use between ten (10) and fifteen (15) quality research sources.
Kindly note that using WIKIPEDIA and other online encyclopedia is not allowed and may result in being
given a fail grade for the task.
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27/08/2024
DATA4400 2024 Trimester 2:
Questions
NOTE – the figure and table captions should include: details of the variables including the
unit of measurement (e.g. Sales (monthly total, LE$); the time period for observations and
the time increment (e.g. month from January 2013- December 2022); and if appropriate the
time period of forecasts and the name of the forecasting technique (e.g. HW forecasts for
2023).
a) Plot TRAIN sales time series plus Holt-Winter (HW) forecasts for 2023 for
BarrelWave in Tableau. Save the graph. Import the graph into your report and label it
as Figure 1, with a detailed caption.
[3 marks]
b) Plot TRAIN sales time series plus Prophet forecasts for 2023 for BarrelWave in
Exploratory. Save the graph. Import the graph into your report and label it as Figure
2, with a detailed caption.
[3 marks]
c) Selecting from statistics given in Tableau and Exploratory, construct a 2 by 2 table
with rows BarrelWave, GuyLine, and columns HW, Prophet containing the within
TRAIN RMSE. [NOTE You need to make forecasts for GuyLine to obtain the RMSE
and for Parts d) f), but you are not asked to provide graphs for GuyLine.]
Label this table as Table 1 and provide a detailed caption that distinguishes it from d).
[4 marks]
d) Make calculations of TEST RMSE using Excel and construct a 2 by 2 table with rows
BarrelWave, GuyLine, and columns HW, Prophet containing the TEST RMSE. Label
this as Table 2 and provide a detailed caption that distinguishes it from the table in c).
[4 marks – subject to submission of your TEST Excel file.]
e) Comment briefly on the RMSEs in Tables 1,2.
[3 marks]
f) Make calculations in Excel, or otherwise, find the MASE using Prophet in the TEST
series for GuyLine. The mean absolute scaled error (MASE) is the ratio of the MAE
using Prophet to the MAE using a modified naïve forecast, suitable for highly
seasonal time series when seasonal variation dominates any trend: the naïve
forecast for January 2023 sales is January 2022 sales, the naïve forecast for
February 2023 sales is February 2022 sales, and so on until the naïve forecast for
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13/08/2024
Holmes Institute
Name Computer Forensics and Analysis
Code HI6043
TASK
This assessment has two components, hands-on practical projects and a research report.
Assessment Submission Notes: Prepare an MS Word document for this assessment and include
both tasks in that document. Make sure that you write subject name and code, assessment
number, your name, SID and email address at the front page. Start each task from a new page. For
task 1, address all three hands-on projects separately. For task 2, address all questions asked in the
research project along with the information that you think is necessary.
There is no word or page limit for task 1, however, your submission should be reasonable and logical.
Do not make it too long or too short. See specific deliverables under each hands-on project or task.
Task # 1: Hands-on Practical Projects (5 Marks)
Complete the following hands-on projects from the textbook (Guide to Computer Forensics and
Investigations, 6/e, Nelson, Phillips, & Steuart, 2019)
1. Hands-on Project 1-3, Forensic Examination of Digital Media
Deliverables: Include screen shots of the hands-on project in your assessment and insert
C1Prj03 in your assignment as well. Also, provide a short summary (up to 1 page) of your
findings from this project. This summary should include your reflection on findings as well. For
example, you may write as a reflection that after your investigations you could not find (or you may
have found) any evidence that the former employee was involved in taking the company
proprietary photographs with him.
With the screen shots of your working, show/include your i2 login and/or username at least in one
of the screen shots as a proof of your own work.
2. Hands-on Project 4-3, Examining M57 Patent Case
Deliverables: In this project you are examining & #39;Terry& #39;s work USB& #39; to find if Terry has been
involved in anything illicit or against company policy. While your main focus will be
investigating for any images in the USB, you also should look if there is any other suspicious
material / activity record on the USB.
To get solution to this assignment visit :
www.edbap.com
whatsapp: 092443 64508
13/08/2024
Sydney International School of Technology and Commerce
ICT 508 Management Information Systems
Assessment 1 – Individual Report
Assessment Details
Woodside and BHP have agreed to merge their petroleum businesses. A major IS/IT issue relating to
this merger is the need to integrate systems and eliminate duplicated efforts. Many IS/IT models and
tools can aid in this process and facilitate the delivery of business-driven solutions.
1. Identify and analyse a model and a tool that Woodside and BHP can use to analyse their
integration issue?
2. Discuss how Woodside and BHP can apply the model and tool to resolve the issue and
evaluate success.
Students will be assessed on the following criteria:
• Evidence and depth of research (20%)
• Relevance of content (20%)
• Application of tool and model (20%)
• Clarity of Structure (10%)
• Writing to the audience (15%)
• Correct referencing (15%)
Details about each criterion can be checked by assessing the marking guide listed in the document. It
is very important to note that research is a key criterion that will influence the mark you earn. The
best research is where students make their arguments by using peer-reviewed journal articles. While
using a minimum of six (6) sources is expected, students will only achieve a top mark in their research
component when they adequately use between ten (10) and fifteen (15) quality research sources.
Kindly note that using WIKIPEDIA and other online encyclopedia is not allowed and may result in being
given a fail grade for the task.
Important Information
• Please include SISTC’s assessment cover page at the beginning of the submitted work.
• The assessment must be APA referenced, typed Calibri 12 font, double spaced and delivered by
using the appropriate headings and sub headings.
• Referencing is only considered adequate when the sources that are used in the work are
acknowledged both in-text and in the references list at the end of the essay.
• The assessment’s length is 1600 words (+/-) 10% including references.
• The assessment is worth 40% of your overall subject mark. 50% of the mark will go for the
presentation.
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13/08/2024
Sydney International School of Technology and Commerce
ICT 653 Emerging Technologies in IT
1. Assignment
Write a Literature Review Report on any topic related to the following.
• Cloud Computing
• Edge Computing
• Cyber Security
• Internet of Things (IoT)
• Blockchain
• Data Analytics
• Machine Learning
You must discuss the topic with the instructor before you start the assignment.
To get solution to this assignment visit :
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13/08/2024
Kaplan Business School
Assessment Instructions
Section #1: Machine Learning
1A: Installation & Module Imports
Step 1: Install Python libraries and import Python modules.
1) Run all the codes that will install and import the necessary Python libraries and models.
Step 2: Load and import macroeconomic data as a dataframe.
1) Load data: read csv file containing macroeconomic data. Create a suitable variable name for the
dataframe.
2) Write the Python code that displays information about the dataframe.
1B: Ordinary Least Squares
Step 1: Basic Dataframe Operations
Perform the necessary steps to transform the dataframe in a format ready for machine learning.
Step 2: Perform Ordinary Least Squares
Perform Ordinary Least Squares (OLS) and answer the following question: what proportion of the
outcome variable could be explained by the predictor, or feature, variables?
1C: Gradient Boosting Method
Step 1: XGBoost Machine Learning Algorithm
Create an XGBoost ML model in Python. Create a suitable variable name for the model.
Section #2: Explainable Machine Learning
2A: SHAP
Step 1: Create a SHAP Waterfall Plot of XGBoost ML
What are the Top 5 features that are correlated with the outcome variable?
Step 2: Create a SHAP Force Plot of XGBoost ML
Write no more than one paragraph summary of the insights shown by the SHAP force plot.
2B: Partial Dependence Plots (PDPs)
Step 1: Create a PDP of one feature against the outcome variable
Page 3 Kaplan Business School
Assessment Outline
Select one data feature and create a Python code that will display the PDP chart showing effects of
this feature on the outcome.
Step 2: Select a second data feature and create a PDP against the outcome variable
Select another, different, data feature and create a Python code that will display the PDP chart
showing effects of this feature on the outcome.
Section #3: Predict Causal Factors
Step 1: Use EconML AI Causal Learner
1) Create a suitable variable name for the causal machine learner.
2) Complete the Python code to create an EconML causal learner.
Step 2: ATE Chart – Visualisation of Causal Factors
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13/08/2024
Torrens University Australia
Subject Code and
Title
PROJ6000: Principles of Project Management
Assessment Assessment 3 – Project Charter Report
Instructions
You will be given a project case study to use in order to develop your Project Charter. Though all
students will receive the same case study, it is expected that each student will think about the
project from their own perspective as an up-and-coming project manager in order to formulate a
unique Project Charter. Use your own style based on your critical thinking of what it means for you
PROJ6000_Assessment 3_20240603 Page 2 of 6
to lead a project. You may use one of the templates provided in the learning resources or develop
your own format.
Please follow the instructions below:
1. Read the case study provided by your lecturer. This will form the basis for your Project
Charter, because you will assume that you are the project manager for this project.
2. After reading the case study, begin to develop your project charter. This needs to be a 2,000-
word report (+/- 10%) and must use a minimum of six (6) references (academic literature
and industry publications—please consider the case study as a 7th reference). Please ensure
all references are cited in-text.
3. The Project Charter must include the following headings and should be written as if you are
presenting it to the project team that will build this project. You are the project manager.
The contents of your Charter should include:
a. Background of the project
b. Reasons for the project
c. Project objectives
d. Proposed project management approach or methodology/methodologies
e. Constraints, limitations, and risks
f. Leadership structure (project manager and his or her senior aides: list their roles and
explain what each does in the project. You need to cite four (4) roles)
g. Project risks and their mitigation
h. Projectstakeholders and how to interact with them
i. The vision of the project and the type of project team culture you wish to promote
in your team
j. Reference list
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