BU1007编程代做、代写c++，Python程序设计
Subject Title Principles of Data Analysis for Business
Subject Code BU1007
Credit Points 3
Study Period TR2
Attendance Mode Internal
Campus Singapore
Prerequisite/s Nil
Subject Coordinator/
At James Cook University, we acknowledge the Australian Aboriginal and Torres Strait Islander peoples
of this nation. We acknowledge the Traditional Owners of the lands on which our campuses and study
centres are located and where we conduct our business. We pay our respects to ancestors and Elders,
past, present and future. JCU is committed to honouring Australian Aboriginal and Torres Strait Islander
peoples’ unique cultural and spiritual relationships to the land, waters and seas and their rich
contribution to JCU and society.
Copyright 2024
This publication is covered by copyright regulations. Apart from any fair dealing for the purpose of private
study, research, criticism, or review as permitted under the Copyright Act, no part may be reproduced by
any process or placed in computer memory without written permission (including file sharing websites).
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Contents
1 Subject details................................................................................................................................. 3
1.1 Student participation requirements ................................................................................................... 3
1.2 Teaching Staff contact details............................................................................................................. 3
1.3 Subject description ............................................................................................................................ 4
1.4 Subject learning outcomes and course learning outcomes ................................................................. 4
1.5 Student feedback on subject and teaching ......................................................................................... 4
1.6 Subject resources and special requirements ....................................................................................... 5
1.7 Generative AI Usage ........................................................................................................................... 6
2 Assessment details ......................................................................................................................... 6
2.1 Key dates ........................................................................................................................................... 6
2.2 Requirements for successful completion of this subject ..................................................................... 6
2.3 AccessAbility Services and Support..................................................................................................... 7
2.4 Assessment items .............................................................................................................................. 7
3 Submission and return of assessment .......................................................................................... 16
3.1 Submission of assessment ................................................................................................................ 16
3.2 Late submissions .............................................................................................................................. 16
3.3 Special Consideration (including deferrals and extensions) ............................................................... 16
3.4 Academic Integrity ........................................................................................................................... 17
3.5 Return of assessment ....................................................................................................................... 17
3.6 Review of assessment ...................................................................................................................... 17
3.7 Confirmation of Student Authorship ................................................................................................ 18
4 Learning and teaching in this subject ............................................................................................ 19
4.1 Subject calendar .............................................................................................................................. 19
4.2 Learning and teaching activities/expectations .................................................................................. 21
This Subject Outline has been prepared by A/Prof. Huiping Zhang for the College of Business, Law &
Governance, James Cook University. Updated April 12, 2024.
The information provided in this subject outline is correct as at the time of completion and may change
in response to changing University resources. Any changes will be approved by the College Dean or
representative and will be communicated to students by the LearnJCU subject site.
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1 Subject details
1.1 Student participation requirements
The JCU Learning, Teaching and Assessment Procedures (2.1.2d) indicates a typical student workload for
a three (3) credit point subject requires a 130 hour work load of study related activities, including
attendance, assessment and self-directed study over the duration of the subject with equivalency across
all attendance modes.
Note that attendance at specified classes will be a mandatory requirement for satisfactory completion of
some subjects (Learning, Teaching and Assessment Procedures, 3.1.8e) and that additional hours may be
required per week for those students in need of English language, numeracy or other learning support.
Key subject activities
On-campus > Lectures - may include recorded
presentations, online activities & self-learning
activities inclusive of lectures, via LearnJCU (20 hours)
Refer to the appropriate Timetable:
or your eStudent personal timetable
On-campus > Tutorials - may include recorded
presentations, online activities & self-learning
activities inclusive of synthesising sessions, via
LearnJCU (20 hours)
Refer to the appropriate Timetable:
JCU Australia
JCU Brisbane
JCU Singapore
or your eStudent personal timetable
For information regarding class registration, visit the Class Registration Schedule.
Learning and teaching activities may be recorded for this subject. Personal Information in the form of
images and audio may be collected by JCU during the recording. This Personal Information may appear
as part of the recording which is accessible to students and staff in this subject on LearnJCU.
1.2 Teaching Staff contact details
Teaching
team Staff member Room Phone Email
Consultation
times*
Subject
Cordinator
(JCUA)
Lecturer
(JCUS) A/Prof Huiping Zhang E3-01 65 67093729 Huiping.zhang@jcu.edu.au By email
Tutor 1
(JCUS)
Mr. Jackson Lau Jackson.lau@jcu.edu.au By email
Tutor 2
(JCUS) Mr.Lim Sim Guan Sim.lim@jcu.edu.au By email
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Learning
Advisors
JCU Singpore Learning
Centre C1-12B n/a
learningcentre-
*Other consultation times by appointment only.
1.3 Subject description
In a world where more data and more complex data is readily available, understanding and applying the
principles of data analysis drives timely decision making which is an essential skill to any student. This
subject provides students with an introduction to data analysis, contextualised using data sources you
commonly encounter in business environments. Students cover the foundational principles of data
analysis, which are the selection, analysis and interpretation of data. The subject demonstrates that the
research question you wish to answer, drives the data selection and the analysis method. The
interpretation and clear communication of the subsequent findings ensure correct decision making,
which in turn drives business success.
1.4 Subject learning outcomes and course learning outcomes
On successful completion of this subject, you will be able to:
describe the practical relevance of data analysis for application in business contexts
identify and outline a range of data sources, types and analysis methods relevant to business
management
apply appropriate methods, interpret results and recommend actions to make insightful business
decisions and solve business related problems
These outcomes will contribute to your overall achievement of course learning outcomes.
CLO3: Demonstrate initiative, independence, judgement, and reflective practice with a commitment to
lifelong learning and professional development
CLO4: Critically evaluate, interpret and communicate information, data and resources in academic and
digital contexts
CLO8: Select, analyse and interpret quantitative and qualitative data, using appropriate methodologies
and applications and convey findings and recommendations through effective written and oral
communication
CLO9: Apply technical and digital skills, including literacy and numeracy necessary for professional
practice in business
1.5 Student feedback on subject and teaching
Students are at the heart of JCU and as part of our commitment to improving the quality of our subjects
and teaching, we regularly seek feedback on the JCU student experience.
YourJCU Surveys are available to all students through LearnJCU. You will receive an email invitation
when the survey opens.
In response to previous student feedback and other data, the following enhancements to this subject
have been made:
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Free open access to our class e-textbook. Contains a wide range of excercises and solutions for
students to practice in their own time along with other interactive activities that can be
accessed;
Use of engaging tools, such as Gamification through implementation of ‘Quizizz’ within our
synthesis sessions which promote collaboration and interaction amongst students but also assist
with preparing for our assessments;
Assessments to include both written work (i.e. statistical report), as well as online exams;
Synthesis sessions were delivered online, these are now be held face to face, with options to
participate online as well; and
Student feedback by externally enrolled students have asked for weekly online sessions.
1.6 Subject resources and special requirements
All subject readings and resources, including journal articles, book chapters, websites, videos, print and
eTextbooks, are available to view online from your Readings list via your LearnJCU subject site.
All subject readings and resources, including journal articles, book chapters, websites, videos, print and
eTextbooks, are available to view online from your Readings list via your LearnJCU subject site. Textbooks
are listed in your Readings list, including links to library holdings. The JCU Library has limited print copies
of prescribed textbooks for two-day loan, and options for viewing available eTextbooks online.
Additionally, you can find the most appropriate library subject resources, including dedicated discipline-
specific Library Guides, relevant databases and access to library services and staff through the Your Library
tool, in your LearnJCU subject site.
Our prescribed textbook for BU1007_1807 is “Introductory Statistics”, an OpenStax textbook which is free
to all users, there is no cost to students. Students can access the e-book here. They may also save it as a
PDF file, should they choose to. We will also use other free Open Educational Resources such as chapter/s
from this e-book and those the university has licenses to, such as LinkedIn Learning.
There are a variety of in-built excercises throughout the text book available for students to practice and
assist with consolidating their knowledge. These include: end of section practice and homework sets,
examples of each topic are explained step-by-step throughout the text and followed by a Try It problem
(Bookshare, 2021).
There are also collaborative exercises and statistics labs designed to give students the opportunity to work
together and explore key concepts (Bookshare, 2021).
Students may also practice further free excercises via Grasple.
Readings and Copyright
Use the Readings platform for all your readings and other resources, including prescribed textbooks,
eTextbooks, journal articles, digitised chapters, websites, links to Library Guides, LinkedIn Learning,
relevant referencing style guides and video content (e.g. YouTube, LinkedIn Learning, Kanopy, Anatomy
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TV, Vetstream etc.). Readings is linked to your LearnJCU site through an LTI in the tools menu. Assistance
with using the Readings platform is available from the Readings at JCU Guide.
Your Library
The Your Library LTI tool uses metadata to link the most appropriate library subject resources to your
LearnJCU site, including discipline-specific Library Guides, relevant databases, and access to library
services and staff.
Direct any queries regarding this section to infohelp@jcu-au.libanswers.com.
1.7 Generative AI Usage
This Subject permits the use of Generative AI tools for the completion of learning activities and/or
assessments.
2 Assessment details
2.1 Key dates
Key dates Date
Census date and Last date to withdraw without financial
penalty See 2024 JCUS Study Period and Census Dates
Last date to withdraw without academic penalty See 2024 JCUS Study Period and Census Dates
Assessment item 1: Other - (40%)
Statistical Report
Due on 16/06/2024 11:59pm (Singapore time)
Assessment item 2: Written - Test/Quiz 1 (30%)
Online (Multiple Choice)
Due on 19/07/2024 (Friday)
Assessment item 3: Multi method - Multi method (30%)
Examination (Multiple Choice with Short Answers)
Due on 17/08/2024 (Saturday)
2.2 Requirements for successful completion of this subject
In order to pass this subject, you must:
Achieve an overall percentage of 50% or more
Mandatory attendance requirements apply in this subject. A student who fails to attend at least 8
out of 10 workshops, must meet with the Associate Dean of Learning and Teaching and provide
evidence as to why they should be permitted to submit the final assessment task.
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Demonstrate a reasonable attempt on all assessment items. Students who have completed less
than 100% of the assessment will be subject to review by the College Assessment Committee
which could result in failing the Subject (F – Fail), and
Complete at least 80% of assessment requirements, as listed above, and
Failure to comply with the above will result in an F (Fail) Result.
Final results for this subject will be graded as described in the Student Results Policy.
Supplementary examinations/supplementary assessments are available for this subject, in accordance
with the Learning, Teaching and Assessment Procedure (3.2.10.e or 3.2.10.f) and the Student Results
Policy (2.1).
2.2.1 How do I track my progress in this subject?
Students are strongly encouraged to participate in tutorials to help consolidate their knowledge on the
subject matter discussed, as they receive feedback on tutorial questions. In addition, online quizzes
provide students with instant feedback. Multiple opportunities are provided through this platform for
students to apply their knowledge through trial and error. A comprehensive feedback will be provided
through an online rubric on the case study.
2.3 AccessAbility Services and Support
Reasonable adjustments may be made to assist you to manage additional circumstances impacting on
your studies provided these do not change the academic integrity of a course. Reasonable adjustments
do not alter the need to be able to demonstrate the inherent requirements of the course.
If you believe you will experience challenges completing your subject or course because of a disability,
health condition or other reason, you should fill up the Accessibility Intake form (click Forms for
Prospective Students to locate this) and submit to the relevant Student Ambassador at JCUS who will be
in touch with you.
Your course inherent requirements can be found here.
2.4 Assessment items
Our assessments are positioned to take place at the end of each learning unit, that of Descriptive
Statistics (weeks 1 to 3), Probability Theory (Weeks 4-6) and Inferential Statistics (Weeks 7-10) [Figure 1
below]. They are designed to assess students’ knowledge on the concepts covered during those units
and their ability to execute the associated statistical processes from which interpretations and insights
are drawn from.
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Figure 1 Content Map
ASSESSMENT ITEM 1: (OTHER) STATISTICAL REPORT
Aligned subject learning
outcomes
describe the practical relevance of data analysis for application in business
contexts
identify and outline a range of data sources, types and analysis methods relevant
to business management
apply appropriate methods, interpret results and recommend actions to make
insightful business decisions and solve business related problems
Group or individual Individual assessment item
Weighting and due date 40%, due on 16/06/2024 11:59pm (Singapore time)
Requirements for
successful completion of
this assessment item
Demonstrate a reasonable attempt on all assessment items. Students who have completed
less than 80% of assessment requirements will receive an ‘X’ grade (Fail).
Generative AI use
Generative AI tools are restricted in this assessment item
In this assessment, you can use Generative Artificial Intelligence (GenAI) in order to assist
with literature review research only. Any use of generative AI must be appropriately
acknowledged and include a Declaration of AI-Generated Material.
ASSESSMENT ITEM 1: DESCRIPTION
The aim of this assessment is for you to apply knowledge gained from weeks 1 to 3 which covers
foundational principles relating to descriptive statistics and demonstrate mastery of the associated
statistical techniques introduced within this unit. You are then assessed on your ability to synthesise this
information and present and communicate your findings effectively through the production of a statistical
report.
There are three topic scenarios available (access folder ‘Assessment 1’ via LearnJCU) from which you are
to select only one. You will need to locate relevant data sources relating to the chosen topic and undertake
the appropriate statistical methods and tests in response to the questions put forward using MS Excel
data analysis tools.
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As the author of this statistical report, you are to write from the point of view of a statistician,
communicating the contents within the report to the relevant department as stated within the selected
scenario.
Step 1: Select a topic of interest from the three scenarios provided within our LearnJCU Assessment 1
folder.
Step 2: Download both the Statistical Report template and Excel file template provided within our
LearnJCU Assessment 1 folder.
Step 3: Research relevant data sources from the suggested websites provided within the selected topic
scenario [Step 1]. Select data and input this raw data directly into the Excel file template provided within
our LearnJCU Assessment 1 folder [Step 2]. Cite the data source within your excel file and statistical report.
Step 4: Explore relevant course readings and conduct exercises within our “Descriptive Statistics” learning
unit. Read and incorporate wider literature, including journal articles and grey literature on your chosen
topic to support your statistical report. For help on how to find journal articles go to the “Finding Journal
Articles” page in your library web site. The link refers to this
page: https://www.jcu.edu.au/library/find/journal-articles/finding-journal-articles.
Step 5: Conduct necessary statistical techniques required on the selected data within the excel template
provided. Produce required tables, charts required as stipulated within the chosen scenario file [Step 1].
The Statistical Excel Guide located within our Assessment 1 folder is a useful reference guide which may
assist with this exercise.
Step 6: Produce a statistical report in conjunction with the template provided within our LearnJCU
Assessment 1 folder [Step 2]. Specific formatting instructions include:
? The report must be typed in Microsoft Word format. The word limit is 1000 words (excluding
tables, and figures) and you must strictly adhere to this word limit. The report must be typed in 12
point Time New Roman font, double spaced and 2.5 cm margins. Insert tables and graphical
displays of your data analysis in the text where appropriate. Use bullet points sparingly.
? You may include any additional (supporting) information in the appendices at the end of the
assessment item. Information in the appendices should only be included if it is referred to in the
body of the assignment. Word count within the appendix are not included.
? Please provide numbered headings and reference sources to any charts, tables, images etc used
within the statistical report. Provide a brief explanation highlighting the main points or
implications of these.
? Provide references in APA 7th format . Words within the Reference list will not contribute towards
word count, however all quotes and intext citations will count towards the word count. For help
on how to reference go to https://libguides.jcu.edu.au/apa
? Further details on report writing will be provided on LearnJCU. Guidance on the preparation of
the report also will be discussed by your lecturers during workshop/online sessions.
Step 7: You are to submit two files within learnjcu dropbox: (1) A Word Document which is the Statistical
Report and (2) The excel file used containing the data, the statistical techniques performed and charts
produced.
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ASSESSMENT ITEM 1: CRITERIA SHEET (marked out of 100 marks)
You will be assessed on your ability to:
1. Identify and explain relevant descriptive statistic concepts (25 marks)
2. Select and analyse relevant data using the appropriate statistical techniques within Excel (25
marks)
3. Synthesise information to determine meaning and provide recommendations to assist decision
making (20 marks)
4. Incorporate findings or advice from the literature into your argument (15 marks)
5. Communicate and present findings in a Statistical Report format (15 marks)
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ASSESSMENT ITEM 1: CRITERIA SHEET (OR RUBRIC)
Criterion Poor Good Excellent
1. Knowledge and
Understanding (SLO1, SLO2)
Limited identification of relevant concepts.
Limited understanding of required concepts.
Provides inaccurate explanations of aspects of
the topic.
Demonstrates little evidence of understanding of
descriptive statistics.
Identification of most key descriptive statistics.
Satisfactory understanding and application of key
concepts.
Analyses key aspects of the topic
Displays accuate understanding of descriptive
statistics.
Identification of all key descriptive statistics
Exhibits accurate and elaborated breadth and depth of
understanding of concepts.
Discriminating understanding and application of key concepts.
Analyses key concepts and emerging aspects of the topic, bringing
an originality of perspective.
Displays insight and a depth of understanding of descriptive
statistics.
2.Selection and analysis of
data (SLO3, CLO4, CLO8,
CLO9)
Demonstrates little or no competence in
selection and application of appropriate
statistical techniques and use of Excel to analyse
data.
Errors in data and variable selection to address
topic.
Inaccurately interpret information.
Very limited analysis of data provided
Able to interpret information to determine meaning.
Demonstrates some competence in selection and
application of appropriate statistical techniques and
use of Excel to analyse data.
Minimal error in data and variable selection to
address research question.
Able to interpret information to determine meaning.
Basic analysis and synthesis of data provided
Able to accurately interpret information to determine meaning.
Demonstrates competence in selection and application of correct
statistical techniques and use of Excel to analyse data. Correct
variables selected to address research question.
Able to accurately interpret information to determine meaning.
Highly discriminating and concinving analysis of data provided.
3.Synthesising (SLO3, CLO4,
CLO8)
Incomplete and/ or incorrect interpretation of
findings and comparison of data indicating a lack
of understanding of results. Discussion does not
include connections to underlying theory/key
concepts.
Significant improvements required in the use of
tables, graphs and figures correctly and
consistently in the discussion.
Does not draw basic conclusions and connection
between the results, research topic and
implications is not evident.
Limited analysis and synthesis of content
provided.
As a minimum, almost all of the findings and data
comparison have been correctly interpreted and
discussed, however, improvements are needed.
Some connections to theory / concept are made but
misses one or two important explanations.
Improvement required in the use of tables, graphs
and figures correctly and consistently in the
discussion.
Incomplete understanding of results is still evident
and basic conclusions are drawn.
Basic connection between results, research topic and
implications of the results are discussed.
Basic analysis and synthesis of content provided.
All findings and data comparisons have been interpreted correctly
and discussed; good understanding of results is conveyed. Clear
connections are made between results, theory/concepts and
research questions. Tables, graphs and figures are correctly and
consistently referred to in the discussion. All important conclusions,
to explain expected and unexpected results, have been clearly
made. Clear connection between results, research topic and
implications of the results are discussed.
Highly discriminating and concinving analysis and synthesis of
content.
4.Research Skills (CLO3,
CLO8)
Draws upon evidence that is irrelant, unreliable
and/or lacks currency
Agrument lacks support with insufficient
reference to the literature
Incorrect use of APA 7th referencing style
Draws upon relevant, current and reliable evidence
from a range of sources
The use of literature sufficiently supports the
argument and is well supported with reference to the
literature
APA 7th referencing used with few errors.
Draws upon relevant, reliable and current evidence from a wide
range of reputable sources
The argument presented is coherent and scholarly and well
supported with reference to a breadth of literature provided
Accurate APA 7th referencing used.
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Criterion Poor Good Excellent
5.Communication
Skills/Writing style &
Conventions (SLO3, CLO3,
CLO4, CLO8)
Has difficulty conveying meaning to audience due
to inapproapriate language and lack of
sequencing and explanatory techniques
Key structural elements of the report are not
present and/or presented with errors evident.
Report is not presented professionally, with
limited use of headings and figures/tables/graphs
lacking appropriate style and format with errors.
Introduction lacking basic elements.
Language used is not clear and /or does not
convey meaning to readers. It contains frequent
grammatical errors that interfere with conveying
meaning. Paragraphs are not well constructed
and disconnected, and/or follow poor
organisation.
Able to convey meaning to audience with clarity
using academic language and effective sequencing
and explanatory techniques
All required structural elements of the report are
present and completed to a satisfactory standard.
Resport is presented professionally, using some
informative headings and figures /tables/graphs
where appropriate in the correct style and format
with few errors. Introduction basic and incomplete.
Uses appropriate language, occasional lapses in
punctuation, grammar and sentence construction.
Conveys basic meaning with few spelling errors.
Paragraphs are generally well constructed with basic
transition between sections.
Able to convey meaning to audience with high level of clarity using
academic language and highly effective sequencing and explanatory
techniques
All required structural elements of the report are present and
completed to a high standard. The document is presented
professionally, using informative headings and figures/tables/graphs
where appropriate in the correct style and format. Introduction well
structured.
Uses appropriate language, correct punctuation, grammatically
correct and good sentence construction that conveys meaning to
readers with clarity and no spelling errors. Paragraphs are well
constructed and appropriate transition between sections.
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ASSESSMENT ITEM 2: WRITTEN - TEST/QUIZ 1
Aligned subject learning
outcomes
describe the practical relevance of data analysis for application in business
contexts;
identify and outline a range of data sources, types and analysis methods relevant
to business management;
apply appropriate methods, interpret results and recommend actions to make
insightful business decisions and solve business related problems.
Group or individual Individual assessment item
Weighting and due date 30%, due on 19/07/2024
Requirements for
successful completion of
this assessment item
Demonstrate a reasonable attempt on all assessment items. Students who have completed
less than 80% of assessment requirements will receive an ‘X’ grade (Fail).
Generative AI use
Generative AI tools cannot be used in this assessment task
In this assessment, you must not use Generative Artificial Intelligence (GenAI) for any
elements of the assessment task including the generation of any materials or content in
relation to the assessment item.
ASSESSMENT ITEM 2: DESCRIPTION
Assessment 2 is an Online Exam and is accessible on the LearnJCU subject site-assessment page on Friday
19th July 2024 in week 7. You can access the exam any time between 7:00 pm and 9:00 pm (Singapore
time) on this date, but as soon as you start your exam, you will have 1.5 hours to complete it. You have
one attempt at this exam; once you commenced the exam, you must complete it. It cannot be saved and
returned to later.
Our Online Exam will cover all work up to and including materials covered in Topics 4-6 within our
“Probability Theory” Unit [Figure 1]. You may need to use Excel and/or calculator to answer these
questions.
As these tests are completed online, you need access to reliable internet. If you do not have reliable
internet, then JCU facilities can be used (either using JCU computers or using your own computer
connected to the internet via JCU WiFi on campus). It is the responsibility of the student to ensure they
have reliable access to internet and technology to undertake these assessments by the due date.
No extensions will be granted for missed exams unless under exceptional circumstances where supporting
documentation has been provided (e.g. medical certificate).
Submission:
Be reminded that exams are timed, and from the time you start the exam, you will have 2-hou