USA: +1(669)289-8683 
Sign in
Data: Movie Title with Reviews and Sentiment tagging
Deployment:
1. Get User Sentiment from Recent Movie Review
2. Get User Motion using User Friendly Emoji Survery(Suvery select Emojis to refelect their current emotion) ( eg. for sad theme movie , to tag ‘Sad emotion’
3. Data Process on Emotion & Sentiment
4. Run on Model
5. Users are recommended with movies, based on their current emotion, sentiment and movie preferences.
ANL488 BUSINESS ANALYTICS APPLIED
PROJECT
Course Handbook
CONTENTS
1
2
3
4
5
6
7
8
INTRODUCTION
LEARNING OUTCOMES
THE BUSINESS ANALYTICS APPLIED PROJECT
REQUIREMENTS
ASSESSMENT CRITERIA
ACADEMIC HONESTY AND PLAGIARISM
PENALTIES
CONCLUSION
ANNEX
A
B
C
D
E
SAMPLE COVER PAGE FOR THE PROJECT PROPOSAL
SAMPLE COVER PAGE FOR THE PROJECT FINAL
REPORT
LETTER OF IDENTITY/INFORMATION AND DATA
REQUEST FORM
SAMPLE NON-DISCLOSURE AGREEMENT
ELECTRONIC CONFIDENTIALITY
UNDERTAKING DECLARATION BEFORE
SUBMISSION OF PROJECT PROPROSAL
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
2
1 INTRODUCTION
ANL488 Business Analytics Applied Project enables students to conceptualise
and conduct a business analytics project of relevance to what is practised in
industry. It allows the students to utilise the knowledge and skills in a project
environment and apply appropriate business analytics techniques for generating
useful insights for business decision-making.
The Business Analytics Applied Project involves the application and
implementation of one or more technique(s) in one or more areas such as data
visualization, data mining, text mining, forecasting and operations research that
are taught in the business analytics programme that forms the solution for one
or more business problems.
The Business Analytics Applied Project can also involve the development of new
technique(s) or algorithm(s) or investigations into existing technique(s) or
algorithm(s) in the abovementioned areas. In this case, students will have to
work very closely with their supervisors to craft out a suitable topic.
2 LEARNING OUTCOMES
The activities of a typical project include business problem conceptualisation and
identification, project proposal writing including literature review, data
understanding and preparation, modeling and evaluation (including
deployment), report writing, and presentation. Sound recommendations should
be provided arising from the modeling and evaluation.
The Learning Outcomes (LOs) of the Business Analytics Applied Project is
summarised as follows:
1. Appraise relevant references to the selected business analytics project topic to
form the Literature Review.
2. Evaluate the suitability of alternative business analytics methodologies for the
project proposal.
3. Critique the impact of the project proposed.
4. Formulate a viable business analytics project proposal under individual
supervision.
5. Apply appropriate business analytics techniques to the business analytics
problem,
including
conducting
business
understanding,
data
understanding, data preparation, modeling, evaluation and deployment.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
3
6. Discuss the business analytics problem.
7. Implement the project proposal.
8. Recommend courses of action through an appropriately written project
report.
9. Debate the effectiveness of the proposed business analytics solution.
10. Defend project results to peers and supervisors.
3
THE BUSINESS ANALYTICS APPLIED PROJECT
As a compulsory course in the Bachelor of Science Business Analytics
(BSBA) programme or the Bachelor of Science Business Analytics Major
(FTBSBA) the Business Analytics Applied Project is a 10 credit-unit that is to
be carried out in two semesters. However, students who make satisfactory
progress as assessed by their supervisors can complete the project in a single
semester.
Students are strongly advised to enroll for the Business Analytics Applied
Project as their last course of study for those taking BSBA and in their last year
of study for the FTBSBA students. This is because the Business Analytics
Applied Project will, in most cases, draw upon the material covered in the other
ANL courses taken in the BSBA or the FTBSBA programme. However, it is at
the discretion of the Course Co-ordinator of ANL488 Business Analytics
Applied Project, after consulting the Head of Programme (HOP), Business
Analytics and Dean, School of Business, to waive this requirement on a case-bycase basis.
Students are expected to work independently and have periodic discussions
with their supervisors. They should consult their supervisors as soon as the
allocation of students to supervisors has been completed. Students should
discuss their supervisors on at least six (6) occasions for guidance in the
student’s chosen project topic. This does not include the first common seminar
attended by all students taking ANL488 in the first week of the semester
where the objective is to disseminate information about the course. The
supervisor(s) will determine the time and mode of the discussions (whether
face-to-face, over the phone or through zoom) after discussing with the student.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
4
It is possible under certain circumstances that more than one supervisor is
allocated. However, there must only be one main supervisor who is responsible
for the marking of the Project Proposal, Project Oral Presentation and
Project Final Report.
4
REQUIREMENTS
(a)
Activities Before the First Seminar. While taking ANL courses, students
should start to identify suitable topics to work on preferably using data
from their current employers or work attachment companies (use Annex
C Letter of Identity/Information and Data Request Form if needed). At
the same time, they should also start identifying one or two faculty
member(s) or associate(s) who is (are) interested in working on their
topics. In Jun/Dec before the start of the semester in which ANL488 is
taken, students will be asked to attend a briefing to formally collect
information on the students’ preferences for topics/supervisors and area
of analytics. The allocation of supervisors will be made known to
students 2 to 3 weeks after the briefing. Students should start reading up
on their topic and start writing the literature review of their topic.
(b)
First Seminar. There is one common seminar for the course in the Week 0
of the semester. Relevant information about the course will be
disseminated. There will also be a question-and-answer session for
students to raise and clarify issues. There is no make-up session for the
seminar. Therefore, attendance is compulsory, you will need to provide
documentary proof for absence.
(c)
Project Proposal. The Project Proposal is to be submitted in Week 4. If the
student fails or did not submit the Project Proposal, the student will be
asked to withdraw from the course and repeat the course when it is
next offered again. Students will be advised to withdraw from the course
if he/she was found not to have put in sufficient effort in his/her Project
Proposal as assessed by his/her supervisor.
Students are strongly encouraged to have a dataset before embarking on
your Project Proposal (else they might be severely marked down) and
that the estimated word count for their Project Proposal should range
between 3000 to 5000 words (excluding references and appendices).
If there is an NDA, the student will only submit Chapters 1 & 2 to SUSS
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
5
Learning Management System and the complete Project Proposal to the
supervisor via email.
(d)
Project Oral Presentation. The Project Oral Presentation will be conducted
in Week 8. All students will be informed of the dates by the start of the
semester while the schedule and venue will be announced 1 to 2 weeks
before the day of the Project Oral Presentation.
During the Project Oral Presentation, you are required to present your
entire analysis including business and data mining objectives, literature
review, data exploration and preparation, modelling (not proposed but
actual), deployment of results and future work/limitations. Students will
be advised to withdraw from the course if he/she was found not to have
put in sufficient effort in his/her Project Oral Presentation as assessed by
his/her supervisor.
Each student will be given a 30 minutes’ slot of which 5-10 minutes will
be allotted to a question-and-answer session. During the question-andanswer session, suggestions may be given by the markers on
improvements to be made to the project. The student is expected to
incorporate the improvements into the Project Final Report. If the
student fails the Project Oral Presentation or fail to turn up for the
Project Oral Presentation, the project will be extended into the next
semester to attempt the Project Oral Presentation again.
(e)
Project Final Report. The Project Final Report is to be submitted by Week
13. Failure to submit by the deadline will be automatically extended to
the next semester. For example, if the student fails to submit the Project
Final Report in the July semester, the student will be automatically
extended to the January semester. Students will be advised to withdraw
from the course if he/she was found not to have put in sufficient effort in
his/her Project Final Report as assessed by his/her supervisor. Adequate
progress needs to be made from Project Proposal to Project Oral
Presentation to Project Final Report, not doing so will also warrant a
withdrawal/failure.
The softcopy of the Project Final Report is to be submitted to SUSS
Learning Management System. All items belonging to the following
folders that are used in your Applied Project are to be zipped into 1 zip
file and submitted by the same deadline as the Project Final Report via
Canvas CD Content Submission:
6
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
i. Data and Modeler Streams: If your project has computer programs,
keep the source codes here too. If you do not have permission to
include your data, put an explanatory note here.
ii. Papers cited in Literature Review (in PDF format)
iii. Project Oral Presentation Slides (in PDF format)
iv. Miscellaneous: To keep scanned copy of your NDA (if applicable) and
any other documents (for example, python code) for archival purposes.
WEEK
ACTIVITY
Prior to
WEEK 1
ANL488 Briefing
Select topic/source for data/contact
likely supervisor/prepare for project.
Allocation of topic/supervisor.
0
ASSESSMENT WEIGHT
Seminar including question-andanswer
IMPORTANT: Attendance is
compulsory. You will need to
provide documentary proof for
absence.
1-3
4
5-7
8
9-12
Work on Project Proposal
Submission of Project Proposal
(OCAS).
Submission of NDA to Course Coordinator/ supervisor/Mechelle.
Work on Project
Project Oral Presentation (OES)
Compulsory for students to submit
the Project Proposal (20%).
Compulsory for students to
participate in Project Oral
Presentation (20%).
Revise project based on feedback from
Project Oral Presentation. Work on
Project Final Report.
IMPORTANT: Only one- time
submission is allowed for Project
Final Report. No appeal for re-
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
7
submission will be considered.
13
Submission of Project Final Report
(OES)
Compulsory for students to submit
the Project Final Report (60%)
(f)
Fees. All relevant tuition and applicable fees have to be paid.
(g)
SUSS Learning Management System The completed Project Final Report will
have to be submitted officially through SUSS Learning Management System.
Students are not allowed to submit their Final Project Report directly to their
supervisors as they have to use SUSS Learning Management System except
for cases where there is an NDA. In that case, submit only Chapters 1 & 2 to
SUSS Learning Management System and the complete Final Project Report to
the supervisor.
(h)
Late Submission. No late submission for Project Proposal and Project Final
Report will be entertained unless approval has been given by the Head of
Programme (Business Analytics) and Dean, School of Business.
(i)
Student’s Role. Students are themselves responsible for the final outcome of
their own projects. All citations, references and fieldwork as well as the project
are the sole responsibility of the student. It is the student’s responsibility to
ensure that all copyrights are properly observed and where necessary,
appropriate permissions are granted. This includes seeking permission from any
authorised person(s) or organisation for the use of data. Please note that
students will need to make an electronic declaration of the Confidentiality
Undertaking that they have obtained the permission for the use of data in their
project before they are allowed to submit the Project Proposal in Canvas. The
wording of the declaration is found in Annex E. Please see Annex D for a sample
Non-Disclosure Agreement (NDA) that can be used for the organisation that is
releasing the data. This NDA must be submitted to the supervisor and Mechelle
Sebastian(mechelle@suss.edu.sg) by Week 4 of the semester. The student must
not, in the course of the project, bring the university or its officers, into illrepute under any circumstances. Students must understand that the rigours of
academic discipline require adherence to deadlines.
(j)
Supervisors Role. The role of the supervisor is to provide academic guidance
and direction. The supervisor’s role is not to enforce English or grammar
standards. The supervisor can extend advice to the student but it is up to the
student to accept such advice. The students should consider the supervisor’s
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
8
advice seriously.
(k)
Business Analytics Applied Project Final Report. The formal requirements of
the Business Analytics Applied Project Final Report are:
(i)
be no more than 10,000 words (estimated to be 40 pages at 250 words per
page).
(ii)
be double-spaced.
(iii) use Times New Roman font at 12 cpi.
(iv) include all references and sources.
(v) have the total number of words written in (brackets) at the bottom of the
last paragraph of the last chapter, but before the References.
(vi) have the paragraphs justified.
(vii) number each page.
(viii) use American Psychological Association (APA) referencing style (refer to
Study Unit 1 in ANL311 Selected Topics in Business Analytics Study
Guide) or Study Unit 1 in ANL312 Text Mining and Applied Project
Formulation Study Guide)
(ix) number each table and figure.
Anything that goes beyond the maximum word limit will not be graded.
(l)
Images, Tables, Charts, Maps, And Graphs. These are not included in the
word-count. However, students should not “cut-and-paste” from the
Internet/AI tools or any other sources without proper acknowledgement and
referencing. Proper permissions and citations are required when citing or
quoting original material, copyrighted images, tables, charts, maps, graphs,
and all other forms of data.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
9
5 ASSESSMENT CRITERIA
(a)
The assessment is divided into three components:
Component
Project
Proposal
Weightage
20%
Assessor
Supervisor
Assessment Criteria
The 4 assessment criteria are clear
description of the business/research
problem including project title, clear
description of data to be used and
literature review (see 5(d) for details),
proposed methodology & its
appropriateness and overall
presentation.
Project Oral
Presentation
20%
Supervisor
and
examiner
The 3 assessment criteria are
preparation, actual delivery and
effectiveness.
Preparation includes
(i) quality and organization of the
slides,
(ii) the amount of information
contained in each slide (eg
explanation and discussion rather
than mere “cut-and- paste”
output), and
(iii) the effort put into appearing as
professional as possible.
Quality of actual delivery depends on
(i) the confidence and flow of the
delivery (including eye contact,
posture and vocalization),
(ii) the student’s ability to provide a
good understanding of the problem
within the time limit (so exceeding
the time limit by too much should
incur a penalty),
(iii) the student’s ability to understand,
interpret and respond to queries.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
10
Project
Final Report
60%
Supervisor
and
examiner
The 7 assessment criteria:
(i) Literature Review,
(ii) Data Understanding & Preparation
(iii) Methodology (for e.g., modelling)
(iv) Results/Evaluation (Discussion)
(v) Recommendations (for
deployment)/Conclusions
(vi) Presentation
(vii)Progress (By supervisor only)
(b)
To gain at least a PASS (or credit) students have to:
(i)
Achieve at least 40% for the Project Proposal [OCAS]
(ii)
Achieve at least 40% for Project Oral Presentation (attended in
person) and Project Final Report [OES]
(c)
All marks contribute to a single final rank score, from which a Letter
Grade will be awarded as the Course Result.
(d)
Literature Review Without a proper literature survey that covers an
appropriate selection of RELEVANT articles, a report (whether it refers to
the Project Proposal or Project Final Report) would not make the grade.
A good report would be able to clarify if any contribution has been made
that exceeds the prevailing state of research in the chosen area. Since it is
not a graduate thesis, a report does not need to contain path-breaking
research. However, a good report should be clear about what is achieved
rather than leave it up to the readers to discover the literature themselves.
So, the Project Proposal and Project Final Report should, in all cases,
specify clearly where else (i.e. in which other published articles) similar
application of analytics has already been done. Explain modeling details
and results if appropriate, so that the project could benefit from what is
done. Otherwise, the Project Proposal and Project Final Report would
be fundamentally incomplete and could only get a poor passing grade at
best.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
11
6 COMMUNICATION WITH SUSS
(a).
All students must use their SUSS email service to communicate with their
supervisors and staff of the University.
(b).
The University and supervisor(s) will communicate with their respective
students via Canvas, without providing students with a paper copy. Any
changes to the Course, its outline and project submission deadlines will be
posted on Canvas. It is the student’s responsibility to be aware of the
information. Students should take note of all announcements made in
Canvas, emails and in the first seminar. Students are expected to spend
around 15 hours per week on this course.
6 ACADEMIC HONESTY AND PLAGIARISM
(a)
University Plagiarism Statement Students are expected to observe the
University’s rules and regulations concerning student conduct, especially
in areas such as academic integrity, honesty and plagiarism. The details
are found in the relevant sections of the Student Handbook.
(b)
Academic Misconduct The following are some examples of academic
misconduct practices that are prohibited:
Falsification of results from the data mining software used.
Ghost-writing, where a second or third party authors the project or
undertakes, in whole or in part, that is presented as the student’s own.
Recycling work which has been previously done as part of studies in
another course and presenting it for assessment again as if it was done
solely for the particular course of study currently being taken, without the
permission of the supervisor(s).
Making contact with another person during the Project Oral Presentation
contrary to instructions.
Using data for the project without formal permission from the owners.
Plagiarism refers to the practice of using of another person’s intellectual
output and presenting it as one’s own without appropriate
acknowledgment. Examples include word-for-word copying of
sentences/paragraphs without acknowledgement or with insufficient or
improper acknowledgment.
Downloading essays from the web and presenting those for
assessment/examination.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
12
Copying out parts of any text or using images without acknowledging the
sources.
7 PENALTIES FOR PLAGIARISM
Students have a responsibility to uphold the highest standards of academic
integrity in the University. All work submitted must demonstrate their own
effort, understanding and knowledge of the content. Acts of academic
dishonesty, including plagiarism, cheating and ghost-writing, violate academic
integrity and undermine the learning experience. The University takes a serious
view of such misconduct.
More details are found in the relevant sections of the Student Handbook.
8 CONCLUSION
This Course Handbook is designed as a student aid for the Business Analytics
Applied Project. Students should read this Handbook together with any
prescribed text(s) and all other information and reading materials disseminated
throughout the semester. Students are advised to refer to it whenever necessary
and pay attention to SUSS Learning Management System for updates. If there are
any queries on any part of this Course Handbook, they should be directed to the
Course Co-ordinator of ANL488 Business Analytics Applied Project.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
13
ANNEX A
SAMPLE COVER PAGE FOR THE PROJECT PROPOSAL
ANL 488 PROJECT PROPOSAL
PROJECT TITLE
Submitted by
STUDENT’S NAME
SCHOOL OF BUSINESS
Singapore University of Social Sciences
Presented to Singapore University of Social Sciences
in partial fulfillment of the requirements for the
Degree of Bachelor of Science
in Business Analytics
2024
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
14
TABLE OF CONTENTS (Sample)
Chapter One
Introduction
1
Chapter Two
Literature Review
5
Chapter Three
Data Understanding and Preparation
10
Chapter Four
Proposed Modelling and Evaluation
15
Chapter Five
Proposed Schedule
38
References
41
** note that the Title Page (i) will have no Page Number and is only numbered
in the Contents page
——————————————————————EXPLANATION OF TERMS IN ANNEX A
Project Title: This refers to the title of the Project Proposal. While there is no
limit to the length of the Project title, it is not common for the entire title to be
more than a single sentence of 50 words (maximum).
Introduction: One must be able to adequately describe the business problem
at hand as well as translate that into clear business analytics problem. In cases
where the content of this chapter is not substantive, one could combine both
Introduction and Literature Review into a single chapter so that the Literature
Review could serve as the starting point of the project.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
15
Literature Review: A proper literature survey covers an appropriate selection
of relevant references that could be in the form of journal articles or books.
The Literature Review should also adequately summarise each of these
references and there should be a minimum of three of these references in
the Project Proposal. Such summaries could include details of the analysis
done so that a comparison could be made with the results obtained.
References: Students are to use the following guidelines for their references
(APA style):
Book:
Vercellis C. (2009). Business Intelligence. Chichester: Wiley.
Journal Article:
Winkler, R. & Makridakis, S. (1983). The combination of forecasts. Journal of the
Royal Statistical Society, A, 145: 150-157.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
16
ANNEX B
SAMPLE COVER PAGE FOR THE FINAL REPORT
ANL488 FINAL PROJECT REPORT
PROJECT TITLE
Submitted by
STUDENT’S NAME
SCHOOL OF BUSINESS
Singapore University of
Social Sciences
Presented to Singapore University of Social Sciences
in partial fulfillment of the requirements for the
Degree of Bachelor of Science
in Business Analytics
2024
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
17
ABSTRACT (Sample)
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
18
TABLE OF CONTENTS (Sample)
Abstract
i
Chapter One
Introduction
1
Chapter Two
Literature Review
5
Chapter Three
Data Understanding and Preparation
10
Chapter Four
Modelling and Evaluation/Discussion
15
Chapter Five
Recommendations/Conclusion
38
References
41
** note that the Title Page (i) will have no Page Number and is only numbered
in the Contents page
——————————————————————-
EXPLANATION OF TERMS IN ANNEX B
Abstract: This is a short summary of your Project Proposal. While there is no
limit to the length, it to be more than a single page (maximum). The short
summary should include key points of the entire report, including the
modeling details, whether the modeling has been successful, and if so, what
the key result(s) is.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
19
ANNEX C
LETTER OF IDENTITY/INFORMATION
AND DATA REQUEST FORM
School of Business
Date :
Ref
: SBIZ/ANL488 MMYY-SN (e.g., SBIZ/ANL488 0510-08)
Dear Sir/Madam
This is to confirm that the following person is a student of the School of
Business,
Singapore University of Social Sciences, undertaking a project on ” . . . . . . . . . . . . . .
. . . . . . . . . . . . . .”.
Name of Student
NRIC No.
………………
…………
The faculty member supervising this project is . . . . . . . . . . . . . . . . . .
This project is part of the final year curriculum leading to the degree of Bachelor
of Science in Business Analytics. In order to carry out their project, certain kinds
of information are required from your organisation, as indicated in the attached
request from the students. Any assistance which your organisation may render
the students will be greatly appreciated.
Yours sincerely
Head of Programme,
Business Analytics
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
20
ANNEX D
SAMPLE NON-DISCLOSURE AGREEMENT
(To print on Discloser’s letterhead)
Non Disclosure Agreement
This Agreement is entered into on [] by and between
(hereinafter “Recipient”) and Company’s Name (Company Registration No. ),
of [Company Address] (hereinafter “Discloser”).
WHEREAS Recipient is a student of the Business Analytics Programme with
Singapore University of Social Sciences and is required to undertake a student
project known as [] (hereinafter “Student Project”);
WHEREAS Discloser possesses certain confidential and/or proprietary data,
material and information (hereinafter “Confidential Information”) that is
relevant to the Recipient’s Student Project; and
WHEREAS the Discloser is willing to disclose and Recipient is willing to receive
the Confidential Information pursuant to the terms of this Agreement for the
purpose of the Student Project;
NOW THEREFORE, in consideration for the mutual undertakings of the
Discloser and the Recipient under this Agreement, the parties agree as follows:
(a)
Disclosure. Discloser agrees to disclose to Receiver the Confidential
Information solely for purposes of the Student Project. Receiver agrees
and undertakes that the Confidential Information shall only be used,
reproduced, transmitted or distributed solely for purposes of the
Student Project and for no other purpose.
(b) Confidentiality.
No Unauthorised Use. Recipient agrees not to use, reproduce, transmit
or distribute the Confidential Information in any way, or to
manufacture or test any product embodying Confidential Information,
except for the purpose set forth above.
No Disclosure. Recipient agrees to use its best efforts to prevent and
protect the Confidential Information, or any part thereof, from
disclosure to any person other than person(s) having a need for
disclosure in connection with Recipient’s Student Project.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
21
Protection of Secrecy. Recipient agrees to take all steps reasonably
necessary to protect the secrecy of the Confidential Information, and to
prevent the Confidential Information from falling into the public domain or
into the possession of unauthorized persons.
(c) Limits on Confidential Information. The obligations of confidentiality under
clause 2 shall not apply to information that:
Was known to Recipient prior to receiving any of the Confidential
Information from Discloser;
Has become publicly known, after disclosure by Discloser, through no
wrongful act of Recipient;
Was received by Recipient from a third party who is not subject to any
restriction as to the use and disclosure of the information; or
Was independently developed by Recipient without use of the Confidential
Information.
(d) Ownership of Confidential Information. Recipient agrees that all Confidential
Information shall remain the property of Discloser. Nothing contained herein
shall be construed as granting or implying any transfer of rights to Recipient
in the Confidential Information, or any patents or other intellectual property
protecting or relating to the Confidential Information.
(e) Term and Termination. The obligations of this Agreement shall be continuing
subject to the provisions of clause 3.
(f) Survival of Rights and Obligations. This Agreement shall be binding upon,
inure to the benefit of, and be enforceable by (a) Discloser, its successors, and
assigns; and (b) Recipient, its successors and assigns.
IN WITNESS WHEREOF, the parties have executed this agreement effective as of the
date first written above.
Name and Signature of Recipient
Name and Signature of Discloser Designation
Company Stamp
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
22
ANNEX E
ELECTRONIC CONFIDENTIALITY UNDERTAKING
DECLARATION BEFORE SUBMISSION OF
PROJECT PROPOSAL
CONFIDENTIALITY UNDERTAKING
1.
Definition
For the purposes of this Undertaking, the following definitions apply:
‘Placement’ means a clinical or work placement, fieldwork, internship, practicum, study
mission, applied project or other professional placement that is undertaken as part of your
course requirements with the University.
‘Agency’ means a hospital, company, community centre or other institution, organization
or entity including one within the University at which you will be undertaking the
Placement.
‘Confidential information’ means (a) any and all personal information (including medical
condition, history and course of treatment), other information or opinion about an
individual that would identify such individual or the Agency or whose identity is apparent
or can be reasonably ascertained from the information or opinion whether true or not; and
(b) any information that is by its very nature is confidential or which the Agency specifies
as confidential; and (c) any information not in the public domain that allows an individual
or the Agency to be identified; and (d) any information not in the public domain that
belongs to the University. Confidential information is not limited to written or electronic
records or information conveyed verbally. It can appear in any form and be recorded on
any medium. It may include such things as photographs, video recordings, x-rays or
finger prints.
‘Placement Coordinator’ means the University staff member nominated to coordinate your
Placement activities.
2.
Background
The protection of confidential information and personal data is a serious issue which you
need to be aware when undertaking a Placement. Failure to do so can have serious legal
ramifications. Your obligation of confidentiality continues to apply even after the
Placement has been completed. Confidential information obtained by you whilst on
Placement shall not be divulged at any time without the prior written consent of the owner
of such Confidential Information.
Students are required to abide by the procedures for ensuring security of Confidential
Information of the Agency at which the Placement is being undertaken. You shall also
observe and adhere to all prevailing applicable laws, rules, regulations and codes
pertaining to medical confidentiality and ethics and personal data protection.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
23
3.
Purpose
This Undertaking has been developed as a means by which the University may ensure that
you understand your responsibilities. If you do not understand any part of this document
or if you have uncertainties about its interpretation or application during the Placement,
you should discuss the matter with your Placement Coordinator. Please read the
Confidentiality Undertakings carefully.
CONFIDENTIALITY UNDERTAKING
I hereby confirm that I :
1.
2.
3.
4.
5.
6.
7.
8.
comply with the rules, regulations, procedures and policies of the Agency relating to
confidentiality.
treat the Confidential Information as secret and confidential and not disclose it to any
person without the prior written permission of the Agency. This includes not disclosing
Confidential Information through use of any social media sites.
only use the Confidential Information for the purpose of my Placement and not for any
other purpose unless advised by my Placement Coordinator that ethics approval has been
obtained for specified uses.
not remove original files, test booklets, forms or other confidential documents from the
Agency without the prior written permission of the Agency and to delete all Confidential
Information from all of my records before leaving the Placement, including from my
informal notes, transcripts of sessions, videos, audio recordings and any other material in
any form recorded on any medium or other electronic storage sites, including smart phones
or MP3s.
not copy, memorise or reproduce any of the Confidential Information other than for the
purpose of the Placement. I shall first obtain the written consent of the Agency before
making copies of the Confidential Information for the purpose of the Placement.
remove all Confidential Information before transmitting information via electronic means
such as facsimile, internet and email transmissions. I understand that Confidential
Information may only be transmitted after obtaining prior written permission from the
Agency.
obtain prior written permission from my Placement Coordinator to forward documents
containing Confidential Information only via registered mail.
indemnify University from and against all claims, damages, judgments, losses and costs of
any nature (including legal costs) which University may suffer or incur in respect of a
breach by me of my confidentiality obligations herein.
I acknowledge that:
(a)
my obligations in this Undertaking shall continue to have full force and effect after I have
completed my Placement and even when I am no longer an enrolled student of the
University.
(b)
I understand that there can be no adequate remedy at law for any breach of my obligations
of confidentiality herein, which breach may result in irreparable harm to the Agency and/or
the University, and therefore, upon any such breach or any threatened breach, the Agency
and/or the University shall be entitled to appropriate equitable relief as may be necessary to
restrain any continuing or further breach by me, without showing or proving any actual
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
24
damages sustained by the Agency and/or the University, in addition to whatever remedies
it might have at law. I may also be subject to disciplinary action by the University.
ANL488 BUSINESS ANALYTICS APPLIED PROJECT COURSE HANDBOOK
Version dated April 2024
25
