Case Study Report

ISY503_Assessment_1_Brief_Case Study_Module 5Page 1 of 6
ASSESSMENT 1 BRIEF
Subject Code and Title ISY503 Intelligent Systems
Assessment Case Study Report
Individual/Group Individual
Length 1500 words (+/- 10%)
Learning Outcomes The Subject Learning Outcomes demonstrated by successful
completion of the task below include:
a) Determine suitable approaches towards the construction of
AI systems.
b) Determine ethical challenges which are distinctive to AI and
issues that may arise with such rapidly developing
technologies.
d) Communicate clearly and effectively using the technical
language of the field and constructively engage with
different stakeholders.
Submission Due by 11:55pm AEST Sunday end of Module 5 (Week 5).
Weighting 25%
Total Marks 100 marks
Task Summary
You are to write a report based on a case study that focusses on the application of an intelligent
system. Intelligent systems can encompass many AI centred systems but the main focus of this
assessment is Computer Vision and Natural Language Processing (NLP).
Computer vision, as a field, is progressing at a rapid rate helped in part by advances in deep learning.
There are many challenges in computer vision including; dual priorities, speed for real-time detection,
limited data, class imbalance, and ethics. There are many Computer Vision problems including object
detection, gesture recognition, hand sign detection, satellite image classification, to name just a few.
NLP has given us the ability to talk to a machine (voice as input), such as the AI-based systems like
Alexa or Siri, and be understood. Alas there is still a long way to go before we have systems that exhibit
a real understanding of natural language (Natural Language Understanding/NLU), as ultimately
computers need to be able to determine polarization and sentiment analysis, emotion analysis, topic
detection and classification.
For this assessment you will be provided with a choice between a computer vision case study, and a
natural language processing case study. Select one case study only. Your facilitator will give you the
case studies during Module 1 (Week 1).
The report should be 1500 words (+/- 10%) and is an individual piece of work.
ISY503_Assessment_1_Brief_Case Study_Module 5Page 2 of 6
Context
Exploring various applications of intelligent systems will give you a greater understanding of the use
and efficacy of these systems, to solve simple through to complex problems. Learning to analyse the
suitability of different AI methods, the ethical issues associated with them, and the technical language
used in the industry is essential to ensure you are able to articulate the challenges around
implementation of the intelligent system being discussed. Using case studies that focus on intelligent
systems will bolster your analytical skills, helping you to think through the how, why, when and where
of implementing such a system. By completing this assessment you will to appreciate the real-life
application of intelligent systems, and begin to identify opportunities to utilise these systems across a
breadth of problems.
Task Instructions
To complete this assessment task you must write a case study report with the following sections:
 Introduction: This section should introduce the case study you have been given, and
highlight the significance of the problem it seeks to address.
 Background: This section should provide sufficient background information on, and explain
the application of, the intelligent system including machine learning models and methods.
 Method: Elaborate here on the method(s) used and explain how the research was
undertaken. You should include the source of data used in the case study, and identify any
ethical issues that may have arisen upon its use (e.g., medical history of patients).
 Results: What was the outcome of the case study?
 Discussion: In this section you should explain the relevant and significance of your chosen
study, and you should identify obstacles restricting the intelligent system. You should also
mention any constraints reported in the article.
 Recommendations: This section should include critical perspectives and recommendations
to improve or enhance the system.
 References: You should support your report with additional peer-reviewed journal articles.
These should be in appropriate APA style.
Referencing
It is essential that you use appropriate APA style for citing and referencing research. Please see more
information on referencing here http://library.laureate.net.au/research_skills/referencing
Submission Instructions
Submit your 1500 word case study report task via the Assessment 1 link in the main navigation
menu in ISY503: Intelligent Systems. Please ensure your student ID and assessment number are
contained in the file name, e.g., 904581t_ISY503_Assessment 1. The Learning Facilitator will provide
feedback via the Grade Centre in the LMS portal. Feedback can be viewed in My Grades.
ISY503_Assessment_1_Brief_Case Study_Module 5Page 3 of 6
Academic Integrity Declaration
I declare that except where I have referenced, the work I am submitting for this assessment task is
my own work. I have read and am aware of Torrens University Australia Academic Integrity Policy
and Procedure viewable online at http://www.torrens.edu.au/policies-and-forms
I am aware that I need to keep a copy of all submitted material and their drafts, and I will do so
accordingly.
ISY503_Assessment_1_Brief_Case Study Report_Module 5 Page 4 of 6
Assessment Rubric
Assessment
Attributes
Fail
(Yet to achieve
minimum standard)
0-49%
Pass
(Functional)
50-64%
Credit
(Proficient)
65-74%
Distinction
(Advanced)
75-84%
High Distinction
(Exceptional)
85-100%
Evaluation of
information selected to
support the case study
Percentage for this
criterion = 40%
Limited understanding of
key concepts required to
support the case study.
Confuses logic and
emotion. Information
taken from reliable
sources but without a
coherent analysis or
synthesis.
Viewpoints of experts are
taken as fact with little
questioning.
The implementation of
the system has not been
understood.
Resembles a recall or
summary of key ideas.
Often conflates/confuses
assertion of personal opinion
with information
substantiated by evidence
from the research/course
materials.
Analysis and evaluation do
not reflect expert judgement,
intellectual independence,
rigor and adaptability.
Implementation of the
system has been understood
but not in details for reimplementation.
Supports personal opinion
and information
substantiated by evidence
from the research/course
materials.
Demonstrates a capacity to
explain and apply relevant
concepts.
Identifies logical flaws.
Questions viewpoints of
experts.
Implementation of the
system has been
understood but not in
details for reimplementation.
Discriminates between
assertion of personal
opinion and information
substantiated by robust
evidence from the
research/course materials
and extended reading.
Well demonstrated capacity
to explain and apply
relevant concepts.
Viewpoint of experts are
subject to questioning.
Analysis and evaluation
reflect growing judgement,
intellectual independence,
rigor and adaptability.
Implementation of the
system has been
understood but reimplementing
the system
needs more details in no
more than two parts.
Systematically and critically
discriminates between
assertion of personal
opinion and information
substantiated by robust
evidence from the
research/course materials
and extended reading.
Information is taken from
sources with a high level of
interpretation/evaluation
to develop a
comprehensive critical
analysis or synthesis.
Identifies gaps in
knowledge.
Exhibits intellectual
independence, rigor, good
judgement and
adaptability.
Fully understands how to
re-implement the system
again and also in an
optimised way.
ISY503_Assessment_1_Brief_Case Study Report_Module 5 Page 5 of 6
Assessment
Attributes
Fail
(Yet to achieve
minimum standard)
0-49%
Pass
(Functional)
50-64%
Credit
(Proficient)
65-74%
Distinction
(Advanced)
75-84%
High Distinction
(Exceptional)
85-100%
Ethical Considerations
Ethical issues have been
identified and
considered in the
context of AI and its
rapid development
Percentage for this
criterion = 20%
Data source and ethical
matters associated with it
is not addressed.
Data source and ethical
matter associated with it is
identified but not discussed.
Data sources used in
implementation and ethical
matters associated with it
have been identified and
discussed at a shallow level.
Data sources used in the
case study implementation
and ethical matters
associated with it have
been comprehensively
identified and discussed.
Data sources used in the
case study implementation
and ethical matters
associated with it have
been comprehensively
identified and discussed.
Alternative suggestions
have been made in light of
the issues identified.
Effective
Communication
(Written)
Percentage for this
criterion = 25%
Presents information.
Specialised language and
terminology is rarely or
inaccurately employed.
Meaning is repeatedly
obscured by errors in the
communication of ideas,
including errors in
structure, sequence,
spelling, grammar,
punctuation and/or the
Communicates in a readable
manner that largely adheres
to the given format.
Generally employs specialised
language and terminology
with accuracy.
Meaning is sometimes
difficult to follow.
Information, arguments and
evidence are structured and
sequenced in a way that is
not always clear and logical.
Communicates in a
coherent and readable
manner that adheres to the
given format.
Accurately employs
specialised language and
terminology.
Meaning is easy to follow.
Information, arguments and
evidence are structured and
sequenced in a way that is
clear and logical.
Communicates coherently
and concisely in a manner
that adheres to the given
format.
Accurately employs a wide
range of specialised
language and terminology.
Engages audience interest.
Information, arguments and
evidence are structured and
sequenced in a way that is,
clear and persuasive.
Communicates eloquently.
Expresses meaning
coherently, concisely and
creatively within the given
format.
Discerningly selects and
precisely employs a wide
range of specialised
language and terminology.
Engages and sustains
audience’s interest.
Information, arguments
and evidence are insightful,
persuasive and expertly
presented.
ISY503_Assessment_1_Brief_Case Study Report_Module 5 Page 6 of 6
Assessment
Attributes
Fail
(Yet to achieve
minimum standard)
0-49%
Pass
(Functional)
50-64%
Credit
(Proficient)
65-74%
Distinction
(Advanced)
75-84%
High Distinction
(Exceptional)
85-100%
acknowledgment of
sources.
Some errors are evident in
spelling, grammar and/or
punctuation.
Occasional minor errors
present in spelling,
grammar and/or
punctuation.
Spelling, grammar and
punctuation are free from
errors.
Spelling, grammar and
punctuation are free from
errors.
Correct citation of key
resources and evidence
Percentage for this
criterion = 15%
Demonstrates
inconsistent use of good
quality, credible and
relevant resources to
support and develop
ideas.
Referencing is omitted or
does not resemble APA.
Demonstrates use of credible
and relevant resources to
support and develop ideas,
but these are not always
explicit or well developed.
Referencing resembles APA,
with frequent or repeated
errors.
Demonstrates use of
credible resources to
support and develop ideas.
Referencing resembles APA,
with occasional errors.
Demonstrates use of good
quality, credible and
relevant resources to
support and develop
arguments and statements.
Show evidence of wide
scope within the
organisation for sourcing
evidence.
APA referencing is free
from errors.
Demonstrates use of highquality,
credible and
relevant resources to
support and develop
arguments and position
statements.
Show evidence of wide
scope within and without
the organisation for
sourcing evidence.
APA referencing is free
from errors.
The following Subject Learning Outcomes are addressed in this assessment
SLO a) Determine suitable approaches towards the construction of AI
SLO b) Determine ethical challenges which are distinctive to AI and issues that may arise with such rapidly developing technologies.
SLO d) Communicate clearly and effectively using the technical language of the field and constructively engage with different stakeholders.


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