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ICT724 INTELLIGENT SYSTEMS T321

All information in the Subject Outline is correct at the time of approval. KOI reserves the right to make changes to the Subject Outline if they become necessary. Any changes require the approval of the KOI Academic Board and will be formally advised to those students who may be affected by email and via Moodle.

Information contained within this Subject Outline applies to students enrolled in the trimester as indicated

 

1.   General Information

1.1   Administrative Details

 

Associated HE Award(s)	Duration	Level	Subject Coordinator
Master of Information Technology (MIT)   Graduate Diploma of Information Technology (GDIT)	1 trimester	Postgraduate	Dr Saeid Iranmanish [email protected] P: +61 (2) 9283 3583 L: Level 1-2, 17 O’Connell St. Consultation: via Moodle or by appointment.

 

• Core/Elective

 

This subject is

• an elective subject for the Master of Information Technology (MIT)
• an elective subject for the Graduate Diploma of Information Technology (GDIT)

1.3   Subject Weighting

Indicated below is the weighting of this subject and the total course points

 

Subject Credit Points	Total Course Credit Points
4	MIT    (64 Credit Points);    GDIT (32 Credit Points)

 

1.4   Student Workload

Indicated below is the expected student workload per week for this subject

 

No. Timetabled Hours/Week*	No. Personal Study Hours/Week**	Total Workload Hours/Week***
3 hours/week plus supplementary online material	7 hours/week	10 hours/week

*        Total time spent per week at lectures and tutorials

**       Total time students are expected to spend per week in studying, completing assignments, etc.

***      Combination of timetable hours and personal study

 

• Mode of Delivery Online (face-to-face teaching temporarily suspended due to COVID-19)

 

1.6   Pre-requisites         Nil

 

• General Study and Resource Requirements

• Students are expected to attend classes with the weekly worksheets and subject support material provided in Students should read this material before coming to class to improve their ability to participate in the weekly activities.
• Students will require access to the internet and their KOI email and should have basic skills in word processing software such as MS Word, spreadsheet software such as MS Excel and visual presentation software such as MS PowerPoint.

• Computers and WIFI facilities are extensively available for student use throughout Students are encouraged to make use of the campus Library for reference materials.

ICT724 INTELLIGENT SYSTEMS T321 26/10/2021 12:24                                                                                                                   PAGE 1 OF 15

*AUSTRALIAN INSTITUTE OF BUSINESS AND MANAGEMENT PTY LTD ©       ABN: 72 132 629 979                                                  CRICOS 03171A

Approved T321

 

Software resource requirements specific to this subject: Office 365, MS Imagine, Anaconda navigator, Jupyter Notebook 5.5.0, Python 3, Tableau.

 

2.   Academic Details

2.1  Overview of the Subject

 

Intelligent systems are a computer-based approach to decision making using artificial intelligence. These systems learn from, and adapt to, a changing and unknown environment to respond to a wide range of real world problems. They are in use all around us from traffic lights to high-end medical technology. This subject will enable students to apply machine learning, fuzzy logic, search, expert systems, neural networks, and peripheral techniques to develop intelligent systems. Students will be required to work on a business case study to apply these techniques to a real world problem and make a convincing argument to executive management when promoting data-driven changes.

 

2.2  Graduate Attributes for Postgraduate Courses

 

Graduates of postgraduate courses from King’s Own Institute will achieve the graduate attributes expected from successful completion of a postgraduate degree under the Australian Qualifications Framework (2nd edition, January 2013). Graduates at this level will be able to apply advanced body of knowledge from their major area of study in a range of contexts for professional practice or scholarship and as a pathway for further learning.

 

King’s Own Institute’s generic graduate attributes for a master’s level degree are summarised below:

 

 

	KOI Postgraduate Degree Graduate Attributes	Detailed Description
	Knowledge	Current, comprehensive and coherent knowledge, including recent developments and applied research methods
	Critical Thinking	Critical thinking skills to identify and analyse current theories and developments and emerging trends in professional practice
	Communication	Communication and technical skills to analyse and theorise, contribute to professional practice or scholarship, and present ideas to a variety of audiences
	Research and Information Literacy	Cognitive and technical skills to access and evaluate information resources, justify research approaches and interpret theoretical propositions
	Creative Problem Solving Skills	Cognitive, technical and creative skills to investigate, analyse and synthesise complex information, concepts and theories, solve complex problems and apply established theories to situations in professional practice
	Ethical and Cultural Sensitivity	Appreciation and accountability for ethical principles, cultural sensitivity and social responsibility, both personally and professionally
	Leadership and Strategy	Initiative, leadership skills and ability to work professionally and collaboratively to achieve team objectives across a range of team roles Expertise in strategic thinking, developing and implementing business plans and decision making under uncertainty
	Professional Skills	High level personal autonomy, judgement, decision-making and accountability required to begin professional practice

 

Across the courses, these skills are developed progressively at three levels:

• Level 1 Foundation – Students learn the skills, theories and techniques of the subject and apply them in stand-alone contexts
• Level 2 Intermediate – Students further develop skills, theories and techniques of the subject and apply them in more complex contexts, beginning to integrate the application with other subjects
• Level 3 Advanced – Students have a demonstrated ability to plan, research and apply the skills, theories and techniques of the subject in complex situations, integrating the subject content with a range of other subject disciplines within the context of the course

 

 

Generally, skills gained from subjects in the Graduate Certificate and Graduate Diploma are at levels 1 and 2 while other subjects in the Master’s degree are at level 3.

 

2.3   Subject Learning Outcomes

Listed below, are key knowledge and skills students are expected to attain by successfully completing this subject:

 

Subject Learning Outcomes	Contribution to Graduate Attributes
a) Analyse intelligent systems using concepts from machine learning, fuzzy logic, search, expert systems, neural networks, and peripheral techniques
b) Implement intelligent systems to solve business problems
c) Present and communicate complex results, derived from intelligent systems, to non-technical audiences to encourage data-driven changes
d) Evaluate emerging trends and ethical issues in intelligent systems and their application in industry

 

2.4   Subject Content and Structure

 

Below are details of the subject content and how it is structured, including specific topics covered in lectures and tutorials. Reading refers to the text unless otherwise indicated.

 

Weekly Planner:

Week (beginning)	Topic covered in each week’s lecture	Reading(s)	Expected work as listed in Moodle
1 01 Nov	Introduction to Artificial Intelligence	Ch.1 (Russell) Ch. 1 (Artasanchez)	Research and compare and contrast between AI, Data Science and Intelligent Systems Summative graded.
2 08 Nov	Uninformed search	Ch.3 (Russell)	Analyse and write code to solve a given problem using uninformed search methods. Summative graded.
3 15 Nov	Informed search	Ch 3 & Ch.4 (Russell) Ch. 10 (Artasanchez)	Analyse and write code to solve a given problem using informed search methods. Summative graded
4 22 Nov	Knowledge and reasoning	Ch.7 & Ch. 12 (Russell)	Analyse techniques in reasoning process. Summative graded
5 29 Nov	Uncertain knowledge and reasoning	Ch.12 & Ch. 14 (Russell)	Analyse techniques in uncertainty and reasoning process. Summative graded Assessment 2 Part A due: Project Planning Week 5
6 06 Dec	Planning and ethics	Ch. 11 (Russell)	Solve air cargo or travelling salesperson problem. Summative graded
7 13 Dec	Learning and ethics	Ch. 26 (Russell) and additional reading will be provided on Moodle	Research the differences between the type of methods taught previously in this course and compare them to machine learning. Summative graded

 

 

8 04 Jan (Tue)	Expert systems	Ch.16 (Russell)	Identify the problems which can be solved using expert systems. Summative graded
9 10 Jan	Decision theory	Ch.17 (Russell)	Identify the problems which can be solved using decision theory. Summative graded
10 17 Jan	Machine learning	Ch.18 (Russell) Ch. 3 & Ch. 5 (Artasanchez)	Apply neural networks on a problem e.g. predict marks in mathematics based on students history. Summative graded
11 24 Jan	Neural network-based learning	Ch.18 (Russell) Ch. 19 (Artasanchez)	Build binary logic tables, reasoning in “grey” world using Fuzzy logic. Formative not graded
12 31 Jan	Emerging trends in intelligent systems and revision	Ch. 20 (Artasanchez) Additional reading provided on Moodle	Revision/study cutting edge/current state of the art in practice or research. Formative not graded Assessment 2 due: Final submission on part A and B.
13 07 Feb	Study Review Week
14 14 Feb	Final Exam Week	Please see Exam Timetable for exam date, time and location
15 21 Feb	Student Vacation begins Enrolments for T122 is open
16 28 Feb	Results Released 01 March 2022 Certification of Grades 04 March 2022
T122 begins 07 March 2022
1 07 Mar	Week 1 of classes for T122 Friday 04 March 2022 – Review of Grade Day for T321 – see Sections 2.6 and 3.2 below for more information.

 

2.5   Public Holiday Amendments

 

Please note: KOI is closed on all scheduled NSW Public Holidays.

 

T321 has one (1) public holiday (Australia Day) that occurs during this trimester. Classes scheduled for this public holiday (Calendar Class Dates) will be rescheduled as per the table below.

 

This applies to ALL subjects taught in T321.

 

Please see the table below and adjust your class timing as required. Please make sure you have arrangements in place to attend the rescheduled classes if applicable to your T321 enrolment.

 

Classes will be conducted at the same time and in the same location as your normally scheduled class except these classes will be held on the date shown below.

 

Calendar Class Date	Rescheduled Class Date
Monday 03 January 2022 (Week 8) Wednesday 26 January 2022 (Week 11)	Monday 03 Feb 2022 Wednesday 09 Feb 2022

 

 

2.6  Review of Grade, Deferred Exams & Supplementary Exams/Assessments

 

Review of Grade:

 

There may be instances when you believe that your final grade in a subject does not accurately reflect your performance against the marking criteria. Section 8 of the Assessment and Assessment Appeals Policy (www.koi.edu.au) describes the grounds on which you may apply for a Review of Grade.

 

If you have a concern about your marks and you are unable to resolve it with the Academic staff concerned, then you can apply for a formal Review of Grade as explained in section 3.2(e) Appeals Process below. Please note the time limits for requesting a review. Please ensure you read the Review of Grade information before submitting an application.

 

Review of Grade Day:

 

Final exam scripts will not normally be returned to students. Students can obtain feedback on their exam performance and their results for the whole subject at the Review of Grade Day. KOI will hold the Review of Grade Day for all subjects studied in T321 on

 

 

Only final exams and whole subject results will be discussed as all other assessments should have been reviewed during the trimester. Further information about Review of Grade Day will be available through Moodle.

 

If you fail one or more subjects and you wish to consider applying for a Review of Grade you are STRONGLY ADVISED to attend the Review of Grade Day. You will have the chance to discuss your final exam and subject result with your lecturer, and will be advised if you have valid reasons for applying for a Review of Grade (see Section 3.2 below and the Assessment and Assessment Appeals Policy).

 

A formal request for a review of grade may not be considered unless you first contact the subject coordinator to discuss the result.

 

Deferred Exams:

 

If you wish to apply for a deferred exam because you are unable to attend the scheduled exam, you should submit the Assignment Extension / Exam Deferment Form available by clicking the following link Assignment Extension / Exam Deferment Form as soon as possible, but no later than three (3) working days of the assessment due date.

 

If you miss your mid-trimester or final exam there is no guarantee you will be offered a deferred exam.

 

You must apply within the stated timeframe and satisfy the conditions for approval to be offered a deferred exam (see Section 8.1 of the Assessment and Assessment Appeals Policy and the Application for Assignment Extension or Deferred Exam Forms). In assessing your request for a deferred exam, KOI will take into account the information you provide, the severity of the event or circumstance, your performance on other items of assessment in the subject, class attendance and your history of previous applications for special consideration.

 

Deferred mid-trimester exams will be held before the end of week 9. Deferred final exams will be held on two days during week 1 or 2 in the next trimester. You will not normally be granted a deferred exam on the grounds that you mistook the time, date or place of an examination, or that you have made arrangements to be elsewhere at that time; for example, have booked plane tickets.

 

If you are offered a deferred exam, but do not attend you will be awarded 0 marks for the exam. This may mean it becomes difficult for you to pass the subject. If you apply for a deferred exam within the required time frame and satisfy the conditions you will be advised by email (to your KOI student email address) of the time and date for the deferred exam. Please ensure that you are available to take the exam at this time.

 

Marks awarded for the deferred exam will be the marks awarded for that item of assessment towards your final mark in the subject.

 

 

Supplementary Assessments (Exams and Assessments):

 

A supplementary assessment may be offered to students to provide a final opportunity to demonstrate successful achievement of the learning outcomes of a subject. Supplementary assessments are only offered at the discretion of the Board of Examiners. In considering whether or not to offer a supplementary assessment, KOI will take into account your performance on all the major assessment items in the subject, your attendance, participation and your history of any previous special considerations.

 

If you are offered a supplementary assessment, you will be advised by email to your KOI student email address of the time and due date for the supplementary assessment – supplementary exams will normally be held at the same time as deferred final exams during week 1 or week 2 of the next trimester.

 

You must pass the supplementary assessment to pass the subject. The maximum grade you can achieve in a subject based on a supplementary assessment is a PASS grade.

 

If you:

• are offered a supplementary assessment, but fail it;
• are offered a supplementary exam, but do not attend; or
• are offered a supplementary assessment but do not submit by the due date; you will receive a FAIL grade for the

 

Students are also eligible for a supplementary assessment for their final subject in a course where they fail the subject but have successfully completed all other subjects in the course. You must have completed all major assessment tasks for the subject and obtained a passing mark on at least one of the major assessment tasks to be eligible for a supplementary assessment.

 

If you believe you meet the criteria for a supplementary assessment for the final subject in your course, but have not received an offer, complete the Complaint, Grievance, Appeal Form and send your form to [email protected] The deadline for applying for supplementary assessment is the Friday of the first week of classes in the next trimester.

 

2.7  Teaching Methods/Strategies

 

Briefly described below are the teaching methods/strategies used in this subject:

 

2.8   Student Assessment

 

Provided below is a schedule of formal assessment tasks and major examinations for the subject.

 

 

Assessment Type	When Assessed	Weighting	Learning Outcomes Assessed
Assessment 1: Tutorial Portfolio	Week 2 – Week 11	20%	a, b
Assessment 2: (2,000 words– individual assessment, Presentation 15 min) Progress Diary Part A and Part B Part C Presentation	Week 5 Week 11 Week 12	5% 20% 5% Total: 30%	a, b, c, d
Assessment 3: Final examination On-campus: 2 hours + 10 mins reading time Online: 2 hours + 30 mins technology allowance	Final Exam Period	50%	a, b, c, d

 

 

Requirements to Pass the Subject:

 

To gain a pass or better in this subject, students must gain a minimum of 50% of the total available subject marks.

 

 

2.9   Prescribed and Recommended Readings

 

Provided below, in formal reference format, is a list of the prescribed and recommended readings.

 

Prescribed Texts:

 

Artasanchez, Alberto & Joshi, Prateek, (author.), 2020. Artificial intelligence with Python: your complete guide to building intelligent apps using Python 3.x and TensorFlow 2. 2nd edition, Packt Publishing, Birmingham Available from: ProQuest Ebook Central. [25 February 2021].

 

Russell, S, and Norvig, P., 2021. Artificial Intelligence: A Modern Approach. 4th edition, Pearson Education Limited, Harlow, United Kingdom.

 

Recommended Readings:

 

Falomir, Z, Gibert, K, & Plaza, E (eds) 2018, Artificial Intelligence Research and Development: Current Challenges, New Trends and Applications, IOS Press, Incorporated, Amsterdam. Available from: ProQuest Ebook Central. [3 June 2020].

 

Haenlein, M. and Kaplan, A., 2019. A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), pp.5-14.

 

Hulten G., 2018. Building Intelligent Systems: A Guide to Machine Learning Engineering. Publisher: Apress.

Release. Available from: O’Reilly Learning [3 June 2020].

 

Kanagavalli, R. and Hanji, B.R. (2020). A Survey of Deep Learning Techniques in Natural Language Processing Applications. Journal of Computer Science Engineering and Software Testing, 06(02), pp.24–29.

 

Pattanayak S., 2019 Intelligent Projects Using Python. Publisher: Packt Publishing. Available from: O’Reilly Learning [3 June 2020].

 

Shin, D., He, S., Lee, G.M., Whinston, A.B., Cetintas, S. and Lee, K.-C. (2020). Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach. MIS Quarterly, 44(4), pp.1459–1492.

 

Suggested e-journals:

 

• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Fuzzy Systems
• International Journal of Intelligent Systems

Conference/ Journal Articles:

 

Students are encouraged to read peer reviewed journal articles and conference papers. Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites.

 

3.   Assessment Details

3.1  Details of Each Assessment Item

 

The assessments for this subject are described below. The description includes the type of assessment, its purpose, weighting, due date and submission requirements, the topic of the assessment, details of the task and detailed marking criteria, including a marking rubric for essays, reports and presentations.

Supplementary assessment information and assistance can be found in Moodle.

 

KOI expects students to submit their own work in both assignments and exams, or the work of their group in the case of group assignments. Material in assignments which comes from the work of others must be appropriately acknowledged.

 

Assessment 1

 

Assessment type: Tutorial Portfolio – individual assessment.

 

Purpose: To maintain a weekly portfolio of answers to tutorial exercises. This assessment contributes to learning outcomes a, and b.

 

Value: 20%                   Due Date: Each week (marked the week after the tutorial)

 

Task Details: Tutorials will typically consist of developing intelligent systems using different techniques. Students are encouraged to get feedback on their answers within the tutorials before including them in the portfolio.

 

Marking Guide for Assessment 1:

 

Grade	Fail (0 – 49%)	Pass (50 – 64%)	Credit (65 – 74%)	Distinction (75 – 84%)	High Distinction (85 – 100%)
Tutorial Exercises 20 marks	Less than 50%of the tutorial exercises completed or many major errors or omissions	Most tutorial exercises completed, but with some major errors or omissions	Most tutorial exercises completed, but with some minor errors and omissions	Nearly all tutorial exercises completed, but with some minor errors and omissions	All tutorial exercises complete and accurate or with few very minor errors

 

Assessment 2:

 

Assessment type: Individual assessment submitted in three parts.

 

1. Part A (Project Planning) – A 1000-word report proposing a potential solution to the provided business problem and prospective planning for the
2. Part B (Project Report and Implementation) – A Technical implementation/prototype on intelligent systems along with a 2000-word technical in depth-analysis of the proposed practical solution to the given business case.
3. Part C (Project Presentation and Demonstration) – A 15 minutes Presentation and demonstration of the solution

 

Purpose: The purpose of the assignment is to enable the students with the skills of assessing existing business problem from a given case study from specific industry and develop innovative technological solution using an intelligent system to address specific business problems. In addition to that students will produce written report describing the business problem, analysis reports, evaluation and effectiveness of the proposed. The assessment contributes to learning outcomes a, b, c and d.

 

Value: 30% (Progress Diary 5%; Part A and Part B 20%; Part C Presentation 5%)

 

Due Date: Progress Diary Week 7; Part A and B submission Week 11; Presentation Week 12 Submission: submit the completed summary on the technical solutions of intelligent systems on Moodle

Assessment topic: Intelligent design and development of a Business problem. Business problem is going to be provided by the instructor during week 4 for which student needs to design and develop an Intelligent Solution.

 

Task Details: Students will be provided with a technical and managerial case study on Retail Industry in Week 4 on Moodle which highlights a specific Retail specific business problem. Students are required to design and develop innovative technical solution that will enable the Retail business for better decision making, create new revenue streams, increase business efficiencies, and generate savings. Students will also choose appropriate metrics and analyse the data. Recommendations will be developed based on this analysis. Justification for the recommendations must be well argued. The technical solutions should be developed in a way that allows management to clearly see the benefits of acting on the recommendations provided. The demonstration of the prototype is required before submitting assignment on Moodle.

 

Submission requirements details:

 

Part A – Project Planning (Due Date : Week 5):

 

• Student will propose an intelligent solution to the given Retail business problem and will submit a 1000-word report on the prospective planning for the

 

Part B – Project Report and Implementation (Due Date : Week 11):

 

• Students will design and develop a technical implementation/prototype of the intelligent solution using programming and/or
• Students will also write a compelling 2000-word technical in depth-analysis of the proposed solution to the given Retail business case.
• The Technical analysis must have at least the following sections:
  • Introduction and problem statement: Brief introduction of the case study and problem
  • Proposed solution: details of the
  • Evaluation metric(s): clearly describing all aspects of evaluation metrics for performance evaluation of the implemented
  • Results: Demonstration of the analyses and discuss of the
  • Development: Implementation and demonstration of the protype
  • Recommended actions: based on the analysis of the results, recommendations for solving the business problem should be given

 

Part C – Project Presentation and Demonstration (Due Date : Week 12):

 

• Students will perform a 15 minutes presentation on Week 12 during Lecture/Tutorial time demonstrating and discussing the implemented intelligent solution and submit the presentation

 

Marking Rubric for Assessment 2: Progress Diary (5%)

 

Criteria	Unsatisfactory	Satisfactory	Effective	Excellent	Exceptional
Answer the given questions	Fail   (0 – 49%)	Pass   (50 – 64%)	Credit   (65 – 74%)	Distinction   (75 – 84%)	High Distinction   (85 – 100%)
Introduction   1.25 Marks	No introduction given or most of the introduction is irrelevant	Introduction of the business case is provided with some details and limited cohesion	Introduction of the business case is provided with most of the required details in a cohesive manner	Introduction of the business case is provided with all of the required details in a comprehensive and cohesive manner	Introduction of the business case is provided with all details presented systematically in a comprehensive and cohesive manner
Case Study Structure/Basic Prototype   2.5 Marks	Very difficult to read, unclear structure/prototype, and most of the required sections are missing	Some difficulty in reading, not very clear, but important sections are included	Clear and readable, and all required sections are included	Well written and very clear, and all required sections with completed discussion are included	Well written and very clear, all required sections with completed discussion are included, and additional sections have been added for clarity
Conclusion and References 1.25 Marks	No conclusion or lack of cohesion with the discussion, no or limited recommendations provided	Conclusion does not link back systematically to most sections, some basic recommendations provided	Conclusion links back to some sections of the report, some detailed recommendations provided	Conclusion links back to all sections of the report, detailed recommendations provided	Conclusion demonstrates a deep understanding of the proposed solution and relates back to all sections of the report, detailed recommendation s provided

 

Marking Rubric for Assessment 2: Part A & Part B (20%)

 

 

Criteria	Fail (0 – 49%)	Pass (50 – 64%)	Credit (65 – 74%)	Distinction (75 – 84%)	High Distinction (85 – 100%)
Introduction and problem statement   2.5 marks	No introduction and problem statement given or most of the introduction is irrelevant	Introduction and problem statement provided with some details and limited cohesion	Introduction and problem statement provided with most of the required details in cohesive manner	Introduction and problem statement provided with all the required details in comprehensive and cohesive manner	Introduction and problem statement provided with all details systematically in a comprehensive and cohesive manner
Proposed solution 5 marks	Not attempted or mostly irrelevant information is given	Has provided a section in the report stating the solution for a few tasks and details are incomplete	Has provided a proposed solution section for some of the tasks with required details	Has provided a proposed solution section. Has further explained mathematically how the solution will work. Completed most of the tasks	Has provided a proposed solution section. Has further explained mathematically how the solution will work. Completed all of the tasks
Evaluation metric(s)   5 marks	Not attempted or mostly irrelevant information is given	Has provided a description of evaluation metrics used without explanation as to how and why the chosen matrices were chosen	Has provided an explanation of metrics used, clearly stated either which metrices were used and why they were used	Has provided an explanation of metrics used, clearly stated both which metrices were used and why they were used	Has provided an explanation of metrics used, clearly stated both which metrices were used and why they were used. Has also discussed the consequences of their choice (as in why other candidate metrices were not chosen)
Results and reporting   5 marks	Not attempted or mostly irrelevant information is given	Presented and written a report suited to some stakeholders (technical, sales and executive), is able to present some results at different levels of abstraction suited to stakeholders	Presented and written a report suited to most stakeholders (technical, sales and executive), is able to present most results at different levels of abstraction suited to stakeholders	Presented and written a report suited to nearly all stakeholders (technical, sales and executive), is able to present nearly all results at different levels of abstraction suited to stakeholders	Presented and written a report suited to all stakeholders (technical, sales and executive), is able to present all results at different levels of abstraction suited to stakeholders
Recommended actions   2.5 marks	Not attempted or mostly irrelevant information is given	Written only a few lines suggesting actions arising out of analysis, does not demonstrate how the actions may impact the business, stakeholders, and the industry involved	Suggests actions, demonstrates how the actions may impact one of the following; the businesses, stakeholders, and the industry involved	Suggests clear and forceful actions, demonstrate how the actions may impact two of the following; the businesses, stakeholders, and the industry involved	Suggests clear and forceful actions. Demonstrate how the actions may impact all of the following; the businesses, stakeholders, and the industry involved.
Total mark out of 20

 

Marking Rubric for Assessment 2: Part C (5%)

 

Criteria	Fail   (0 – 49%)	Pass   (50 – 64%)	Credit   (65 – 74%)	Distinction   (75 – 84%)	High Distinction   (85 – 100%)
Visual Appeal 1 Mark	There are many errors in spelling, grammar and punctuation. The slides were difficult to read, not proper color and font used, too much information been copied. No visual appeal.	There are many errors in spelling, grammar and punctuation. Too much information was contained on many slides. Minimal effort made to make slides, too much going on.	There are some errors in spelling, grammar and punctuation. Too much information on two or more slides. Significant visual appeal.	There are no errors in spelling, grammar and punctuation. Information is clear and concise on each slide. Visually appealing and engaging.	Professional looking presentation There are no errors in spelling, grammar and punctuation. Information is clear and concise on each slide. Visually appealing and very engaging.

 

 

Content 1 Mark	The presentation provides a brief look at the topic, but many questions are left unanswered, majority of information is irrelevant and significant points left out	The presentation Is informative, but several elements are unanswered, much of the information irrelevant, coverage of some of major points	The presentation is a good summary of the topic, most important information covered, little irrelevant information	The presentation is a concise summary of the topic with all questions answered, comprehensive and complete coverage of information	Exceptionally good summary of the topic and provides extensive supportive elements to aid the ease of understanding of the audience
Presentation Skills 3 Marks	Minimal eye contact focusing on small part of audience, the audience is not engaged, spoke too quickly or quietly making it difficult to understand, poor body language	Focuses on only part of the audience, sporadic eye contact and the audience is distracted, speaker could be heard by only half of the audience, body language is distracting	Speaks to majority of the audience, steady eye contact, the audience is engaged by the presentation, speaks at a suitable volume, minor problems with body language eg. fidgeting	Regular/constant eye contact, the audience is engaged, and presenter held the audience’s attention, appropriate speaking volume and good body language	Professional presentation skills, excellent audience engagement

 

 

 

Assessment 3

 

Assessment Type: Final exam – open book exam – individual assessment.

 

Duration: On-campus: 2 hours + 10 mins reading time. Online: 2 hours + 30 mins technology allowance

 

Purpose: The purpose of the final examination is to test students’ understanding of the subject’s concepts and their ability to apply these concepts. This assessment contributes specifically to learning outcomes a, b, c, and d.

 

Value: 50%                   Due Date: The final exam will be held in the official KOI exam period in Week 14 of the trimester. The specific date and time will be posted towards the end of the trimester.

 

Topic: The examination may cover content from any part of the subject

 

Task Details: The exam will consist of short answer, extended answer and scenario-based questions derived from topics covered in the lectures and tutorials during the trimester.

 

3.2  General information about assessment

 

1. Late Penalties and Extensions

 

An important part of business life and key to achieving KOI’s graduate outcome of Professional Skills is the ability to manage workloads and meet deadlines. Completing assessment tasks on time is a good way to master these habits.

 

Students who miss mid-trimester tests and final exams without a valid and accepted reason may not be granted a deferred exam and will be awarded 0 marks for the assessment item. Assessment items which are missed or submitted after the due date/time will attract a penalty unless there is a compelling reason (see below). These penalties are designed to encourage students to develop good time management practices, and to create equity for all students.

 

Any penalties applied will only be up to the maximum marks available for the specific piece of assessment attracting the penalty.

 

Late penalties, granting of extensions and deferred exams are based on the following:

 

In Class Tests and Quizzes (excluding Mid-Trimester Tests)

 

• Generally, extensions are not permitted. A make-up test may only be permitted under very special circumstances where acceptable supporting evidence of illness, hardship or unavoidable problems preventing completion of the assessment is provided (see section (b) below). The procedures and

 

timing to apply for a make-up test (only if available) are as shown in the section Applying for an Extension (see below).

• Missing a class test will result in 0 marks for that assessment item unless the above

 

Written Assessments and Video Assessments

 

• There is a late penalty of 5% of the total available marks per calendar day unless an extension is approved (see Applying for an Extension section below).

 

Presentations

 

• Generally, extensions are not permitted. Missing a presentation will result in 0 marks for that assessment item. The rules for make-up presentations are the same as for missing in-class tests (described above).

For group presentations, if serious circumstances prevent some members of the group from participating, the members of the group who are present should make their contributions as agreed. If a make-up presentation is approved, the other members of the group will be able to make their individual presentation later and will be marked according to the marking rubric. A video presentation may be used to facilitate the process.

 

Mid-Trimester Tests and Final Exams

 

If students are unable to attend mid-trimester tests or final exams due to illness, hardship or some other unavoidable problem (acceptable to KOI), they must:

 

• Complete the Assignment Extension / Exam Deferment Form available by clicking the following link Assignment Extension / Exam Deferment Form as soon as possible, but no later than three (3) working days after the exam
• Provide acceptable documentary evidence (see section (b) below).
• Agree to attend the deferred exam as set by KOI if a deferred exam is

Deferred exam

 

• There will only be one deferred exam
• Marks obtained for the deferred exam will be the marks awarded for that assessment
• If you miss the deferred exam you will be awarded 0 marks for the assessment item. This may mean you are unable to pass the

 

b)      Applying for an Extension

 

If students are unable to submit or attend an assessment when due, they must

 

• Complete the Assignment Extension / Exam Deferment Form available by clicking the following link Assignment Extension / Exam Deferment Form as soon as possible, but no later than three (3) working days of the assessment due date.
• Provide acceptable documentary evidence in the form of a medical certificate, police report or some other appropriate evidence of illness or hardship, or a technician’s report on problems with computer or communications technology, or a signed and witnessed statutory declaration explaining the
• Students and lecturers / tutors will be advised of the outcome of the extension request as soon as

 

Please remember there is no guarantee of an extension being granted, and poor organisation is not a satisfactory reason to be granted an extension.

 

c)      Referencing and Plagiarism

 

Please remember that all sources used in assessment tasks must be suitably referenced.

Failure to acknowledge sources is plagiarism, and as such is a very serious academic issue. Students plagiarising run the risk of severe penalties ranging from a reduction in marks through to 0 marks for a first

 

offence for a single assessment task, to exclusion from KOI in the most serious repeat cases. Exclusion has serious visa implications. The easiest way to avoid plagiarising is to reference all sources.

 

Harvard referencing is the required method – in-text referencing using Author’s Surname (family name) and year of publication. A Referencing Guide, “Harvard Referencing”, and a Referencing Tutorial can be found on the right-hand menu strip in Moodle on all subject pages.

 

An effective way to reference correctly is to use Microsoft Word’s referencing function (please note that other versions and programs are likely to be different). To use the referencing function, click on the References Tab in the menu ribbon – students should choose Harvard.

 

Authorship is also an issue under plagiarism – KOI expects students to submit their own original work in both assessment and exams, or the original work of their group in the case of a group project. All students agree to a statement of authorship when submitting assessments online via Moodle, stating that the work submitted is their own original work.

 

The following are examples of academic misconduct and can attract severe penalties:

 

• Handing in work created by someone else (without acknowledgement), whether copied from another student, written by someone else, or from any published or electronic source, is fraud, and falls under the general Plagiarism
• Copying / cheating in tests and exams is academic Such incidents will be treated just as seriously as other forms of plagiarism.
• Students who willingly allow another student to copy their work in any assessment may be considered to assisting in copying/cheating, and similar penalties may be

 

Where a subject coordinator considers that a student might have engaged in academic misconduct, KOI may require the student to undertake an additional oral exam as a part of the assessment for the subject, as a way of testing the student’s understanding of their work.

 

Further information can be found on the KOI website.

 

d)      Reasonable Adjustment

 

The Commonwealth Disability Discrimination Act (1992) makes it unlawful to treat people with a disability less fairly than people without a disability. In the context of this subject, the principle of Reasonable Adjustment is applied to ensure that participants with a disability have equitable access to all aspects of the learning for the subject. For assessment, this means that barriers to their demonstrating competence are removed wherever it is reasonably practical to do so.

 

Examples of reasonable adjustment in assessment may include:

• provision of an oral assessment, rather than a written assessment
• provision of extra time
• use of adaptive

The focus of the adjusted assessment should be on enabling the student to demonstrate achievement of the learning outcomes for the subject, rather than on the method of assessment.

 

e)      Appeals Process

 

Full details of the KOI Assessment and Assessment Appeals Policy may be obtained in hard copy from the Library, and on the KOI website www.koi.edu.au under Policies and Forms.

 

Assessments and Mid-Trimester Exams:

 

Where students are not satisfied with the results of an assessment, including mid-trimester exams, they have the right to appeal. The process is as follows:

 

• Discuss the assessment with their tutor or lecturer – students should identify where they feel more marks should have been awarded – students should provide valid reasons based on the marking guide provided for the Reasons such as “I worked really hard” are not considered valid.
• If still not satisfied, students should complete an Application for Review of Assessment Marks form, clearly explaining the reasons for seeking a This form is available from the KOI website under

 

Policies and Forms and is also available at KOI Reception (Kent St, Market St and O’Connell St). The completed Application for Review of Assessment Marks form should be submitted as explained on the form with supporting evidence attached to [email protected] .

• The form must be submitted within ten (10) working days of the return of the marked assessment, or within five (5) working days after the return of the assessment if the assessment is returned after the end of the

 

Review of Grade – whole of subject and final exams:

 

Where students are not satisfied with the results of the whole subject or with their final exam results, they have the right to request a Review of Grade – see the Assessment and Assessment Appeals Policy for more information.

 

An Application for Review of Grade/Assessment Form (available from the KOI Website under Policies and Forms and from KOI Reception at Kent St, Market St and O’Connell St) should be completed clearly explaining the grounds for the application. The completed application should be submitted as explained on the form, with supporting evidence attached to [email protected] .