• Class Number 2614
  • Term Code 3430
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Priya Muthukannan
  • LECTURER
    • Dr Priya Muthukannan
  • Class Dates
  • Class Start Date 19/02/2024
  • Class End Date 24/05/2024
  • Census Date 05/04/2024
  • Last Date to Enrol 26/02/2024
  • TUTOR
    • Alyssa Sha
    • Dr Yingnan Shi
SELT Survey Results

This course builds on the material introduced in introductory Business Information Systems courses by covering how business analytics and business intelligence can be used for improved business decision-making. Contemporary forms of analytics such as visual, text, sentiment, web, and social are covered in the course, as well as established technologies like decision support, knowledge management, collaborative and expert systems.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Identify the business problems that require decision-making support from business analytics;
  2. Establish the best search strategy to acquire evidence relevant to the business problem;
  3. Establish the business analytics method relevant to the business process and the reliability and validity of evidence;
  4. Summarise the relevant evidence in view of finding analytics solutions to business questions;
  5. Recognise social and ethical implications of analytics solutions to the business problem;
  6. Design optimal analytics processes to increase the likelihood of favourable business decision-making outcomes; and
  7. Reflect on feedback to adjust solutions.

Research-Led Teaching

Lectures will be carried out face-to-face in class.

The course has readings that are a mix of research and industry publications that cover both theoretical concepts and practical application of the content. The fortnightly assessment provides the opportunity for students to apply newly developed skills and receive timely feedback. The visualisation and major assignments allow the student to apply their cumulative analytical research skills and decision-making knowledge to a real-world scenario of their choosing.

Field Trips

There are no field trips in this course.

Additional Course Costs

There are no additional class costs expected in this course. The software packages used are available on a trial or free of charge basis.

Examination Material or equipment

There are no examinations in this course.

Required Resources

There are no additional required resources in this courses, but access to a modern computing device (tablet, laptop or desktop computer) is highly advisable. The ANU has a number of computer labs spread across the campus (map)

Suggested textbook (Hardcopy available in ANU Library reserve & short loan collection, as well as Online )


Business Intelligence and Analytics: Systems for Decision Support

Author: Ramesh Sharda, Dursun Delen & Efraim Turban

Publisher: Pearson Higher Ed USA

Edition: Global Edition (10e)

ISBN: 9781292009209

Availability: Online & Campus Bookstore

Price: $50-$122.50

Notes: http://www.pearson.com.au/9781292009209


The newer (2020) 11th edition is also suitable and will be available Online, at Campus bookstore & ANU Library (requested) - https://www.pearson.com.au/9781292341552

Staff Feedback

Students will be given feedback in the following forms in this course:
  • Written comments
  • Verbal comments
  • Feedback to the whole class, to groups, to individuals, focus groups

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Scaling

Your final mark for the course will be based on the raw marks allocated for each of your assessment items. However, your final mark may not be the same number as produced by that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (i.e. if your raw mark exceeds that of another student, then your scaled mark will exceed the scaled mark of that student), and may be either up or down.


Support for students

The University offers a number of support services for students. Information on these is available online from https://www.anu.edu.au/students/student-life

Class Schedule

Week/Session Summary of Activities Assessment
1 Week 1: BA Overview & DM Foundations Prepare Fortnightly Assessment 1 - Due Week 2
2 Week 2: Descriptive AnalyticsData Warehousing Prepare Reflective Journal 1 - Due Week 3
3 Week 3: Descriptive AnalyticsBusiness Reporting, Visual Analytics and Business Performance Management Prepare Fortnightly Assessment 2 - Due Week 4
4 Week 4: Predictive AnalyticsData Mining & Techniques for Predictive Modelling Prepare Reflective Journal 2 - Due Week 5
5 Week 5: Predictive AnalyticsText Analytics, Text Mining, and Sentiment Analysis Prepare Fortnightly Assessment 3 - Due Week 6
6 Week 6: Predictive AnalyticsWeb Analytics, Web Mining, and Social Analytics Visualisation report - Due Week 6
7 Week 7: Prescriptive AnalyticsModel-Based Decision Making: Optimisation and Multi-Criteria Systems Prepare Reflective Journal 3 - Due Week 8
8 Week 8: Prescriptive AnalyticsModelling and Analysis: Heuristic Search Methods and Simulation Prepare Fortnightly Assessment 4 - Due Week 9
9 Week 9: Prescriptive AnalyticsAutomated Decision Systems and Expert Systems Prepare Reflective Journal 4 - Due Week 10
10 Week 10: Prescriptive AnalyticsKnowledge Management and Collaborative Systems Prepare Fortnightly Assessment 5 - Due Week 11
11 Week 11: Big Data Prepare Reflective Journal 5 - Due Week 12
12 Week 12: Emerging Trends & Future Impact Major Assignment (Final Report) - Due first Friday in end of semester examination period

Tutorial Registration

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

This course has tutorials or tutorial-like teaching activities. Further details about the structure and teaching activities for this course will be available on the course Wattle site at the start of O-Week.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Fortnightly Assessment (5 items @ 6% per items for Task 1) 30 % * * 1,2,3,4,5,6
Reflective Journal (5 items @ 2% per item for this task) 10 % * * 7
Visualisation Report Assignment (20%) 20 % 29/03/2024 16/04/2024 1,2,3,4,5,6
Major Final Report Assignment (40%) 40 % 30/05/2024 27/06/2024 1,2,3,4,5,6

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

The lectures for this course will be delivered Face-to-Face. Participation is expected in all workshop classes but not assessed.

Additional opportunities for group or on-to-one consultation with the convener will be communicated via the course Wattle site in Week 1.

Attendance at seminars, lectures, and tutorials, while not compulsory, is expected in line with "Code of Practice for Teaching and Learning," Clause 2 paragraph (b). Where students will not be able to attend a seminar, lecture and tutorial, they should advise the Convenor and discuss how to otherwise address the learning materials.

Examination(s)

There are no examinations for this course.

Assessment Task 1

Value: 30 %
Learning Outcomes: 1,2,3,4,5,6

Fortnightly Assessment (5 items @ 6% per items for Task 1)

Due Date

The fortnightly assessment work comprises 30% of your final course mark, with the first of 5 items being due in Week 2. A set of questions will be assigned for each fortnight of the semester and you are required to attempt to answer these questions individually and submit your answers to Wattle by the due date. Each fortnight's questions will deal with the material presented during that week or the previous weeks.


Assessment Type

Individual


Form of Submission

Fortnightly assessment tasks are to be submitted using the course Wattle site by the deadline (which will be at least fortnightly). Submitted assessment does not require a cover sheet. Please keep a copy of submitted work for your records.


Note that your answers must be provided in word-processed or other appropriate electronically produced form. Unless specifically noted in the instructions, handwritten work will not be accepted or, if submitted, will not be marked.


The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assessment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit ANU Online.


Performance Level

The marker will rate your submitted work (i.e. answers to problems) each fortnight on the relevant point scale.

Problem-based:

0 = No work is submitted, or all of the answers are of an unacceptably poor standard.

1-2 = Not all work was attempted, or all was attempted but most or all of the responses are significantly or seriously flawed.

3-4 = All work was attempted and the quality of the work is generally good.

5-6 = All work was attempted and the quality of the work is, on the whole, excellent.


Note that individual questions will not be marked. Nor should you expect there to be detailed written comments on your submitted work because you are expected to obtain this kind of feedback for yourself in private consultation or during the discussion in workshop classes.

Once fortnightly assessment has been marked (typically before the workshop in which the answers will be discussed or 1-2 days after), results will be released via the gradebook feature on Wattle.

There is no word limit for the Fortnightly Assessments but 3-4 pages is typical, depending on question(s) set. More information about the assessments will be made available on Wattle.


Assessment Expectations

Consider submission of all fortnightly assessments as being expected, but non-submission will not prevent you passing if your cumulative final mark across all assessments is at a pass level. You will have an opportunity to submit 5 pieces of fortnightly assessment to obtain the 30%, with each individual fortnightly assessment submission being worth 6%.


Late Submission

All requests for extensions to assessment in RSM courses must be submitted through the CBE extension request portal: CBE Assessment Extension Request Form. Further information on this process can be found at https://rsm.anu.edu.au/study/students/extension-application-procedure


Marks and limited feedback are normally made available before the workshop in which the answers will be discussed (timetable dependent).

Assessment Task 2

Value: 10 %
Learning Outcomes: 7

Reflective Journal (5 items @ 2% per item for this task)

Due Date

The fortnightly reflective journal entry work comprises 10% of your final course mark, with the first of 5 items being due in Week 3. A set of questions will be assigned for each fortnight of the semester and you are required to attempt to answer these questions individually and submit your answers to Wattle by the due date.


Assessment Type

Individual


Form of Submission

Fortnightly reflective journal entry tasks are to be submitted using the course Wattle site by the deadline (which will be at least fortnightly). Submitted assessment does not require a cover sheet. Please keep a copy of submitted work for your records.


Note that your answers must be provided in word-processed or other appropriate electronically produced form. Unless specifically noted in the instructions, handwritten work will not be accepted or, if submitted, will not be marked.


The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assessment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit ANU Online.


Performance Level

The marker will rate your submitted work (i.e. reflective journal entry) each fortnight on the relevant point scale.


Reflective journal entry:

0 = No work is submitted, or the entry is of an unacceptably poor standard that lacks deep thought.

1 = An entry was attempted and the quality of the work, in part or on the whole, lacking in proper reflective writing style elements.

2 = An entry was attempted and the quality of the work, on the whole, meets the requirements (i.e.that you to think deeply and critically about your reactions to the course and the progress you are making).


Note that individual questions will not be marked. Nor should you expect there to be detailed written comments on your submitted work because you are reflecting on yourself.


Once the fortnightly reflective journal entry has been marked, results will be released via the gradebook feature on Wattle.

There is no word limit for the Reflective Journal entry but 0.5 (1/2) page per fortnightly entry is a reasonable expectation. You will be provided with reflective writing support materials in the first week to explain what is expected. More information about this assessment will be made available on Wattle.


Mandatory Assessment

Consider all fortnightly reflective journal entries as being mandatory (i.e. submission is expected), but non-submission will not prevent you passing if your cumulative final mark across all assessments is at a pass level. You will have an opportunity to submit 5 pieces of fortnightly entries to obtain the 10%, with each individual fortnightly entries submission being worth 2%.


Please note that extensions for submission of fortnightly reflective journal work will not normally be allowed due to the quick turnaround in marking. Only in exceptional and unavoidable circumstances will consideration even be given to a request for an extension, and then there is no guarantee that such a request will be approved. If you know (hopefully early in the semester) you will have conflicting commitments, discuss alternative assessment arrangements with the Course Convenor.


Marks and limited feedback are normally made available before the workshop in which the answers will be discussed (timetable dependent).

Assessment Task 3

Value: 20 %
Due Date: 29/03/2024
Return of Assessment: 16/04/2024
Learning Outcomes: 1,2,3,4,5,6

Visualisation Report Assignment (20%)

Task 3 and Task 4, which are sequential, together form 60% of the total grade.

The visualisation report (task 3 ) has to be completed before task 4 (report writing). They may be related, though they do not have to be related.

Task 3 focuses on the visualisation part of how data visualisation can be used by real life organisations.

It consists, essentially, of you, the student, developing one (or more) case studies and you should regard it as offering both an educational experience and an opportunity for you to demonstrate that you have mastered the various techniques and tools covered in the course.


You, the student, are responsible for choosing what will be the target organisation(s) for the two tasks comprising this assignment. It is suggested that your choice relates to hobbies, work or other interests for which they already possess the necessary information and knowledge or can readily gain access to it from expert others. It is therefore best both from the point of view of learning opportunities as well as getting the best marks to choose a case study target that is real (i.e. relates to a genuine problem, opportunity or need in the real world) rather than one that is entirely fictional (i.e. dreamed up wholly within your own head).


For this task 3, the Visualisation Report, you are to include a small report demonstrating how data visualisation can be used by a real-life organisation. More information on the length will be provided on the Wattle course site during the semester.

Further details about the assignments including length and the marking criteria will be provided by week 2.

Assessment Type

Individual

Due Date

Due no later than the end of 5pm Friday Week 6.

Feedback and comments will be provided on 16.04.2024


Form of Submission

Assignments are to be submitted using the course Wattle site. Submitted assessment does not require a cover sheet but most use professional report format that includes a title page containing the student's name and number. Please keep a copy of submitted work for your records.


Note that your work must be provided in word-processed or other appropriate electronically produced form. Unless specifically noted in the instructions, handwritten work will not be accepted or, if submitted, will not be marked.


The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assessment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit ANU Online.


Mandatory Assessment

Both assessment tasks 3 and 4 are mandatory.

Assessment Task 4

Value: 40 %
Due Date: 30/05/2024
Return of Assessment: 27/06/2024
Learning Outcomes: 1,2,3,4,5,6

Major Final Report Assignment (40%)

This is the second instalment sequential to assessment task 3. Task 4 carries 40% weight in the final grade for this course.


This is the final report you will need to produce (in a case study format) following the visualisation report in assessment task 3.

The two assessment tasks can be linked (but do not need to be) if you wish the major final report (task4) to go into further detail about what you report in the visualisation assignment (task 3).


You, the student, are responsible for choosing what will be the target organisation(s) for your two assignments. It is suggested that your choice relates to hobbies, work or other interests for which you already possess the necessary information and knowledge or can readily gain access to it from experts. It is therefore best both from the point of view of learning opportunities as well as getting the best marks to choose a case study target that is real (i.e. relates to a genuine problem, opportunity or need in the real world) rather than one that is entirely fictional (i.e. dreamed up wholly within your own head).


The major final report will be in case study format, summarising how business analytics can be applied by a real-life organisation.


Further details about the task including length and the marking criteria will be provided by week 2.


Due Date

Due no later than 5pm Friday, first week of exam period.

Assessment Type

Individual

Feedback and comments will be provided on release of final results (27.06.2024)


Form of Submission

Assignments are to be submitted using the course Wattle site. Submitted assessment does not require a cover sheet but most use professional report format that includes a title page containing the student's name and number. Please keep a copy of submitted work for your records.


Note that your work must be provided in word-processed or other appropriate electronically produced form. Unless specifically noted in the instructions, handwritten work will not be accepted or, if submitted, will not be marked.


The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assessment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit ANU Online.


Mandatory Assessment

Both assessment tasks 3 and 4 are mandatory.


AI Use: The use of AI such as ChatGPT to generate an essay or report is not allowed as it is akin to plagiarism. Students are required to demonstrate achievement of critical, analytical and synthesis skills in high quality works.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Learning Platforms website.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

No submission of fortnightly assessment or reflective journal tasks without an extension after the due date will be permitted. If a fortnightly assessment or reflective journal task is not submitted by the due date, a mark of 0 will be awarded.


Late submission of report assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

All requests for extensions to assessment in RSM courses must be submitted through the CBE extension request portal: CBE

Assessment Extension Request Form. Further information on this process can be found at https://rsm.anu.edu.au/study/students/extension-application-procedure

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Please see relevant assessment task details above.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Unless specified otherwise in the assignment requirements, resubmissions are permitted up until the due date and time, but not allowed afterwards.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
Dr Priya Muthukannan
priyadharshini.muthukannan@anu.edu.au

Research Interests


  • Disruptive Technologies
  • Platform Ecosystems
  • Digital Transformation

Dr Priya Muthukannan

Friday 09:00 10:00
Friday 09:00 10:00
Dr Priya Muthukannan
priyadharshini.muthukannan@anu.edu.au

Research Interests


Dr Priya Muthukannan

Friday 09:00 10:00
Friday 09:00 10:00
Alyssa Sha
alyssa.sha@anu.edu.au

Research Interests


  • Disruptive Technologies
  • Platform Ecosystems
  • Digital Transformation

Alyssa Sha

Tuesday 14:00 15:00
Dr Yingnan Shi
yingnan.shi@anu.edu.au

Research Interests


Dr Yingnan Shi

Monday 14:00 15:00

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions