• Class Number 4230
  • Term Code 2930
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Alexander Richardson
  • LECTURER
    • Dr Alexander Richardson
  • Class Dates
  • Class Start Date 25/02/2019
  • Class End Date 31/05/2019
  • Census Date 31/03/2019
  • Last Date to Enrol 04/03/2019
SELT Survey Results

This course builds on the material introduced in INFS7040 Electronic Commerce for Managers and INFS7007 Systems Analysis & Modelling 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:

Upon successful completion of the requirements for this course, students will be able to:
  • Identify the business problems that require decision-making support from business analytics;
  • Establish the best search strategy to acquire evidence relevant to the business problem;
  • Establish the business analytics method relevant to the business process and the reliability and validity of evidence;
  • Summarise the relevant evidence in view of finding analytics solutions to business questions;
  • Recognise social and ethical implications of analytics solutions to the business problem;
  • Design optimal analytics processes to increase the likelihood of favourable business decision-making outcomes; and
  • Reflect on feedback from self-reflection journal to adjust solutions.

Research-Led Teaching

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 weekly 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

No field trips in this course.

Additional Course Costs

No additional class costs expected in this course.

Examination Material or equipment

There are no examinations in this course.

Required Resources

No additional required resources in this courses but access to a modern computing device (tablet, laptop or desktop computer) is highly advisable.

Suggested textbook


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

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.

Class Schedule

Week/Session Summary of Activities Assessment
1 Seminar - Week 1: BA Overview & DM Foundations Prepare Weekly Assessment 1 & Reflective Journal 1 - Due Week 2
2 Seminar - Week 2: Descriptive Analytics Data Warehousing Prepare Weekly Assessment 2 & Reflective Journal 2 - Due Week 3
3 Seminar - Week 3: Descriptive Analytics Business Reporting, Visual Analytics and Business Performance Management Prepare Weekly Assessment 3 & Reflective Journal 3 - Due Week 4
4 Seminar - Week 4: Predictive Analytics Data Mining & Techniques for Predictive Modelling Prepare Weekly Assessment 4 & Reflective Journal 4 - Due Week 5
5 Seminar - Week 5: Predictive Analytics Text Analytics, Text Mining, and Sentiment Analysis Prepare Weekly Assessment 5 & Reflective Journal 5 - Due Week 6
6 Seminar - Week 6: Predictive Analytics Web Analytics, Web Mining, and Social Analytics Visualization report due
7 Seminar - Week 7: Prescriptive Analytics Model-Based Decision Making: Optimization and Multi-Criteria Systems Prepare Weekly Assessment 6 & Reflective Journal 6 - Due Week 8
8 Seminar - Week 8: Prescriptive Analytics Modelling and Analysis: Heuristic Search Methods and Simulation Prepare Weekly Assessment 7 & Reflective Journal 7 - Due Week 9
9 Seminar - Week 9: Prescriptive Analytics Automated Decision Systems and Expert Systems Prepare Weekly Assessment 8 & Reflective Journal 8 - Due Week 10
10 Seminar - Week 10: Prescriptive Analytics Knowledge Management and Collaborative Systems Prepare Weekly Assessment 9 & Reflective Journal 9 - Due Week 11
11 Seminar - Week 11: Big Data Prepare Weekly Assessment 10 & Reflective Journal 10 - Due Week 12
12 Seminar - Week 12: Emerging Trends & Future Impact Major Assignment - Final Report due in end of semester examination period

Tutorial Registration

There are no separate tutorials in this course. The discussion of weekly assessment will be done during the weekly 3 hour seminar.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Weekly Assessment (10 weeks x 3% per week) 30 % 04/03/2019 31/05/2019 1,2,3,4,5,6
Reflective Journal (10 weeks x 1% per week) 10 % 04/03/2019 31/05/2019 7
Visualisation Report 20 % 05/04/2019 19/04/2019 1,2,3,4,5,6
Major Assignment - Final Report 40 % 07/06/2019 04/07/2019 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

Participation is expected in all seminar classes but not assessed.

Examination(s)

There are no examinations for this course.

Assessment Task 1

Value: 30 %
Due Date: 04/03/2019
Return of Assessment: 31/05/2019
Learning Outcomes: 1,2,3,4,5,6

Weekly Assessment (10 weeks x 3% per week)

Due Date

The weekly assessment work comprises 30% of your final course mark, with the first of 10 items being due in Week 2. A set of questions will be assigned for each week 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 week's questions will deal with the seminar material presented during that week or the previous week. Also note that the questions and work listed for each week should be done during that week, in preparation for discussion and submission in the seminar that immediately follows.


Form of Submission

Weekly 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.


The marker will rate your submitted work (i.e. answers to problems + reflective journal entry) each week on the relevant point scale (or multiples of when a submission is for multiple weeks).


Problem-based:

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

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

2 = All work was attempted and the quality of the work is generally good.

3 = 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 during the discussion in seminar classes.


Once weekly assessment has been marked (typically before the seminar 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 Weekly Assessments but 2 pages is typical, depending on question(s) set.


Mandatory Assessment

Consider all weekly assessment as being mandatory (i.e. submission is expected), but non-submission of any will not result in a grade of NCN. You will have an opportunity to submit 10 pieces of weekly assessment to obtain the 30%, with each individual weekly assessment submission being worth 3%.


Please note that extensions for submission of weekly assessable 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 you will have conflicting commitments (hopefully early in the semester), discuss alternative assessment arrangement with the Course Convenor.


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


All requests for extensions to the submission deadline should be directed to the RSM Office - https://www.rsm.anu.edu.au/education/education-programs/notices-for-students/extension-application-procedure/

Assessment Task 2

Value: 10 %
Due Date: 04/03/2019
Return of Assessment: 31/05/2019
Learning Outcomes: 7

Reflective Journal (10 weeks x 1% per week)

Due Date

The weekly reflective journal entry work comprises 10% of your final course mark, with the first of 10 items being due in Week 2. A set of questions will be assigned for each week 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 week's questions will deal with the seminar material presented during that week or the previous week.


Form of Submission

Weekly 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.


The marker will rate your submitted work (i.e. answers to problems + reflective journal entry) each week on the relevant point scale (or multiples of when a submission is for multiple weeks).


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 is, 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 weekly reflective journal entry has been marked (typically before the seminar 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 Reflective Journal entry but 0.5 pages per weekly entry is a reasonable expectation. You will be provided with reflective writing support materials in the first week to explain what is expected.


Mandatory Assessment

Consider all weekly reflective journal entries as being mandatory (i.e. submission is expected), but non-submission of any will not result in a grade of NCN. You will have an opportunity to submit 10 pieces of weekly assessment to obtain the 10%, with each individual weekly assessment submission being worth 1%.


Please note that extensions for submission of weekly 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 you will have conflicting commitments (hopefully early in the semester), discuss alternative assessment arrangement with the Course Convenor.


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


All requests for extensions to the submission deadline should be directed to the RSM Office - https://www.rsm.anu.edu.au/education/education-programs/notices-for-students/extension-application-procedure/

Assessment Task 3

Value: 20 %
Due Date: 05/04/2019
Return of Assessment: 19/04/2019
Learning Outcomes: 1,2,3,4,5,6

Visualisation Report

The two assignments comprise the major components of the assessment for this course (20% + 40% = 60%). 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. The two assignments can be linked (but do not need to be) if you wish the major report to go into further detail about what you report in the visualisation assignment.


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 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).


There is no word limit but you will be given suggested page lengths.


Further details about the assignments will be provided during the first week of the course.


Due Date

The submissible work for the assignments are:

  • Visualisation report worth 20% due no later than the end of week 6 (Friday 5pm 29th March) of the course and, in it, you are to produce a small report demonstrating how data visualisation can be used by a real-life organisation.


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 the assignments are mandatory (i.e. submission is expected), but non-submission will not result in a grade of NCN.


All requests for extensions to the submission deadline should be directed to the RSM Office - https://www.rsm.anu.edu.au/education/education-programs/notices-for-students/extension-application-procedure/

Assessment Task 4

Value: 40 %
Due Date: 07/06/2019
Return of Assessment: 04/07/2019
Learning Outcomes: 1,2,3,4,5,6

Major Assignment - Final Report

The two assignments comprise the major components of the assessment for this course (20% + 40% = 60%). 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. The two assignments can be linked (but do not need to be) if you wish the major report to go into further detail about what you report in the visualisation assignment.


You, the student, are responsible for choosing what will be the target organisation(s) for your two assignments. As with INFS7007, 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).


There is no word limit but you will be given suggested page lengths.


Further details about the assignments will be provided during the first week of the course.


Due Date

The submissible work for the assignments are:

  • Major assignment final report worth 40% due no later than 5pm Friday, first week of exam period. It will be a large final report in case study format summarising how business analytics can be applied by a real-life organisation.


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 the assignments are mandatory (i.e. submission is expected), but non-submission will not result in a grade of NCN.


All requests for extensions to the submission deadline should be directed to the RSM Office - https://www.rsm.anu.edu.au/education/education-programs/notices-for-students/extension-application-procedure/

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 Online 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 weekly assessment or reflective journal tasks without an extension after the due date will be permitted. If a weekly 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.

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 Alexander Richardson
+61 2 612 59807
alex.richardson@anu.edu.au

Research Interests


  • Decision Support Systems
  • Human-Computer Interaction
  • Educational Technology And Computing
  • Digital Transformation
  • Virtual Reality Environments
  • Knowledgement Management & Sharing


Dr Alexander Richardson

Tuesday 11:00 12:00
Tuesday 11:00 12:00
Dr Alexander Richardson
+61 2 612 59807
alex.richardson@anu.edu.au

Research Interests


Dr Alexander Richardson

Tuesday 11:00 12:00
Tuesday 11:00 12:00

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