This course approaches information systems from the executive and operational management perspective. It assumes a familiarity with the fundamentals of business and information systems from a technological point of view, as would be covered in a foundation course in this area. The emphasis of the course will be on understanding concepts, characteristics and factors, particularly from technological and non-technological perspectives, that are likely to impact the effectiveness and success of information systems in business environments. The aim of the course is therefore to provide students with a balanced view and deeper understanding of developing information systems strategy and managing information systems from organisational and technical perspectives so that they have a theoretically sound, but nevertheless practically oriented foundation, from which to successfully tackle information systems projects, initiatives and implementations.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Appraise BIS strategic planning and management principles, concepts, and theories;
- Demonstrate a critical understanding of BIS strategic planning and management theories and current quality research associated with the specific topics covered in this course;
- Apply evidence in formulating best practice BIS strategic planning and management analysis;
- Contrast internal and external dimensions of BIS strategic planning and management by applying appropriate theories, models, examples, and personalizations;
- Advocate effectively in oral and written forms about BIS strategic planning and management principles, concepts and theories, and their application using appropriate comparisons, logic, arguments, and reflections;
- Apply principled investigation and ethical judgment in best practice BIS strategic planning and management analysis, consistent with the ACS Code of Ethics;
- Assemble an applied BIS strategic planning and management team research project that formulates longer term BIS strategy and constructs medium-tactical term plans and technical solutions.
Research-Led Teaching
Research-led Teaching and Instruction: Students are encouraged to engage with contemporary management studies and literature, and the IT Body of Knowledge as part of their course participation and learning activities. ANU provides world class library facilities so that students have the best access to high quality peer reviewed literature: http://anulib.anu.edu.au/ (http://anulib.anu.edu.au/)
Practitioner-led Teaching and Instruction: Research led education is complemented with Practitioner led education within the course in the form of a strategically ‘pivoted’ ACS accredited capstone major team project, and the executive facilitated learning and assessment guidance workshops. Consistent with ACS accredited courses, these assessment and delivery artefacts are offered as opportunities for advanced learning through deeper engagement with executive experiences and behaviors in the context of IT professionalized practice. This is also presented as conduits for improving graduate employment search and placement potential.
Field Trips
Not applicable.
Additional Course Costs
Not applicable.
Examination Material or equipment
Not applicable.
Required Resources
Not applicable.
Recommended Resources
Course textbook is:
- Information Technology for Management (11th Edition or 12th Edition) - e-Book, Turban, Pollard and Wood, Wiley & Sons.
Course textbook is available on ANU library website as an e-resource. Other resources provided on course website.
Staff Feedback
Students will be given feedback in the following forms in this course:
- Written comments - assessments, emails, course website discussion boards
- Verbal comments - assessments, workshops, consults, face-to-face interactions
- 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
Support of students: The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/.
Class Schedule
| Week/Session | Summary of Activities | Assessment |
|---|---|---|
| 1 | Introduction
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Note: The exact timing of weekly content delivery may change depending on class progress and balancing of the course. |
| 2 | Organisational Planning
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Assessment 1 (A1): Quiz A |
| 3 | Architecture
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Assessment 1 (A1): Quiz B |
| 4 | IT Organisation
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Assessment 1 (A1): Quiz C |
| 5 | Data
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Assessment 1 (A1): Quiz DAssessment 2 - Digital Strategy Topic Video (A2) : due 23:59 on Wednesday |
| 6 | Investment
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Assessment 3 - Digital Strategy Topic Conversation (A3): schedule to be provided on Canvas |
| 7 | Infrastructure
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Assessment 1 (A1): Quiz EAssessment 5 - Digital Strategy Report (A5): Group Formation |
| 8 | Networks
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Assessment 1 (A1): Quiz F |
| 9 | Digital Technologies
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Assessment 1 (A1): Quiz G |
| 10 | Digital
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Assessment 1 (A1): Quiz H |
| 11 | Future
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Assessment 4 - Digital Strategy Planning Conversation (A4): schedule to be provided on Canvas. |
| 12 | Course Closure
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Assessment 5 - Digital Strategy Report (A5): due 23:59 on Thursday |
| 13 | No teaching / End of semester examination period | Assessment 6-Digital Strategy Learning Journal (A6): due 23:59 on the first Thursday of the Examination Period. |
Tutorial Registration
Not applicable
Assessment Summary
| Assessment task | Value | Due Date | Return of assessment | Learning Outcomes |
|---|---|---|---|---|
| Weekly Quizzes (Individual - 20% - HURDLE) | 20 % | * | * | 1,2,3,4 |
| Digital Strategy Topic Video (Individual - 15% - HURDLE) | 15 % | 25/03/2026 | 10/04/2026 | 1,2,3,4,5 |
| Digital Strategy Topic Conversation (Individual - 25% - HURDLE) | 25 % | * | 10/04/2026 | 1,2,3,4,5,6 |
| Digital Strategy Planning Conversation (Individual - 20% - HURDLE) | 20 % | 22/05/2026 | 29/05/2026 | 1,2,3,4,5,6,7 |
| Digital Strategy Report (Group - 5% - HURDLE) | 5 % | 28/05/2026 | 02/07/2026 | 2,3,4,5,6 |
| Digital Strategy Learning Journal (Individual - 15% - HURDLE) | 15 % | 04/06/2026 | 02/07/2026 | 1,2,3,4,5,6,7 |
* 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:- Student Assessment (Coursework) Policy and Procedure
- Special Assessment Consideration Policy and General Information
- Student Surveys and Evaluations
- Deferred Examinations
- Student Complaint Resolution Policy and Procedure
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
Recorded lectures (1 hour) and readings will be provided each week for students to complete before attending the weekly scheduled seminar (2 hours). Students will be required to engage in discussion and activities appropriate for that week's content within the seminar.
Resources, including core content, academic research articles, and other audio, visual, or textual resources, will be made available online through Canvas.
Students are encouraged to participate in lectures, seminars and tutorials. Attendance at the seminar, while not compulsory, is expected in line with “Code of Practice for Teaching and Learning”, clause 2 paragraph (b).
ASSESSMENT HURDLE: All assessments (i.e. a minimum of 1 weekly quiz attempt and all other assessments) must be attempted and submitted to be eligible for a passing final course grade. This is an assessment hurdle in line with the student assessment coursework policy (see https://policies.anu.edu.au/ppl/document/ANUP_004603). Assessments must be attempted and submitted so that an appropriate evaluation of the students' understanding and application of the learning objectives.
Examination(s)
Eight (8) in-class closed-book quizzes will be held via Canvas in Weeks 2,3,4,5,7,8,9,10 during seminars.
There are no formal examinations for this course during the examination periods.
Assessment Task 1
Learning Outcomes: 1,2,3,4
Weekly Quizzes (Individual - 20% - HURDLE)
Assessment HURDLE: At least one quiz must be attempted and submitted to be eligible to pass the course.
Description: A closed-book quiz will be held in class (via Canvas) each week from week 2 to week 5, and week 7 to week 10. The quiz will cover the material for the week in which it is set.
It is expected that you have watched the pre-recorded lecture and completed any provided readings before attending the seminar and attempting the quiz.
Seminar Attendance: You must be attending the seminar and have your presence recorded to attempt the quiz; anyone found completing the quiz who has not attended the seminar will have their results for that quiz set to 0.
Use of Artificial Intelligence: The quizzes for this course are closed-book, and the use of AI is not allowed during the quiz. Suppose you are found using AI in any quiz. In that case, you will be investigated for a potential breach of Academic Integrity Rule 2021, which may result in a mark of 0 for that quiz, a failing grade for the course, exclusion from the university, or other actions taken.
Due Date: During the seminar, each week in Weeks 2,3,4,5,7,8,9,10 (8 quizzes).
Extensions: This assessment is not eligible for extensions.
Late submissions: Late submissions are not accepted. If extenuating circumstances arise for a student, please submit a request for consideration of Extenuating Circumstances (ECA) via ANUHub.
Feedback: Marks will be provided at the end of each week. Students will thus receive feedback by 31 March. The question/answer sets will not be shared with the class, but students may request a consultation to review and discuss any/all quizzes.
Grade and Moderation: The top 6 quiz results (equally weighted) will be used to assess the grade; students can miss 2 quizzes without any penalty to their mark in this assessment.
Further Details: An assessment brief will be provided on Canvas two weeks prior to Week 1 of the semester.
Assessment Task 2
Learning Outcomes: 1,2,3,4,5
Digital Strategy Topic Video (Individual - 15% - HURDLE)
Assessment HURDLE: This assessment task must be attempted and submitted to be eligible to pass the course.
Description: You will create a video on a topic of your selection from those covered in the course in weeks 1 to 4. This video of no more than 5 minutes will present your individual examination of a topic in Digital Strategy. Your video will be well-grounded in the concepts discussed in the course and academic literature. You must demonstrate an effective use of relevant and good-quality academic literature.
Your work: Your video must include you, your face, and your voice. While other slides/animations (etc.) may include AI work, you, your face and your voice must be real.
Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table.
Style: Harvard Referencing (where applicable)
Time limit: 5 minutes only. Submissions with more than 5 minutes will be marked up to 5 minutes; any further work submitted will not be watched or marked.
Due date: 23:59 on Wednesday of Week 5 via the course Canvas site.
Feedback: Up to 10 working days after submission, excluding semester breaks.
Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case where AI tools are used, the student must do so in a way that is consistent with the ANU Academic Integrity principles for use of GenAI , as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.
Late submissions: Late submissions are not accepted. If extenuating circumstances arise for a student, please submit a request for consideration of Extenuating Circumstances (ECA) via ANUHub.
Linked Assessment: This assessment is linked with Assessment Task 3.
Further Details: An assessment brief will be provided on Canvas by Week 2 of the semester.
Assessment Task 3
Learning Outcomes: 1,2,3,4,5,6
Digital Strategy Topic Conversation (Individual - 25% - HURDLE)
Assessment HURDLE: This assessment task must be attempted and submitted to be eligible to pass the course.
Description: A conversation will be organised with a course assessor and the student. This conversation will cover topics covered in the course and then specific topics covered by the student in Assessment 2.
Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table.
Time limit: 10 minutes only. Conversations will be held at a set time during week 6, in place of a seminar. Conversations will be recorded.
Due date: Conversations will be scheduled for Week 6 via the course Canvas site.
Feedback: Feedback on the video (Assessment 2) and Conversation feedback will be provided during the conversation and via Canvas.
Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case where AI tools are used, the student must do so in a way that is consistent with the ANU Academic Integrity principles for use of GenAI , as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.
Inability to attend: All students are to complete the conversation as scheduled. If extenuating circumstances arise for a student, please submit a request for consideration of Extenuating Circumstances (ECA) via ANUHub.
Linked Assessment: This assessment is linked with Assessment Task 2.
Further Details: An assessment brief will be provided on Canvas by Week 2 of the semester.
Assessment Task 4
Learning Outcomes: 1,2,3,4,5,6,7
Digital Strategy Planning Conversation (Individual - 20% - HURDLE)
Assessment HURDLE: This assessment task must be attempted and submitted to be eligible to pass the course.
Description: During the seminar in WEEK 11, you will have a 7–10-minute conversation with a marker about your Plan for developing a Digital Strategy. During this conversation, you will answer questions about your expectations for tools, techniques, theories, and methods for developing a Digital Strategy. Conversations will be video recorded, which will enable later validation and verification of the assessment if required (in accordance with point 7 in the ANU Student Assessment (Coursework) policy)
It is expected that you have prepared for this conversation, with detailed plans of how you will address the criteria and how you will approach assessments 5 and 6.
Marking criteria: Conversations will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table and as advised in the Assessment Brief.
Due date: You will be provided a timeslot during the seminar time during Week 11 to attend and have your conversation.
Feedback: You will be provided feedback as part of the conversation, and marks will be provided before Assessments 5 and 6 are due.
Length: Conversations will be stopped at 10 minutes.
Specific use of Artificial Intelligence (AI) Tools: It is expected that you will discuss how you will use AI in the completion of Assessment 6.
General Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case where AI tools are used, the student must do so in a way that is consistent with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.
Inability to attend: All students are to complete the conversation as scheduled. If extenuating circumstances arise for a student, please submit a request for consideration of Extenuating Circumstances (ECA) via ANUHub.
Linked Assessment: This assessment is linked with Assessment Tasks 5 and 6.
Further Details: An assessment brief will be provided on Canvas in Week 6 of the semester.
Assessment Task 5
Learning Outcomes: 2,3,4,5,6
Digital Strategy Report (Group - 5% - HURDLE)
Assessment HURDLE: This assessment task must be attempted and submitted to be eligible to pass the course.
Description: This report will be the digital strategy that you have compiled following your plan in A4. This is a group assignment that will be completed with other students; you will be expected to work in a team as directed.
Groups: Groups will be formed during weeks 7 and 8. No individual assessments will be considered.
Group allocation: You will be assigned to a group. Once you have been assigned to a group, it will be your responsibility to contact and discuss the requirements of the assessment and bring any concerns to the course convenor(s) as soon as possible.
Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table and assessment brief.
Style: Harvard Referencing (where applicable)
Mark Allocation: A group contribution form will be used to adjust marks within a band, with the default that all marks will be equally shared by all group members.
Due date: 23:59 on Thursday of Week 12, via the course Canvas site.
Feedback: Mark and feedback will be returned when final grades are released.
Length: A minimum of 20 and a maximum of 40 pages will be submittable (Including cover page, strategy, bibliography, and appendices). Documents that are submitted with more than 40 pages, anything beyond 40 pages will not be read or marked.
Specific use of Artificial Intelligence (AI) Tools: It is expected that you will use AI in the completion of this assessment. Any and all AI or other tools are permitted for this assessment.
General Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case where AI tools are used, the student must do so in a way that is consistent with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.
Late submissions: Late submissions are not accepted. If extenuating circumstances arise for a student, please submit a request for consideration of Extenuating Circumstances (ECA) via ANUHub.
Linked Assessment: This assessment is linked with Assessment Tasks 4 and 6.
Further Details: An assessment brief will be provided on Canvas by Week 6 of the semester.
Assessment Task 6
Learning Outcomes: 1,2,3,4,5,6,7
Digital Strategy Learning Journal (Individual - 15% - HURDLE)
Assessment HURDLE: This assessment task must be attempted and submitted to be eligible to pass the course.
Description: This journal includes your prompts, insights, and learning process developed in using the tools to produce your Assessment Task 5 Digital Strategy with your team, following your plan described during the Assessment Task 4 Digital Strategy Planning Conversation.
Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table and assessment brief.
Style: Harvard Referencing (where applicable)
Due date: 23:59 on Thursday of the first week of exam period, via the course Canvas site.
Feedback: Mark and feedback will be returned when final grades are released.
Size: 15 pages; anything beyond 15 pages will not be read or marked.
Appendix: The entire chat logs of all uses of AI for this (AT4, AT5, and AT6) should be attached as an appendix. There is no word or page limit for this appendix.
Specific use of Artificial Intelligence (AI) Tools: It is expected that you will discuss how you have used all tools, including AI, in the completion of Assessment Task 6.
General Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case where AI tools are used, the student must do so in a way that is consistent with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.
Linked Assessment: This assessment is linked with Assessment Tasks 4 and 5.
Further Details: An assessment brief will be provided on Canvas by Week 6 of the semester.
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
Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:
- Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
- Assessment Tasks 1, 2, 3, 4 & 5 do not permit late submission.
- Late submission permitted. Late submission of 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.
- Assessment Task 6 does permit late submission.
All requests for Assessment Adjustment (including Requests for Extension and for Consideration of Extenuating Circumstances) should be submitted via ANUHub .
Referencing 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 Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Canvas’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.
Returning Assignments
All assignments will be marked and where appropriate, as noted below in the feedback section of this summary, student feedback will be provided either in:
• Written comments
• Verbal comments
• Feedback to the whole class, to groups, to individuals, focus groups
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
You are allowed to resubmit your assignments before the specific deadlines. Any submission done after the deadline will be considered as a late submission and the above listed penalty conditions will apply.
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).- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
Convener
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Research InterestsBusiness information systems, Project Management, Digital Strategy |
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Simon Thompson
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Instructor
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Research Interests |
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Simon Thompson
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