Required texts

 Saunders, A., Cornett, M., and Erhemjamts, O. 2021, Financial Institutions Management: A Risk Management Approach, McGraw Hill, 10th edition.

ISBN10: 1260013820. The book is available through ProQuest database of the library.

Submission of assessment items

Extensions & Late submissions

Where possible, all assessment items will be submitted online via the teaching site in P站视频Learn. The first page of each assessment item should include the following information:

• Student ID number:
• Assessment Name:
• Word Count (if applicable):

Students' names are not to be included on any assessment tasks/submission. Only Student ID numbers should be included (as per the Assessment Policy and Assessment Procedures).

Assessment items must be submitted to the assignment area in the unit's P站视频Learn site, relating to that piece of assessment. It is the student's responsibility to upload the correct assessment item, to the right submission section.

Late submissions will only be accepted for a limited period. If more than one late submission is made within that period, only the first late submission will be accepted for marking and may be subject to penalties as detailed in the Assessment Procedures.

Extensions

Students can apply for an extension to the submission due date for an assessment item through extenuating, evidenced circumstances (specific details are found in the Assessment Procedures). Extensions must be applied for before the due date. Documentary evidence (e.g. medical certificate) will be expected for an extension to be granted, however this will not guarantee that the application will be successful. The Unit Convener or relevant Program Director will decide whether to grant an extension and the length of the extension.

An Assignment Extension form is available from the  page.

Late submission of assignments without an approved extension will result in a penalty of 5% reduced marks from the total available, per calendar day late. An assignment submitted over 7 days late will not be accepted.

Special assessment requirements

You will obtain a pass or better in this unit if you submit each assessment item, and achieve a final cumulative mark of at least 50 percent.

Use of AI is not permitted in this unit

The University's position is that artificial intelligence services must not be used for assessment or assessment preparation by students unless explicitly allowed in the assessment instructions for an assessment task published with the assessment task and/or in the unit outline. That is, an AI service may only be used if:

a) its use is authorised by the unit convener as part of the specified task; and

b) it is used in the way allowed in the assessment instructions and/or unit outline; and

c) its use is appropriately referenced, meaning that the students must reference the use of AI in their assessment in the same way as they reference other source material.

The use of AI has not been specified in the assessment instructions for the unit or in the unit outline and thus, AI is not a permissible resource. 

Academic integrity

Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.

To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within P站视频Learn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the .

Use of Text-Matching Software

The P站视频 uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.

Participation requirements

Active engagement in all online modules enhances your learning and is strongly advised. Unless specifically stated in the unit outline, there is no mandatory attendance requirement. However, you may elect to attend timetabled activities, as they allow you to ask 'real time' questions to develop your understanding for the relevant assessment tasks.

Required IT skills

Use of calculators, computer, web searching skills and familiarity with excel spreadsheet modelling is required.

Work placement, internships or practicums

Nil

• Semester 2, 2024, Online, P站视频 - Canberra, Bruce (227682)
• Semester 2, 2024, On-Campus, P站视频 - Canberra, Bruce (227681)