ASCED Code 020399 IS not elsewhere classified
Financial Modelling using modern computer tools. The subject covers both financial theory and modelling and includes computer modelling methodology, DCF analysis, risk measurement, shareholder value analysis, spreadsheet modelling, capital budgeting, project management, optimal capital budgets, short-term planning and financing, accounts receivable and inventory, statement analysis and forecasting.
At the end of this unit, participants will:
1. Understand the core foundations of finance, as appropriate to key financial analysis and decision making;
2. Understand the core technologies which support financial analysis and decision making;
3. Understand the quantitative techniques supporting financial analysis and decision making;
4. Be able to apply the technologies and techniques to financial issues;
5. Be able to analyse financial issue solution requirements and select appropriate technical and quantitative decision aids;
6. Be able to interpret outputs from quantitative and technology based finance tools to aid in decision making.
FIT9004
, or equivalent.FIT5159 is a core unit in the Business Systems professional track of the MBIS degree, and an elective unit for the MBIS and other postgraduate courses within the Faculty of IT.
Before attempting this unit you must have satisfactorily completed
FIT9004
or equivalent.You may not study this unit and
BUS5003 (previous MBT unit)
in your degree.Monash is committed to ‘Excellence in education’ (Monash Directions 2025 - http://www.monash.edu.au/about/monash-directions/directions.html) and strives for the highest possible quality in teaching and learning.
To monitor how successful we are in providing quality teaching and learning Monash regularly seeks feedback from students, employers and staff. One of the key formal ways students have to provide feedback is through Unit Evaluation Surveys. The University’s Unit Evaluation policy (http://www.policy.monash.edu/policy-bank/academic/education/quality/unit-evaluation-policy.html) requires that every unit offered is evaluated each year. Students are strongly encouraged to complete the surveys as they are an important avenue for students to “have their say”. The feedback is anonymous and provides the Faculty with evidence of aspects that students are satisfied and areas for improvement.
Faculties have the option of administering the Unit Evaluation survey online through the my.monash portal or in class. Lecturers will inform students of the method being used for this unit towards the end of the semester.
Contact hours : 3:00 - 5.00 pm Thursday
Contact hours : 3.00 - 5.00 pm Thursday
Vincent.lee@infotech.monash.edu.au
zlia2@student.monash.edu
mehranvahid@yahoo.com
Monash aims to provide a learning environment in which students receive a range of ongoing feedback throughout their studies. You will receive feedback on your work and progress in this unit. This may take the form of group feedback, individual feedback, peer feedback, self-comparison, verbal and written feedback, discussions (on line and in class) as well as more formal feedback related to assignment marks and grades. You are encouraged to draw on a variety of feedback to enhance your learning.
It is essential that you take action immediately if you realise that you have a problem that is affecting your study. Semesters are short, so we can help you best if you let us know as soon as problems arise. Regardless of whether the problem is related directly to your progress in the unit, if it is likely to interfere with your progress you should discuss it with your lecturer or a Community Service counsellor as soon as possible.
| Week | Topic | Key dates |
|---|---|---|
| 1 | Introduction and Financial Statement Analysis | 5 Mar (11;00 am - 1:00pm) |
| 2 | Capital Budgetting (spreadsheet modelling) | 10 Mar (Tuesday, 5:00 pm to 7:00 pm, lecture theatre R3) |
| 3 | Financial Processes (System Dynamics Fundamentals) | 19 Mar (11:00 am to 1:00pm) |
| 4 | System Dynamics Modelling Examples | 26 Mar (11:00 am to 7:00 pm) |
| 5 | Financial Benchmarking Techniques and tools | 2 Apr (11:00 pm to 1:00 pm) |
| 6 | Real Options and Project valuations | 9 Apr (11:00 am to 1:00 pm) |
| Mid semester break | ||
| 7 | Financial clustering/classifications methods | 21 Apr (Tuesday, 5:00 pm to 7:00 pm) lecture theatre R3 |
| 8 | Financial Clustering/classification problems and solution tools | 30 Apr (11:00 am to 1:00 pm) |
| 9 | Financial forecasting (statistical and machine learning approach) | 7 May (11:00 am to 1:00 pm) |
| 10 | Some samples with empirical result | 15 May (11:00 am to 1:00pm) |
| 11 | Capital Structure Decision Basic | 22 May (11:00 am to 1:00 pm) |
| 12 | Capital structure Decision extension | 29 May (11:00 am to 1:00 pm) |
| 13 | Revision | 4 June (11:oo am to 1:00 pm) |
Bringham E F & Ehrhardt, M.C. (2008), "Finance Management-Theory and Practice" (12th Edition), Thomson South-western, ISBN-13: 978-0-324-42269-6
Text books are available from the Monash University Book Shops. Availability from other suppliers cannot be assured. The Bookshop orders texts in specifically for this unit. You are advised to purchase your text book early.Bringham E F & Ehrhardt, M.C. (2008), "Finance Management-Theory and Practice" (12th Edition), Thomson South-western, ISBN-13: 978-0-324-42269-6
The following softwares are useful tools to carry out laboratory tasks
Excel Spreadsheet and Crystal Ball
MATLAB version 7.1
Neuroshell version 2
Viscovery SOMINE
Study resources we will provide for your study are:
The Monash University Library site contains details about borrowing rights and catalogue searching. To learn more about the library and the various resources available, please go to http://www.lib.monash.edu.au.
The Educational Library and Media Resources (LMR) is also a very resourceful place to visit at http://www.education.monash.edu.au/library/
The Monash University Library site contains details about borrowing rights and catalogue searching. To learn more about the library and the various resources available, please go to http://www.lib.monash.edu.au.All unit and lecture materials are available through MUSO (Monash University Studies Online). Blackboard is the primary application used to deliver your unit resources. Some units will be piloted in Moodle. If your unit is piloted in Moodle, you will see a link from your Blackboard unit to Moodle (http://moodle.monash.edu.au) and can bookmark this link to access directly. In Moodle, from the Faculty of Information Technology category, click on the link for your unit.
You can access MUSO and Blackboard via the portal: http://my.monash.edu.au
Click on the Study and enrolment tab, then Blackboard under the MUSO learning systems.
In order for your Blackboard unit(s) to function correctly, your computer needs to be correctly configured.
For example:
For more information, please visit: http://www.monash.edu.au/muso/support/students/downloadables-student.html
You can contact the MUSO Support by phone : (+61 3) 9903 1268
For further contact information including operational hours, please visit: http://www.monash.edu.au/muso/support/students/contact.html
Further information can be obtained from the MUSO support site: http://www.monash.edu.au/muso/support/index.html
Title : Assigment Tasks - Hands on practical problem solving
Description :
Task 1- Capital Budgetting Spread sheet modelling
Task 2 - Discounted Cash flow and cash flow estimation
Task 3- Benchmarking using Envelope Analysis
Task 4 - System dynamics modelling problem
Task 5 - visualisation of self organising Map for financial clustering (beta criteria)
Task 6 - Modelling of operational risk in financial institutions (Fuzzy neuro inference System)
Weighting : 10% for first task; 15% each for tasks 2 to 6; tasks 5 and 6 are optional.
Criteria for assessment :
Laboratory demonstration with oral presentation (inclusive of Q & A) during laboratory classes (continuous assessment). Students are expected to have at least 6 hours of prior preparation for each task.
This is a group assignment and final assignment marks are based on first task (10%) and best two other tasks (15% each) i.e. the final total assignment mark will be out of the total score of 40%.
Due date : At least three out of six tasks must be completed by last laboratory session (wk 13)
Weighting : 60 %
Length : 2 hours
Type ( open/closed book ) : Closed book
Remarks ( optional - leave blank for none ) :
Assignment are assessed on continuous basis. On average each task must be completed and assessed by one week after the following laboratory session. All task assignment must be submitted in hard and electronic copies with duly signed assignment cover sheet.
Each group task report should be of not less than 2400 words length with each member of the group (of 2 to 4 students) contributes at least 600 words of the writeup. The group task report will be graded according to:
1) Technical content (problem formulation and solutions approach) (40%)
2) Discussion of results (40%)
3) Conclusion and further works recommended (10% each)
Note that prior approval from the lecturer must be obtained for student who wishes to work alone.
The due dates for the submission of assignments are given in the previous section. Please make every effort to submit work by the due dates. It is your responsibility to structure your study program around assignment deadlines, family, work and other commitments. Factors such as normal work pressures, vacations, etc. are seldom regarded as appropriate reasons for granting extensions. Students are advised to NOT assume that granting of an extension is a matter of course.
No extension of hands on assignment task is permittedStudents can expect assignments to be returned within two weeks of the submission date or after receipt, whichever is later.
Assessment for the unit as a whole is in accordance with the provisions of the Monash University Education Policy at http://www.policy.monash.edu/policy-bank/academic/education/assessment/
Only on very exceptional situation, all hands on task assessment must be completed by wk 13.Plagiarism and cheating are regarded as very serious offences. In cases where cheating has been confirmed, students have been severely penalised, from losing all marks for an assignment, to facing disciplinary action at the Faculty level. While we would wish that all our students adhere to sound ethical conduct and honesty, I will ask you to acquaint yourself with the University Plagiarism policy and procedure (http://www.policy.monash.edu/policy-bank/academic/education/conduct/plagiarism-procedures.html) which applies to students detected plagiarising.
In this University, cheating means seeking to obtain an unfair advantage in any examination or any other written or practical work to be submitted or completed by a student for assessment. It includes the use, or attempted use, of any means to gain an unfair advantage for any assessable work in the unit, where the means is contrary to the instructions for such work.
When you submit an individual assessment item, such as a program, a report, an essay, assignment or other piece of work, under your name you are understood to be stating that this is your own work. If a submission is identical with, or similar to, someone else's work, an assumption of cheating may arise. If you are planning on working with another student, it is acceptable to undertake research together, and discuss problems, but it is not acceptable to jointly develop or share solutions unless this is specified by your lecturer.
Intentionally providing students with your solutions to assignments is classified as "assisting to cheat" and students who do this may be subject to disciplinary action. You should take reasonable care that your solution is not accidentally or deliberately obtained by other students. For example, do not leave copies of your work in progress on the hard drives of shared computers, and do not show your work to other students. If you believe this may have happened, please be sure to contact your lecturer as soon as possible.
Cheating also includes taking into an examination any material contrary to the regulations, including any bilingual dictionary, whether or not with the intention of using it to obtain an advantage.
Plagiarism involves the false representation of another person's ideas, or findings, as your own by either copying material or paraphrasing without citing sources. It is both professional and ethical to reference clearly the ideas and information that you have used from another writer. If the source is not identified, then you have plagiarised work of the other author. Plagiarism is a form of dishonesty that is insulting to the reader and grossly unfair to your student colleagues.
The university requires faculties to keep a simple and confidential register to record counselling to students about plagiarism (e.g. warnings). The register is accessible to Associate Deans Teaching (or nominees) and, where requested, students concerned have access to their own details in the register. The register is to serve as a record of counselling about the nature of plagiarism, not as a record of allegations; and no provision of appeals in relation to the register is necessary or applicable.
The Faculty of Information Technology is committed to the use of non-discriminatory language in all forms of communication. Discriminatory language is that which refers in abusive terms to gender, race, age, sexual orientation, citizenship or nationality, ethnic or language background, physical or mental ability, or political or religious views, or which stereotypes groups in an adverse manner. This is not meant to preclude or inhibit legitimate academic debate on any issue; however, the language used in such debate should be non-discriminatory and sensitive to these matters. It is important to avoid the use of discriminatory language in your communications and written work. The most common form of discriminatory language in academic work tends to be in the area of gender inclusiveness. You are, therefore, requested to check for this and to ensure your work and communications are non-discriminatory in all respects.
Students with disabilities that may disadvantage them in assessment should seek advice from one of the following before completing assessment tasks and examinations:
Deferred assessment (not to be confused with an extension for submission of an assignment) may be granted in cases of extenuating personal circumstances such as serious personal illness or bereavement. Information and forms for Special Consideration and deferred assessment applications are available at http://www.monash.edu.au/exams/special-consideration.html. Contact the Faculty's Student Services staff at your campus for further information and advice.