FIT2017 Computer models for decision making - Semester 2 , 2007
Unit leader :
Welcome to FIT2017 Computer models for decision making Semester 2, 2007. This 6 point unit is a core unit in the Bachelor of Business Information Systems degree at Monash University. The unit has been designed to prodvide you with an understanding of computer modelling techniques, such as linear programming and decision tree analysis, that can be used to aid the business decision maker understand, analyse and solve a wide range of business problems.
The objective of this unit is to introduce students to the quantitative modelling techniques commonly used by executives in decision making and the application of IT tools to real-world decision making situations. Techniques covered typically include decision making under uncertainty, linear and nonlinear programming, sequential decision making, forecasting, and simulation. Upon the completion of this unit, the students are expected to recognise a complex decision making situation and to build a corresponding quantitative model. They are also expected to solve the model by applying techniques covered in this unit, to interpret results and finally, to provide "analyst-type" recommendations. The unit includes extensive use of advanced modelling tools available in Microsoft Excel as well as some VBA programming.
(a) To acquire the Knowledge and Understanding of:
- Model building techniques
- Model solving techniques
- Model results presentation and interpretation
- The role of interactivity in decision modelling
- Popular and leading edge decision modelling tools
(b) To develop the following Attitudes, Values and Beliefs:
- Recognise the value of effective decision making within an organisation
- Adopt a critical approach to decision models and their use in a business context
- Appreciate the value of modelling and simulation as effective decision making tools
- Appreciate the limitations of formal decision models and the necessity of post-solution interpretation stage
- Appreciate the risks and benefits of interactive computer-centered decision making
(c) To develop the following Practical Skills:
- Create interactive decision models
- Interpret the results produced at model solving stage
- Select an appropriate decision modelling technique
- Assess model's limitations
- Analyse appropriateness of modelling environments
- Use Popular and leading edge decision modelling tools
(d) In addition, it is expected that the following Relationships, Communication and Team Work skills will be developed and enhanced:
- Document and communicate a decision model
- Communicate during, and coordinate the decision making life cycle
- 1 two-hour lecture
- 1 two-hour laboratory
- a minimum of 2-3 hours of personal study per one hour of contact time in order to satisfy the reading and assignment expectations.
Before attempting this unit you must have satisfactorily completed FIT1006 or BUS1100 or ETC1000, or equivalent. A sound knowledge of MS Excel is assumed.
FIT2017 is a core unit in the Bachelor of Business Information Systems.
You may not study this unit and ETC2480, ETC3480, ETC4348, ETF2480, ETF9480, GCO2802, MAT1097, BUS1110 in your degree.
Monash is committed to ‘Excellence in education' 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. Two of the formal ways that you are invited to provide feedback are through Unit Evaluations and through Monquest Teaching Evaluations.
One of the key formal ways students have to provide feedback is through Unit Evaluation Surveys. It is Monash policy for every unit offered to be 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.
The Faculty of IT administers the Unit Evaluation surveys online through the my.monash portal, although for some smaller classes there may be alternative evaluations conducted in class.
If you wish to view how previous students rated this unit, please go to http://www.monash.edu.au/unit-evaluation-reports/
Over the past few years the Faculty of Information Technology has made a number of improvements to its courses as a result of unit evaluation feedback. Some of these include systematic analysis and planning of unit improvements, and consistent assignment return guidelines.
Monquest Teaching Evaluation surveys may be used by some of your academic staff this semester. They are administered by the Centre for Higher Education Quality (CHEQ) and may be completed in class with a facilitator or on-line through the my.monash portal. The data provided to lecturers is completely anonymous. Monquest surveys provide academic staff with evidence of the effectiveness of their teaching and identify areas for improvement. Individual Monquest reports are confidential, however, you can see the summary results of Monquest evaluations for 2006 at http://www.adm.monash.edu.au/cheq/evaluations/monquest/profiles/index.html
Teaching and learning method
This is an on-campus unit. Students are required to attend lectures and tutorials (compulsory and attendance will be taken). Each lecture topic will be supported by tutorial exercises. It is expected that students spend at least additional 3-4 hours per week to study the lecturing material and prepare for tutorial exercises. Solutions to the tutorial exercises will be available following the tutorial.
Communication, participation and feedback
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.
||Introduction to modelling, Management Science and problem solving
||Ragsdale Chapter 1
||Introduction to Linear Programming and optimisation
||Ragsdale Chapter 2
||Ragsdale Chapter 3
||Ragsdale Chapter 4
||Ragsdale Chapter 6
||Winston Chapter 11
||Ragsdale Chapter 15
||Ragsdale Chapter 15
||Introduction to simulation
||Ragsdale Chapter 12
||Mid semester test
|Mid semester break
||Ragsdale Chapter 9
||Ragsdale Chapter 11
||Exam Preparation and revision
Prescribed text(s) and readings
Ragsdale CT (2005) Spreadsheet Modeling & Decision Analysis, 5th edition, Thomson 2007
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.
Recommended text(s) and readings
Anderson, D., Sweeney, D., Williams, T. Quantitative Methods for Business, 8th Edition (or latest edition), 2001, Thomson Learning. (Prescribed Additional Text).
Lapin LL and Whisler WD, "Quantitative Decision Making with Spreadsheet Applications", Seventh Editions, Duxbury Press, 2002
Savage S, "Insight Business Analysis Software", Thomson Learing, 2003
Winston WL, "Operations Research: Applications & Algorithms", 3rd edition, Duxbury Press, 2004
Winston WL and Albright SC, "Practical Management Science: Spreadsheet Modelling and Applications" Third Edition, Duxbury Press, 1997
Albright SC, Winston WL, and Zappe C, "Data Analysis and Decision Making with Microsoft Excel" Duxbury Press, 1999
Required software and/or hardware
Microsoft Office 2003 or later.
Equipment and consumables required or provided
Students may use the facilities available in the computing labs. Information about computer use for students is available from the ITS Student Resource Guide in the Monash University Handbook. You will need to allocate up to 6
hours per week for use of a computer, including time for newsgroups/discussion groups.
Study resources we will provide for your study are:
- Printed notes for each lecture.
- Tutorial worksheet and printed solutions for each lecture.
- Excel spreadsheets, other files, other applications as required.
- Selected solutions to exercises.
All downloadable from MUSO.
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. Be sure to obtain a copy of the Library Guide, and if necessary, the instructions for remote access from the library website.
Monash University Studies Online (MUSO)
All unit and lecture materials are available through the MUSO (Monash University Studies Online) site. You can access this site by going to:
- a) https://muso.monash.edu.au or
- b) via the portal (http://my.monash.edu.au).
Click on the Study and enrolment tab, then the MUSO hyperlink.
In order for your MUSO unit(s) to function correctly, your computer needs to be correctly configured.
For example :
- MUSO supported browser
- Supported Java runtime environment
For more information, please visit
You can contact the MUSO Support by: Phone: (+61 3) 9903 1268
For further contact information including operational hours, please visit
Further information can be obtained from the MUSO support site:
Unit assessment policy
Students must pass the examination and obtain a weighted average of all assessments greater than 50% to pass the unit.
Type ( open/closed book ) :
The assignment cover sheet can be downloaded from the Faculty of IT website:
University and Faculty policy on assessment
Due dates and extensions
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.
Requests for extensions must be made to the unit lecturer at your campus at least two days before the due date. You will be asked to forward original medical certificates in cases of illness, and may be asked to provide other forms of documentation where necessary. A copy of the email or other written communication of an extension must be attached to the assignment submission.
Assignments received later than one week after the due date will normally not be accepted.
Students 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/
We will aim to have assignment results made available to you within two weeks after assignment receipt.
Plagiarism, cheating and collusion
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 Student Rights and Responsibilities (http://www.infotech.monash.edu.au/about/committees-groups/facboard/policies/studrights.html) and the Faculty regulations that apply to students detected cheating as these will be applied in all detected cases.
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.
Register of counselling about plagiarism
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
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 and special consideration
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. Special consideration in the awarding of grades is also possible in some circumstances. 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.