UNIT OUTLINE

UNIT OUTLINE
UNIT OUTLINE
Read this document to learn essential details about your unit. It will
also help you to get started with your studies.
BEA140
Quantitative Methods
Semester 2, 2014
THIS UNIT IS BEING OFFERED:
BY FLEXIBLE DELIVERY
Mr Tuo Li
CRICOS Provider Code: 00586B
BEA140, Quantitative Methods
2
Contents
Contact Details ........................................................................................................................................ 2
Unit Description ...................................................................................................................................... 3
Prior Knowledge &/or Skills OR Pre-Requisite Unit(s) ............................................................................ 3
Enrolment in the Unit ............................................................................................................................. 3
When does the unit commence? ............................................................................................................ 3
Intended Learning Outcomes and Generic Graduate Attributes for BEA140......................................... 4
Learning Expectations and Teaching Strategies/Approach .................................................................... 6
Learning Resources ................................................................................................................................. 6
Technical requirements for MyLO ...................................................................................................... 7
Student Feedback via eVALUate ............................................................................................................. 9
Details of Teaching Arrangements .......................................................................................................... 9
Assessment ........................................................................................................................................... 12
Submission of Assessment Items .......................................................................................................... 16
Review of Assessment and Results ....................................................................................................... 17
Further Support and Assistance ............................................................................................................ 18
Academic Misconduct and Plagiarism .................................................................................................. 19
Study Schedule ...................................................................................................................................... 20
Tutorial & Workshop Schedule ............................................................................................................. 22
Contact Details
Distance Lecturer: Tuo Li
Campus:
Flexible Delivery
Room Number: N/A
Email:
[email protected]
Phone: N/A
Consultation: Via Email
BEA140, Quantitative Methods
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Unit Description
BEA140 Quantitative Methods is a foundation unit in business statistics and the mathematics of
finance and is a compulsory unit in the Bachelor of Economics (BEc) and Bachelor of Business (BBus)
degrees. It is also a nominated elective in a wide range of other programs throughout the University
of Tasmania.
This unit is intended to provide a background capacity in mathematics of finance and statistical
description and analysis, appropriate for a business student. The focus of the unit is on the practical
use of data in a business/economic decision environment, especially in an environment of risk and
uncertainty. It does not aim to produce experts in analysis and research.
By studying a variety of examples based on real world problems, the unit highlights the application
of quantitative methodologies to assist managers and decision makers in dimensioning and
communicating risks and opportunities.
Prior Knowledge &/or Skills OR Pre-Requisite Unit(s)
BEA140 Quantitative Methods has a formal pre-requisite of either;
•
•
TCE Mathematics Applied, Mathematics Stage 2 (or equivalent), or
Either TCE MAP5C Mathematics Applied, OR a higher level Mathematics subject OR
equivalent studies as accepted by the School of Economics and Finance and/or by the
Faculty of Business OR a bridging mathematics unit (Either UPP090 or BEA109)
A basic proficiency in English language skills and basic calculator skills are assumed.
Enrolment in the Unit
Unless there are exceptional circumstances, students should not enrol in this unit after the end of
week two of semester, as the Tasmanian School of Business and Economics (TSBE) cannot guarantee
that:
•
•
any extra assistance will be provided by the teaching team in respect of work covered in the
period prior to enrolment; and
penalties will not be applied for late submission of any piece or pieces of assessment that were
due during this period.
When does the unit commence?
Lectures commence in the week beginning Monday 14 July.
Workshops commence in the week beginning Monday 21 July.
Optional (remedial) tutorials commence in the week beginning Monday 4 August.
All key material for the unit will be available on MyLO in the week beginning Monday 7 July. (This
includes all lecture outlines, major and make-up assignments, workshop exercises and solutions,
module practice exercises and answers, previous exams and solutions.)
BEA140, Quantitative Methods
Intended Learning Outcomes and Generic Graduate Attributes for BEA140
INTENDED LEARNING OUTCOMES
4
ASSESSMENT METHODS
GRADUATE ATTRIBUTE OUTCOMES
The assessments and teaching activities in this
unit have been designed to develop the
following graduate attributes in students.
In this unit you will learn:
In assessing this unit I will be looking at your ability to:
Learning Outcome 1
Identify and evaluate a variety of simple annuity (and
simpler) problem scenarios.
Major assignment, final exam,
online test 1 and mid-semester
test.
Deal with common complications such as changes of
interest rate, missed payments and partial payments.
Major assignment, final exam,
online test 1 and mid-semester
test.
Construct sinking fund and amortization tables.
Major assignment, final exam,
online test 1 and mid-semester
test.
An understanding of the basic
concepts of the time valuation
of money, and be able to apply
these concepts to common
situations in business/personal
finance.
Learning Outcome 2
To demonstrate sound practices
in sampling, data description
and presentation in a business
environment.
To apply basic probability
concepts and probability
distributions as an aid to
business decision making.
Basic, broad subject knowledge.
Ability to apply knowledge to simple business
situations.
Ability to recognise complex situations that are
beyond the scope of your practice.
Communication:
Written communication skills at a sufficient level
to clearly articulate quantitative information,
explanations and interpretations to
peers/managers/academics.
Correctly use terminology.
Major assignment and final
exam.
Construct appropriate and well labeled charts.
Major assignment and final
exam.
Evaluate and interpret summary measures.
Major assignment, final exam
and mid-semester test.
Problem-solving:
Major assignment and final
exam.
Ability to identify and use needed information.
Identify and describe deficiencies in sampling schemes.
Learning Outcome 3
Knowledge:
Identify and evaluate marginal, joint and conditional
probabilities.
Major assignment, final exam,
online test 2.
Determine and interpret expectations.
Major assignment, final exam,
online test 2.
Identify the probability distribution appropriate to a
problem and evaluate probabilities.
Major assignment, final exam,
online test 2.
Ability to use appropriate summary and
graphical devices as an aid to communication.
Ability to think logically and use models and
methods to analyse and quantify business issues.
Ability to work effectively with others.
Global Perspective:
Familiarity with globally accepted nomenclature
and methodologies.
Social Perspective:
Meeting the ethical requirements of University
study.
BEA140, Quantitative Methods
INTENDED LEARNING OUTCOMES
5
ASSESSMENT METHODS
In this unit you will learn:
In assessing this unit I will be looking at your ability to:
Learning Outcome 4
Determine and interpret p-values.
Final exam and online test 2.
Construct and interpret confidence intervals.
Final exam.
Perform and interpret appropriate hypothesis tests.
Final exam and questions on
make-up assignment.
Determine required sample sizes.
Final exam.
Determine and interpret Pearson and Spearman
correlation coefficients.
Major assignment, final exam
and mid-semester test.
Perform OLS regression, and interpret key statistics.
Major assignment, final exam,
and mid-semester test.
Interpret an Excel regression printout.
Major assignment and final
exam.
To use sample information to
draw conclusions about
properties of populations from
which samples are drawn.
Learning Outcome 5
Quantify an association
between two variables, explain
variation and improve
prediction.
Identify and describe common errors in bi-variate methods Major assignment and final
including extrapolation, and ascribing causation.
exam.
Learning Outcome 6
To apply generic quantitative
problem solving skills.
Extract key information from a problem scenario.
Major assignment, final exam,
make-up assignment.
Select appropriate methodology, stating any assumptions
required, and using a logical and structured approach.
Major assignment, final exam,
make-up assignment.
Select, populate, and evaluate appropriate formulae.
Major assignment, final exam,
make-up assignment.
Present and interpret answers and apply ‘sanity tests’.
Major assignment, final exam,
make-up assignment.
GRADUATE ATTRIBUTE OUTCOMES
BEA140, Quantitative Methods
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Learning Expectations and Teaching Strategies/Approach
The University is committed to a high standard of professional conduct in all activities, and holds its
commitment and responsibilities to its students as being of paramount importance. Likewise, it
holds expectations about the responsibilities students have as they pursue their studies within the
special environment the University offers. The University’s Code of Conduct for Teaching and
Learning states:
Students are expected to participate actively and positively in the teaching/learning
environment. They must attend classes when and as required, strive to maintain steady
progress within the subject or unit framework, comply with workload expectations, and
submit required work on time.
In addition, students should seek to contact their lecturer as soon as possible if they become subject
to circumstances (sickness, for example) that may jeopardize their ability to complete an assessment
activity on time.
Work, Health and Safety (OH&S)
The University is committed to providing a safe and secure teaching and learning environment. In
addition to specific requirements of this unit you should refer to the University’s policy at:
www.utas.edu.au/work-health-safety.
Learning Resources
Prescribed Text
A prescribed text is a resource that you must have access to for the purposes of studying this unit.
There are no prescribed texts for this unit. Detailed lecture overviews for Modules 1 to 4 are
available via MyLO. Additional material will also be available on MyLO.
Recommended Texts
A recommended text is a resource that you can use to broaden your understanding of the topics covered in this unit. You
may also find a recommended text helpful when conducting research for assignments.
Some students may find it useful to consult alternative references as part of their study program.
Students may wish to take advantage of one of these as an additional source of worked examples,
and for an alternate presentation of the material. The study schedule refers to readings from the
following five references:
•
•
•
•
•
Aczel, A 2007, Complete business statistics, 6th edn, McGraw-Hill, Noida.
Berenson, M, Levine, D& Krehbiel, T 2012, Basic business statistics, 12th edn, Prentice Hall,
New Jersey
Croucher, J 2001, Statistics: making business decisions, McGraw-Hill, Maidenhead.
Selvanathan et al 2014, Business statistics – abridged : Australia New Zealand, 6th edn,
Cengage, Sydney.
Waters, D 2011,Quantitative methods for business, 5th edn, Prentice Hall, Edinburgh Gate.
BEA140, Quantitative Methods
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NB – Other editions of thesereferences are also accpetable. Students should note that notation may
vary between references, and that in some cases even different formulae may be used. Students
should not concern themselves with any material covered in these references that is beyond what is
covered by the lecture notes. In all cases, the lecture notes should be considered the primary
reference for any topic.
Other Recommended Resources
CALCULATORS
It is essential to have a calculator with minimal abilities to take square roots, raise to powers and
with a memory. It is advantageous, but not necessary, to have a calculator with basic inbuilt
statistical functions. It is possible to obtain a machine for less than $30 that will suffice. If in doubt,
check with a tutor. It is essential that students are competent in basic calculator operation. It is
probably wise to avoid buying a second hand calculator if the original owner has lost the instruction
manual.
MICROSOFT EXCEL
Students will be shown how to use Excel as a computational tool in several parts of the unit. The
ability to interpret a standard Excel regression output is examinable, but beyond this the acquisition
of Excel skills is not examinable. However, many students may find Excel a quick and convenient way
to check their calculations in assignments and practice problems. Spreadsheet skills are very
transferable, both to other subjects and to the workplace.
My Learning Online (MyLO)
Access to the MyLO online learning environment unit is required for this unit. The unit has its own
MyLO site.
To log in to MyLO and access this unit, go to: http://www.utas.edu.au/learning-teaching-online .To
access the unit, select BEA140. These instructions will help you to log in for the first time.
For help using MyLO go to http://www.utas.edu.au/learning-teaching-online.
Technical requirements for MyLO
For help and information about setting up your own computer and web browser for MyLO, see:
http://uconnect.utas.edu.au/
While on campus, you can access the University network and MyLO via a laptop computer or other
mobile device. See: http://uconnect.utas.edu.au/uana.htm
MyLO can be accessed via Library computers and in computer labs on campus. See:
http://www.utas.edu.au/it/computing-distributed-systems/computer-labs-facilities-and-locations
For further technical information and help, contact the UTAS Service Desk on 6226 1818 or at
http://www.utas.edu.au/service-desk during business hours.
Learning to use MyLO
When you login to MyLO, you will see a unit called Getting Started with MyLO. Enter the unit to
learn more about MyLO and to practice using its features.
BEA140, Quantitative Methods
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MyLO Expectations
1.
Students are expected to maintain the highest standards of conduct across all modes of
communication, either with staff or with other students. Penalties may be imposed if the Unit
Coordinator believes that, in any instance or mode of communication, your language or
content is inappropriate or offensive. MyLOis a public forum. Due levels of respect,
professionalism and high ethical standards are expected of students at all times.
2.
Submission of assessment tasks via MyLO presumes that students have read, understood and
abide by the requirements relating to academic conduct, and in particular, those requirements
relating to plagiarism. All work submitted electronically is presumed to be “signed-off” by the
student submitting as their own work. Any breach of this requirement will lead to student
misconduct processes.
3.
MyLO is an Internet service for teaching and learning provided by the University. It is
expected that you check your units in MyLO for updates at least once a day.
Using MyLO for BEA140
IMPORTANT!:Before you are provided with access to your unit’s MyLO resources, you must
complete the Student Agreement form. To do this:
1. Access the unit’s MyLO site.
2. Locate the Begin Here folder and click on it to open it. You can find the Begin Here folder by
scrolling down until you see Content Browser OR by clicking on the Content button.
OR
3. Once you have opened the Begin Here folder, click on the Student Agreement file.
OR
4. Read the terms, then check theI agreebox. You should now be able to access all available
unit content on MyLO. You only need to do this once in each MyLO unit.
BEA140, Quantitative Methods
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Student Feedback via eVALUate
At the conclusion of each unit students will be asked to provide online responses to a number of
matters relating to the learning and teaching within that unit. All students are asked to respond
honestly to these questions, as all information received is used to enhance the delivery of future
offerings.
Changes to this Unit Based on Previous Student Feedback
As part of a continuous improvement paradigm, feedback from students is used to help fine tune the
content, delivery and assessment of BEA140 Quantitative Methods. As a direct result of student
feedback, over the last couple of years, we have changed the structure of the major assignment, so
that the size of assignments varies according to team size. We introduced an optional ‘make-up’
assignment which can be used to replace the worst 5% of a student's internal assessment.
We have also reduced the weight on the mid-semester test, and increased the flexibility of test
sitting times by offering online tests.
Details of Teaching Arrangements
Lectures
There will be 13 two-hour lectures during the semester commencing weekly in Week 1.
Lectures will cover the core examinable material in the unit. Detailed lecture outlines are available
on MyLO.
Lectures will be recorded and will be available on MyLO.
Workshops
Students are required to attend 12 workshop sessions. For flexible delivery students, these will be
held live online weekly, commencing in Week 2.
The online workshops will be held through Elluminate Live! online learning platform. A workshop
session web link can be found on our BEA 140 flexible site on MyLO. To join the session simply click
on the link and follow suggested instruction before the weekly scheduled workshop time. The
workshop schedule will be advised during week 1.
Workshops will consist primarily of guided problem solving and are intended to reinforce and extend
material covered in lectures. A wide selection of practice problems and answers are available via
MyLO. The weekly study schedule will nominate which of these are to be considered in workshop
sessions. To benefit most you should prepare rough answers and come prepared to ask your
workshop instructor to explain parts of the subject that you have not fully understood. Workshop
sessions may also be used to provide students with an overview of assignment and test practice
exercise questions.
Tutorials
Voluntary (non-compulsory) tutorial sessions will be held for one hour per week commencing in
Week 4. These are primarily for students in need of additional assistance. Typically, students will
come to tutorials with specific topics or problems that are causing them difficulty, and the tutor will
BEA140, Quantitative Methods
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work through a selection of these problems with the students during the tutorial session. Tutorial
will be also held online and time and weblink for this will be advised when demand has been
assessed.
Online Activities (Online details)
There are two online tests (in week 4 and week 12) which students are required to sit.
PASS Program (PASS details)
PASS (Peer Assisted Study Sessions) is an academic mentoring program where experienced senior
students provide small group, focused, one-hour study sessions for BEA140 Quantitative Methods. In
a one-hour PASS session each week you can learn effective study strategies with other students
studying the same subject. You will also get a chance to learn more deeply in this subject, which will
form the foundation for many of your later-year subjects. PASS is for everyone and PASS has a strong
record of helping those students gain higher marks in BEc, BBus and other course subjects.
Peer Assisted Study Sessions are available to support your studies of this unit. For more information,
visit http://www.utas.edu.au/pass/
Learning Skills and Language Support (Other support details)
The Student Learning and Academic Development Team in the Student Centre works with all
students, domestic and international, to develop academic skills, literacy and English language skills.
More information can be found on this website http://www.utas.edu.au/student-learning/
Communication, Consultation and Appointments
TO KEEP UP WITH ANNOUNCEMENTS REGARDING THIS UNIT
Check the MyLO News tool at least once every two days. The unit News will appear when you first
enter our unit’s MyLO site. Alternatively, click on the News button (towards the top of the MyLO
screen) at any time.
WHEN YOU HAVE A QUESTION
Other students may have the same question that you have. Please go to the Q&A Forum on our
course’s MyLO site. Check the posts that are already there – someone may have answered your
question already. Otherwise, add your question as a new topic. Students are encouraged to support
each other using this forum – if you can answer someone’s question, please do. We will attempt to
respond to questions within 48 business hours. If your question is related to a personal issue or your
performance in the unit, please contact us by email instead.
WHEN YOU HAVE AN ISSUE THAT WILL IMPACT ON YOUR STUDIES OR SUBMISSION OF AN
ASSESSMENT TASK
If you have a personal question related to your studies or your grades, please contact us by email.
A NOTE ABOUT EMAIL CORRESPONDENCE
You are expected to check your UTAS email (WebMail) on a regular basis – at least three times per
week. To access your WebMail account, login using your UTAS username and password at
https://webmail.utas.edu.au/.
BEA140, Quantitative Methods
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You are strongly advised not to forward your UTAS emails to an external email service (such as Gmail
or Hotmail). In the past there have been significant issues where this has occurred, resulting in UTAS
being blacklisted by these email providers for a period of up to one month. To keep informed, please
use your UTAS email as often as possible.
*IMPORTANT* Please email me when you have a question or issue of a personal nature, for
example, you have a family issue that is affecting your studies. For general questions about the unit,
please add them to the Q&A forum on our unit’s MyLO site. This way, other students can also
benefit from the answers.
I receive a lot of emails. Be realistic about how long it might take for me to respond. Allow me at
least two (2) business days to reply. Staff are not required to respond to emails in which students do
not directly identify themselves, emails which are threatening or offensive, or emails that come from
external (non-UTAS) email accounts.
When you write an email, include the following information. This helps the teacher determine who
you are and which unit you are talking about.
• Family name;
• Preferred name;
• Student ID;
• Unit code (i.e. BEA140)
• Questions
• If your question is about an assessment task, please include the assessment task number or
name.
BEA140, Quantitative Methods
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Assessment
Assessment Schedule
In order to pass this unit you must achieve an overall mark of at least50% of the total available
marks. Details of each assessment item are outlined below.
Assessment Items
Due Date
Value/Weighting
Online test 1
During week 4
5%
Mid-semester test
During week 7 lecture
10%
Major assignment
End of week 10
20%
Online test 2
During week 12
5%
Make-up assignment
End of week 13
5%
Examination
During examination
period
60%
Link to Learning
Outcomes
Learning Outcome 1
Learning Outcome 6
Learning Outcome 1
Learning Outcome 2
Learning Outcome 3
Learning Outcome 5
Learning Outcome 6
Learning Outcome 1
Learning Outcome 2
Learning Outcome 3
Learning Outcome 5
Learning Outcome 6
Learning Outcome 3
Learning Outcome 4
Learning Outcome 6
Learning Outcome 4
Learning Outcome 5
Learning Outcome 6
Learning Outcome 1
Learning Outcome 2
Learning Outcome 3
Learning Outcome 4
Learning Outcome 5
Learning Outcome 6
Assessment Item 1 – Online test 1
Task Description:
Online Test 1 will be sat online by students in their own time during a
window of availability in week 4. The test will be randomised (i.e., all
students will be tested on the same topics but each student will receive a
unique set of questions). The aim of Online Test 1 is to:
•
•
•
Test core computational skills relating to key formulae in Module 1 of
the unit.
Provide rapid feedback with regard to these core computational
skills.
Contribute to non-collaborative internal assessment.
Task Length
60 minutes in which to attempt ten to fifteen multi-choice questions.
Assessment Criteria:
All questions require students to recognise the type of problem, and select,
populate and evaluate the appropriate formula. Multiple choice test, one
mark per correct answer, no penalty for incorrect answers.
Link to Unit’s
Learning Outcome 1
BEA140, Quantitative Methods
Learning Outcomes:
Learning Outcome 6
Due Date:
During week 4
Value:
5%
13
Assessment Item 2 – Online mid-semester test
Task Description:
Skills covered in Modules 1 & 2. The content and standard of questions will
be similar to the exercises in Mod 1 Practice Exercise and Mod 2 Practice
Exercise. The test is intended to:
•
•
•
Give students experience of exam conditions.
Provide feedback to students on their progress in the unit.
Contribute to non-collaborative internal assessment.
Task Length
60 to 75 minutes (to be advised during semester)
Assessment Criteria:
All questions require students to recognise the type of problem, and select,
populate and evaluate the appropriate formula. Students are expected to
sanity check their answers as only the answers will be marked. Open Book
Multiple choice test, one mark per correct answer, no penalty for incorrect
answers.
Link to Unit’s
Learning Outcomes:
Learning Outcome 1
Learning Outcome 2
Learning Outcome 3
Learning Outcome 5
Learning Outcome 6
Due Date:
During week 7
Value:
10%
Assessment Item 3 - Major assignment
Task Description:
The assignment will consist of preparing answers to a variety of problems,
with workings and procedures shown, and for which part marks may be
awarded for incorrect answers. It is recommended that students work on the
assignment in teams of two or three. Where a student expects to have
difficulty working in a team because of work or family commitments (etc.)
provision will be made for the student to submit the assignment as an
individual, but any such student will need to obtain approval from their
lecturer. This assessment should be submitted through MyLO dropbox before
the due date.
Task Length
Six to ten multipart questions.
Assessment Criteria:
An assessment rubric for the major assignment is provided as an attachment
to the major assignment question sheet.
Link to Unit’s
Learning Outcomes:
Learning Outcome 1
Learning Outcome 2
Learning Outcome 3
Learning Outcome 5
BEA140, Quantitative Methods
14
Learning Outcome 6
Due Date:
End of week 10
Value:
20%
Assessment Item 4 - Online test 2
Task Description:
Online Test 2 will be sat online by students in their own time during a
window of availability in week 12. The test will be randomised (i.e., all
students will be tested on the same topics but each student will receive a
unique set of questions). The aim of Online Test 2 is to:
•
•
•
Test core computational skills relating to key formulae in Module 3 of
the unit.
Provide rapid feedback with regard to these core computational
skills.
Contribute to non-collaborative internal assessment.
Task Length
60 minutes in which to attempt ten to fifteen multi-choice questions.
Assessment Criteria:
All questions require students to recognise the type of problem, and select,
populate and evaluate the appropriate formula. Multiple choice test, one
mark per correct answer, no penalty for incorrect answers.
Link to Unit’s
Learning Outcomes:
Learning Outcome 3
Learning Outcome 4
Learning Outcome 6
Due Date:
During week 12
Value:
5%
Assessment Item 5 - Make-up assignment
Task Description:
The assignment will consist of preparing answers to a variety of problems,
with workings and procedures shown, and for which part marks may be
awarded for incorrect answers. The make-up assignment is an individual
assignment, and MAY NOT be submitted by teams.
The make-up assignment is an optional individual assignment which allows a
student to replace the worst 5% of their internal assessment with the mark
received for the make-up assignment. A detailed description of how marks
for the make-up assignment contribute to internal assessment will appear as
an attachment to the make-up assignment.
Task Length
Two multipart questions
Assessment Criteria:
An assessment rubric for the major assignment is provided as an attachment
to the assignment question sheet.
Link to Unit’s
Learning Outcomes:
Learning Outcome 4
Learning Outcome 5
Learning Outcome 6
BEA140, Quantitative Methods
Due Date:
End of week 13
Value:
5%
15
Assessment Item 6- Examination
Task Description:
A multiple choice section worth 20 marks.
Students should attempt six out of ten multipart questions, worth a total of
160 marks.
Task Length
3 hours
Exam Venue
In the beginning of the semester, an email form UTAS will be sent to students
explaining how we organise the exam. Flexible students do need to sit exam
in a phyical location. Students need to nominate their nearest approved
distance examination centre according to the instructions on the email sent
by UTAS distant supervision.
Assessment Criteria:
Answers should contain students’ workings and procedures. Part marks may
be awarded for incorrect answers. The standard of questions and answers
can be gauged from copies of previous years’ exams and solutions which are
available on MyLO. The key assessment criteria will be Assumptions,
Methodology, Evaluation and Interpretation/Reflection, as described in the
rubric attached to the major and make-up assignments.
Link to Unit’s
Learning Outcomes:
Learning Outcome 1
Learning Outcome 2
Learning Outcome 3
Learning Outcome 4
Learning Outcome 5
Learning Outcome 6
Due Date:
During examination period
Value:
60%
Your final examination for this unit will be held during the scheduled examination period as
indicated by Student Administration in correspondence to you.
Examinations will normally be scheduled Monday to Saturday inclusive. Examinations may be held
during the day or evening and students should consult the university information which will be made
available towards the end of semester.
You are advised to make any necessary arrangements with employers now for time off during the
examination period to sit this examination. Your participation at the scheduled time is not
negotiable unless there are exceptional circumstances. Note that you will be expected to sit the
examination at your recorded study centre. To find out more go to the Exams Office website:
http://www.utas.edu.au/exams/home.
BEA140, Quantitative Methods
16
Submission of Assessment Items
Lodging Assessment Items
Assignments must be submitted electronically through the relevant assignment drop box in MyLO.
All assessment items must be handed in by 2.00pm on the due date. Where appropriate, unit
coordinators may also request students submit a paper version of their assignments.
All assignments must have a TSBE Assignment Cover Sheet, which is available as a blank template
from the TSBE website: [http://www.utas.edu.au/business-and-economics/student-resources]. All
assignments must include your name, student ID number, tutorial day/time, and your tutor’s name.
If this information is missing the assignment will not be accepted and, therefore, will not be
marked.
Please remember that you are responsible for lodging your assessment items on or before the due
date and time. We suggest you keep a copy. Even in ‘perfect’ systems, items sometimes go astray.
Late Assessment and Extension Policy
In this Policy
1. (a) ‘day’ or ‘days’ includes all calendar days, including weekends and public holidays;
(b) ‘late’ means after the due date and time; and
(c) ‘assessment items’ includes all internal non-examination based forms of assessment
2. This Policy applies to all students enrolled in TSBE Units at whatever Campus or geographical
location.
3. Students are expected to submit assessment items on or before the due date and time specified
in the relevant Unit Outline. The onus is on the student to prove the date and time of
submission.
4. Students who have a medical condition or special circumstances may apply for an extension.
Requests for extensions should, where possible, be made in writing to the Unit Coordinator on
or before the due date. Students will need to provide independent supporting documentation
to substantiate their claims.
5. Late submission of assessment items will incur a penalty of 10% of the total marks possible for
that piece of assessment for each day the assessment item is late unless an extension had been
granted on or before the relevant due date.
6. Assessment items submitted more than five (5) days late will not be accepted.
7. Academic staff do NOT have the discretion to waive a late penalty, subject to clause 4 above.
Academic Referencing and Style Guide
In your written work you will need to support your ideas by referring to scholarly literature, works of
art and/or inventions. It is important that you understand how to correctly refer to the work of
others and maintain academic integrity.
Failure to appropriately acknowledge the ideas of others constitutes academic dishonesty
(plagiarism), a matter considered by the University of Tasmania as a serious offence.
The appropriate referencing style for this unit is: the Harvard style. For information on presentation
of assignments, including referencing styles: http://utas.libguides.com/referencing
BEA140, Quantitative Methods
17
Review of Assessment and Results
Review of Internal Assessment
It is expected that students will adhere to the following policy for a review of any piece of
continuous/internal assessment. The term continuous/internal assessment includes any assessment
task undertaken across the teaching phase of any unit (such as an assignment, a tutorial
presentation, and online discussion, and the like), as well as any capstone assignment or take-home
exam.
Within five (5) days of release of the assessment result a student may request a meeting with the
assessor for the purpose of an informal review of the result (in accordance with Academic
Assessment Rule No. 2 Clause 22 – www.utas.edu.au/university-council/universitygovernance/rules). During the meeting, the student should be prepared to discuss specifically the
marks for the section(s) of the marking criteria they are disputing and why they consider their
mark(s) is/are incorrect. The assessor will provide a response to the request for review within five (5)
days of the meeting.
If the student is dissatisfied with the response they may request a formal review of assessment by
the Head of School, with the request being lodged within five (5) days of the informal review being
completed. A Review of Internal Assessment Form must be submitted with the formal review
(http://www.studentcentre.utas.edu.au/examinations_and_results/forms_files/review_of_assessm
ent.pdf).
Review of Final Exam/Result
In units with an invigilated exam students may request a review of their final exam result. You may
request to see your exam script after results have been released by completing the Access to Exam
Script Form, which is available from the TSBE Office, or at the following link –
http://www.utas.edu.au/business-and-economics/student-resources. Your unit coordinator will
then contact you by email within five (5) working days of receipt of this form to go through your
exam script.
Should you require a review of your final result a formal request must be made only after
completing the review of exam script process list above. To comply with UTAS policy, this request
must be made within ten (10) days from the release of the final results (in accordance with
Academic Assessment Rule No. 2 Clause 22 – www.utas.edu.au/university-council/universitygovernance/rules). You will need to complete an Application for Review of Assessment Form, which
can be accessed from
www.studentcentre.utas.edu.au/examinations_and_results/forms_files/review_of_assessment.pdf.
Note that if you have passed the unit you will be required to pay $50 for this review.
The TSBE reserves the right to refuse a student request to review final examination scripts should
this process not be followed.
BEA140, Quantitative Methods
18
Further Support and Assistance
If you are experiencing difficulties with your studies or assessment items, have personal or lifeplanning issues, disability or illness which may affect your study, then you are advised to raise these
with your lecturer or tutor in the first instance.
If you do not feel comfortable contacting one of these people, or you have had discussions with
them and are not satisfied, then you are encouraged to contact:
DIRECTOR OF UNDERGRADUATE PROGRAMS
Name: Mr David Kronenberg
Room: 407, Commerce Building, Sandy Bay
Phone: 03 6226 2280
Email: [email protected]
Students are also encouraged to contact their Undergraduate Student Adviser who will be able to
help in identifying the issues that need to be addressed, give general advice, assist by liaising with
academic staff, as well as referring students to any relevant University-wide support services. Please
refer to the Student Adviser listings at www.utas.edu.au/first-year/student-advisers for your
advisers contact details.
There is also a range of University-wide support services available to students, including Student
Centre Administration, Careers and Employment, Disability Services, International and Migrant
Support, and Student Learning and Academic Support. Please refer to the Current Students website
(available from www.utas.edu.au/students) for further information.
If you wish to pursue any matters further then a Student Advocate may be able to assist.
Information about the advocates can be accessed from www.utas.edu.au/governance-legal/studentcomplaints.
The University also has formal policies, and you can find out details about these policies from the
following link – www.utas.edu.au/governance-legal/student-complaints/how-to-resolve-a-studentcomplaint/self-help-checklist.
BEA140, Quantitative Methods
19
Academic Misconduct and Plagiarism
Academic misconductincludes cheating, plagiarism, allowing another student to copy work for an
assignment or an examination, and any other conduct by which a student:
(a) seeks to gain, for themselves or for any other person, any academic advantage or advancement
to which they or that other person are not entitled; or
(b) improperly disadvantages any other student.
Students engaging in any form of academic misconduct may be dealt with under the Ordinance of
Student Discipline. This can include imposition of penalties that range from a deduction/cancellation
of marks to exclusion from a unit or the University. Details of penalties that can be imposed are
available in the Ordinance of Student Discipline – Part 3 Academic Misconduct, see
www.utas.edu.au/universitycouncil/legislation.
Plagiarism is a form of cheating. It is taking and using someone else’s thoughts, writings or
inventions and representing them as your own, for example:
•
•
•
using an author’s words without putting them in quotation marks and citing the source;
using an author’s ideas without proper acknowledgment and citation; or
copying another student’s work.
It also means using one’s own work from previously submitted assessment items if repeating a unit.
If you have any doubts about how to refer to the work of others in your assignments, please
consult your lecturer or tutor for relevant referencing guidelines, and the academic integrity
resources on the web at http://www.academicintegrity.utas.edu.au/ The intentional copying of
someone else’s work as one’s own is a serious offence punishable by penalties that may range from
a fine or deduction/cancellation of marks and, in the most serious of cases, to exclusion from a unit,
a course, or the University.
The University and any persons authorised by the University may submit your assessable works to
a plagiarism checking service, to obtain a report on possible instances of plagiarism. Assessable
works may also be included in a reference database. It is a condition of this arrangement that the
original author’s permission is required before a work within the database can be viewed.
For further information on this statement and general referencing guidelines, see
www.utas.edu.au/plagiarism/ or follow the link under ‘Policy, Procedures and Feedback’ on the
Current Students homepage.
BEA140, Quantitative Methods
20
Study Schedule
Week
Start of Week
1
14 July 2014
2
21 July 2014
3
28 July 2014
4
4 August 2014
5
11 August 2014
6
18 August 2014
7
25 August 2014
Topic/s and activities
Introduction to Unit. Summation
notation. Introduction to
mathematics of finance. Interest,
present and future values of a single
amount, solution for time and
interest rate. Effective and
equivalent rates.
Introduction to simple annuities.
Perpetuities. Amortisation.
(Including dealing with changes in
interest rate, missed/extra
payments, annuities due).
Sinking funds, ‘flat rate’ problems.
Commence Module 2 - Data
Properties and Collection - types,
sources, sampling (random, nonrandom). Presenting raw data.
Summary - Summary measures for
raw data, and for grouped data
(including interpolation with
grouped data).
Text Chapter/s
Lecture Notes:
Mod 1, pp. 1-10
Mod 1, pp. 11-22
9
8 September 2014
Mod 2, pp. 10-24
Summary and Presentation with Bi- Mod 2, pp. 25-39
variate Data - scatter diagram,
correlation, principle of least
squares, determining line of best fit,
goodness of fit, explained and
unexplained variation, Spearman's
Rank Correlation Coefficient.
Commence Module 3 - Probability
Mod 3, pp. 1-16
Basic Probability - concepts, laws,
trees and tables, independence,
Bayes' rule.
Mid-semester Test and Private
Online TEST
Study Week - the mid-semester test
will be held during lecture time.
Discrete Probability Distributions expectations, Poisson, binomial.
15 September 2014 Continuous Probability Distributions
- normal, z-scores, approximations
of the binomial and Poisson by the
normal
Workshops
commence
Mod 1, pp. 22-27,
Mod 2, pp. 1-9
Mid-semester break: Monday 1 – 5 September
8
Due Dates
Mod 3, pp. 17-26
Mod 3, pp. 26-40
Online Test 1
(5%)
Voluntary
tutorials
commence.
Mid-semester
Test (10%)
BEA140, Quantitative Methods
10
11
12
13
22 September 2014 Sampling Distributions - sampling
distribution of means, sampling of
proportions, Central Limit Theorem,
finite population correction factor,
the Student's t distribution.
Commence Module 4 - Estimation &
Inference Estimation - point &
interval estimates
29 September 2014 Point and interval estimates for
population proportion,
determination of optimal sample
size, Inference - one sample tests of
mean and proportion, types of
error, one and two tailed tests,
significance
6 October 2014
Bi-variate Inference - Chi-squared
test for independence. Tests for
existence of linear relationship,
confidence interval for slope, test
for significance of Spearman Rank
Correlation coefficient.
13 October 2014
Unit Review and Exam Preview
21
Mod 3, pp. 40-48,
Mod 4, pp. 1-5
Major assignment
due (20%)
Mod 4, pp. 6-19
Mod 4, pp. 19-28
Online Test 2
(5%)
Unit review, exam
preview notes
Optional make-up
assignment due
(5%)
Examination Period: 25 October to 11 November 2014
BEA140, Quantitative Methods
22
Tutorial & Workshop Schedule
Week
Start of Week
Topic/s
2
21 July 2014
Summation notation.
Future and present
values of single
amounts.
3
28 July 2014
Annuities.
4
4 August 2014
Advanced annuities
5
11 August 2014
Raw and grouped data
summary statistics.
6
18 August 2014
Ordinary least squares
regression.
7
25 August 2014
Mid-semester Test
Week
Activities
Mod 1 workshop exercises
1,2,6, 7 and 9 and any others
upto 16. (6, 7 and 9 are similar
to Module 1 Practice
Exercises, questions 1, 3 and 2
respectively.)
Mod 1 workshop exercises
12a, 19, 21, which are similar
to Module1 Practice Exercises
(questions 4, 6 and 5
respectively).
Mod 1 workshop exercises 24,
28
Mod 2 workshop exercises
13,2 which are similar to
Module 2 Practice Exercises,
(questions 1 and 2
respectively).
Mod 2 workshop exercise 14
which is similar to Module 2
Practice Exercises, question 3.
Private Study
Assessment Links
N/A
N/A
N/A
N/A
N/A
N/A
Mid-semester break: Monday 1 – 5 September
8
9
8 September 2014
Marginal, joint and
conditional
probabilities.
15 September 2014 Discrete probability
distributions.
10
22 September 2014 Normal probability
distributions.
11
29 September 2014 Sampling distributions
of sample means.
Confidence intervals.
12
6 October 2014
Inference and
regression.
13
13 October 2014
Bi-variate inference.
Mod 3 workshop exercise 20
which is similar to Module 3
Practice Exercises, question 1.
Mod 3 workshop exercises
30,38 and 42 which are similar
to Module 3 Practice
Exercises, (questions 2, 4 and
3 respectively).
Mod 3 workshop exercise 64
which is similar to Module 3
Practice Exercises, question 5.
Mod 3 workshop exercise 74,
88 which are similar to
Module4 Practice Exercises
questions 1 & 2. Mod 4a
workshop 7 which is similar to
Module 4 Practice Exercises
question 3.
Mod 4b workshop exercise 1
which is similar to Module 4
practice exercise question 4.
Rest of Mod 4b workshop
problems
Examination Period: 25 October to 11 November 2014
N/A
N/A
N/A
N/A
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