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, 2015
THIS UNIT IS BEING OFFERED IN:
HOBART, LAUNCESTON, CRADLE COAST, DISTANCE
Taught by:
Steve Thollar,
Maria Yanotti,
Mark Sullivan,
Andrew Kruup
CRICOS Provider Code: 00586B
BEA140, Quantitative Methods
2
Contents
Contact Details ........................................................................................................................................ 3
Unit Description ...................................................................................................................................... 4
Prior Knowledge &/or Skills OR Pre-Requisite Unit(s) ............................................................................ 4
Enrolment in the Unit ............................................................................................................................. 4
When does the unit commence? ............................................................................................................ 4
University of Tasmania Graduate Quality Statement ............................................................................. 4
Intended Learning Outcomes for BEA140 .............................................................................................. 5
Learning Expectations and Teaching Strategies/Approach .................................................................... 7
Learning Resources ................................................................................................................................. 7
Student Feedback via eVALUate ........................................................................................................... 10
Details of Teaching Arrangements ........................................................................................................ 10
Assessment ........................................................................................................................................... 13
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 ................................................................................................................ 21
BEA140, Quantitative Methods
Contact Details
Unit Coordinator and Lecturer: Steve Thollar
Campus:
Room Number:
Hobart
N/A
Email:
[email protected]
Phone:
+61 3 6212 8261
Consultation:
On campus: Phone or email to arrange mutually convenient time.
Hobart CBD: Fridays 12:00 to 13:00. Phone or email first to confirm.
Lecturer:
Maria Yanotti
Campus:
Launceston
Room Number:
A262
Email:
[email protected]
Phone:
+61 3 6324 3659
Consultation:
2:00 to 4:00 pm Thursdays
Lecturer:
Mark Sullivan
Campus:
Cradle Coast
Room Number:
201
Email:
[email protected]
Phone:
+61 457 771 722
Consultation:
Upon request.
Lecturer:
Andrew Kruup
Campus:
Distance
Room Number:
N/A
Email:
[email protected]
Phone:
N/A
Consultation:
Via Email
3
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 core 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 business and economic decision environments, especially in an environment of risk
and uncertainty. The unit is an introduction to the exciting world of applying mathematics and
statistics to business problems.
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 MTM215114 Mathematics Methods Foundation 2 (or equivalent), or
Either TCE MTA315114 Mathematics Applied 3, 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?
The unit’s teaching schedule commences in the week beginning 13 July 2015.
University of Tasmania Graduate Quality Statement
The units in your course, including this unit, have been designed to cumulatively develop the
graduate qualities outlined in the University’s Graduate Quality Statement:
Our graduates are equipped and inspired to shape and respond to the opportunities and
challenges of the future as accomplished communicators, highly regarded professionals and
culturally competent citizens in local, national, and global society. Graduates acquire subject and
multidisciplinary knowledge and skills and develop critical and creative literacies and skills of
inquiry. Our graduates recognise and critically evaluate issues of social responsibility, ethical
conduct and sustainability.
BEA140, Quantitative Methods
Intended Learning Outcomes for BEA140
INTENDED LEARNING
OUTCOMES
Learning Outcome 1
A knowledge of the basic
concepts of the time valuation
of money, and be able to apply
these concepts to common
situations in business/personal
finance.
5
Related Assessment Criteria or Module Level Learning Objectives
Identify and evaluate a variety of simple annuity (and simpler)
problem scenarios.
Deal with common complications such as changes of interest rate,
missed payments and partial payments.
Construct sinking fund and amortization tables.
Learning Outcome 2
Correctly use terminology.
To demonstrate sound
practices in sampling, data
description and presentation in
a business environment.
Construct appropriate and well labeled charts.
Evaluate and interpret summary measures.
Identify and describe deficiencies in sampling schemes.
Learning Outcome 3
To apply basic probability
concepts and probability
distributions as an aid to
business decision making.
Identify and evaluate marginal, joint and conditional probabilities.
Determine and interpret expectations.
Identify the probability distribution appropriate to a problem and
evaluate probabilities.
Learning Outcome 4
Determine and interpret p-values.
To use sample information to
draw conclusions about
properties of populations from
which samples are drawn.
Construct and interpret confidence intervals.
Perform and interpret appropriate hypothesis tests.
Determine required sample sizes.
ASSESSMENT
METHODS
Major assignment,
final exam,
online test 1.
Major assignment,
final exam,
online test 1.
Major assignment,
final exam,
online test 1.
Major assignment
and final exam.
Major assignment
and final exam.
Major assignment
and final exam.
Major assignment
and final exam.
Major assignment,
final exam,
online test 2.
Major assignment,
final exam,
online test 2.
Major assignment,
final exam,
online test 2.
Final exam and
online test 2.
Final exam.
Final exam and
questions on makeup assignment.
Final exam.
COURSE LEVEL LEARNING OUTCOMES
Successful completion of this unit supports
your development of course learning
outcomes, which describe what a graduate
of a course knows, understands and is able
to do. Course learning outcomes are
available from the Course Coordinator.
Course learning outcomes are developed
with reference to national discipline
standards, Australian Qualifications
Framework (AQF), any professional
accreditation requirements and the
University of Tasmania’s Graduate Quality
Statement.
BEA140, Quantitative Methods
INTENDED LEARNING
OUTCOMES
Learning Outcome 5
Quantify an association
between two variables, explain
variation and improve
prediction.
Learning Outcome 6
To apply generic quantitative
problem solving skills.
6
Related Assessment Criteria or Module Level Learning Objectives
ASSESSMENT
METHODS
Determine and interpret Pearson and Spearman correlation
coefficients.
Perform OLS regression, and interpret key statistics.
Major assignment
and final exam.
Major assignment
and final exam.
Interpret an Excel regression printout.
Major assignment
and final exam.
Major assignment
and final exam.
Major assignment,
final exam, makeup assignment.
Major assignment,
final exam, makeup assignment.
Major assignment,
final exam, makeup assignment.
Major assignment,
final exam, makeup assignment.
Identify and describe common errors in bi-variate methods
including extrapolation, and ascribing causation.
Extract key information from a problem scenario.
Select appropriate methodology, stating any assumptions
required, and using a logical and structured approach.
Select, populate, and evaluate appropriate formulae.
Present and interpret answers and apply ‘sanity tests’.
COURSE LEVEL LEARNING OUTCOMES
BEA140, Quantitative Methods
7
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.
These are some of the expectations we have of you as a student enrolled in this unit:
• Students are expected to devote at least eight hours a week to BEA140 study. Typically this might
involve three hours of attending classes, an hour of reviewing lecture notes, and four hours
preparing for workshop and/or assignment tasks.
• Students requiring additional assistance are expected take advantage of the additional support
provided by the voluntary tutorial program and the PASS program.
Work, Health and Safety (WH&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/Software
A prescribed text is a resource that you must have access to for the purposes of studying this unit. Information regarding
how these may be purchased is attached.
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/Software
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.
BEA140, Quantitative Methods
•
•
8
Waters, D 2011, Quantitative methods for business, 5th edn, Prentice Hall, Edinburgh Gate.
Black, K 2014, Business Statistics: For Contemporary Decision Making, 7th Edition, Wiley
NB – Other editions of these references are also acceptable. 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/Software
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 calculator 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. Any handheld battery powered calculator may be used in the end of year exam, providing it
does not have communications capability.
i.e. calculators with Wi-Fi, GSM, Bluetooth or NFC are not permitted. You may not use a smart phone
as a calculator in the examination.
MICROSOFT EXCEL
Students will be provided learning resources on 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 into MyLO and access this unit, go to: http://www.utas.edu.au/mylo. To access the unit,
select BEA140.
For help using MyLO go to http://www.utas.edu.au/mylo.
Technical requirements for MyLO
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 log into MyLO, you will see a unit called Getting Started with MyLO. Enter this unit to
learn more about MyLO, and to practise using its features.
BEA140, Quantitative Methods
9
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. MyLO is 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 the I agree box. You should now be able to access all available
unit content on MyLO. You only need to do this once in each MyLO unit.
Other important resources on MyLO
Students are expected to regularly check on MyLO for any updates in relation to the unit. Essentially,
MyLO has been incorporated into the delivery of this unit to enhance students’ learning experience,
by providing access to up-to-date course materials, and allowing for online discussion. In addition to
the lecture slides which are uploaded on MyLO on a weekly basis, other unit-related materials such
as supplementary readings and assessment guides can also be accessed on MyLO. Further, students
are also expected to engage in an active discussion about issues related to the unit through the
BEA140, Quantitative Methods
10
discussion forums or chat rooms that are available on MyLO: this is particularly helpful for distance
students who may utilise the facilities available on MyLO to contact their fellow distance students
and form groups to complete any group assessment tasks for this unit. In this regard, MyLO should
be treated as the unit's critical platform for learning and communication.
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, we have increased the marks allocated to the major assignment from 20 to 30 percent,
removed the mid-semester test, and introduced a mid semester “forum” session. We also recently
introduced an optional ‘make-up’ assignment which may be used to replace the worst 5% of a
student's internal assessment and we have also increased the flexibility of test sitting times for the
online tests.
Details of Teaching Arrangements
Attendance Mode
Lectures
To see the lecture timetable, go to http://student.admin.utas.edu.au/coursesenrolment/timetable/
There will be 13 two-hour lectures weekly during the semester commencing in Week 1. Lectures will
cover the core examinable material in the unit. Detailed lecture outlines are available on MyLO.
These on their own are not a complete substitute for attending lectures and taking your own lecture
notes. It is recommended that you take a copy of the lecture outlines with you to class and use these
as a basis for your own note-taking or annotation.
Lectures will be recorded and will be available on MyLO.
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
work through a selection of these problems with the students during the tutorial session. Time and
venue for this will be advised when demand has been assessed.
BEA140, Quantitative Methods
11
Workshops
Students are required to attend 12 workshop sessions. These will be held weekly, commencing in
Week 2. 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.
Distance Mode
This unit will also be delivered via flexible delivery. Apart from accessing teaching materials, you will
need to use the MyLO site regularly to check for announcements by the Unit Coordinator, to ask
questions on the discussion forum and to participate in any other learning activities.
Distance students will share the BEA140 MyLO site with students enrolled in the on-campus version.
There are multiple reasons for this, including:
• Sharing of learning opportunities: Distance students will have the opportunity to listen to
recordings of live lectures. It is expected that these will be a lot more "realistic" than purposerecorded videos or narrated presentations.
• Sharing of resources: e.g. optional study activities, web links, etc. may be posted to the topic
folders. All students, regardless of mode of enrolment, will be exposed to the same information,
materials and optional activities.
• Sharing of study information: All students, regardless of enrolment mode, will have opportunity
to interact with each other via discussion boards and email. This is most important, as it very
much increases your class size, and therefore the range of interaction opportunities available to
you. It will help you all help each other (explaining to others is an excellent
learning/consolidation activity), and you can even form virtual study groups.
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 for review prior to each week’s lecture.
Lectures will be recorded and will be available on MyLO as a shared resource for both flexible and
on-campus students.
Online Workshops
Students are required to attend 12 workshop sessions. For distance 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
BEA140, Quantitative Methods
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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.
Online Tutorials
Voluntary (non-compulsory) tutorial sessions will be held one hour per week commencing in Week 4.
These are primarily for students in need of additional assistance. Typically, students will log-in
specific topics or problems that are causing them difficulty, and the tutor will work through a
selection of these problems with the students during the tutorial session. These sessions will be
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.
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 the appropriate teaching staff member by email instead.
WHEN YOU HAVE AN ISSUE THAT WILL IMPACT ON YOUR STUDIES OR THE SUBMISSION OF AN
ASSESSMENT TASK
If you have a personal question related to your studies or your grades, please contact teaching staff
by email.
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.
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/.
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.
BEA140, Quantitative Methods
13
We receive a lot of emails. Be realistic about how long it might take for us to respond. Allow at least
TWO (2) business days to reply. Staff are not required to respond to emails where students do not
directly identify themselves, are threatening or offensive, or come from external (non-UTAS) email
accounts.
When you write an email, you must include the following information. This helps teaching staff to
determine who you are and which unit you are talking about.
•
•
•
•
•
•
Family name;
Preferred name;
Student ID;
Unit code (BEA140)
Questions
If your question is about an assessment task, please include the assessment task
number or name.
Assessment
How Your Final Result Is Determined
In order to pass this unit you must achieve an overall mark of at least 50% of the total available
marks. Details of each assessment item are outlined below.
Assessment Schedule
Assessment Items
Due Date
Value/Weighting
Assessment 1
Online test 1
Assessment 2
Major assignment
Assessment 3
Online test 2
Assessment 4
Make-up assignment
Assessment 5
Examination
During week 4
5%
Link to Learning
Outcomes
1&6
End of week 10
30%
1, 2, 3, 5 & 6
During week 12
5%
3, 4 & 6
End of week 13
5%
4, 5 & 6
During examination period
60%
1, 2, 3, 4, 5 & 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.
BEA140, Quantitative Methods
14
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: 1 & 6
Due Date:
During week 4
Value:
5%
Assessment Item 2 – 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. The assignment is to be prepared and
submitted by individual students, not teams. 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: 1, 2, 3, 5 & 6
Due Date:
End of week 10
Value:
30%
Assessment Item 3 – 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: 3, 4 & 6
BEA140, Quantitative Methods
Due Date:
During week 12
Value:
5%
15
Assessment Item 4 - 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: 4, 5 & 6
Due Date:
End of week 13
Value:
5%
Assessment Item 5 - 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: 1, 2, 3, 4, 5 & 6
BEA140, Quantitative Methods
16
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.
Submission of Assessment Items
Lodging Assessment Items
Assignments must be submitted electronically through the relevant assignment drop box in MyLO.
Students must ensure that their name, student ID, unit code, tutorial time and tutor’s name (if
applicable) are clearly marked on the first page. If this information is missing, the assignment will
not be accepted and, therefore, will not be marked.
Where relevant, Unit Coordinators may also request students submit a paper version of their
assignments. Students will be advised by the Unit Coordinator of the appropriate process relevant
to each campus (Hobart, Launceston or Cradle Coast).
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.
BEA140, Quantitative Methods
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Academic Referencing and Style Guide
Before starting their assignments, students are advised to familiarise themselves with the following
electronic resources.
The first is the Harvard Referencing System Style Guide, which can be accessed from the UTAS
library: http://utas.libguides.com/content.php?pid=27520&sid=199808. The Harvard style is the
appropriate referencing style for this unit and the guide provides information on presentation of
assignments, including referencing styles. 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 second is the Tasmanian School of Business and Economics’ Writing Assignments: A Guide,
which can be accessed at: http://www.utas.edu.au/business-and-economics/student-resources ..
This guide provides students with useful information about the structure and style of assignments in
the TSBE.
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/academic-governance/academicsenate/academic-senate-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 internal
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 is available at the following link:
http://www.utas.edu.au/business-and-economics/student-resources/forms. The form must be
submitted to the TSBE Office.
BEA140, Quantitative Methods
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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/forms. 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/academic-governance/academicsenate/academic-senate-rules . You will need to complete an Application for Review of Assessment
Form, which can be accessed from http://www.utas.edu.au/exams/exam-and-results-forms. 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.
Further Support and Assistance
If you are experiencing difficulties with your studies or assessment items, have personal or lifeplanning issues, disability or illness that 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:
ACADEMIC DIRECTOR – UNDERGRADUATE PROGRAMS
Name: Mr David Kronenberg
Room: 301, Centenary Building, Sandy Bay
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
adviser’s 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 those from
that link.
BEA140, Quantitative Methods
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Academic Misconduct and Plagiarism
Academic misconduct includes 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
http://www.utas.edu.au/university-council/university-governance/ordinances.
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.utas.edu.au/academic-integrity/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
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Study Schedule
Week
Start of Week
Topic/s and activities
Text Chapter/s
1
Monday 13 July
2
Monday 20 July
3
Monday 27 July
4
Monday 3 Aug
5
Monday 10 Aug
6
Monday 17 Aug
7
Monday 24 Aug
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, non-random).
Presenting raw data.
Summary - Summary measures for raw data, and
for grouped data (including interpolation with
grouped data).
Summary and Presentation with Bi-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 Basic
Probability - concepts, laws, trees and tables,
independence, Bayes' rule.
Mid-semester Forum.
8
Monday 7 Sept
Discrete Probability Distributions - expectations,
Poisson, binomial.
Mod 3, pp. 17-26
9
Monday
14 Sept
Continuous Probability Distributions - normal, zscores, approximations of the binomial and
Poisson by the normal
Mod 3, pp. 26-40
10
Monday
21 Sept
Mod 3, pp. 40-48,
Mod 4, pp. 1-5
11
Monday
28 Sept
12
Monday 5 Oct
13
Monday 12 Oct
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
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
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.
Unit Review and Exam Preview
Due Dates
Lecture Notes:
Mod 1, pp. 1-10
Mod 1, pp. 11-22
Workshops
commence
Mod 1, pp. 22-27,
Mod 2, pp. 1-9
Mod 2, pp. 10-24
Mod 2, pp. 25-39
Online Test 1 (5%)
Voluntary tutorials
commence.
Mod 3, pp. 1-16
All material
covered in the
first six weeks.
Mid-Semester Break: 31 August – 4 September inclusive
Major assignment
due (30%)
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: 24 October – 10 November 2015
BEA140, Quantitative Methods
21
Tutorial/Workshop Schedule
Please note that the tutorial schedule commences in week 2 of semester.
Week
Start of Week
Topic/s and activities
2
Monday 20 July
Summation notation. Future and
present values of single amounts.
3
Monday 27 July
Annuities.
4
Monday 3 Aug
Advanced annuities
5
Monday 10 Aug
Raw and grouped data summary
statistics.
6
Monday 17 Aug
Ordinary least squares regression.
7
Monday 24 Aug
Mid-semester Test Week
Text Chapter/s
Due Dates
Mod 1 workshop exercises 1, 2, 6, N/A
7 and 9 and any others up to 16.
(6, 7 and 9 are similar to Module 1
Practice Exercises, questions 1, 3
and 2 respectively.)
Mod 1 workshop exercises 12a,
N/A
19, 21, which are similar to
Module 1 Practice Exercises
(questions 4, 6 and 5
respectively).
Mod 1 workshop exercises 24, 28 N/A
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
N/A
N/A
N/A
Mid-Semester Break: 31 August – 4 September inclusive
8
Monday 7 Sept
Marginal, joint and conditional
probabilities.
9
Monday 14 Sept
Discrete probability distributions.
10
Monday 21 Sept
Normal probability distributions.
11
Monday 28 Sept
Sampling distributions of sample
means. Confidence intervals.
12
Monday 5 Oct
Inference and regression.
13
Monday 12 Oct
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 Module 4
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: 24 October – 10 November 2015
N/A
N/A
N/A
N/A
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