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
Extended Spring School, 2014-2015
THIS UNIT IS BEING OFFERED IN:
HOBART AND BY DISTANCE
Taught by:
Dinesh Gajurel
CRICOS Provider Code: 00586B
BEA140, Quantitative Methods
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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
Intended Learning Outcomes and Generic Graduate Attributes for BEA140......................................... 5
Learning Expectations and Teaching Strategies/Approach .................................................................... 6
Learning Resources ................................................................................................................................. 7
Technical requirements for MyLO ...................................................................................................... 8
Student Feedback via eVALUate ........................................................................................................... 10
Details of Teaching Arrangements ........................................................................................................ 10
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 ................................................................................................................ 20
Contact Details
Unit Coordinator/Lecturer: Dinesh Gajurel
Campus: Hobart (Sandy Bay)/Online
Room Number: 207 (Business Annex Building)
Email: [email protected]
Phone: 03 6226 1702
Consultation: On campus/Online: 1:30 to 2:30 pm Friday (Hobart Time)
(E-mail to arrange consultation over Skype).
BEA140, Quantitative Methods
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Unit Description
BEA140 Quantitative Methods is a foundation unit for 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.
The aim of this unit is 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 determining 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
Because of the intensive delivery of this unit, students should be enrolled in this unit before the
commencement of the online component. Late enrolments will not be accepted.
When does the unit commence?
The unit’s face to face teaching schedule commences 17 November, 2014. Materials relevant to the
unit for all students (attending and distance) will be available on MyLO from 3 November, 2014.
BEA140, Quantitative Methods
Intended Learning Outcomes and Generic Graduate Attributes for BEA140
4
INTENDED LEARNING OUTCOMES
In this unit you will
In assessing this unit I will be
learn:
looking at your ability to:
ASSESSMENT
METHODS
GRADUATE ATTRIBUTE OUTCOMES
Learning Outcome 1
The assessments and teaching activities in this unit have been designed to develop the
following graduate attributes in students.
Identify and evaluate marginal, joint
and conditional probabilities.
Online test 1, individual
assignment, group
assignment, and final
exam
Online test 1, individual
assignment, group
assignment, and final
exam
Online test 1, Individual
assignment, Group
assignment, and final
exam
Individual assignment
group assignment and
final exam.
Individual assignment
group assignment and
final exam.
Individual assignment
group assignment and
final exam.
Individual assignment
group assignment and
final exam.
Group assignment, final
exam, online test 2.
Determine and interpret
expectations.
Group assignment, final
exam, online test 2.
Identify the probability distribution
appropriate to a problem and
evaluate probabilities.
Group assignment, final
exam, online test 2.
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.
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.
Correctly use terminology.
Construct appropriate and well
labelled 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.
Knowledge:
• 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.
• Ability to use appropriate summary and graphical devices as an aid to
communication.
Problem‐solving:
• Ability to think logically, and use models and methods to analyse and quantify
business issues.
• Ability to identify and use needed information.
• 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
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Intended Learning Outcomes and Generic Graduate Attributes for BEA140
INTENDED LEARNING OUTCOMES
In this unit you will
In assessing this unit I will be
learn:
looking at your ability to:
ASSESSMENT METHODS
Learning Outcome 4
To use sample information
to draw conclusions about
properties of populations
from which samples are
drawn.
Determine and interpret p-values.
Construct and interpret confidence
intervals.
Final exam and online test 2.
Group assignment, and final
exam.
Perform and interpret appropriate
hypothesis tests.
Determine required sample sizes.
Final exam and questions on
Make-up assignment.
Final exam.
Learning Outcome 5
Quantify an association
between two variables,
explain variation and
improve prediction.
Determine and interpret Pearson and
Spearman correlation coefficients.
Perform OLS regression, and
interpret key statistics and Excel
regression printout.
Identify and describe common errors
in bivariate methods including
extrapolation, and ascribing
causation.
Extract key information from a
problem scenario.
Group assignment, make-up
assignment, and final exam
Group assignment, make-up
assignment, and final exam
Learning Outcome 6
To apply generic
quantitative problem
solving skills.
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’.
Group assignment, make-up
assignment, and final exam
Online test 1, individual
assignment, group assignment,
online test 2, make-up
assignment, and final exam
GRADUATE ATTRIBUTE OUTCOMES
BEA140, Quantitative Methods
Learning Expectations and Teaching Strategies/Approach
6
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 STUDYING ON CAMPUS
Although you are expected to take responsibility for your own learning, you are not on your own.
The unit coordinator/lecturer is available to help facilitate this, and if you need additional
information refer to the Learning Development website: http://www.utas.edu.au/learndev/
One strategy that should help you achieve excellent results is that of organising your time so that
you spend between 10-14 hours per session (week) studying this unit, such as:
Activity
Hours per session
Class contact – lectures cum workshop
Reading before class
Consolidating material after class and practicing exercises
Preparing for class, assessments and the exam
3 hours
2 hours
3 hours
3 hours
It is strongly advised you go through the lecture notes, workshop type questions and solutions and
other relevant materials provided in MyLO in order to participate actively and confirm your
understanding of the various topics.
STUDENTS STUDYING BY DISTANCE
There are four Modules for you to study independently in this Unit, each of which has a number of
Topics within it. For each of the Topics there are details notes for each module. There are key
concepts, formulas and examples for you to undertake.
The Unit is planned to enable you to work at your own pace. It is important, however, to work
consistently through the course materials. If there is any area of work that you do not understand,
you should contact the Unit Coordinator/Lecturer immediately, and make sure you do not progress
to the next Topic/Module without a thorough understanding of the previous one, although some
units are independent units.
Encouraging you to study and learn independently is an important goal of university study. It is a
feature of a reflective approach to learning in which you reflect on what you are learning and how
you plan your learning strategy. It is not the aim of flexible delivery that you feel you must work
through problems alone. The exchange of information and ideas is a very important part of your
learning development. You will gain most benefit by staying in close contact with other students and
with the Unit Coordinator via the Discussion and Mail facilities of MyLO. One of the assignments
included in this unit includes group assignment. Find other students in MyLO, form a group and do
that assignment. It is your responsibility to find group members.
BEA140, Quantitative Methods
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All aspects of your work are expected to be of a high standard, both in academic content and quality
of presentation. It is important to contact the Unit Coordinator immediately should you experience
any difficulties. Do not be reluctant to ask questions or contribute ideas, even if only partly formed,
as these can often form a basis for very constructive interaction. Remember that the MyLO
Discussions will be as interesting and useful as you make them.
The “Double L, Double R, Double D” approach
To get the most from this Unit, you should adopt the following approach:
•
•
•
•
•
•
Locate the Topic on MyLO that must be done next;
Listen to the Module/Lecture notes;
Read the recommended readings materials;
Reflect on the concepts and issues that have been encountered;
Discuss the concepts and issues with other students via MyLO; and
Do the exercises that are provided for the Topic.
The strategy to organize time for on campus students suggested in page 6 equally helps you to
follow “Double L, Double R, Double D” approach.
Throughout the Semester, your objective should be to gain a broad knowledge and understanding of
the Topics that are covered in the various Modules contained in the Unit. Wherever possible, you
should make extensive use of the MyLO Discussion Topics that have been provided for you to use. If
you are geographically close to each other, you are encouraged to form local work groups.
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.
BEA140, Quantitative Methods
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• 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.
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
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 your Unit Coordinator. 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.
BEA140, Quantitative Methods
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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.
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
BEA140, Quantitative Methods
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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. Besides, students
are also expected to engage in an active discussion about issues related to the unit through the
discussion forums or chat rooms that are available on MyLO, and this is particularly helpful for
distance students who may utilise the facilities available on MyLO to get in touch with their fellow
distance students and form groups to complete some of the 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
N/A
Details of Teaching Arrangements
Extended Spring School 2014-2015 is being taught using a blended format covering both on campus
and distance students. The first two weeks (weeks commencing 3 and 10 November) will be via
MyLO only. The lecture and test begins from the week commencing 17 November. See the “Study
Schedule” below.
Lectures
STUDENTS STUDYING ON CAMPUS
There will be 9 three-hour lectures during the semester starting from the week commencing
17 November. Lectures will cover the core examinable material in the unit and blends with
workshop questions. Detailed lecture outlines are available in MyLO and your active participation
during lecture is highly expected. The lecture outlines 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. A
wide selection of practice (workshop) problems and answers are available via MyLO. Lectures will be
recorded and will be available on MyLO.
STUDENTS STUDYING BY DISTANCE
This unit is delivered flexibly and there are no face-to-face classes for this unit. However, distance
students will have access to live streaming of the lecture and recorded lecture through MyLO.
MyLO and email will be used to maintain interaction and communication among students and the
lecturer. As this unit is offered on a flexible basis, communication is of the utmost importance. It is
not the aim of flexible delivery that students feel they must work through problems alone. Exchange
of information and ideas is a very important part of your learning development. Throughout the unit,
various tasks are provided for discussion with other students via the discussion facility of MyLO. You
will gain most benefits by staying in close contact with other students and with your Unit
Coordinator/Lecturer.
BEA140, Quantitative Methods
Online Activities (Online Details) for BOTH On Campus and By Distance Students
11
There are three online tests, including one start-up quiz, which students are required to sit online.
Online Activities (Online 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 the Unit
Coordinator 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/.
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 teaching staff 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.
We 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.
BEA140, Quantitative Methods
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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.
Assessment (Both On Campus and By Distance Students)
Assessment Schedule
In order to pass this unit you must achieve an overall mark of AT LEAST 50 percent of the total
available marks. Details of each assessment item are outlined below.
Assessment Items
Due Date
1. Start-up quiz
21 November 2014
2. Online Test 1
5 December 2014
3. Individual
19 December 2014
Assignment
4. Online Test 2
16 January 2015
5. Group
23 January 2015
Assignment
6. Make-up
30 January
assignment*
7. Final
During examination
Examination
period
* Make-up assignment is optional
Value/Weighting
5%
5%
10%
5%
25%
5%*
50%
Link to Learning
Outcomes
LO1, LO6
LO1, LO2, LO6
LO3, LO4, LO6
LO1, LO2, LO3, LO4,
LO5, LO6
LO4, LO5, LO6
LO1, LO2, LO3, LO4,
LO5, LO6
Assessment Item 1 – Start-up Quiz (Online)
Task Description:
Start-up Quiz will be sat online by students in their own time in between
November 3 to November 21, 2014. The aim of Start-up Quiz is to:
• Test students’ familiarity with course content and the use of MyLO
teaching/learning materials.
Task Length
60 minutes in which to attempt ten multiple-choice questions.
Assessment Criteria:
All questions require students to select the right choice based on the content
from Unit Outline.
Due Date:
21 November 2014.
Value:
5%
BEA140, Quantitative Methods
Assessment Item 2 – Online Test 1
13
Task Description:
Online Test 1 will be sat online by students in their own time during a
window of availability in week commencing December 1. 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 multiple-choice questions.
Assessment Criteria:
All questions require students to recognise the type of problem, and select,
populate and evaluate the appropriate formula.
Link to Unit’s
Learning Outcomes:
LO1, LO6
Due Date:
December 5, 2014
Value:
5%
Assessment Item 3 – Individual Assignment
Task Description:
The assignment will consist of preparing answers to a variety of problems
based on Module 1 and Module 2, with workings and procedures shown, and
for which part marks may be awarded for incorrect answers. It is
recommended that students go through workshop type questions and
answers provided in MyLO.
Task Length
Four multipart questions. Students may submit either a hand written or word
processed assignment. Students should keep a photocopy for study
purposes. Students should answer in sufficient detail to allow the marker to
follow the logic of their answers. Typically this would be a similar level of
detail to the worked examples appearing in the lecture notes and workshop
type problems. A SIGNED COVER SHEET IS REQUIRED. (See heading below
‘Submission of Assessment’ for details on how to lodge your assignment).
Assessment Criteria:
An assessment rubric for the Group assignment will be provided in week
commencing November 17 as an attachment to the individual assignment
question sheet.
Due Date:
19 December 2014.
Value:
10%
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 7. The test will be randomised (i.e. all students
BEA140, Quantitative Methods
14
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 2 of
the unit.
Provide rapid feedback with regard to these core computational
skills.
Task Length
60 minutes in which to attempt ten to fifteen multiple-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:
LO3, LO4, LO6
Due Date:
January 16, 2015
Value:
5%
Assessment Item 5 - Group 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.
Task Length
Six to ten multipart questions. Students may submit either a hand written or
word processed assignment. Only one assignment should be submitted per
team. Students should keep a photocopy for study purposes. Students should
answer in sufficient detail to allow the marker to follow the logic of their
answers. Typically this would be a similar level of detail to the worked
examples appearing in the lecture notes. A SIGNED COVER SHEET IS
REQUIRED. (See heading below ‘Submission of Assessment’ for details on
how to lodge your assignment).
Assessment Criteria:
An assessment rubric for the group assignment will be provided in week
commencing November 17 as an attachment to the group assignment
question sheet.
Link to Unit’s
Learning Outcomes:
LO1, LO2, LO3, LO4, LO5, LO6
Due Date:
January 23, 2015
Value:
25%
Assessment Item 6 – Make-up assignment
Task Description:
The assignment will consist of preparing answers to a variety of problems,
BEA140, Quantitative Methods
15
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 makeup 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 multi-part questions.
Assessment Criteria:
An assessment rubric for the make-up assignment is provided as an
attachment to the assignment question sheet.
Link to Unit’s
Learning Outcomes:
LO4, LO5, LO6
Due Date:
January 30, 2015
Value
5%
Assessment Item 7 - Final exam
Task Description:
Section
Question format
Number of questions
Worth
A
Multiple choice
20 questions
20 marks
B
Multiple part
Answer 6 questions
160 marks
180 marks
Previous end of year exams and solutions to these are available through
MyLO. (NB: Section A (multiple choice) questions are NOT available).
Task Length
Length: 3 hours
Exam Venue
For On-Campus students: Hobart
For Online/Distance students: In the beginning of the semester, an email
from UTAS will be sent to students explaining how we organise the final
exam. DISTANCE STUDENTS DO NEED TO SIT EXAM IN A PHYSICAL 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:
Students will be expected to demonstrate competence across the learning
outlines and graduate attributes.
Link to Unit’s
Learning Outcomes:
LO1, LO2, LO3, LO4, LO5, LO6
Due Date:
Exam period
Value:
50%
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.
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.
2.
3.
4.
5.
6.
7.
(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
This Policy applies to all students enrolled in TSBE Units at whatever Campus or geographical
location.
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.
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.
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.
Assessment items submitted more than five (5) days late will not be accepted.
Academic staff do NOT have the discretion to waive a late penalty, subject to clause 4 above.
BEA140, Quantitative Methods
17
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’s Writing Assignments: A Guide,
which can be accessed at: http://www.utas.edu.au/business-and-economics/studentresources. 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/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
BEA140, Quantitative Methods
18
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.
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
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
Academic Misconduct and Plagiarism
19
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
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 ones’ 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
MyLO opens (containing all teaching materials, including the unit outline) – 3 November
Week
1
Start of
Week
Monday
17
November
Topic/s and activities
Module 1: Business Mathematics
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.
Text
Chapter/s
See notes
on MyLo
(Module 1)
2
Monday
24
November
Introduction to simple annuities. Perpetuities. Amortisation.
(Including dealing with changes in interest rate, missed/extra
payments, annuities due) Sinking funds, “flat rate” problems.
See notes
on MyLo
(Module 1)
3
Monday
1 December
Module 2: Data Properties and Collection
Data: types & sources, survey errors, sampling methods,
properties of data
Describing and Presenting Univariate Data: Graphical and
Tabular methods of showing distribution of data, measuring
from group data.
See notes
on MyLo
(Module 2)
4
Monday
8 December
See notes
on MyLo
(Module 2)
5
Monday
15
December
Working with bivariate data:
Two categorical variables, two numerical variables
(scattergram, coefficient of correlation, linear regression), two
ordinal variables.
Module 3: Probability
Basic Probability – concepts, laws, trees & tables,
independence, Bayes’ rule. Discrete Probability Distributions expectations, Poisson, binomial.
Mid Semester Break: 22 December – 4 January
6
Monday
Sampling Distributions – sampling distribution of means,
5 January
sampling of proportions, Central Limit Theorem, finite
population correction factor, the Student’s t distribution.
See notes
on MyLo
(Module 3)
Due Dates
Start-up quiz
Online test 1
Individual
assignment
See notes
on MyLo
(Module 3)
7
Monday
12 January
Module 4: Estimation & Inference
Point & interval estimates for population mean. Point &
interval estimates for population proportion, determination of
optimal sample size, Inference - one sample tests of mean and
proportion, types of error, one & two tailed tests, significance.
See notes
on MyLo
(Module 4)
Online test 2
8
Monday
19 January
See notes
on MyLo
(Module 4)
Group
Assignment
9
Monday
26 January
Bivariate Inference, - Chi-squared test for independence. Tests
for existence of linear relationship, confidence interval for
slope, test for significance of Spearman Rank Correlation
coefficient, principle of least squares, determining line of best
fit, goodness of fit, explained & unexplained variation.
Principle of least squares, determining line of best fit,
goodness of fit, explained & unexplained variation Spearman's
Rank Correlation Coefficient, Analysis of Variance (ANOVA).
See notes
on MyLo
(Module 4)
Make-up
assignment
February 2-13 Extended Spring School examination period
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