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Assignment 2: Practical Data Mining Project 31005 Advanced Data Analytics


Assignment 2: Practical Data Mining Project
31005 Advanced Data Analytics
Spring 2018

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The goal of this assignment is to develop your skills in a practical data mining project. There are
two options.
1. To implement a simple data mining algorithm, ID3, from scratch. Or you could program
an algorithm of similar sophistication (seek advice in advance).
2. To do a data mining project. You can use an existing machine learning libraries for the
development. We recommend modern Python machine learning libraries such as scikitlearn,
pytorch or tensorflow. You can base your development on existing publicly
available projects such as repositories downloadable from github.
You can do this assignment by yourself or in pairs, seek advice in advance if more than two
people would like to form a team.
For all choices, you need
1. to submit a report on the development of the project (see below for details)
2. and to record a short presentation or screencast highlighting your work (5–10 minutes
maximum). The best movies will be shown to the class in the last week.
The main thing is to choose a project that you’re interested in and passionate
about.
Choice 1: Programming ID3
The first option is to program ID3 using the algorithm described in class. You need to develop
software to solve a supervised learning problem (ie. to build a model against a training set),
then run the software against a test dataset and report the accuracy of the model. Your program
should do the following things:
1. Read a training dataset and a test dataset. The datasets are in the form of text files. See
below.
2. Build a model using the training data as input.
3. Print out a representation of the model (ie. the tree or similar).
4. Run the test data against the model, work out the accuracy of the model (ie. How many
samples it classified correctly) and print out a confusion matrix to summarise the
results.
Format of the Datasets
Please use the Mushroom dataset to test the algorithm implementation. It is a simple comma
separated values text file describing whether mushrooms are poisonous or edible. It consists of
two parts:
Header line beginning with the comment character “#” followed by the name of each attribute
separated by commas. You should ignore any whitespace in the line.
Data lines follow the header. Each data point (or sample point) is on a separate line.
Attribute values are separated by commas. All attributes are categorical and do not have
embedded spaces. The attribute named “class” is the class type for the sample and has the value
“edible” or “poisonous”. Your task it to build a decision tree that can discriminate between
edible and poisonous mushrooms. For more information, see
http://archive.ics.uci.edu/ml/datasets/Mushroom
The Software
You are free to develop the software in any language you like, although C/C++, Java, Python or
similar are preferred. If you want to choose a different language, check first with me. The
program should be a text–based “console” program. You do not need to worry about a
GUI.
What to Submit
There are three parts to your deliverable, which will be around 20 pages.
1. a short description of the design of the program (3 pages maximum);
2. the source code for your program;
3. transcript of output from your program.
It is difficult to give an estimate of the number of lines of code required because it depends on
the specific language and the data mining algorithm chosen. However, you should be able to
code it all up using 3 or 4 classes in an object–oriented design.
The ID3 algorithm
You should build a decision tree using the ID3 algorithm given in the 3rd lecture (it is a pretty
simple algorithm, feel free to learn it yourself if you choose to start this assignment before Week
3). This algorithm uses the information gain measure to calculate the splits. You should build
the decision tree using the training data supplied, then calculate the error on the supplied
test/validation data. Since the mushroom dataset is categorical, you will not need to consider
the complexities added with real–valued attributes. There is missing data in the mushroom
dataset (flagged by “?” values). Don’t treat the missing data specially. Just pretend that “?” is just
another value for the attribute in question. Also, do not worry about pruning the tree.
The program must display a text representation of the decision tree. You are free to display the
tree in any way you think makes sense, so long as it shows what attributes are tested at each
node in the tree. It is acceptable to utilise diagnosis tools provided by machine learning
packages for the display of the tree ** as long as the tree is built by your own program, i.e. it is
NOT acceptable to form a 2nd tree using the package, and display the 2nd tree directly **.
Hint #1: The trick with building the decision tree is not really the ID3 algorithm which is fairly
straightforward. The tricky bit is managing the dataset. Remember that you need to be able to
easily split the dataset based on the value of a specific attribute. That means you need to devise
a suitable data structure to easily do this split and to work out class frequencies.
Hint #2: Think carefully about the entropy function you need to use when calculating
information gain. It’s not quite so simple as in our theoretical discussion. Specifically, what
happens when all of the dataset you’re looking at has only one of the two class values? ie. all the
mushrooms are edible or all are poisonous? How will you deal with this?
Hint #3: Follow carefully the online learning materials provided Week 3.
Choice 1-alternative: Programming an algorithm of your choice
The second option allows you to choose another algorithm to program, so long as you seek
approval from me. One potential method is a multilayer perceptron neural network. You may
use a supporting mathematical library to help with the details so long as you code the machine
learning algorithm part yourself. Note: It is not acceptable to simply write code to call the Java
Weka algorithm or the Python scikit-learn code for the algorithm. I expect you to write the main
algorithm yourself. The dataset to be used for the classification (or regression) problem will
need to be determined in consultation with me, but as a default we would probably use the
mushroom dataset from choice 1 if it makes sense.
Comments about what you need to submit and choice of programming language are as above.
Choice 2: Doing a data mining project
The third choice is to use an existing package to solve a data mining problem. If you want to do
this it will not be enough to just use one classification algorithm and copy the output. You need
to explore the data, systematically try several algorithms and parameter settings to find the best
(by evaluating the quality of the classifiers) and then provide a recommendation.
Format of the Datasets
I’m happy for you to choose a dataset, but check with me first. A very good source is
https://www.kaggle.com/datasets
What to Submit
There are three parts to your deliverable.
1. a description of your exploration of the dataset highlighting interesting or important
things you found (roughly 5–10 pages with figures);
2. a description of how you approached the problem, which algorithms you looked at and
the parameter settings you used (10 pages);
3. your recommended classifier with reasons why (1 page).
Recorded Presentation
Regardless of the choice of project that you do, each group needs to record a short presentation
of 5–10 minutes. The idea is to tell the rest of the class about the results of your wonderful
project work. You might want to divide your talk into the following general sections:
• Introduction: what problem were you solving?
• Background information about the problem (if needed)
• Your solution.
• Results, possibly including a demonstration if you wrote a program.
• Reflection: what did you learn? what would you do differently next time?
Due Date
Due date 11:59pm 5 Oct 2018.
How to submit Please submit a soft copy on UTS Online. Make sure you put your student
number and your name in the document.
Extensions may be granted for assignments after consultation with the Subject Coordinator
before the due date.
Late assignments will have 20 percentage points deducted from the total worth to the
assignment per day late or part thereof, more than five days late the assignment will receive
zero. Special Consideration, for late submission, must be arranged beforehand with the
Subject Co–ordinator.
Assessment
Group work This assignment may be done individually or in pairs. Conditions for group work
are described in the subject outline. Except for exceptional circumstances
(ie. where problems occur in the group), each member will receive the same mark.
If there are problems in your group, please see the Subject Coordinator.
Return I will endeavour to return marked assignments within three weeks.
Contribution to final mark This assignment contributes: 40% towards your final mark.
Objectives This assignment supports objectives 1, 3 and 4 and Graduate Attributes C2 and E1 in
the subject outline.
Academic Standards Please see the subject outline for details on the ethical standards we
expect from you.
Hours An average student should expect to spend around 48 hours to get a 50P result on this
assignment.
Code for ID3 and other algorithms may easily be found on the Internet (by you and by me!), but
using this code defeats the purpose of the assignment. The point is for you to learn how to solve
the program yourselves. Please don’t use source code you find on the Internet. I will check all
assignments. Also, please don’t simply call Weka or scikit-learn code which does the majority of
the work from your code.
Marking Scheme
Choice-1 (and alternative)
* Program design (30)
– Data structure: is there discussion on how to store the key status of the model / algorithm? E.g.
if the algorithm is ID3, is the discussion on how the tree node represented in memory sufficient?
(1-10)
– Overall structure: how the functions / classes are designed and organised? (1-5)
– Interface: clear and implementation independent? (1-5, related to overall structure)
– Efficiency: time and memory efficiency considered?(1-5)
* Clarity and readability (30)
– Variable names are descriptive (1-5)
– Indentation are appropriate (1-5)
– Informative, precise and concise comments (1-5)
– Repeatedly used code blocks are suitably delegated to functions (1-5: related to the structure)
– No goto, reasonably clear execution flow (1-5)
– Assertion or exception handling (1-5)
* Output (20)
– Correctness (1-10)
– Interpretability: the output should be easily understood (1-5)
– Organisation / summarisation: there should be attempt to allow users to find key info if the
volume of the output is large (1-5)
* Video Presentation (20)
– Introduction: what problem were you solving? (1-5)
– Background information about the problem and Your solution (1-5).
– Results, possibly including a demonstration if you wrote a program.(1-5)
– Reflection: what did you learn? what would you do differently next time? (1-5)If you choose
option 1 or 2 your assignment will be marked based on how well you solve
the problem and the design and efficiency of your program.
Choice-2
* Data Exploration (/30)
– Is the business problem understood well and clearly stated in the report? (1-10)
– Is there detailed discussion on the data characteristic related to the problem, such as how the
attributes / other aspects may facilitate or pose challenges? (1-10)
– Is there analysis how to deal with / make advantage of the specific data characteristics and
therefore to design a solution path? (1-5)
– Clarity in presentation, general logic etc. (1-5)
* Methodology (/30)
– At least two different approaches have been tested, with reasonable motivation, experiment
design and criteria for the outcomes (1-10)
– Model selection, (hyper-) parameter tuning scheme for each algorithm (1-10)
– Sophistication of algorithms (1-5, we reward efforts in implementation)
– Clarity in presentation (1-5, consider the tables and figures for results).
* Understanding and recommendation (/20)
– How convincing discussion on the experiment outcomes is, considering both technical
soundness and narrative explanation (1-10)
– Does the final recommendation fit the problem (1-10)
* Video Presentation (/20)
– Introduction: what problem were you solving? (1-5)
– Background information about the problem and Your solution (1-5).
– Results, possibly including a demonstration if you wrote a program.(1-5)
– Reflection: what did you learn? what would you do differently next time? (1-5)

Assignment 2: Practical Data Mining Project
31005 Advanced Data Analytics

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Assignment: Volatility modelling of exchange rate


Assignment: Volatility modelling of exchange rate

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Assignment: Volatility modelling of exchange rate
In the wake of recent financial news of
i the rising bad debts of Australian banks, and consumers,
ii the 25 basis cut of interest rate by RBA to its historically low level of 1.5%,
iii the BHP Billiton’s first annual loss of USD6.385 since the BHP and Billiton merged 15 years
ago,
iv the UK decided to leave Europe, and
v a stubbornly high AUD (making Australian products less competitive internationally)
have had impacted local equity and the currency markets. One of the ways to analyze these impact
on the AU-US dollar exchange rate can be to look at the volatility movements of the exchange rate.
Crises period tend to increase volatility and the tranquil period tend to calm the market volatility.
The aim of this assignment is to analyze the same while building up the crucial concepts of ARCH
modeling along the way.
Download the data of Australian-US dollar exchange rate from the source mentioned below and
answer the followings:
i whether the Aus-US dollar exchange rate is a stationary process. Use both the graphical
approach and the statistical test.
ii draw the histogram of the exchange rate returns and compare it with the histogram of a
normally distributed random variable. Explain in few lines the differences you observe between
the two histogram. You can simulate data from the normal distribution with the mean and
the standard deviation obtained from the exchange rate returns data. The length of this
simulated/artificial data should match with the length of the exchange rate returns data.
iii set-up a statistical/econometric model for the exchange rate returns data with ARCH(2) process.
Explain in a few lines what are known and unknown in this model and how can we get
to know about the unknown?
iv determine whether there are ARCH effects in the model. Use both the graph and the statistical
test to justify your answer.
v redo the above with the artificial data you created in part (ii) above. Is there an ARCH effect
and why not?
vi set-up a likelihood function in Microsoft Excel and estimate unknown part of the model. You
will need to know the mean and variance equations and the likelihood function of the ARCH
model. Estimate the same model in EViews and compare the estimates of the model from two
software. At this point, you would appreciate yourself that you have unraveled (the black-box
of) what EViews has done it for you in one click.
vii obtain the forecast of the conditional variance of the return for the one week and comment on
2
the forecast.
Data: The price of the Australian dollar in terms of US dollar or the US dollar exchange rate per
Australian dollar. The sample period is from 04/01/2010 to date.
Data source: DATA
Notes: You will see a few observations are missing (ND: No data for this date) in the data. This is a
common problem when we deal with the real-life data. You can fix this problem in a few ways. Either
replace the missing value with the value of the Aus-US dollar exchange rate prior to the missing
value or replace it by the average value of the exchange rates of prior and post missing values. Since
the data size is huge, we perhaps do not need to worry about missing observations. Simply delete
the rows of your data set where missing observation appears. From part ii onwards, you would be
dealing with the continuously compounded daily returns of the Australian-US dollar price.
You are to submit a document in the CloudDeakin folder that lists the number and part of each
question (e.g. (b)I ) followed by your answer and the files containing all working on Excel/Eviews.
Do not replicate the question. Verbose and overly long assignments are not appreciated.
Please note that the word document file is to be marked. Any information you need
from Excel and/EViews output, please make it a part of the word document.

Assignment: Volatility modelling of exchange rate

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SIT202 Computer Networks Trimester 2


SIT202 Computer Networks Trimester 2
Problem Solving Report 3 (due 11:59 pm September 23
rd 2018)
Total Marks =30
This will be converted to 10% of total marks

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Questions:
1. A) The World Wide Web was originally designed as a stateless entity. However, over time it was
identified that a stateful relationship between a web client and a web server can benefit in many ways
including e-commerce, collecting web behaviour of web users etc. The cookie mechanism was
introduced for this purpose. In your lecture slides (week-8 to week-9), the following diagram
demonstrates the use of a cookie. Explain each of the six steps indicated in the following diagram
for using the cookie in online shopping.
Marking Guideline:
Overall Explanations (9.0 marks):
o 9.0 marks: Explained clearly all six steps (server/client activity, cookie, contents in the
request/response)
o 8.0 Explained but missing two components or have two errors in one of the step/steps from
six steps (server/client activity, cookie, contents in the request/response)
o 7.0 Explained but missing 4 components or have 4 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response)
o 6.0 Explained but missing 6 components or have 6 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response)
o 5.0 Explained but missing 8 components or have 8 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response)
o 4.0 Explained but missing 10 components or have 10 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response)
o 3.0 Explained but missing 12 components or have 12 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response)
o 2.0 Explained but missing 14 components or have 14 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response)
o 1.0 Explained but missing 16 components or have 16 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response)
o 0.0 Explained but missing 18 components or have 18 errors in one of the step/steps from six
steps (server/client activity, cookie, contents in the request/response), all incorrect or did
not attempt.
1. B) Consider a scenario where an advertising company pays fees to Deakin
University for including banner ads in Deakin’s web site, i.e., an image presenting an
advertisement of a product from a manufacturer which is linked to the manufacturer’s
web server. Deakin receives payment from the advertising company based on the
number of visits by its users to the manufacturer’s web site. The advertising company
gets payment from the manufacturer based on the number of times the advertisement
is displayed. Prepare a diagram illustrating how the cookie is used when retrieving a
Deakin web page containing an advertisement and then tracking the users of Deakin’s
web site visiting the manufacturer’s web site by clicking on an advertisement.
Explain the steps in your diagram.
Overall Explanations and diagram (8.0 marks):
o 8.0 marks: Explained clearly all four steps (source and destination of each step form
different server/client, contents in the request/response) and presented in the diagram
o 7.0 Explained but missing two components or have two errors from (source and
destination of each step form different server/client, contents in the request/response) in
one of the step/steps from four steps and presented in the diagram.
o 6.0 Explained but missing 4 components or have 4 errors from (source and destination of
each step form different server/client, contents in the request/response) in one of the
step/steps from four steps and presented in the diagram.
o 5.0 Explained but missing 6 components or have 6 errors from (source and destination of
each step form different server/client, contents in the request/response) in one of the
step/steps from four steps and presented in the diagram.
o 4.0 Explained but missing 8 components or have 8 errors from (source and destination of
each step form different server/client, contents in the request/response) in one of the
step/steps from four steps and presented in the diagram.
o 3.0 Explained but missing 10 components or have 10 errors from (source and destination
of each step form different server/client, contents in the request/response) in one of the
step/steps from four steps and presented in the diagram.
o 2.0 Explained but missing 12 components or have 12 errors from (source and destination
of each step form different server/client, contents in the request/response) in one of the
step/steps from four steps and presented in the diagram.
o 1.0 Explained but missing 14 components or have 14 errors from (source and destination
of each step form different server/client, contents in the request/response) in one of the
step/steps from four steps and presented in the diagram.
o 0.0 Explained but all incorrect or did not attempt.
2. In the following diagram, a web client is communicating with a web server which opens a TCP
connection at client’s end. The client is using an initial sequence number (ISN) 2048 with a port of
51000 and receiving window size of 2000. In response, server also opens a TCP connection with ISN
21732 and receiving window size of 4000, port 80. After connection establishment, client sends two
data segments each of size 500 bytes. Then server responds in a single segment with 1000 bytes. Then
client closes the connection, in response server also closes the connection.
Show all TCP segments during connection establishment, data transfer and connection termination
between client and server (no segments are corrupted/dropped in the exchange). For each segment,
write header information which should include port number, sequence number, acknowledgement
number, values of all bits in the control field, window sizes and ranges of data bytes in the data section
(as appropriate for the segment type). Each segment needs to be placed in a separate table. First row
in the table should mention the label of segment based on their type and direction clearly client to
server or vice versa. All tables should have a number at the beginning (on top of the table) which
indicates the order they are sent by either the client or the server.
Marking guide line: Total =13 Marks
Marks for each segment-1.44, then each component marks=segment mark/number of component in the segment
1. Connection establishment (11 component + 13 component + 13 component)
2. Data transfer ( 15 component + 15 component + 15 component)
3. Connection termination ( 13 component + 13 component + 13 component)

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CLDR-460-DOL5 SENIOR CAPSTONE EXPERIENCE-PASTORAL MINISTRY 1


CLDR-460-DOL5 SENIOR CAPSTONE EXPERIENCE-PASTORAL MINISTRY 1

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Paper Guidelines
For the duration of this course, you will work on developing several skills that will help you
practically apply the knowledge gained over the course of your academic career at Lee
University. For your Senior Capstone Experience, you will write a 15-20 page research paper on
the following topic:
A Biblical Theology of Pastoral Ministry Practically Applied
In addition to a compelling introduction and conclusion, your paper will encompass the
following sections:
1. A Biblical and Theological Understanding of Pastoral Ministry
2. The Biblical and Theological Understanding of Preaching in the Local Church
3. Practical Application
The purpose of this paper is to help you integrate theology and ministry practice as well as hone
your writing skills for use in pastoral ministry.
Your paper should:
1. Be at least 15-20 pages in length (this does not include title page, outline or bibliographic
material).
2. Include at least 7-10 quality academic and theological resources that are relevant to the
topic (see Annotated Bibliography assignment for additional details.
3. Follow the SOR Manual of Style.
4. Use Times New Roman 12 point font.
5. Have 1” margins.

CLDR-460-DOL5 SENIOR CAPSTONE EXPERIENCE-PASTORAL MINISTRY 1

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Agribusiness Management 420


Agribusiness Management 420

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Exercise 5 Hardcopy Due Tuesday in class, Week #6
Softcopy due in drop box before class, see file naming guidelines on Assignment
Guidelines.
Topic: Spatial price variation & spatial market structure
Background
Questions to think about: If every region could produce a product for the same cost,
would there be any spatial arbitrage between regions? On the other hand, suppose each
region can only produce one product, would there be spatial arbitrage? What would be
the benefits of trade? These are important questions that have persisted in taking center
stage in public debate for centuries. The past decade has seen the question rise to the
level of Presidential campaigns and debates where questions such as: Where should
automobiles, tractors, wheat, oranges, etc. be produced? Google your favorite politician
and see what she says about trade. If the U.S. has higher production costs, should we
allow imports from lower cost locations? Check out readings over the next week.
This exercise requires you to answer the following questions.
Assignment Answer the following questions.
1) Consider price variation over space. Availability of price data will vary
depending on what product you are studying. The idea here is to choose a set of
spatial locations and collect prices for them. The locations can be highly specific,
e.g. Farmdoc.com has specific locations for grains in Midwest states. Or, the
locations can be geographically aggregate, e.g. countries or states. Choose a
spatial location. One location must be considered as your home market and
collect prices for at least 3 locations including your home market over time for
your product. Try to collect 60-100 observations over time for each location, and
try to collect most recent prices.
Define a “source market” as a place where your product is generally in excess
supply, e.g. it is produced in excess of consumption at that location. Define a
“destination market” as a place where the product is generally in excess demand,
so there are generally imports. Choose a market location as a “home market”.
This is a place where you want to study price variation for your product. Here,
we will look at countries as markets, or other types of specific locations like
cities, states, or counties.
Choose a small set (3-4 each) of important source and destination markets of your
product that are outside of the US (or your home market country) and collect
prices in each of those markets. (if your product has not proven suitable for this,
choose a related product, e.g. beer would be difficult!~ ok, try corn.
The prices in each market should be measured for the same time period, with the
same frequency if possible, and have the same number of observations as you
have for your home market price. Open a new spreadsheet and in the second
column put your home market price series. Add columns to the right and put the
source and destination market prices in these.
For example, for crude oil,
Destination markets might be:
Column 3 Chicago Price
Column 4 San Francisco Price
Column 5 Houston Price
Source markets might be:
Column 6 Rotterdam Price
Column 7 Antwerp Price
Column 8 West Texas Price
You might choose West Texas as your “home market” but to explore exchange rates later, it
would be best to choose a market outside of the US as a home market. So, choose e.g. Rotterdam.
2) If product is flowing across borders, the sources and destination prices are in
different currencies, collect exchange rates for each and convert all prices to US
dollars. (see Resources subdirectory for sources of exchange rates.) Put the
exchange rates in columns next to each price, and calc in another column the price
in US dollars. So, your column headings might be:
Rotterdam(Euro) US$/Euro Rot-US$
Create a graph of the exchange rate over time. Write a paragraph describing its
variation over time. Is it constant? Can you decompose the variation as you did in
assignment 2? What do you see as the most important components of exchange rate
variation?
3) From 2), you have all prices converted to US dollars. Graph US$ price for each
origin market in a single figure, label this Figure 1. Write a paragraph or two
reporting presenting your interpretation of the differences across these prices over
time. What characteristics in these differences do you see? Do the prices move
together, or diverge?

4) For each origin market, compute the spatial margin (in US$) for imports into your
home market from each origin. Compute the mean, mode, and standard deviation
for the spatial margin for each source and put this at the bottom of the column for
each source’s spatial margin. Graph the spatial margins. Write a brief paragraph
describing the variation you see in these spatial margins noting randomness,
trends, cycles…
5) For each destination, compute the spatial margin for exports out of your home
market in US$. Compute the mean, mode, and standard deviation for the spatial
margin for each source and put this at the bottom of the column for each
destination’s spatial margin. Graph this and label it Figure 3. Spatial Margin for
Imports – your product. Write a short paragraph describing the variation you see
in these spatial margins. Looking back at variation in exchange rates, what role
do you see exchange rates playing in the variation of the export market prices? Sources:
Prices for different countries are available from numerous sources, in addition to USDA, and World Bank,
FAO-Stat is a good example. See the Resources link in Angel. Exchange rates are readily available on the
web though sometimes those sites only have the current exchange rate. For historical rates, annual,
monthly, weekly, daily one good source is:
http://www.federalreserve.gov/econresdata/releases/statisticsdata.htm
http://www.federalreserve.gov/releases/h10/hist/

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Agribusiness Management 420

HA3042 Taxation Law


HA3042 Taxation Law

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HA3042 Taxation Law
T2 2018 Individual Assignment
(2500 words)
Due date: Week 10
Maximum marks: 20 (20%)
Instructions:
This assignment is to be submitted by the due date in soft-copy only (Safe
assign – Blackboard).
The assignment is to be submitted in accordance with assessment policy
stated in the Subject Outline and Student Handbook.
It is the responsibility of the student submitting the work to ensure that
the work is in fact his/her own work. Ensure that when incorporating the
works of others into your submission that it is appropriately
acknowledged.
Question 1 (5 Marks)
The Lotteries Commission conducts an instant lottery called ‘Set for Life’ under
which a winner who scratches three ‘set for life’ panels wins $50,000 each year
for 20 years. The first $50,000 is payable as soon as the winner is notified, and
later amounts are payable on the first anniversary of the first payment. In the
event of the death of the winner, the Commission may pay any outstanding
amounts to the deceased’s estate.
Requirement:
Is the annual payment income? Give reasons for your decision
Question 2 (06 marks)
Corner Pharmacy is a chemist shop. It provides no credit sales but accepts major
credit cards. It sells items off the shelf and the proprietor fills prescriptions for
cash and for payments made under the Pharmaceutical Benefits Scheme [PBS].
Three (03) assistants are employed. The following financial data is provided:
Cash sales ——————————————–$300,000
Credit card sales————————————-$150,000
Credit card reimbursements ———————–$160,000
PBS:
– Opening balance ———————————–$25,000
– Closing balance ————————————$30,000
– Billings ———————————————-$200,000
– Receipts ———————————————$195,000
Stock
– Opening stock————————————–$150,000
– Purchases——————————————-$500,000
– Closing stock —————————————$200,000
Salaries ————————————————$60,000
Rent —————————————————-$50,000
Requirement:
On the assumptions that an accrual basis applies and the cost of sales and other
outlays are allowable deductions for tax purposes, calculate the pharmacy’s
taxable income.
Question 3 (04 marks)
What principle was established in IRC v Duke of Westminster [1936] AC 1? How
relevant is that principle today in Australia?
Question 4 (05 marks)
Joseph (an accountant) and his wife Jane (a housewife) borrowed money to
purchase a rental property as joint tenants. They entered into a written
agreement which provided that Joseph is entitled to 20% of the profits from the
property and Jane is entitled to 80% of the profits from the property. The
agreement also provided that if the property generates a loss, Joseph is entitled
to 100% of the loss. Last year a loss of $40,000 arose.
Requirement:
How is this loss allocated for tax purposes? If Joseph and Jane decide to sell the
property, how would they be required to account for any capital gain or capital
loss?

HA3042 Taxation Law

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Purpose of Assignment 

  • The purpose of this assignment is to help students critically analyze and evaluate a television advertisement and the various methods used to persuade viewers to buy products.

Objectives 

  • The student will show his understanding of an advertisement’s plot
  • The student will be able to critically analyze and evaluate the strength of persuasion methods used in advertisements
  • The student will be able to give opinions about the effectiveness of an advertisement’s persuasion methods
  • The student will be able to identify the underlying beliefs, attitudes, and values that advertisement makers assume about their audiences
  • The student will be able to provide suggestions for making the advertisement more effective

Requirements 

Choose a television advertisement, about 30 – 45 seconds in length, and then prepare a PowerPoint presentation based upon the following criteria.

PowerPoint Presentation

  1. Time limit of 10 minutes
  2. PowerPoint: 8 slides with 4 or 5 bullets on each slide
  3. Prepare attractive slides that add to your presentation. Use a picture, table, graph or diagram on most of the slides.
  4. Explain each key point on each of your slides
  5. Include the following slides in your presentation:

Slide 1:      Analyzing and Evaluating an Advertisement

Title slide with the assignment name, student’s name and ID.

Slide 2:      Outline

Outline of the slides in your presentation.

Slide 3:      Background of the Advertisement

What is the product being advertised? Length of the advertisement? The plot? Demographics of buyers (age, gender, income level, race, marital status, other interest groups)?

Slide 4:      The Advertisement

Imbed the advertisement in this slide and play it.

Slide 5:      Persuasion Tactics

What tactics are used to make people interested in the product (experts use it, everyone else uses it, clever people use it, repeating the name of the product several times, appealing to emotions, using catchy music, powerful language, etc)? 2 reasoning errors?

Slide 6:      Effectiveness

                  What is your final opinion of the advertisement? Is it effective? Why/not? How would you make it more effective?

Slide 7:      Summary

                  Summarize the key points from the slides. (Do not repeat the Outline slide here).

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RBA Official Cash Rate Forecasting


RBA Official Cash Rate Forecasting

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RBA Official Cash Rate Forecasting

Type: Report
Learning Objectives Assessed: 1, 4, 5, 7, 8, 9
Weight: 15%
Task Description: 

Background

The Board of the Reserve Bank of Australia (RBA) holds regular meetings, typically on the first Tuesday of every month, to decide the stance of monetary policy. The official cash rate or discount rate could be adjusted after such a meeting. After each meeting, the RBA will first make a brief statement (Monetary Policy Media Release) summarising the Board’s decision on the official cash rate. A much more detailed statement (Statement on Monetary Policy) will be released later. The Statement on Monetary Policy provides a lot of information about how the Board reached its decision.

Task

Students are required to make a forecast of the official cash rate following the Board meeting. Students are required to explain their forecast in a statement something in between the Monetary Policy Media Release and the Statement on Monetary Policy (i.e. longer than the former but shorter than the latter).

It is important to show both evidence (e.g. statistical figures) and judgment (e.g. what that figure means to growth or inflation for Australia).

The first chapter of RBA’s Statement on Monetary Policy does not provide all the statistical evidence as they are contained in subsequent chapters. Students are expected to provide those figures either in the text or in the footnotes.

While the statement is on the domestic monetary policy decision, international economic and political factors can play an important role. As former RBA Governor Ian Macfarlane pointed out, Australia has never had a home-grown recession in that “we’ve never had a problem yet while the world economy has been growing.”

Sample

Samples from a previous year will be put on the course website. These samples all received a fairly good mark.

Format

  1. The assignment must be typed.
  2. If the official cash rate before the meeting was 5% and you expect the Board to increase it by 0.25%, then your submitted answer should be “5.25%,” rather than “+0.25%.”
  3. The writing style should be similar to that of the RBA’s Monetary Policy Media Release. (Just imagine yourself as the RBA official who wrote it!)
  4. Font: 12 pt Times New Roman for the main text, 10pt for footnotes; single spacing; 2cm top and bottom margins; 2cm side margins.
  5. It has to be within two A4 pages(one-sided), including the footnotes.
  6. Referencethe information sources, particularly figures, in the footnotes.

Common Mistakes

Some common mistakes that led to a lower mark are:

  • Used and drew inferences from not up-to-date statistics. In particular, publications like World Economic Outlook and OECD Economic Outlook took a lot more time to prepare than official figures from the Australian Bureau of Statistics, and could, therefore, be outdated at the time of release.
  • Overly relying on a few non-credible reference sources, such as newspapers. Together with the last point, it means that there could be a trade-off between being up-to-dateand having credibility. The challenge here is to extract useful information from different sources and to integrate them together.
  • Focusing on the past events and forgetting that the setting of monetary policy by the RBA is forward looking.
  • Making too strong inferences from observed facts. E.g. “The terrorist attack in Middle East is likely to slow down the global economy.”
  • Citing a lot of figures but without pointing out their implicationsto inflation or growth.
  • Over-emphasising the latest change of a particular economic variable, instead of analysing it in perspective. For example, “April witnessed a slump in consumer confidence.” instead of “Consumer confidence has dropped in April, but was still substantially above the three-year average.”
  • Focusing on a few things only and therefore lack of comprehensivenessin the analysis.
  • Putting too much faith in newspaper analyses and market forecasts (on various things, not just interest rates). Remember, journalists look for eye-catching headings and tend to exaggeratethe implications of selective statistics.
  • Inappropriate referencing formats, such as not indicating the article titles or not indicating what points they referred to.
  • Inconsistencybetween individual statements or between the analysis and the conclusion. E.g. some students had cited a lot of factors in support of rising inflation pressure but at the end concluded that there was no need to raise the interest rate.
  • Student cut and pasted statements/sentences from various sources instead of writing in their own words. Consequently, those “Frankenstein statements” did not read smoothly and did not provide a coherent view of what was going on.

Warning: Cutting and pasting materials from any source is an act of plagiarism; if proven, it could result in a zero mark.

Examples of Data Sources

  • Central banks: RBA, European Central Bank (Monthly Bulletin), FRB, Bank of Japan
  • Australian Bureau of Statistics
  • World Economic Outlook.IMF and World Bank
  • Economic Updates. Queensland Treasury Corporation
  • Mid-Year Economic and Fiscal Outlook.Australian Government, the Treasury
  • Research Report by commercial and investment banks
  • Mass Media, e.g. Economists, Australian Financial Review, Business Week, Wall Street Journal, BBC, Reuters, Financial Times, Associated Press etc.
  • The newspaper Australian Financial Reviewregularly reports the forecasts of market economists on monetary policy changes, especially in the lead up to a Board meeting. However, one should note that market economists (as well as academics) make wrong forecasts all the time!
  • Previous Monetary Policy Media Releasecan be found on the RBA website
  • Previous Statements on Monetary Policyon monetary policy can be found on the RBA website
  • Minutes of the RBA Board Meeting can be found on the RBA website

Penalty

Late submission: Since students should prepare the assignment at least a week before the due date, a “sudden illness” on the due date will not be considered as an excuse for late submission. Substantial mark deduction of 15% per day could result in such cases. Students who have long-term medical problems should consult the course coordinator immediately after obtaining medical certificates from doctors.

Problems with internet connections or traffic congestion, except the case that the Blackboard system is down, will not be accepted as an excuse for late submission. So you should make your submission well before the deadline.

Plagiarism: Plagiarism will be dealt with very seriously in this University. It is simply not worth trying!

All assignments will be checked for plagiarism using the Turnitin software, including submissions by other students. Students who are found plagiarising will be given an opportunity for explanation (but not an opportunity for resubmitting another assignment). If the explanation is not satisfactory, marks will be deducted down to as low as zero.

The School of Economics is committed to reducing the incidence of plagiarism. Further information on plagiarism and how to avoid an allegation of plagiarism is available under Section 6. Policies and Guidelines – 6.1. Assessment Related Policies & Guidelines of this Course Profile.
Criteria & Marking: 

Submission (15%)

  1. Correct format and proper referencing (1%)
  2. Clarity of writing (5%)
  3. The quality of data and references (4%)
  4. The accuracy and explanation of the forecast (5%)

The quality of data and references is determined by: (1) the range of data and references being used; (2) the authority/reliability of those data and references; (3) how up-to-date the data and references are.

The RBA Statement will be used as a reference to access the accuracy of stated facts/statistics/figures in an assignment.
Submission: A Word file should be submitted through the Blackboard course website (click the Assessment button on the left). Submission through email will not be accepted. All assignments submitted will be run through the Turnitin anti-plagiarism software (see the Plagiarism section below). You are allowed to resubmit your assignment as many times as you want before the deadline (the latest submission will over-write the previous one).

RBA Official Cash Rate Forecasting

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HI5020 Corporate Accounting


HI5020 Corporate Accounting

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Assessment item 2 — Assignment
Due date: 11.59pm Friday Week 10
Weighting: 30 %
Total Marks: 30
Instructions:
1. This assignment needs to be submitted using safe-assign. No hardcopy or email attachment will
be accepted.
2. It is the responsibility of the student who is submitting the work, to ensure that the work is
her/his own work. Plagiarism will be heavily penalised
3. Assignment should be of 3,000 words. Please use “word count” and include in report.
Format of the Report

Your submitted assignment at least should have the following details:
a. Assignment Cover page clearly stating your name and student number
b. Executive summary
c. A table of content
d. A brief introduction of the companies you had chosen and an overview of what you
discussed in this assignment
e. Body of the report where you write your answers with appropriate section headings
f. Conclusion (No recommendation is necessary).
g. List of references. (Inclusion of any references in this list without in-text referencing will
be a futile exercise.)
Assessment task
Select two public limited companies listed on the Australian Securities Exchange (ASX) that
are in the same industry. Go to the website of your selected companies. Then go to the Investor
Relations section of the website. This section may be called, “Investors”, “Shareholder
Information” or similar name.
In this section, go to your companies’ annual reports and save to your computer your firms’
latest annual reports consecutively for last three years. Do not use your companies’ interim
financial statements or their concise financial statements. Please read the financial statements
(balance sheet, income statement, statement of changes in owner’s equity, cash flow statement)
very carefully. Also please read the relevant footnotes of your companies’ financial statements
carefully and include information from these footnotes in your answer.
You need to do the following tasks:
OWNERS EQUITY (5 Marks)
(i) From your companies’ financial statements, list each item of equity and write your
understanding of each item. Discuss any changes in each item of equity for your
firms over the past year articulating the reasons for the change.
(ii) Provide a comparative analysis of the debt and equity position of the two firms that
you have selected.
CASH FLOWS STATEMENT (5 Marks)
(iii) From the financial statement of your chosen companies, list each item reported in
the cash flows statement and write your understanding of each item. Discuss any
changes in each item of cash flows statement for your companies over the past years
articulating the reasons for the change.
(iv) Provide a comparative analysis of your companies’ three broad categories of cash
flows (operating activities, investing activities, financing activities) and make a
comparative evaluation for three years.
(v) Also provide a comparative analysis of the two companies that you have selected
explaining the insights that you can get from the comparative analysis.
OTHER COMPREHENSIVE INCOME STATEMENT (5 Marks)
(vi) What items have been reported in the other comprehensive income statement for
each company?
(vii) Why have these items not been reported in Income Statement/Profit and Loss
Statements?
(viii) Provide a comparative analysis of the items shown in the other comprehensive
income statement section for the two companies. If these items were included in the
income statement / profit and loss statements of each company, how would the
profit attributable to shareholders of the company be affected?
(ix) Should other comprehensive income be included in evaluating the performance of
managers of the company?
ACCOUNTING FOR CROPORATE INCOME TAX (15 Marks)
(x) What are the tax expenses shown in the latest financial statements of the two
companies that you have selected?
(xi) Calculate the effective tax rate for both companies that you have selected.
Effective tax rate is calculated as (income tax expense / earnings before tax).
Which one of the companies has the higher effective tax rate?
(xii) Comment on deferred tax assets/liabilities that is reported in the balance sheet
articulating the possible reasons why they have been recorded.
(xiii) Was there any increase or decrease in the deferred tax assets or in the deferred tax
liability reported by each of your selected companies?
(xiv) Please calculate the cash tax amount for both companies using the book tax
amount, changes in the deferred tax assets and deferred tax liability (please do
your own research for your better understanding of these concepts and the method
of calculating the cash tax amount the book tax amount.)
(xv) Calculate the cash tax rate for both companies. Which company has higher cash
tax rate? (Please do your own research to familiarise yourself with how to
calculate cash tax rate).
(xvi) Why is the cash tax rate different from the book tax rate?
Please remember some aspects of your companies’ treatment of tax can be a very complicated
area, particularly for some companies. For a better understanding of the concepts included in
the assignment that has not been introduced in the class, please do your own research.
PRESENTATION
You might have to do a presentation in the class where your lecturer will question you from
different angles of the assignment and you will have to satisfy the lecturer that you were
sufficiently and appropriately involved in preparing the assignment. The presentation will take
place in the last hour of the classes of week 11 and week 12. It is the discretion of the lecturer
either to ask any student to do the presentation or to award marks to a student without asking
to do the presentation. However, every student needs to be prepared for the presentation and
well conversant about everything that has been written in the submitted assignment.

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TACC302 Group assignment information


TACC302 Group assignment information

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TACC302 Group assignment information
Value: 30% of overall assessment
(20% for the written work and 10% for the presentation)
Due date: Monday 17 Sept (Week 9)
Word limit: 2000 words
Requirements:
• Students are to form groups of 3 (max.4), each student’s name must be recorded on the
coversheet otherwise that student will receive zero for the assignment.
• Students must submit the group assignment online (by 5 pm on Monday 17 Sept 2018 for
online submission) and a hard copy to your lecturer during class time. Late penalty at 10%
per day.
• The assignment must be word-processed, single-spaced, and printed on one side only of A4
paper. The word size should be 12 with ‘Times new roman’ font type.
• Harvard style reference preferred.
• Only the group leader should submit online.
• The group presentation will be held during class time in week 10 (Monday 24 Sept2018).
Students will present as a group, and marks for the presentation will be awarded
individually.
• Duration for presentation: 2-3 minutes for each student.
• All group members must attend and present, otherwise you will lose the 10% of
presentation mark.
Enjoy!
The questions required to be completed are:
Q1. Company A is suing Company B for $500 000 in relation to a breach of copyright.
Company B produced designer clothes identical to those for which Company A holds legal
rights, without permission and without paying Company A for permission to use the designs.
Legal experts have advised Company A that it has a strong case and that there is a 60%
likelihood that Company B will be required to pay damages, although these are estimated at
$400 000.
(a) Explain whether the potential damages payable to Company A would meet the
definition and recognition criteria of an asset, applying the principles in:
– the Conceptual Framework
– the Proposed Framework.
(b) Explain whether the potential damages by Company B would meet the definition and
recognition criteria of a liability, applying the principles in:
– the Conceptual Framework
– the Proposed Framework.
(10 marks)
You may use the links provided below for the question:
https://dart.deloitte.com/USDART/resource/295369d3-3f4e-11e6-95db-0389faa39760
https://www.ifrs.org/-/media/project/conceptual-framework/current-stage/conceptualframework-summary-of-tentative-decisions.pdf
Q2. Obtain the annual reports of three companies in the same industry and consider the items
included in property, plant and equipment. Answer the following questions.
(a) What range of measures is used to determine amounts for these items in the reports of the
individual companies? Do you think it is valid to add the items, given the measures used?
How would you interpret the total amount for property, plant and equipment in the financial
statements?
(b) Compare the measures used by the different companies for similar items. Are there any
inconsistencies in how similar items are measured by the different companies?
(5 marks)

 

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