• Assignment about Business

1.

Take Home Final Assessment
Subject Code: THT3101
Subject Name: Ecotourism
Lecturer: Michael Pearlman (Melb); Warwick Marturia (Syd)
Total marks: 100 (comprises 40% of subject’s total assessment)
Take Home Final Assessment: Semester 1, 2016
This take home final assessment task is based upon a range of source materials
(readings, URL links to videos and websites) that have been made available to
students on the LMS site for THT3101 Ecotourism. This final assessment task has
been made available on LMS from 14th June 2016. Please note:
• All students have seven (7) working days to complete the final assessment
task.
• Answers must be submitted in word format by 11.55pm on Wednesday
22nd June via the examination drop box on the LMS site for THT3101
Ecotourism. Late submissions cannot be accepted.
Instructions to students:
• The final assessment task is in two (2) sections (A and B) and is worth 40
marks in total, which is 40% of the total marks for this subject
• You must answer all questions. Each section contains two (2) compulsory
questions and each question is worth 10 marks.
• Clearly indicate the question you are answering
• Please ensure that your name, student number, subject code and subject title are
on the front of your submission and on each page.
• You must include a signed AAPoly Assignment Coversheet with your
submission
STUDENT NAME
THT3101 – Ecotourism (BTHM) 2016 Semester 1
Page 1 of 5
STUDENT ID
THT3101 – Ecotourism (BTHM) 2016 Semester 1
Page 2 of 5
This take-home final assessment task comprises of two sections (A and B). Each section
contains two (2) compulsory questions and each question is worth 10 marks. For each
section, your answer should be a maximum of 1000 words in length (approximately 500
words per question) excluding a list of references. You must answer all questions.
The assessment seeks to assess your ability to analyse situations and express views based
upon sound arguments. Although it will be necessary for you to use references to support
your arguments, we are also interested in the reasoning of your answers. You should use no
more than four references for each section to support your analysis. The assessment
criteria for your answers are:
• depth of understanding of theories and concepts related to ecotourism and their use
and application;
• presentation of in-depth analysis and evaluation to address issues supported by
arguments and knowledge of ecotourism;
• standard of presentation;
• clarity of structure and analysis;
• relevant examples from the source materials and other sources; and
• clear and reasoned conclusions.
Note: whilst this final assessment task will take into account English expression, the use of
point form to express ideas is acceptable provided that there is a logical flow in the
arguments.
THT3101 – Ecotourism (BTHM) 2016 Semester 1
Page 3 of 5
Section A
Section A is worth 20 marks. You must answer both questions on the topic of ‘communitybased
ecotourism’ (CBET). Each question is worth ten (10) marks. Your answers to each
question should be approximately 500 words in length (excluding a reference list).
1. Analyse and evaluate the issues faced by rural communities in less developed countries
in developing community-based ecotourism (CBET), drawing on examples from the
Ecotourism Interactive Game and its application to the CBET case study project in
Chambok, Cambodia (10 marks).
2. Apply CBET principles and concepts and your judgment of the lessons learned from the
Ecotourism Interactive Game and CBET case study above, as well as other examples, to
develop CBET strategies that benefit local communities economically, socially and
culturally whilst minimising negative ecological and associated impacts. Provide
examples to support your answer (10 marks).
(Total 20 marks)
Section B
Section B is worth 20 marks. You must answer both questions on the topic of ‘best
practice ecotourism’. Each question is worth ten (10) marks. Your answers to each
question should be approximately 500 words in length (excluding a reference list).
1. Compare, contrast and evaluate Hong Kong Dolphin Watch and Green Discovery Tours’
Lao People’s Democratic Republic (PDR) in how its operations and activities meet the
main themes of the Global Sustainable Tourism Criteria developed by the Global
Sustainable Tourism Council. Suggest areas of improvement for each operation to meet
additional relevant criteria and be more sustainable (10 marks).
2. Critically assess quality control measures generally, such as certification and
accreditation, in enhancing ecotourism operations, products and activities to achieve
more sustainable ecotourism outcomes (10 marks).
THT3101 – Ecotourism (BTHM) 2016 Semester 1
Page 4 of 5
(Total 20 marks)
THT3101 – Ecotourism (BTHM) 2016 Semester 1
Page 5 of 5

2.

 

BSB119 GLOBAL BUSINESS STUDENT BOOKLET

 

SEMESTER TWO 2017   Tutorial Program

 

Tutorial schedule (Tutorials start in Week 2)

 

 

Date: Week Beginning

 

TOPIC

 

Week 1  24 July

 

No tutorial. Tutorials start in Week 2

Week 2: 31 July

Tute 1

Exercise 1  Introduction to Global Business

Case Study: Logitech’s global approach p.97

Week 3: 7 August

Tute 2

Exercise 2  Going International (1) Methods and Rationale

Case Study: International market entry at Starbucks p.471

Week 4: 14 August

Tute 3

Exercise 3 Country Comparison

Practice data provided in tute booklet

Week 5: 21 August

Tute 4

Assessment 1: Due before 11.59pm 25 August

Exercise 4 Cultural Diversity

Case Study: DMG Entertainment p.227

Week 6: 28 August

Tute 5

Exercise 5 Trade and Investment

Case Study: Foreign Direct Investment in Nigeria p.251

 

Week 7: 4 September

Tut 6

 

Exercise 6 Political Environments

Case study: Twenty-first century Socialism: Chavez’s Venezuela (Case will be provided)

Week 8: 11 September

Tute 7

Exercise 7  International Marketing

Case Study: Unilever: Selling to India’s poor p. 526

Week 9: 18 September

 

Assessment 2: Due before 11.59pm 22 September

No tutorial Lecture only this week.

Mid Semester Break
Week 10: 2 October

Tute 8

Exercise 8 Going International (2) Theories and Strategies

Case study: Ikea p.429

 

Week 11: 9 October

Tute 9

Exercise 9 Foreign Exchange & Finance

Case Study:  Billabong (Case will be provided)

Week 12: 16 October

Tute 10

Exercise 10 Global Production

 Case Study: Bluescope Steel: Different stage, different scale p. 562

 

Week 13 : 23 October

 

 No tutorial Lecture only this week.

 

 

 

Tutor’s name  ……………………………………………  

Tutor’s email ……………………………………………

 

 

 

TUTORIALS

 

Participation in tutorials is important

 

Each tutorial is based around a case study which shall be discussed in small groups assisted by your tutor as facilitator. Please read the cases before your tutorial. If you find it inconvenient to bring your textbook to class, photocopy the case and bring it with you or scan it and save it to your laptop.

 

Copies of the textbook are available for 2 hour loan from the Reserve section in each library.

 

ASSESSMENT SUMMARY

 

 

Item Title Due Date Weight
1. Case Study

 

Week 5

Due before 11:59pm  online via Safe Assign  Friday 25 August

20%
2. Country Analysis Report Week 9

Due  before 11:59pm online via Safe Assign Friday 22 September

30%
3. Final Examination Central Examination

Period ( 2-17 Nov)

50%
   

Total

 

100%

 

 

Tutorial One (Wk 2) Introduction to Global Business       

 

Exercise One Logitech’s Global Approach (page 97 of 4th ed Global Business Today)

 

(a) Explain ‘globalisation of production’. Can you relate this to Logitech’s operations?

 

(b) Discuss how ‘globalisation of markets’ may benefit a company like Logitech.

 

(c) As noted in the case, Logitech is not alone in exploiting China as a production location. Why do you think China is now a favoured location for so much high-technology manufacturing activity? Will increasing involvement in global trade benefit China? What potential problems are associated with moving work to China?

 

 

 Tutorial Two (Wk 3) Going International I: Methods and rationale

 

Exercise Two International market entry at Starbucks p.471

 

(a) Why is it important for firms like Starbucks to seek international markets?

 

(b) What are the entry modes used by Starbucks in their international operations? Discuss the advantages and disadvantages of these foreign market entry methods.

 

(c) As noted in the lecture, the New Trade Theory is one of the many theoretical approaches that attempts to explain international trade patterns. Discuss, using any suitable business examples, the two key issues highlighted in this theory.

 

 

Tutorial Three (Wk 4) Socio-Economic Environments          

 

Exercise Three

 

What conclusions could be drawn from this socio-economic data for firms considering doing business in these three countries?

 

Argentina Germany Vietnam
Population 81 million 43 million 92 million
Population density 15.8 per sq kilometre 233 per sq km 295 per sq km
Urban/Rural 92%/8% 76%/24% 34%/66%
GDP per capita $US13, 431 $US 41,219 $US 2, 111
GDP per capita PPP $US 17,554 $US 46,268 $US 6,022
Gini Index 42.6 37 30.1
Poorest 20%

Wealthiest 20%

4.8%

45.6%

7.4%

38.3%

4.9%

46.5%*Concentrated in top 10%

HDI .83 .91 .66
Unemployment 8.2% 5% 2.3%
Inflation 30%+ .8% 2.05%
Fixed broadband per 100 people 16 37 8

 

 

Record your ideas here:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Tutorial Four (Wk 5) Differences in Culture

Exercise 4 DMG Entertainiment (page 227 of 4th edition)

(a) Explain the concepts of guanxi and guanxiwang. Do you think these concepts can be applicable to managing business dealings with other cultures?

(b) What are the key factors contributing to DMV’s success in China?

(c) Using a country example for each, discuss the differences between a low-context and a high-context culture.

(d) Identify and explain the cultural dimensions proposed by Hofstede. Is Hofstede’s research always an accurate approach in explaining cultural differences between countries?

 

Tutorial Five (Wk 6) Trade and Investment          

 

Exercise 5 Foreign Direct Investment in Nigeria (page 251 of 4th edition)

 

(a) Why would companies like General Electric and Procter & Gamble invest directly in Nigeria? What are the potential benefits and risks?

(b) From Nigeria’s perspective as the host nation, what are the potential benefits and costs of inward foreign direct investment?

(c) Who gains and who loses when a government introduces tariffs on imports and subsidies to support domestic industries?

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Tute Six (Wk 7) Political Environments    

 

Exercise 6 Twentieth-first Century Socialism: Chavez’s Venezuela

 

Read the case “Chavez’s Venezuela” (see “Case Studies” folder on Blackboard) and answer the questions below.

Hill, C.W., Cronk, T. and Wickramasekera, R. (2011), Global Business Today: Asia Pacific Perspective, McGraw-Hill.

 

(1) Identify three types of potential political risks in Chevez’s Venezuela and give an example of each.

 

(2)  To what extent can political risk be assessed and managed?

 

(3)  Would the degree of political risk differ according to the type of business operating in Venezuela?

 

 

Tutorial Seven (Wk 8) Global Marketing          

 

Exercise 7 Unilever: Selling to India’s Poor (page 526 of 4th edition)

 

(1) Do you agree with Levitt’s argument regarding ‘globalisation of markets’? Why do you agree/disagree?

(2) From a marketer’s perspective, highlight and discuss the potential differences between marketing Unilever’s products in an emerging market like India and in a developed market like the US.

(3) How can the Indian market be segmented?

(4) The retail system in India tends to be very fragmented. Also, access to distribution channels may be difficult due to strong ties between local distributors and retailers. What distribution strategy would you advise the company to pursue? Why?

 

 

Tutorial Eight (Wk 10) Going International II: Theories and Strategies          

 

Exercise 8 Ikea (page 429 of 4th edition)

 

(1) What strategy was IKEA pursuing as it expanded throughout Europe and Australia during the 1970s and early 1980s—a multidomestic strategy, a global strategy or an international strategy? Explain.

 

(2) Why do you think this strategy did not work as well in North America as it did in Europe and Australia?

(3) Explain the strategy IKEA is pursuing now.  Does this strategy make sense?  Discuss the advantages and disadvantages of this strategy.

(4) Evaluate ways IKEA could service markets such as New Zealand without opening a store.

 

 

 

Tutorial Nine (Wk 11) Foreign Exchange and Finance          

 

Exercise 9 Billabong (see “Case Studies” folder on Blackboard)

 

(a)  You are assigned the duty of ensuring the availability of 500,000 Chilean pesos for payment that is scheduled for next month. Your company possesses Australian dollars $AUD; you identify the spot and forward exchange rates. What factors affect your decision in using spot versus forward exchange rates?

                                                                                                                       

(b)  How did exchange rate changes impact Billabong’s global sales revenue?

(c) To what currency risks was Billabong exposed to as a result of the rapid appreciation of the Australian dollar against world currencies? How may it have better managed these exposures?                                                                                               

(d)  How may Billabong use changes in distribution, product modifications and promotion to counter the negative effects of exchange rate and price changes?

 

 

Tutorial Ten (Wk 12) Global Production          

 

Exercise 10 BlueScope Steel (page 562 of 4th edition)

 

(a)   What are likely to be important factors that BlueScope would consider when selecting their manufacturing locations?

(b)   According to the case, BlueScope “produces at all stages, but not all stages are performed in all the countries in which it operates”. What do you think is the reason for this approach?

(c)   Why would motor vehicle manufacturers and building construction firms outsource steel products from companies like BlueScope? Why not produce their own steel products through vertical integration?

(d)   Why do you think BlueScope prefers decentralised production? Can you think of some businesses that may prefer concentrated (centralised) production?

 

  • Computer Science (Engineering Programme Project)

The Project which is difficult for you, however, it doesn’t matter, we have professional processors to help you, teach you, to let you understand the knowle

For Example:

The pattern detection problem

In this assignment, your goal is to write a python program to determine whether a given pattern appears in a data series, and if so, where it is located in the data series. This type of problems is very common in many disciplines, including computer science, engineering, medicine and science. There are many different types of pattern detection problems, the setting of this assignment is similar to that used in radars.  A radar transmits a pulse of a specific shape and waits for a pulse of similar shape to return, in order to determine the position of an object. The method described below is known as matched filtering and is widely used in communication systems. This means your mobile phones perform the same type of calculations that you will be programming below!

The goal is to detect whether a certain pattern appears in the data series. In the following example, the pattern to be detected is a sequence of 4 numbers (see Fig 2); and the data series contains 10 data points (see Fig 1).

data_series = [-1, 2, -2, 3, 41, 38, 22, 10, -1, 3]
pattern = [40, 30, 20, 10]

If you compare these two figures, you can see that this pattern appears between 5th (at index 4) to 8th (at index 7) data points of the data series. Note that it is not an exact match, but a fairly close one. Now you can spot the pattern using your eyes, let us see how an algorithm can do it.

Since the given pattern has 4 data points, we will take a segment of 4 consecutive data points from the data series at a time and compute a similarity measure. The similarity  measure should have the property that if a segment of the data series is similar to the given pattern, then the similarity measure of that segment is large, and vice versa. Hence, if we can compute the similarity measures of all possible segments, then we can identify the segment that is most similar to the given pattern. We will now provide more details.

The algorithm begins with computing the similarity measure between the given pattern and the first segment, which is formed by the first 4 data points of the data series. In terms of the two lists above, the similarity measure for the first segment is:

data_series[0]*pattern[0] + data_series[1]*pattern[1] + data_series[2]*pattern[2] + data_series[3]*pattern[3]

After this, we compute the similarity measure between the given pattern and the second segment, which is formed by the second to fifth data points of the data series. For the above example, the similarity measure for this segment is:

data_series[1]*pattern[0] + data_series[2]*pattern[1] + data_series[3]*pattern[2] + data_series[4]*pattern[3]

We then do the same with the segment formed by the third to sixth data points (the third segment), giving a similarity measure equals to:

data_series[2]*pattern[0] + data_series[3]*pattern[1] + data_series[4]*pattern[2] + data_series[5]*pattern[3]

We repeat this until we have computed the similarity measure for the last possible segment, which is formed by the 7th to 10th data points. The following is the similarity list for the above example and a plot:

similarity = [10, 490, 1210, 2330, 3320, 2370, 1190]

We need to consider the following cases.

Case 1: It is possible that the given data series is shorter than the given pattern, in this case, we return “Insufficient data”.

Case 2: All the similarity measures are (strictly) less than the given threshold value. This means none of the segments is similar to the given pattern. In this case, we say the pattern is not present in the data series and return “Not detected”. This is not the case for this example.

Case 3: At least one similarity measure is greater than or equal to the given threshold value. This is the case for this example. The similarity measure plot above shows that the fifth similarity measure is the largest. You can work out that the fifth similarity measure is computed by using the segment formed by the fifth (index 4) to eighth (index 7) data points of the data series. This procedure is therefore telling us that the segment consisting of fifth to eighth data points is most similar to the given pattern. Indeed this is what we had found by using visual inspection earlier. We will identify the location of the pattern by using the first index of the segment that has the highest similarity measure.

  • function pattern_search_max(described below): we return the index of the highest similarity measure that is also greater than or equal to the given threshold value. In Fig 3, the index of the highest similarity measure is 4.
  • function pattern_search_multiple(described below): Consider the following definition of overlapping indices,

We say two indices are overlapping if the distance between them is less than the width of the pattern (4 in the above example).

The function ‘pattern_search_multiple’ returns a list of non overlapping indices that are greater than or equal to the given threshold valueand that satisfy the following criteria:

    • an index is not selected if the value at the index is less than a value at one of it’s overlapping indices.
    • an index is not selected if it is overlapping with first or last index.

In the following example, selected indices are marked with green circles. Here, index 6 is not selected because the value at index 5 (distance of 1) is greater than the value at index 6. Similarly index 32 is not selected because the value at index 34 (distance 2) is higher. The example in Fig 4 will return the list [5, 16, 34].

There are many different approaches to calculate similarity measures between data segments and a pattern, above we have discussed just one of them! Therefore, a given data series representing similarity measures may or may not have clearly defined ‘pyramid’ patterns as shown in Fig 3. For example, there are no clearly defined ‘pyramid’ patterns in Fig 4.

This completes the description of the tasks

Implementation requirements

You need to implement the following four functions, each in a separate file (provided). You need to submit these four files, each containing one function you implement.

  1. def calculate_similarity(data_segment, pattern):
    • The aim of this function is to calculate the similarity measure between one data segment and the pattern.
    • The first parameter ‘data_segment’ is a list of (float) values, and the second parameter ‘pattern’ is also a list of (float) values. The function calculates the similarity measure between the given data segment and pattern and returns the calculated similarity value (float), as described earlier in this assigment. The function returns “Error” if ‘data_segment’ and ‘pattern’ have different lengths.
    • This function can be tested using the file ‘test_calculate_similarity.py’.
  1. def calculate_similarity_list(data_series, pattern):
    • The aim of this function is to calculate the similarity measures between all possible data segments and the pattern.
    • The first parameter ‘data_series’ is a list of (float) values, and the second parameter ‘pattern’ is also a list of (float) values. The function calculates the similarity measures, using the above function ‘calculate_similarity’, of all possible data segments in a sequence, and returns the list of calculated similarity values.
    • This function can be tested using the file ‘test_calculate_similarity_list.py’.
  1. def pattern_search_max(data_series, pattern, threshold):
    • The three possible outcomes are “Insufficient data”, “Not detected” and the location of the pattern if the pattern is found in the data series. Here, the location of the pattern refers to the index of the highest similarity measure that is also greater than or equal to the given threshold value.
    • The first parameter ‘data_series’ is a list of (float) values, the second parameter ‘pattern’ is a list of (float) values, and the third parameter ‘threshold’ is a (float) value. In this function, you need to use the function ‘calculate_similarity_list’.
    • This function can be tested using the file ‘test_pattern_search_max.py’.
  1. def pattern_search_multiple(data_series, pattern_width, threshold):
    • The three possible outcomes are “Insufficient data”, “Not detected” and a list of non overlapping indices that are greater than or equal to the given threshold valueand that satisfy the following criteria:
      • an index is not selected if the value at the index is less than a value at one of it’s overlapping indices.
      • an index is not selected if it is overlapping with first or last index.

We say two indices are overlapping if the distance between them is less than the width of the pattern.

    • The first parameter ‘data_series’ is a list of (float) values, the second parameter ‘pattern_width’ is a (float) value, and the third parameter ‘threshold’ is a (float) value.
    • This function can be tested using the file ‘test_pattern_search_multiple.py’.

Getting Started

  1. Download the zip file ass1_prelim.zip, and unzip it. This will create the directory (folder) named ‘ass1_prelim’.
  2. Rename/move the directory (folder) you just created named ‘ass1_prelim’ to ‘ass1‘. The name is different to avoid possibly overwriting your work if you were to download the ‘ass1_prelim.zip’ file again later.
  3. First browse through all the files provided, and importantly read comments in the files.
  4. Do not try to implement too much at once, just one function at a time and test that it is working before moving on.
  5. Start implementing the first function, properly test it using the given testing file, and once you are happy, move on to the the second function, and so on.
  6. Please do not use ‘print’ or ‘input’ statements. We won’t be able to assess your program properly if you do. Remember, all the required values are part of the parameters, and your function needs to return the required answer. Do not ‘print’ your answers.

Testing

Test your functions thoroughly before submission. You can use the provided python programs (files like ‘test_calculate_similarity.py’, ‘test_pattern_search_max.py’, ‘test_pattern_search_multiple.py’, etc.) to test your functions. Please note that the tests provided in these files cover only basic scenarios (cases), you need to think about other possible cases, modify the files accordingly and test your functions. For example, you need to add cases to test for “Insufficient data” and “Not detected” scenarios.

Submission

You need to submit the following four files. Do not submit any other files. For example, you do not need to submit your modified test files.

  • calculate_similarity.py
  • calculate_similarity_list.py
  • pattern_search_max.py
  • pattern_search_multiple.py

Later, instructions on how to submit your files will posted here.

Assessment Criteria

We will test your program thoroughly and objectively. This assignment will be marked out of 25 where 20 marks are for correctness and 5 marks are for style.

Correctness

The 20 marks for correctness are awarded according to these criteria.

Criteria Nominal marks
Function calculate_similarity 4
Function calculate_similarity_list 4
Function pattern_search_max 3
Function pattern_search_multiple 5
Case “Insufficient data” 2
Case “Not detected” 2

 

Style

Five (5) marks are awarded by your tutor for style and complexity of your solution. The style assessment includes the following, in no particular order:

  • Use of meaningful variable names where applicable
  • Use of sensible comments to explain what you’re doing
  • Use of docstring for documentation to identify purpose, author, date , data dictionary, parameters, return value(s) and program description at the top of the file

Assignment Originality

You are reminded that work submitted for assessment must be your own. It’s OK to discuss approaches to solutions with other students, and to get help from tutors and consultants, but you must write the python code yourself. Sophisticated software is used to identify submissions that are unreasonably similar, and marks will be reduced or removed in such cases.

Further Information

  • Additional Help Sessions will be available for this assignment during week-06 to week-08.
  • Use the forum to ask general questions about the assignment, but take specific ones to Help Sessions.
  • Keep an eye on the class webpage notice board for updates and responses.

 

  • Furthermore, we provide consulting service for you for other’s problem.

 

 

UNSW ENGG 1811

Assignment 1

The pattern detection problem

In this assignment, your goal is to write a python program to determine whether a given pattern appears in a data series, and if so, where it is located in the data series. This type of problems is very common in many disciplines, including computer science, engineering, medicine and science. There are many different types of pattern detection problems, the setting of this assignment is similar to that used in radars.  A radar transmits a pulse of a specific shape and waits for a pulse of similar shape to return, in order to determine the position of an object. The method described below is known as matched filtering and is widely used in communication systems. This means your mobile phones perform the same type of calculations that you will be programming below!

Learning objectives

By completing this assignment, you will learn:

  1. To apply programming concepts of variable declaration, constant declaration, assignment, selection and iteration (for loop).
  2. To translate an algorithm described in a natural language to a computer language.
  3. To organize programs into smaller modules by using functions.
  4. To use good program style including comments, meaning variable names and others.
  5. To get a practice on software development, which includes incremental development, testing and debugging.

Algorithm for locating a pattern in a data series

The goal is to detect whether a certain pattern appears in the data series. In the following example, the pattern to be detected is a sequence of 4 numbers (see Fig 2); and the data series contains 10 data points (see Fig 1).

data_series = [-1, 2, -2, 3, 41, 38, 22, 10, -1, 3]
pattern = [40, 30, 20, 10]

 

If you compare these two figures, you can see that this pattern appears between 5th (at index 4) to 8th (at index 7) data points of the data series. Note that it is not an exact match, but a fairly close one. Now you can spot the pattern using your eyes, let us see how an algorithm can do it.

Since the given pattern has 4 data points, we will take a segment of 4 consecutive data points from the data series at a time and compute a similarity measure. The similarity  measure should have the property that if a segment of the data series is similar to the given pattern, then the similarity measure of that segment is large, and vice versa. Hence, if we can compute the similarity measures of all possible segments, then we can identify the segment that is most similar to the given pattern. We will now provide more details.

The algorithm begins with computing the similarity measure between the given pattern and the first segment, which is formed by the first 4 data points of the data series. In terms of the two lists above, the similarity measure for the first segment is:

data_series[0]*pattern[0] + data_series[1]*pattern[1] + data_series[2]*pattern[2] + data_series[3]*pattern[3]

After this, we compute the similarity measure between the given pattern and the second segment, which is formed by the second to fifth data points of the data series. For the above example, the similarity measure for this segment is:

data_series[1]*pattern[0] + data_series[2]*pattern[1] + data_series[3]*pattern[2] + data_series[4]*pattern[3]

We then do the same with the segment formed by the third to sixth data points (the third segment), giving a similarity measure equals to:

data_series[2]*pattern[0] + data_series[3]*pattern[1] + data_series[4]*pattern[2] + data_series[5]*pattern[3]

We repeat this until we have computed the similarity measure for the last possible segment, which is formed by the 7th to 10th data points. The following is the similarity list for the above example and a plot:

similarity = [10, 490, 1210, 2330, 3320, 2370, 1190]

We need to consider the following cases.

Case 1: It is possible that the given data series is shorter than the given pattern, in this case, we return “Insufficient data”.

Case 2: All the similarity measures are (strictly) less than the given threshold value. This means none of the segments is similar to the given pattern. In this case, we say the pattern is not present in the data series and return “Not detected”. This is not the case for this example.

Case 3: At least one similarity measure is greater than or equal to the given threshold value. This is the case for this example. The similarity measure plot above shows that the fifth similarity measure is the largest. You can work out that the fifth similarity measure is computed by using the segment formed by the fifth (index 4) to eighth (index 7) data points of the data series. This procedure is therefore telling us that the segment consisting of fifth to eighth data points is most similar to the given pattern. Indeed this is what we had found by using visual inspection earlier. We will identify the location of the pattern by using the first index of the segment that has the highest similarity measure.

  • function pattern_search_max(described below): we return the index of the highest similarity measure that is also greater than or equal to the given threshold value. In Fig 3, the index of the highest similarity measure is 4.
  • function pattern_search_multiple(described below): Consider the following definition of overlapping indices,

We say two indices are overlapping if the distance between them is less than the width of the pattern (4 in the above example).

The function ‘pattern_search_multiple’ returns a list of non overlapping indices that are greater than or equal to the given threshold valueand that satisfy the following criteria:

    • an index is not selected if the value at the index is less than a value at one of it’s overlapping indices.
    • an index is not selected if it is overlapping with first or last index.

In the following example, selected indices are marked with green circles. Here, index 6 is not selected because the value at index 5 (distance of 1) is greater than the value at index 6. Similarly index 32 is not selected because the value at index 34 (distance 2) is higher. The example in Fig 4 will return the list [5, 16, 34].

There are many different approaches to calculate similarity measures between data segments and a pattern, above we have discussed just one of them! Therefore, a given data series representing similarity measures may or may not have clearly defined ‘pyramid’ patterns as shown in Fig 3. For example, there are no clearly defined ‘pyramid’ patterns in Fig 4.

This completes the description of the tasks

Implementation requirements

You need to implement the following four functions, each in a separate file (provided). You need to submit these four files, each containing one function you implement.

  1. def calculate_similarity(data_segment, pattern):
    • The aim of this function is to calculate the similarity measure between one data segment and the pattern.
    • The first parameter ‘data_segment’ is a list of (float) values, and the second parameter ‘pattern’ is also a list of (float) values. The function calculates the similarity measure between the given data segment and pattern and returns the calculated similarity value (float), as described earlier in this assigment. The function returns “Error” if ‘data_segment’ and ‘pattern’ have different lengths.
    • This function can be tested using the file ‘test_calculate_similarity.py’.
  1. def calculate_similarity_list(data_series, pattern):
    • The aim of this function is to calculate the similarity measures between all possible data segments and the pattern.
    • The first parameter ‘data_series’ is a list of (float) values, and the second parameter ‘pattern’ is also a list of (float) values. The function calculates the similarity measures, using the above function ‘calculate_similarity’, of all possible data segments in a sequence, and returns the list of calculated similarity values.
    • This function can be tested using the file ‘test_calculate_similarity_list.py’.
  1. def pattern_search_max(data_series, pattern, threshold):
    • The three possible outcomes are “Insufficient data”, “Not detected” and the location of the pattern if the pattern is found in the data series. Here, the location of the pattern refers to the index of the highest similarity measure that is also greater than or equal to the given threshold value.
    • The first parameter ‘data_series’ is a list of (float) values, the second parameter ‘pattern’ is a list of (float) values, and the third parameter ‘threshold’ is a (float) value. In this function, you need to use the function ‘calculate_similarity_list’.
    • This function can be tested using the file ‘test_pattern_search_max.py’.
  1. def pattern_search_multiple(data_series, pattern_width, threshold):
    • The three possible outcomes are “Insufficient data”, “Not detected” and a list of non overlapping indices that are greater than or equal to the given threshold valueand that satisfy the following criteria:
      • an index is not selected if the value at the index is less than a value at one of it’s overlapping indices.
      • an index is not selected if it is overlapping with first or last index.

We say two indices are overlapping if the distance between them is less than the width of the pattern.

    • The first parameter ‘data_series’ is a list of (float) values, the second parameter ‘pattern_width’ is a (float) value, and the third parameter ‘threshold’ is a (float) value.
    • This function can be tested using the file ‘test_pattern_search_multiple.py’.

Getting Started

  1. Download the zip file ass1_prelim.zip, and unzip it. This will create the directory (folder) named ‘ass1_prelim’.
  2. Rename/move the directory (folder) you just created named ‘ass1_prelim’ to ‘ass1‘. The name is different to avoid possibly overwriting your work if you were to download the ‘ass1_prelim.zip’ file again later.
  3. First browse through all the files provided, and importantly read comments in the files.
  4. Do not try to implement too much at once, just one function at a time and test that it is working before moving on.
  5. Start implementing the first function, properly test it using the given testing file, and once you are happy, move on to the the second function, and so on.
  6. Please do not use ‘print’ or ‘input’ statements. We won’t be able to assess your program properly if you do. Remember, all the required values are part of the parameters, and your function needs to return the required answer. Do not ‘print’ your answers.

Testing

Test your functions thoroughly before submission. You can use the provided python programs (files like ‘test_calculate_similarity.py’, ‘test_pattern_search_max.py’, ‘test_pattern_search_multiple.py’, etc.) to test your functions. Please note that the tests provided in these files cover only basic scenarios (cases), you need to think about other possible cases, modify the files accordingly and test your functions. For example, you need to add cases to test for “Insufficient data” and “Not detected” scenarios.

Submission

You need to submit the following four files. Do not submit any other files. For example, you do not need to submit your modified test files.

  • calculate_similarity.py
  • calculate_similarity_list.py
  • pattern_search_max.py
  • pattern_search_multiple.py

Later, instructions on how to submit your files will posted here.

Assessment Criteria

We will test your program thoroughly and objectively. This assignment will be marked out of 25 where 20 marks are for correctness and 5 marks are for style.

Correctness

The 20 marks for correctness are awarded according to these criteria.

Criteria Nominal marks
Function calculate_similarity 4
Function calculate_similarity_list 4
Function pattern_search_max 3
Function pattern_search_multiple 5
Case “Insufficient data” 2
Case “Not detected” 2

 

Style

Five (5) marks are awarded by your tutor for style and complexity of your solution. The style assessment includes the following, in no particular order:

  • Use of meaningful variable names where applicable
  • Use of sensible comments to explain what you’re doing
  • Use of docstring for documentation to identify purpose, author, date , data dictionary, parameters, return value(s) and program description at the top of the file

Assignment Originality

You are reminded that work submitted for assessment must be your own. It’s OK to discuss approaches to solutions with other students, and to get help from tutors and consultants, but you must write the python code yourself. Sophisticated software is used to identify submissions that are unreasonably similar, and marks will be reduced or removed in such cases.

Further Information

  • Additional Help Sessions will be available for this assignment during week-06 to week-08.
  • Use the forum to ask general questions about the assignment, but take specific ones to Help Sessions.
  • Keep an eye on the class webpage notice board for updates and responses.

 

Answer:

This is the answer, the description will be very wonderful.

 

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ENG 5811 Critical and Systems Thinking Semester 1 2018
Critical Analysis Essay

Weighting: 40%
Length: 1,500 words (+/- 10%)
Due date and submission:
Week 6: Friday 20 April by 11.59 pm via Turnitin. Late penalties apply!
Please attach a 150 word abstract to the first page of your essay. Abstract and reference list are in addition to the 1,500 word limit.
Task description You are expected to prepare a written response to the essay task below. The essay is designed to improve you critical thinking and research skills. As this is a major piece of written assessment and you are expected to find your own sources, you should start your research early and devote significant effort to submitting a quality piece of work. You should start your preliminary research for the essay now in week 4. The essay requires solid research and reading and it should not be based on the required and recommended readings or the lecture material alone, additional research is needed.
It is expected that you will use a minimum of eight (6) academic sources (e.g. journal articles, text books or book chapters). You must also use Harvard referencing style.
You should present your essay with an introduction, a carefully considered logical argument, a clear critical position and an appropriate conclusion. Please do not use any sub-headings in your essay as they interrupt the flow of argument.
Essay task:
Drawing on theory and evidence, critically analyse the claim that the traditional view of project management must change. Its view as a value-neutral competence where project success and failure are identifiable and at polarized ends is responsible for the high project failure rate in the past.
What do you need to do:
The essay is predominantly a presentation, classification and evaluation of what other researchers have written on the subject and the significance for professional practice. You must do more than describe! Instead you should:
 compare and contrast different authors’ views
 group authors to draw similar conclusions
 critique aspects of methodology
 identify areas in which authors are in disagreement
 highlight gaps in research
 synthesise findings and draw conclusions
 construct a continuous line of argument
ENG5811 S. Ludewig
 take a critical position
 use Harvard referencing style
Assessment Criteria
 use of relevant literature/knowledgeof theory
 understanding of theory and evidence
 synthesis
 depth of analysis
 structure and clarity of position
 critical reasoning/critical thinking
 continuity of line of argument
 ability to use correct citations and referencing technique
 clarity of writing style, e.g. appropriate use of grammar, vocabulary and punctuation, paragraphing, clarity of expressions
 conforming with instructions (word count, Harvard referencing style, timely submission)
Feedback – What, when and how feedback will be provided for this assessment
Teaching staff will provide feedback online inside the actual Turnitin submission link using a marking rubric combined with specific personalised comments for improvement. The feedback will be provided approximately 2 weeks after the submission date.
Essay writing tips:
How to start
 Understand what you need to do (instruction question)
 Look at the assessment criteria (and see checklist below)
 Define keywords
 Choose relevant and current readings
 Read abstracts, introductions and conclusions first. Make notes.
 Grow your ideas
 Make an outline and locate the readings in the outline
 Find your argument/s
 Make your first draft, second, third draft …
Quality check list questions:
Knowledge and understanding
 What are the key debates in your essay?
Evidence and analysis
 In one sentence: What are you going to say?
 What points do you want to make?
Reading and research
 How will you supported the points you want to make
For more help on how to analyse and critique as well as general essay writing guidelines visit this excellent website: http://writesite.elearn.usyd.edu.au/
Harvard referencing guide: http://libguides.library.usyd.edu.au/c.php?g=508212&p=3476130

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MGB201 Contemporary Employment Relations – Assessment tasks 1 and 2 – Some clarification.

We have received a number of queries from students seeking greater clarification of assessment tasks 1 and 2 so hopefully the following will provide the necessary guidance.

The aim of Assessment Task 1 is to have you analyse a case study from the perspective of one of either the State, Employers, or the Unions.  What this means is that you will need to use the theories/concepts and so on from ONE of these perspectives, and only one to analyse the case study.  The main thrust of this assessment task is to provide you an opportunity to concentrate on a specific area of interest in relation to a specific theory of Contemporary Employment Relations.

The aim of assessment task 2 is to reflect on how your analysis would/would not differ if you use a different perspective to that you used in your first assessment task.  For example, if you concentrated on the State, then you would need to reflect on how your analysis might change if you had used the theories/concepts from either the employers or the unions.  Again, you only use ONE theory/concept.

This does not mean you have to incorporate all three theories/concepts into the one analysis.  Rather you use ONE theory concept as the focus point and only introduce the other theories/concepts as your main focus requires.  You need to be very careful you do not finish up using all three concepts equally in your analysis.  Your analysis has to clearly focus on the one, central, topic and the theories and concepts that make up this topic.

By the time you have completed both assessment tasks you should have an understanding of how taking a different perspective on an ‘event’ can result in differing understandings of the dynamics of any situation and why various parties to the ‘event’ can interpret the ‘event’ so differently.

In summary – The point of assessment task 1 is to analyse a case study from the perspective of either the state, employers, or the union.  Basically you need to take the theory of one of the three concepts and then use this theory to analyse the case.  The theory will give you the perspective you need to analyse the case.  The second assessment task is designed to complement the first – how might your analysis have been different if a different theoretical perspective had been used.

The overall goal of both assignment 1 and assignment 2 is to try and get you to appreciate how the theoretical position you bring to bear on any employment situation can vary depending up the view you use.

Assignment 1 – Further Instruction

MGB201: Semester 1, 2018

Purpose of the assignment/s:  to examine how one’s paradigm/set of assumptions/world-view shapes the way situations are analysed and perceived.

These principles will be applied to a employment-related case study to better understand how our outlook and paradigm (theoretical perspective) can shape our perception of a situation.  In Assessment two, you will reflect on the process by which you detach yourself from your own world-view to consider another perspective.

How to complete Assignment 1:

  1. Read the case on the Oaky mine (found on Blackboard). Easy!
  2. Choose a topic (actor in the employment relationship) that interests you (that is, the role of State, Employer Representation or Unions). So let’s say, you chose Employers, then your focus of the essay will be on the perspective of employers view of the conflict in the case (and in general) based on your theoretical perspective (e.g Pluralism).
  3. Pick a theoretical perspective (theories include: Unitarism, pluralism, radicalism – these are explained in chapters 2 and 3 of the textbook as well as in the lecture). Consider your own perceptions and chose a theory which resonates with your world-view. Hint: You may find you change your mind or see the issue differently as you complete assignment one. That’s fine and means you are on the right track. Stick with your original choice of theory and when you write Assignment two, you’ll have more to reflect on when you consider the issue from a different theoretical perspective.
  4. Find research/sources to support your examination of the role of the actor (e.g. State) in the case and wider context (i.e in employment relationships outside the mining case). This example is for those of you who chose the State… if you chose the unitarist view then you will view actions directed toward gaining harmonious outcomes – employers and employees working together for a common goal and it is the role of the state to provide the framework for this to happen. So, you would look at the case study and analyse what actions could be taken to promote the harmonising of both the parties in the dispute in order to reach a common goal. 
  5. Remember in the lecture, I highlighted the list of 6 ‘implications’ detailed on the instruction sheet. What implications does this issue have on the employment relationship – and wider contexts in which it operates? Hint: arguing means that you need to argue, using evidence to justify you position – you will need to argue that your perspective is appropriate given the viewpoint you are using.
  6. Finally, you will provide practical recommendations. The key to your recommendations is to find a way so that the implications of your actions will provide solution/s to the problems you identify, using your chose issue/perspective. For example, if you chose Employers, you need to be able to argue the position of the employer based on a specific set of assumptions/theories.

 

Formatting:

Whilst we haven’t prescribed strict formatting requirements, the standard essay writing conventions apply. Review QUT’s Citewrite resources for additional guidance.

  • 5 line spacing, page numbers, sub-headings are highly recommended
  • APA or Harvard referencing
  • Word count: 2000 words (plus or minus 10%)

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Page 1 of 8
MKC1200 – PRINCIPLES OF MARKETING
Assignment 4: Individual Assignment – the STP Essay (15%) 1500 WORDS
Due date: Week 8 by 11 PM, Friday 27th April 2018 (Moodle submission)
**********************************************************************************
Segmentation, Targeting, and Positioning (hereafter referred to as STP) is one important marketing strategy commonly used by marketers to align their products with the right customers. This strategy is essentially an analytical tool that assists marketers to make critical decisions about (1) whom their products should target and (2) how to position their products (relative to competitors’ products) so that they are accurately perceived by the selected target market.
Your main task is to put yourself in the place of a marketing analyst, and critically evaluate the STP strategy used by Hello Fresh, as shown below. In particular, you are required to (1) identify the targeting strategy used by Hello Fresh in the meal-kit/ food delivery market, (2) determine the specific target market for this product and identify the segmentation variables used to derive this target market, (3) analyse the bases of product positioning strategy for this product, and (4) create a perceptual map for the meal-kit/ food delivery market based on two selected evaluative criteria (not the combination price/quality).
NOTE: your analysis should focus on the Australian market ONLY.
hellofresh.com.au 2018
Page 2 of 8
For this task, you are expected to:
1. Research the company and the product extensively; in particular, how the product is promoted in Australia.
2. Collect any online and offline promotional materials used for the Hello Fresh service. Promotional materials include, but are not limited to, advertisements, brochures, and websites.
3. For Hello Fresh, describe its targeting strategy in the meal-kit/ food delivery market by taking into consideration the range(s) of its product offerings. Identify its specific target market based on the information/evidence provided in promotional materials and other relevant resources. More specifically, describe the market segment profile of this target market. Then, identify the segmentation variables used to derive this target market. Furthermore, critically analyse the bases used to position this product.
4. Finally, briefly research the other brands that compete in the meal-kit/ food delivery market. Create a perceptual map for this market by taking into consideration two evaluative criteria (not the combination price/quality) and plotting Hello Fresh and three other brands on the map. The justified selections of the two evaluative criteria (not the combination of price/quality) and the three other brands are of your choice.
More detailed information:
 You are expected to use at least 6 references in total for this assignment. The essay should be fully and correctly referenced using the APA 6th referencing style. The same reference should not be used more than five times. Moreover:
 You must use at least two marketing textbooks as references.
 You must use at least three academic journal articles (Note: a limit of two references from the course reading list applies).
 Promotional print materials (newspapers, magazines, flyers, product brochures) should be included as references where appropriate.
 Wikipedia and lecture slides should not be used as references.
 The format must be a structured essay with section headings. Chapter 5 of the Q-manual provides further guidelines on essay writing. You should use headings to better structure your essay. Tables and figures can also be used to better represent some information. No bullet points are allowed.
 Formatting requirements: You must use Times New Roman size 12 font, 1.5 line spacing, fully justified paragraphs and 2.54 cm margins on A4 pages. Pages should
Page 3 of 8
be numbered. The first page is a title page which includes your name and student ID, tutor’s name, and word count. You are encouraged to use some creativity when producing the title page (e.g. colours, company logo, product pictures).This is to be followed by the first page of the essay (numbered page 1- the title page is not numbered).
 Word limit: 1500 words excluding title page and references. The rationale behind the word limit is to encourage more concise writing and focus on the main task. Note that 10% of the marks allocated to this assessment task will be deducted if the submitted essay is less than 1350 words or over 1650 words.
 Note that 50 marks will be deducted from your final essay mark if you do NOT reference (cite) your work at all (i.e. no in-text citation and reference list). However, 25 marks will be deducted from your final essay mark if you do not have in-text citation or a reference list. In addition, where there are reasonable grounds for believing that plagiarism has occurred, this will be reported to the Chief Examiner for further investigation.
Pre-submission to-do-list:
 Read the assessment rubric (the last page of this document) so you know which components are assessable. The rubric will help you to focus on important elements expected to be discussed in your final essay.
 If you are not familiar with the APA6th referencing style, seek advice from the “Research and Learning Point” in the library. Being able to do in-text citation and compile a reference list is a standard expectation when writing an academic essay. Allow time to reference your work properly.
 Do NOT submit on the due date at exactly around the due time. Submit at least 2-3 hours earlier to avoid potential technical problems. No special consideration will be granted as a result of last day technical problems. So late submission means that a penalty applies.
 Save a copy of your essay file on a USB or a CD or your email in case you are asked to resubmit.
Submission details:
 A softcopy of this essay must be submitted.
 SOFT COPY of Assignment 4
 The soft copy of this essay (in .pdf, .docx or .doc format) must be uploaded on the unit Moodle site no later than 11 PM on Friday 27th April 2018 AEST.
 Note that on the Moodle site, you need to read and agree to the “Plagiarism Declaration and Student Statement” before uploading the essay.
 Note that only ONE document can be uploaded (in .pdf/.docx/.doc format). The title page, the essay, and the references must be one single document.
Page 4 of 8
 Note that your tutor will mark the soft copy of the essay and a late submission penalty is based on the soft copy submission. In addition, the unit coordinator and your tutor have the right to use this soft copy to conduct the plagiarism test when necessary.
 A penalty will apply to late submissions (i.e. any time after 11 PM AEST).
Penalty for late submissions:
 The late lodgement of the written assignment will incur a penalty.
 Penalty for late submission: 10% of the marks allocated to this assessment task will be deducted for each 24hrs (or part thereof) that the paper is late. This also applies to weekends.
Applications for extension of time
 A deadline extension will be considered only after a Special Consideration form has been submitted to the Chief Examiner, with appropriate supporting evidence. Submission of an application does not guarantee an extension. Applications for extensions must be submitted as early as possible, and in any event, no later than 48 hours after the deadline.
 Approval, if granted, will be given in writing (in hard copy or via email) by the Chief Examiner only.
Page 5 of 8
ESSAY WRITING GUIDELINES FOR THE STP PROJECT
Here we provide the essay structure that we expect you to follow when completing your task.
Please keep in mind that the essay structure below is our minimal expectation of your work.
You are encouraged to consider other elements not listed under each heading below as long these elements are relevant to your main task and can potentially enhance the quality of your work.
Also, you are reminded that you must follow the APA 6th referencing style for both in-text citations and the reference list.
*********************************************************************************************************
Introduction
 Clearly state the purpose of the essay
 Provide a brief discussion of the company and the focal product under investigation
Targeting strategy
 Discuss Hello Fresh’s targeting strategy in the meal-kit/ food delivery market
 Fully justify the targeting strategy using marketing theories and evidence from your research
Target market and Segmentation Variables
 Provide a detailed discussion on the specific target market of Hello Fresh
 Describe the market segment profile of this target market
 Fully justify the target market based on evidence from your research
 Discuss segmentation variables used to segment the market
 Fully justify these segmentation variables using marketing theories
Product positioning
 Discuss the positioning of this product, including the bases for positioning
 Fully justify this positioning strategy using marketing theories and evidence from your research
Perceptual mapping
 State the two evaluative criteria chosen to draw the perceptual map (not the combination price/ quality).
 Justify why you chose these two criteria
 Draw the perceptual map
 Plot Hello Fresh and three other meal-kit/ food delivery brands on the perceptual map.
Page 6 of 8
 Justify why you put the brands in their respective locations
 Explain what the perceptual map actually tells us
Conclusions
 Summarise your main findings
Reference List
Appendices
 You can include all paper-based promotional materials for Hello Fresh
 You can take pictures of the promotional materials and insert them here
 You can include all online promotional materials for Hello Fresh
 Websites – state the website URL
 Videos – state the video URL
 You can include all paper-based and online promotional materials used by the other brands that you investigate
Page 7 of 8
MKC1200 Assessment Task 4 Marketing Essay: Marking Rubric Essay content quality (80%)
Fail
Pass
Credit
Distinction
High Distinction
Introduction of purpose (5%)
Lacks statement of purpose
Statement of purpose is unclear/not coherent
Statement of purpose is clear
Statement of purpose is logical, clear, and concise
Purpose is well stated: persuasive, clear, concise, logical, and coherent
Introduction of the company and the product (5%)
Lacks introduction of company and product
Some attempt to introduce the company and product
Adequate introduction of company and product
Clear and appropriate introduction of company and product.
Comprehensive, clear, concise and appropriate introduction of company and product
Discussion on the company’s targeting strategy (15%)
Discussion of targeting strategy is lacking or incorrect without any supporting evidence
Discussion of targeting strategy is present and seems correct but without any supporting evidence; no evidence of critical analysis
Discussion of targeting strategy is present and somewhat correct with adequate supporting evidence; limited evidence of critical analysis
Discussion of targeting strategy is present and mostly correct with strong supporting evidence; critical analysis is thorough
Discussion of targeting strategy is present and correct with strong supporting evidence; critical analysis is confident, thorough and well-articulated
Discussion on the product’s target market (10%)
Discussion of target market is lacking or incorrect without any supporting evidence
Discussion of target market is present and seems correct but without any supporting evidence; no evidence of critical analysis
Discussion of target market is present and somewhat correct with adequate supporting evidence; limited evidence of critical analysis
Discussion of target market is present and mostly correct with strong supporting evidence; critical analysis is thorough
Discussion of target market is present and correct with strong supporting evidence; critical analysis is confident, thorough and well-articulated
Discussion on segmentation variables (10%)
Discussion of segmentation variables is lacking or incorrect without any theoretical support
Discussion of segmentation variables is present and seems correct but without any theoretical support; no evidence of critical analysis
Discussion of segmentation variables is present and somewhat correct with adequate theoretical support; limited evidence of critical analysis
Discussion of segmentation variables is present and mostly correct with strong theoretical support; critical analysis is thorough
Discussion of segmentation variables is present and correct with strong theoretical support; critical analysis is confident, thorough and well-articulated
Discussion on product positioning (15%)
Discussion of product positioning is lacking or incorrect without any theoretical support
Discussion of product positioning is present and seems correct but without any theoretical support; no evidence of critical analysis
Discussion of product positioning is present and somewhat correct with adequate theoretical support; limited evidence of critical analysis
Discussion of product positioning is present and mostly correct with strong theoretical support; critical analysis is thorough
Discussion of product positioning is present and correct with strong theoretical support; critical analysis is confident, thorough and well-articulated
Discussion on perceptual mapping (15%)
Discussion of perceptual mapping is lacking or incorrect without any theoretical support
Discussion of perceptual mapping is present and seems correct but without theoretical support; no evidence of critical analysis
Discussion of perceptual mapping is present and somewhat correct with adequate theoretical support; limited evidence of critical analysis
Discussion of perceptual mapping is present and mostly correct with strong theoretical support; critical analysis is thorough
Discussion of perceptual mapping is present and correct with strong theoretical support; critical analysis is confident, thorough and well-articulated
Conclusions (5%)
Conclusion is missing, logically incorrect, and/or incoherent
Conclusion is somewhat logical, concise and coherent
Conclusion is mostly logical, concise and coherent
Conclusion is all logical, concise and coherent
Conclusion is logical, concise and coherent; all arguments are summarised well
Page 8 of 8
Essay presentation quality (10%)
Fail
Poor
Acceptable
Excellent
Formatting
Do not follow the essay formatting requirements at all
Follows some of the essay formatting requirements
Mostly follows essay formatting requirements
Follows all essay formatting requirements
Clarity of expression
The errors in grammar, capitalisation, spelling & punctuation impede understanding
Frequent errors in grammar, capitalisation, spelling & punctuation
Occasional errors in grammar, capitalisation, spelling & punctuation
There are few or no errors in grammar, capitalisation, spelling & punctuation
Coherency
Sentences and sections mostly lack coherence
Sentences and sections often lack coherence
Sentences and sections are generally coherent
Sentences and sections are coherent Essay resources quality (10%)
Fail
Poor
Acceptable
Excellent
Amount of supporting information
Do not use any required references at all
Uses less than minimum number of required references
Satisfactory – uses minimum number of required references
Uses multiple relevant resources beyond the minimum requirements with extensive variety in types of sources selected
Quality of supporting information
All sources lack credibility and/or relevance to the task
Some sources lack credibility and/or relevance to the task
Most sources are appropriate, credible, and relevant to the task
All sources are highly appropriate, credible, and relevant to the task
Referencing supporting information
Do not use the APA6th style when referencing supporting information
Obvious lack of effort in referencing supporting information in APA6th style
Mostly follows APA6th style in referencing supporting information
Accurately and consistently follows APA6th style in referencing supporting information
Citing supporting information
Do not use the APA6th style when citing supporting information
Obvious lack of effort in citing supporting information in APA6th style
Mostly follows APA6th style in citing supporting information
Accurately and
consistently follows
APA6th style in citing
supporting information
Further Comments:
____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
____________________________________________________________________________________________________________________________________________________________________________
____________________________________________________________________________________________________________________________________________________________________________
____________________________________________________________________________________________________________________________________________________________________________

 

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Assignment 1 (Literature Review)
Individual Assignment
HI5019 STRATEGIC INFORMATION SYSTEMS T1 2018
WEEK 6 Friday 5 pm

Each student will write a literature review of NOT more than 2500 words. The review should demonstrate that the student has thoroughly researched their topic. Students should use examples of business practice from the scholarly journals papers, conferences, books and professional magazines to support their arguments
The literature review would be on an organisation (company) that is using accounting software packages in Australia. The research would cover:

problems (e.g., inefficiency, errors) do you think the organisation could experience because of this structure?
3. What is the most likely system acquisition method— commercial software, custom software, or ERP?
4. Describes and prepare a system flowchart of the sales procedures for the chosen organisation (company)
5. Identify any control problems in the system and what sorts of fraud are possible in this system?
PART 2
1. Development and adoption of the accounting software packages,
2. The current market size,
3. Identify the leaders in the market and what gives them the competitive advantage,
4. Identify the current gaps or challenges encountered by users or customers of accounting software/packages and make relevant suggestions or recommendations.
2 | P a g e
HI5019 SIS INDIVIDUAL ASSIGNMENT T1 2018
Submission Requirements:
Research reports are to be presented in size 12 Times New Roman or 10 Calibri Font and double spaced. The research should include a list of at least 5 references used in the research report and a bibliography of the wider reading done to familiarize oneself with the topic.
Submission:
 Soft copy to self-check and Final Submission with cover sheet
You are reminded to read the “Plagiarism” section of the course description. Your research should be a synthesis of ideas from a variety of sources expressed in your own words. All reports must use the Harvard referencing style. Marking rubrics are attached.
Assessment Criteria:
Score
Very Good (12-15)
Good (9-11)
Satisfactory (8-10)
Unsatisfactory (5-7)
Presentation and writing style
/15 marks
Information is well organized. Correct layout including times new roman, font size 12 or calibri, font size10, double spaced. About the right length.
Very well written, excellent paraphrasing and proper grammar and punctuation are used throughout.
Information is organized, Correct layout including times new roman, font size 12 or calibri, font size10, double spaced. About the right length.
Well written, some paraphrasing and proper grammar and punctuation
Information is somewhat organized, Some elements of layout or length incorrect.
Proper grammar and punctuation mostly used, but overuse of direct quotes.
Information is poorly organized, Some elements of layout or length incorrect.
Proper grammar and punctuation not always used. Excessive overuse of direct quotes
Score
Very Good (12-15)
Good (9-11)
Satisfactory (8-10)
Unsatisfactory (5-7)
Introduction
/15 marks
Introduces the topic of the research report in an extremely engaging manner which arouses the reader’s interest.
Gives a detailed general background and indicates the overall “plan”.
Introduces the topic of the research report in an engaging manner which arouses the reader’s interest.
Gives some general background and indicates the overall “plan” of the report.
Satisfactorily introduces the topic of the research report.
Gives a general background.
Indicates the overall “plan” of the report.
Introduces the topic of the research report, but omits a general background of the topic and/or
the overall “plan” of the report.
Score
Very Good (17-20)
Good (13-16)
Satisfactory (10-12)
Unsatisfactory (6-9)
Evidence of Research
/20 marks
Substantial range of appropriate and current, supportive evidence
Good range of appropriate and current, supportive evidence.
Suitable range of supportive evidence used. Not always appropriate and/or current. Minimum cited.
Insufficient range or number of supportive evidence used.
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HI5019 SIS INDIVIDUAL ASSIGNMENT T1 2018
Score
Very Good (25-30)
Good (20-24)
Satisfactory (15-19)
Unsatisfactory (9-14)
Development of Discussion
/30 marks
Logical, insightful, original discussion with well-connected paragraphs. Evidence of full engagement with the literature found, with relevant and detailed analysis.
Detailed, original discussion develops logically with some connection between adjoining paragraphs. Understanding of reading shown. Some relevant analysis.
Adequate discussion develops logically.
Understanding of reading shown. Few relevant analysis.
Inadequate discussion of issues and/or lacking in logical flow
Little/no demonstrated understanding of reading.
None/little discussion or analysis.
Score
Very Good (9-10)
Good (7-8)
Satisfactory (5-6)
Unsatisfactory (3-4)
Conclusion
/10 marks
An interesting, well written summary of the main points.
An excellent final comment on the subject, based on the information provided.
A good summary of the main points.
A good final comment on the subject, based on the information provided.
Satisfactory summary of the main points.
A final comment on the subject, but introduced new material.
Poor/no summary of the main points.
A poor final comment on the subject and/or new material introduced.
Score
Very Good (9-10)
Good (7-8)
Satisfactory (5-6)
Unsatisfactory (3-4)
Referencing
/10 marks
Correct referencing (Harvard)
All quoted material in quotes and acknowledged.
All paraphrased material acknowledged.
Correctly set out reference list and bibliography included.
Mostly correct referencing (Harvard)
All quoted material in quotes and acknowledged. All paraphrased material acknowledged.
Mostly correct setting out reference list and bibliography included.
Mostly correct referencing (Harvard) Some problems with quoted material and paraphrased material
Some problems with the reference list or bibliography.
Not all material correctly acknowledged.
Some problems with the reference list or bibliography.
Total
/100 marks
Final marks
/20
General Comments:

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