Category: Writing

Just looking for ideas on dissertation topics. The lack of youth within the management in construction was an idea?

CRITICAL THINKING, WORD PROCESSING, AND FISHBONE ANALYSIS
SLP Assignment Expectations
In this course, you will be working on a Session Long Project known as the SLP. Each Module, you will be tasked with completing a portion of the overall project. In this Session Long Project, you will focus on an industry that interests you for the duration of the course. You will use IBISWorld to gather your information.
Accessing IBISWorld:
Click “Additional Library Resources” on the Portal Home Page which takes you to the “Additional Library resources” screen.
Scroll down and click on “IBISWorld” which will take you to the IBISWorld Home Page.
Your journey into a selected industry begins by clicking on the first listing in the gray-shaded box,
US Industry Reports (NAICS)
.
Once you’re in the
Reports
screen, you’ll see an alphabetized listing of major industries. Each listing has a number in parenthesis behind it. This tells you the number of different areas that you can choose from. You can access those areas by either clicking directly on the Industry or by going to the next box below the Industry listings. For example; let’s look at the very first one under “Browse Reports”,
Accommodation and Food Services (13)
. We can either click on it which brings you to another alphabetized listing showing specific types of accommodation and food services in the US. Or just go to the box and look at the areas under
Accommodation and Food Services
. Let’s use the box and look at the very first one, Report number
72111 – Hotels and Motels
.
As you can see, a long page full of information pops up. The best way to start your research is to view the video by clicking on the old-time movie camera icon to the right of the industry definition. This gives you a brief overview of all the information available on the page. Once you’ve viewed the video, work your way down the page to get familiar with all the different areas. You’ll see that there are eight topic areas, each of which has specific sub-areas. These topic areas are: Industry Definition; The Supply Chain; Major Players; Main Activities; Similar Industries; Additional Resources; Industry Jargon; Glossary. It is from these sub-areas that much of your data for this SLP and subsequent assignments will come from.
Select an Industry Report that looks interesting to you.
Thoroughly review the Report Snapshot and use MS Word to type-up a 1-2 page paper highlighting the key factors regarding the Industry. Please review the following MS Word Presentation: Introduction to MS Word Presentation:
https://s3.amazonaws.com/tuitestbucket/Introduction+to+Microsoft+Word+(Web)/index.html
Deliverables:
Please describe the industry you are reviewing and why it is of interest to you.
Add the Industry definition.
Discuss components of The Supply Chain such as: Supply Industries, Related Industries, Key Economic Drivers, Demand Industries, Related International Industries, etc.
Discuss the Major players and the Main Activities.
Use the “Industry at a Glance” tab to discuss Key Statistics Snapshot such as: Revenue, Profit, Annual Growth, Wages, and Businesses.
Additional resources for using MS Word:
https://courses.lumenlearning.com/informationliteracy/chapter/microsoft-word-2013-lectures/

Using one or more of the following HSB variables,
religion
,
mosaic pattern test
, and
visualization score
:
(a) Write an associational question.
(b) Write a difference question.
(c) Write a descriptive question.

Player
State
Mass
Height
VJ
5m
10m
20m
Sharay Fortner
QLD
101.15
192
67
0.95
1.68
2.86
Halley Minor
NSW
88.60
196
72
1.04
1.75
3.02
Laura Bass
QLD
104.85
193.5
68
1.00
1.72
2.96
Natalie Sutton
NSW
86.20
172
64
1.00
1.72
2.90
Faadil al-Sawaya
ACT
75.15
175.0
65
0.98
1.71
2.95
Daamir al-Mowad
NSW
83.30
187
65
0.99
1.72
2.98
Dominick Peters-Maloy
ACT
85.20
183.0
65
1.05
1.74
3.00
Tamara Russell
QLD
93.2
185
75
1.05
1.85
3.19
Warren Goto
QLD
75.05
180.5
61
0.94
1.73
2.94
Ricardo Garcia
ACT
72.90
184.0
59
0.98
1.71
2.91
Logan Hade
QLD
78.85
182
66
1.03
1.76
3.06
Sabreen el-Soltani
ACT
97.55
198.0
66
1.07
1.82
3.07
Kelsey Tandon
NSW
75.90
181
58
0.97
1.72
2.92
Yaasmeen al-Ramin
NSW
83.40
180
59
1.00
1.73
2.95
Kanaan el-Salek
NSW
71.90
180
55
0.95
1.66
2.88
Zakiyya al-Saidi
QLD
85.55
184
61
1.08
1.79
3.00
Madhurima Vo
ACT
96.05
183
64
1.08
1.81
3.06
Tre Medina
NSW
91.20
195
59
1.03
1.77
2.98
MacWarren Williams
ACT
95.80
187.0
66
1.09
1.83
3.12
Darrien Moore
NSW
73.05
175.5
59
1.01
1.76
2.99
Adam Rhodes
QLD
77.65
174
57
1.01
1.72
2.96
Xavier Fisher
QLD
91
174.5
60
1.03
1.76
3.02
Adriana Huffman
NSW
85.10
180
56
1.02
1.78
2.97
Jesse Corral
ACT
80.75
179.5
57
1.03
1.75
3.02
Annabel Barthe
QLD
81.65
179
57
1.00
1.77
3.02
John Seng
QLD
112.4
181
60
1.02
1.79
3.08
Tayler Mathews
QLD
82.5
175
61
1.08
1.82
3.10
Michael Xiong
ACT
79.30
184.0
55
1.01
1.79
2.99
Jack Pierce
ACT
83.50
188.5
56
1.02
1.77
3.01
Cymone Brown
NSW
82.10
176
52
0.99
1.71
2.95
Sherman Odom
NSW
84.30
177.5
53
1.03
1.76
2.97
Davis Lindgren
QLD
81.90
182
54
1.00
1.75
2.99
Anita Lee
NSW
71.70
178
58
1.06
1.80
3.07
Jocelyn Jumper
ACT
88.05
178.0
62
1.10
1.85
3.15
Yonatan Ahmed
ACT
75.60
171.5
56
1.02
1.78
3.04
Zong Moin
ACT
76.95
184.0
56
1.02
1.80
3.04
Joshua Harris
QLD
97.3
178
57
1.03
1.78
3.06
Jenise Kremlacek
NSW
85.25
178
59
1.08
1.82
3.11
Fawqiyya al-Nazar
QLD
83.85
174
59
1.07
1.82
3.11
Zumruda al-Diab
ACT
74.70
172.8
60
1.13
1.85
3.13
Kerry Webber
ACT
82.20
175.0
51
1.00
1.74
2.96
Zumruda el-Younis
NSW
88.30
183.5
54
1.05
1.76
3.02
Sheridan Alexander
NSW
78.55
165
57
1.09
1.87
3.08
Samuel Carpintero-Diaz
NSW
89.40
191
59
1.06
1.81
3.12
Kevin Lopez
ACT
82.65
179.0
54
0.99
1.77
3.03
Mariah Cordova-Garcia
NSW
87.25
184.5
57
1.07
1.83
3.09
Shane Minjarez
ACT
74.25
174.0
54
1.04
1.80
3.05
Tyler Smith
QLD
87.7
182
56
1.05
1.81
3.10
Christian Nguyen
ACT
62.95
175.0
57
1.07
1.81
3.12
Joseph Moore
QLD
73.3
171
53
1.04
1.79
3.05
Trevor Talusani
NSW
104.50
180
57
1.11
1.83
3.13
Jarom Shumpert
NSW
55.95
167.15
48
0.99
1.74
2.96
Jack Tackett
ACT
86.50
175.2
55
1.08
1.84
3.10
Seung Iese
ACT
104.70
59
1.14
1.89
3.18
Daniel Garcia
QLD
90.4
193
55
0.99
1.81
3.11
Haley Sharza
ACT
82.65
180.0
53
1.07
1.81
3.08
Andrew Kelemeni
QLD
82.65
183.5
50
1.06
1.81
3.04
Devon Naranjo
NSW
85.75
177.5
52
1.04
1.81
3.08
Wakiyan Perez
QLD
85.2
189
57
1.14
1.88
3.18
Sarena Clark
ACT
89.00
182.0
52
1.04
1.81
3.09
Ivan Lerma
NSW
70.35
175
51
1.02
1.78
3.08
Cory Udechukwu
NSW
92.95
192.5
53
1.10
1.85
3.12
Fawzia al-Kazemi
NSW
95.95
176.5
50
0.99
1.78
3.07
Zackary Hecht
ACT
93.20
189.0
52
1.07
1.82
3.11
Imari Milan
ACT
102.50
180.0
54
1.06
1.82
3.15
Turfa el-Jabara
ACT
92.70
190.0
56
1.08
1.85
3.19
Travis Casey
ACT
87.65
184.0
51
1.08
1.83
3.10
Briannah Holt
QLD
95.6
202
57
1.12
1.90
3.22
Christopher Sorensen
QLD
86.4
180.5
48
1.06
1.78
3.05
Renee Rocha
NSW
90.65
170
49
1.04
1.79
3.07
Ibrahim al-Firman
QLD
56
1.15
1.89
3.21
Cole Hamilton
ACT
75.30
169.0
53
1.07
1.84
3.17
Zhaney Lawson
NSW
90.70
197
53
1.06
1.86
3.17
Jason Laychaypha
ACT
96.10
188.5
54
1.09
1.85
3.19
Steven Ji
ACT
86.90
196.0
55
1.06
1.85
3.21
Sierra Sizemore
QLD
70.60
174
48
1.03
1.81
3.09
Faith Larson
NSW
70.25
171
50
1.07
1.85
3.13
Amber Irvin
QLD
76
185
50
1.10
1.85
3.14
Tecumseh Haulman
NSW
107.10
183
51
1.05
1.84
3.17
Alexandra Bednarek
ACT
74.85
172.5
48
1.07
1.83
3.12
Summer Garnier
QLD
86.65
181
48
1.04
1.83
3.12
Marek Harding
QLD
117.85
189
51
1.12
1.91
3.18
Alisa Hines
QLD
67.00
174
50
1.14
1.90
3.17
Cheyenne Rubner-Lansing
QLD
89
178
52
1.06
1.89
3.21
Christina Lowry
NSW
110.20
180
53
1.11
1.88
3.23
Katie Schar
ACT
87.75
179.0
51
1.05
1.89
3.20
Mariah Pasang
NSW
84.70
180
48
1.04
1.79
3.15
Tameema el-Mohiuddin
ACT
108.15
183.0
53
1.15
1.92
3.25
Brianna Lara
QLD
94.4
189.5
51
1.09
1.88
3.22
Daniel Patel
ACT
124.70
187.0
50
1.11
1.89
3.21
Anthony Forbis
NSW
85.85
181
47
1.06
1.83
3.16
Musheera el-Ayub
ACT
84.05
174.0
48
1.07
1.88
3.20
Tristan Shay
QLD
93.70
196
51
1.11
1.88
3.26
Jacob Mcilveen
ACT
76.80
177.0
51
1.18
1.94
3.27
Amanda Rendon-Hernandez
ACT
75.45
178.0
52
1.10
1.90
3.29
Carlo Castellot
NSW
93.45
191
50
1.12
1.91
3.27
Cheyenne Perez
NSW
75.90
171.5
45
1.11
1.90
3.20
Isaiah Prasad
NSW
73.15
179.5
50
1.21
1.98
3.33
Naaifa al-Hai
ACT
102.10
181.0
44
1.11
1.88
3.22
Eemoni Phelan
ACT
92.20
188.0
45
1.11
1.90
3.25
Angela Engel
NSW
100.80
176
45
1.10
1.90
3.26
Tihut Barnes
ACT
101.80
191.5
46
1.12
1.93
3.28
Payton Clarin
NSW
102.30
190
46
1.12
1.92
3.29
Sri Manuel
ACT
80.75
180.0
45
1.20
1.97
3.32
QinQin Huynh
ACT
107.80
179.0
46
1.16
1.95
3.38
Neima Westphal
QLD
99
187
41
1.12
1.92
3.29
Jonathan Fredericks
NSW
93.20
182
46
1.14
1.95
3.39
Harrison Hanson
NSW
99.20
185
42
1.11
1.92
3.33
Tiasha Baheta
NSW
119.75
183
38
1.12
1.91
3.28
Kendall Heidrich
NSW
96.05
168
40
1.15
1.93
3.35
Natasha Sheriff
QLD
116.15
182.5
45
1.10
1.97
3.48
Evan Le
ACT
97.65
184.2
45
1.25
2.09
3.50
Urian Scott
ACT
91.15
179.0
39
1.18
1.99
3.39
Dante Wright
ACT
89.30
172.5
40
1.19
2.01
3.41
Laaiqa el-Rafiq
ACT
94.10
179.0
38
1.15
2.01
3.45
Attachments:
5873991_1_exsc317-assessment-3—aru-speed-vj-data.xlsx

1. Dr. Jane Barbin lecture
1. What does she say is the number one challenge?
2.Why does she recommend not using a “bank” of goals?
3.Comment on her ideas regarding mastery criteria.
4.What does she say about data collection?
5.How did she rework the attending goal?
6. What made the revised goal better?
7.Comment on the list of accommodations?
8. Describe the potential utility oftwo of them.
9.Describe the elements of effective parent-professional collaboration shecites.
Part 2
2.Go to this link
http://theautismhelper.com/fan-favorite-post-iep-goal-writing/(Links to an external site.)Links to an external site.
and answer the following questions:
1.What does the author say about goals?
2.Comment on the sample goals? What do you notice about them?
3.What do you think of this resource for parents and for educators?
4.Explore this site. What topics interested you?
Part 3
3.After reviewingSchwartz’s lectures from ABAI Autism Conference answer
these questions: (half a page each question)
1.What are the main points that Dr. Schwartz makes about inclusion?
2. How do you feel that her recommendations and suggestions help usto fulfill our mission of meaningful inclusion?
3. What did you learn about successful inclusion from this lecture?
4. What gaps do you see in service delivery/implementation?
5. Whatimpediments exist to fulfilling this vision?
BACK
Part 4
6. Consider completing the EXTRA CREDIT from the Ultimate Outcomes Lecture:
For 2 learners write 1 ultimate goal each and provide 3 intermediate outcomes.
Attachments:
5888394_1_AUT537-Study-Questions.docx

Overview In this assessment, you are required to submit an individual report for the following two cases: 1. AuCement 2. Ambulance Victoria You are required to provide insights into large datasets for the two cases. You will use appropriate data visualization techniques with interpretations to communicate these insights in a managerial report. Each report in the assessment is of equal weighting. Please note: Datasets provided have been modified for this assessment. You can access the datasets on the assessment page in Canvas. Linked Course Learning Outcomes • CLO 1 Evaluate the key concepts of business analytics and assess the results generated to deliver positive outcomes • CLO 2 Outline the relationship of the business analytics process within the organisation’s decisionmaking process • CLO 3 Access relevant business data and pre-analyse the data to the exact specifications andvariables After completion of this assessment you should be able to: • Work with real data and gain understanding of type of data available in various organisations • Apply basic analysis to understand the data in order to provide managerial insights 2 Assessment details Case 1: AuCement AuCement want to research customer satisfaction on a new product across different Australian cities. They produce many types of cement products at its factory in Sydney which they sell in Sydney, Brisbane, Canberra, and Melbourne. Six months ago, the company established a new cement facility to produce a new 20Kg packaged cement. The company sells this new product for a competitive price. In every contract the price of the product is partly based on the delivery time. To investigate sales further, the company surveyed the customers who have purchased this new product and a sample of 50 receipts was selected. For a better comparison, the delivery time has been scaled through dividing the hours spent for delivering the order by distance (kilometres) travelled and weight (kilograms) of the order. The AuCement file (available on the Canvas assessment page) contains data showing the customer’s location, the payment type, the scaled delivery time, customer satisfaction, and price for every tonne of this product paid by each of 50 customers. AuCement would like to get some insights from the collected data. You are required to use descriptive analytics methods to provide insights to the data sets. Create a managerial report for AuCement Apply the appropriate descriptive statistics methods to analyse the provided datasets for AuCement. You must include your interpretation of the data in your report. Include the following in your report: • Data-visualization methods including 5 plots/tables that give insights on the AuCement dataset. • Your interpretation of each table or plot in one paragraph. • Each paragraph is limited to 150words. Remember: • To use concise language • To add titles to diagram axis • There is no requirement for introduction or conclusion • Read and follow submission format details below
Attachments:
5888390_1_isys3375-assessment-1-brief-tp320–4-.pdf

This course has not taught server side programming, so your program is limited to a single browser window, and cannot load or save. Your web page will have:- 1. A section for inputting customer records (called the “Input Customer Records” section). 2. A section for displaying the short fields of multiple records (called the “Sort and Select” section). The following is an illustration of how your web page might appear. Please note:- ? The look and feel shown in the image above is generated by CSS (Cascading Style Sheet) as per the provided template. ? You are NOT required to use the template. ? You are NOT required to use CSS. ? You are NOT required to duplicate the look and feel of the above illustration. A very plain web page with no styling is acceptable, as is a different styling. Customer Records Each customer record includes the following fields:- ? record id: A simple integer uniquely identifying the installation. ? surname: The customer’s surname. ? gName: The customer’s given name. ? phone: The customer’s contact phone number. ? email: The customer’s contact email address. ? addr: The address of the solar installation (which is not necessarily the place where the customer lives). ? state: The state of the solar installation (part of the address really). ? pcode: The post code of the solar installation (part of the address really). ? instDate: The date that the solar was installed. ? invModel: The model of the inverter that was installed. ? capacity: Maximum combined power output of the solar cells installed in kilowatts. (It is normal that the inverter model is chosen to cope with more than what the solar cells can produce.) The Input Customer Records section The user fills out the fields in this section, and then presses the “enter” button to add the customer record. On success the web application will add the record, and also blank out (remove text from) the fields in preparation for the next record entry. The web application validates the fields and won’t permit an invalid customer record to be entered if any of the fields are invalid.
Attachments:
5872767_1_a3-instruction-sort.pdf
5872767_2_draft-sort.rar
5872767_3_sample.png