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Assignment CoversheetDeakin Business SchoolDepartment of Inf.docx
- 1. Assignment Coversheet Deakin Business School Department of Information Systems & Business Analytics Student ID: TYPE YOUR Student ID HERE Campus: TYPE YOUR CAMPUS HERE Last Name: TYPE YOUR LAST NAME HERE First Name: TYPE YOUR FIRST NAME HERE THIS ASSIGNMENT REQUIRES YOU SUBMIT ONLINE VIA CLOUDDEAKIN ONLINE submission –This coversheet must be completed and submitted with your assignment. Your assignment will only be considered if you have completed this attachment and included it with your assignment as instructed. MIS171 Business Analytics Assignment 1 Lecturer: TYPE YOUR LECTURERS NAME HERE Tutor: TYPE YOUR TUTORS NAME HERE
- 2. THIS ASSIGNMENT MUST BE COMPLETED INDIVIDUALLY PLAGIARISM AND COLLUSION Plagiarism occurs when a student passes off as the student’s own work, or copies without acknowledgement as to its authorship, the work of another person. Collusion occurs when a student obtains the agreement of another person for a fraudulent purpose with the intent of obtaining an advantage in submitting an assignment or other work. Work submitted may be reproduced and/or communicated for the purpose of detecting plagiarism and collusion. DECLARATION I certify that the attached work is entirely my own (or, where submitted to meet the requirements of an approved group assignment, is the work of the group), except where material quoted or paraphrased is acknowledged in the text. I also certify that it has not been submitted for assessment in any other unit or course. SIGNED: TYPE YOUR FULL NAME AGAIN HERE DATE: TYPE THE DATE HERE An assignment will not be accepted for assessment if the declaration appearing above has not been signed by the author. If the assessment task involves group work, marks will be allocated only to students in the group who have completed and submitted a copy of this form. By completing and including this form with your assignment submission, you are declaring that the submission is entirely your own, except where material quoted or paraphrased is referenced in the text. You are also declaring that it has not
- 3. been submitted for any other assessment in any other Unit or Course. You are advised to ensure a copy of your work is saved. SS 17th March 2017 1 | P a g e SBM4104 IT Infrastructure Assignment 2: Proposal Propose an IT Infrastructure Design Solution for iTech Company Date due: Type: Week 10
- 4. Individual assignment Weighting: 40% Rationale Practical exercises assess students’ ability to apply theoretical learning to practical, real world situations. This is Individual assignment that each student must design and configure an IT infrastructure solution for a small organization. A hard copy report of approximately 2500 must be provided to present your proposed ideas. The report must satisfy the following specific criteria: 1. Demonstrate ability to plan, locate information using the Internet, organisations and publications and analyse this information. 2. Demonstrate knowledge of IT Infrastructure and design a network using building-
- 5. block approach. 3. Simulate and configure network devices as one step towards network implementation and testing. 4. Demonstrate the ability to determine cloud base services that suit enterprise requirements. Case Study A software development company, iTech has a 900-computer network. The company is located in three adjacent five-story buildings in an office park, with about 300 computers in each building. The LAN in each building are similar, but one building- data centre building (DCB) has data centre on the second floor. The data centre
- 6. provides web and email services to the enterprise employee. In addition, it provides dynamic IP assign, share file and DNS services. The domain name of the company is: www. iTech.org.au. The current network is poorly designed for its current needs and must be completely replaced. The head officer of the IT department wants to get two design proposal of the new network. The first design considers the dedicated server techniques by hosting all the iTech servers within its buildings. While the Cloud hosting to be considered in the second design. Develop a logical design for the DCB of this enterprise campus. Your design must demonstrate a detail logical design based on three-layers hierarchal model. The design should
- 7. include the set of required servers, network devices, and connection with justification and 2 | P a g e supported diagrams. You have to make some assumptions with the required justifications for your design. Task Specifications Prepare a report to propose a network design for the iTech company. Use the building-block approach to design the network for the company. Your design proposal should consider the followings:
- 8. I. Using dedicated server design 1. Developing logical network design that includes the geographical scope of the network and a categorization of current and future network needs of the various network segments, users, and applications. 2. Develop a detail logical design based on three-layers hierarchal model. The design should include the set of required network devices and servers, with the justification. 3. Specify the IP addresses, subnet masks to the various networks and control the process by which IP addresses are assigned to individual clients and servers. 4. Use network simulator (Cisco Packet Tracer) to simulate part of the DCB network.
- 9. The simulation scenario should include the access layer devices, web server, DHCP, and DNS. Your scenario should demonstrate how the client computers dynamically obtained IP network configuration including IP, DNS, and default gateway addresses. In addition, you have to demonstrate how the client accessing the web server. II. Using Cloud hosting design: Propose two organizations that provides Cloud services for hosting the DCB servers. Justify your answer by explaining the level of services each company provides that suit the iTech requirements. You have to make some assumptions with the required justifications for your design.
- 10. Report Layout The proposal report should be organised using the following headings and guidelines: 1. A Cover Title Page 2. Introduction a. Should clearly define the aims and objectives of the project in the report b. Explain what contents will be covered in the report c. Organization description. 3. Discussion on IT infrastructure components required. 4. The three-layers hierarchal model a. Introduction b. Analyse the current and future iTech IT Infrastructure requirements. c. Geographical scope of the network. d. Discussion on the possibility of scaling of the iTech network. 5. Dedicated server design proposal
- 11. a. Identify all the services and servers required. 3 | P a g e b. Propose logical design supported with diagrams and justification. c. List of IP addresses and network mask for all the networks. 6. Cloud based design proposal a. Identification of two cloud service organization with justification b. List of services the organization provides that suit the iTech network design requirements. 7. Network simulation. a. Access layer diagram including web, DHCP, and DNS servers.
- 12. b. DHCP configuration. c. DNS and web servers configurations. d. Demonstration and explanation how the clients dynamically obtain network configuration and accessing web server with the domain: www. iTech.org.au. 8. Conclusions and Recommendations 9. References SBM4104 IT Infrastructure Semester 2, 2017 Worth 40% Marking Guide Student Name: ___________________ Student ID: ___________________
- 14. Obtained Relevance to the topic (20%) - Business/ organization description. - Identify IT infrastructure components. Critical analysis (20%) - Analyse the current and future business/ organization IT Infrastructure requirements. - Analyse and plan for applications scaling.
- 15. Proposal-design (20%) - Identify all the services and servers required. - Propose logical design supported with diagrams and justification. - Consider Cloud. Extent of reading and simulation (10%) 4 | P a g e
- 16. - The proposed solution supported with a satisfactory coverage of simulation relevant to the tasks requirements. Logical structure (20%) - The introduction is appropriate to the type and format of response and clearly outlines the focus. - The body of the response is well structured, with appropriate sections/ paragraphs.
- 17. - The conclusion is appropriate and summarizing the key ideas. Writing style/grammar and Referencing (10%) - There is no spelling or typing errors. - Key ideas from the literature are effectively paraphrased and/or quoted. - In-text citations and direct quotes follow referencing guide
- 18. rules (correct and complete) - Reference list appropriately compiled. TOTAL MARKS: 100 Total Marks Obtained: Comments: Lecturer: Location: Date: DataDescriptionBLITZ Department StoreRandom Sample of 300 (100 each from 3 different stores) actual BLITZ Customers were interviewed.Customers were asked a range of questions about BLITZ Products, average spend, shopping frequency and their shopping habits in general.Variable Name and
- 19. Description:Customer:Numbered: 1-100 : Melbourne, 101-200 : Sydney, 201-300 : PerthCity:1 = Melbourne2 = Sydney3 = PerthAge:Age of respondent (years). Age Band:Age group of respondent. (Less than 30 years, 30-40 years ,40-50 years, 50 or more)Sex:Gender of respondent, Male / FemaleTime Spent Per Visit:Average time in minutes spent by customer during a visitVisits Per Month:Average number of days shopping at BLITZ stores during a monthSpend Per Visit:Average amount spent during a visit to BLITZ storesBLITZ Online:Whether the respondent shopping at BLITZ Online store. 1-Shop at BLITZ online store, 0 - Don't shop at BLITZ online store.Internet @ Home:Whether the respondent has access to internet at home, 0 - Customer does not have access to the internet from home, 1 - Customer has access to the internet from homeHousehold size:The number of people in the respondent's householdHousehold Income:The annual net income from all sources of the household for the last financial yearLoyalty Program AwarenessWhether the customer aware of the BLITZ loyalty program. YES - Customer aware of the loyalty Program NO - Customer unaware of the loyalty programAlready A Member?:Whether the customer is a member of BLITZ loyalty program. YES -Customer is a member, NO - Not a memberLoyalty Club:Loyalty program tier if a member (BLUE, SILVER, PLATINUM, NONE - Not a member)Shopping BehaviourMEN SHOP:1 - Shop in the Men's section 0 - Don't
- 20. shop in the Men's sectionWOMEN SHOP:1 - Shop in the Women's section 0 - Don't shop in the Women's sectionBEAUTY:1 - Shop in the Beauty section 0 - Don't shop in the Beauty sectionKIDS & TOYS1 - Shop in the Kids & Toys section 0 - Don't shop in the Kids & Toys sectionHOME1 - Shop in the Home section 0 - Don't shop in the Home sectionELECTRICAL1 - Shop in the Electrical section 0 - Don't shop in the Electrical sectionGIFTS1 - Shop in the Gifts section 0 - Don't shop in the Gifts section SurveyDataCustomer NoCityAgeGenderTime Spent Per VisitVisits Per MonthSpend Per VisitBLITZ OnlineInternet @ HomeHousehold sizeHousehold IncomeLoyalty Program AwarenessAlready A Member?Loyalty ClubMEN SHOPWOMEN SHOPBEAUTYKIDS & TOYSHOMEELECTRICALGIFTS1Melbourne24FEMALE52311 5NONO259000NONONONE01000112Melbourne29FEMALE263 113NOYES368000NONONONE01111103Melbourne31FEMALE 444127NONO345000NONONONE01111104Melbourne32FEMA LE50563NOYES253000NONONONE01110105Melbourne29FE MALE483130YESYES567000NONONONE01111106Melbourne 28MALE37135NOYES4110000YESYESBLUE00011107Melbou rne35MALE374107YESYES475000NONONONE00111108Melb ourne24MALE383119NONO586000NONONONE11010109Melb ourne27FEMALE404119YESYES453000YESYESSILVER01110 0110Melbourne30FEMALE36590NOYES474000YESNONONE0
- 38. e1Non- Mng191.20.21110.4201416301252Insecure1Dist'n3010138Male 0Non- Mng195.35147.416101450750Insecure1Dist'n3010139Male0Non -Mng197.24.812111118910943Very secure3Prod'n2100040Female1Non- Mng1102.93.31413917712733Very secure3Prod'n2100041Male0Non- Mng1971.21797165305.222Secure2Dist'n3000142Female1Non- Mng194.50.388.5141254011.531Secure2Prod'n2000043Female1 Non- Mng193.551198154901027Insecure1Dist'n3010144Female1Non- Mng1103.23.81310.6142111904.644Secure2Dist'n3000145Male 0Non-Mng11074.5149171112883.555Very secure3Prod'n2100046Male0Non- Mng196.91179.35165105.620Secure2Admin1001047Female1No n- Mng1950.3129.63134201018Insecure1Admin1011048Female1N on-Mng196.11.3128.83124661019Insecure1Dist'n30101 Employee &Miscel_Area00Two sidedHa : Not equal¹Proportion00Right openHa : Greater than>00Left openHa : Less than<001000100000000000100000000000001000000010101010 001000000001110101111101011101111101010111 &GraphData
- 39. &WorkArea253021854.540040020050981015222542530 H Tests & C IntervalsHYPOTHESIS TESTSREAD THIS COMMENTCONFIDENCE INTERVALSHypothesis Test for µHypothesis Test for πConfidence Interval for the meanConfidence Interval for the proportionHypothesesHypothesesDataData>>≤less than or equal togreater thanNull Hypothesis H0:µ=1000Null Hypothesis H0:π≥50%Sample Standard Deviation5Sample Size30<<≥greater than or equal toless thanAlternative Hypothesis HA:µ<>1000Alternative Hypothesis HA:π<50%Sample Mean50Count of Successes10<>≠=equal tonot equal toTest TypeTwoTest TypeLowerSample Size30Confidence Level95%Level of significanceLevel of significanceConfidence Level95%alpha α set to:0.05alpha α set to:0.05Is Pop StDev known? Y/NNCritical RegionCritical RegionIntermediate CalculationsIntermediate CalculationsDegrees of Freedom99Critical Value- 1.6449Standard Error of the Mean0.9129Sample Proportion0.3333333333Lower Critical Value- 1.984200.0000Degrees of Freedom29z Value1.9600Upper Critical Value1.9842Sample Datat Value2.0452Standard Error of the Proportion0.0860662966Sample DataSample Size40Margin of Error1.8670Margin of Error0.1687Sample Standard Deviation s50Count of 'Successes'20Assumptions: n.p=10, n.q=20METSample Mean x bar1000Confidence
- 40. IntervalSample Size n100Sample proportion, p50.00%Interval Lower Limit48.13Confidence IntervalIs Pop StDev known? Y/NNStandard Error7.91%Interval Upper Limit51.87Interval Lower Limit16.46%Standard Error of the Mean5.0000z Sample Statistic0.0000Interval Upper Limit50.20%t Sample Statistic0.0000p-value0.5000p-value from the t distribution1.0000Assumptions: n.π=20, n.π=20METHypothesis test decision:Hypothesis test decision:Fail to reject the Null HypothesisFail to reject the Null Hypothesis.. Scott Salzman: Instructions 1. Cells with bold red text are for entering your data (DO NOT CHANGE ANY OTHER CELLS) 2. Other cells present summary results. 3. In cells D6 and I6 the ONLY valid text inputs are '<', '>' or '<>'. Note that '<>' represents not equal. 4. If you do alter something that causes error, close the file and open up a new version of the spreadsheet. Standard Normal PDFStandard Normal DistributionMean (m)0Standard Deviation (s)1Value of Variable (x)2ProbabilityP ( x ≤ 2) =0.9772498681P ( x ≥ 2) =0.0227501319 Conrobar-Data | Multiple Box Plot | Five-Number 9095100105110 Female:Prdtvty%
- 41. Male:Prdtvty% Female:Prdtvty% Conrobar-Data | Multiple Box Plot | Five-Number 9095100105110 Admin:Prdtvty% Prod'n:Prdtvty% Dist'n:Prdtvty% Admin:Prdtvty% POOR NEEDS IMPROVEMENT ACCEPTABLE VERY GOOD EXCELLENT Data Analysis and Visualisation (10 Marks)
- 42. Uses irrelevant or inappropriate techniques to analyse the data and/or there are several errors in the analysis. A very poor presentation of the analysis. 0 – 4.95 Marks Data analysis and visualisation tools have been used to analyse the data, but
- 43. in an incomplete or inaccurate manner. The analysis does not follow principles of good graphical display. 5 – 5.95 Marks Uses appropriate data analysis and visualisation tools to analyse the data but there are some errors in the analysis. The analysis follows principles of good graphical display.
- 44. 6 – 6.95 Marks Comprehensive analysis of the data using appropriate techniques, but there are minor errors in the analysis. Uses data visualisations to understand the patterns in data. The analysis is well organised and follows principles of very good graphical display. 7 – 7.95 Marks
- 45. Skilful and comprehensive analysis of data using many different techniques. Uses data visualisations to produce novel insights. An exemplary presentation of the analysis. 8 – 10 Marks
- 46. Interpreting Results and Communication (10 Marks) Does not communicate any or most of the main findings of the analysis in an accurate and/or useful way. The written communication is un‐ professional, difficult to follow and/or contains numerous spelling or grammatical errors. 0 – 4.95 Marks The interpretation/
- 47. communication of findings is at a basic level or does not adequately explain the main findings of the analysis. The written communication is somewhat easier to follow and/or contains some spelling or grammatical errors. 5 – 5.95 Marks Explains most of the main findings of the analysis accurately and
- 48. enables the reader to draw some reasonable conclusions. The written communication is clear and easy to follow but it contains minor spelling or grammatical errors. 6 – 6.95 Marks Provides detailed and accurate descriptions of the most important features of the analysis along with appropriately qualified conclusions. The written
- 49. communication is professional, easy to follow and has a good structure. 7 – 7.95 Marks Provides an outstanding descriptions and conclusions that is carefully considered and insightful. The written communication is truly professional, logical and easy to follow.
- 50. 8 – 10 Marks Deakin's Bachelor of Commerce and MBA are internation ally EPAS accredited. Deakin Business School is accredited by AACSB. Business Analytics – MIS171 Trimester 2 2017 Assignment 1
- 51. DUE DATE AND TIME: Due in Week 7, Thursday the 31st of August 2017 at 11:59PM PERCENTAGE OF FINAL GRADE: 20% of final grade Learning Outcome Details Unit Learning Outcome (ULO) Graduate Learning Outcome (GLO) ULO 2: Apply quantitative reasoning skills to analyse business performance. This assignment assesses the ability to use the appropriate technique to analyse the data, correctly interpret the analysis output and draw appropriate conclusions. GLO 1: Discipline‐specific knowledge and capabilities: appropriate to the level of study related to a discipline or profession.
- 52. ULO 4: Use contemporary data analysis tools to analyse business performance. This assignment assesses proficiency in the use of data analysis tools within Microsoft Excel (one of the most widely used data analysis tools). GLO 4: Critical thinking: evaluating information using critical and analytical thinking and judgement. Assessment Feedback: Students who submit their work by the due date will receive thei r marks and feedback on CloudDeakin no later than the 21st of September 2017, 11:59PM.
- 53. Page 2 of 7 General Description / Requirements The assignment requires that you analyse a data set, interpret an d draw conclusions from your analysis, and then convey your conclusions in a written email. The assign ment must be completed individually. The assignment, together with the appropriate Faculty assignme nt attachment sheet, must be submitted by the due date electronically in CloudDeakin. When submitting electronically, you must check that you have submitted the work correctly by following t he instructions provided in CloudDeakin. Please note that we will NOT accept any hard cop ies or assignments submitted via email. The assignment uses the file A1.xlsx which can be downloaded from CloudDeakin. Analysis of the data requires the use of techniques studied in Topics 1 to 5. Scenario
- 54. You are Alex Cassidy, a business analyst who works for the BLI TZ department store chain in their Research and Analysis department. You have been asked by the General Manager, Ms Jacinta Liu, to analyse a random sample of data collected from a recent survey of 300 randomly selected customers shopping in our stores. Her email making this request of you is r eproduced below. Page 3 of 7
- 55. Email from the GM To: Alex Cassidy From: Jacinta Liu Subject: Analysis of the BLITZ Department store data Dear Alex, Regarding the recent survey of the 300 customers in three major cities of Australia, the marketing department requires answers to the following questions. Your re sponses will be used as part of a report to senior management comparing customer habits and characteri stics across the three cities. 1. Regarding the age of our customers and the amount they spent i n our stores. a. Can you provide a profile of our customers’ age please?
- 56. b. Is there any evidence to suggest any differences in the average a ge of customers between the three cities? c. Generally speaking, can we make the claim that the average am ount spent per visit by all our customers is less than $105? d. Is the amount of money spent per visit influenced by the age of the customer? 2. Regarding the shopping habits of our customers and their usage of the beauty sections within our department stores. a. There have been some excellent instore promotions recently. Ca n you provide an estimate of the proportion of customers who shop in the beauty section in each of the three cities?
- 57. b. Do we have enough evidence to claim that the proportion who d o shop in the beauty sections of all of our stores, could now be more than 48%? c. Given that some of our customers are female, please indicate th e likelihood that they might shop in the beauty section of our department store. d. Is there any evidence to suggest that a relationship exists betwe en shopping in the beauty sections of our department stores and whether or not a person is male or female? I look forward to your response. Sincerely, Jacinta Liu General Manager
- 58. Page 4 of 7 Assignment instructions The assignment consists of two parts: Part 1: Data Analysis In order to prepare a reply to the General Manager, you will nee d to examine and analyse the dataset thoroughly. The General Manager has asked a number of questio ns. For all relevant questions in the email, you can assume that:
- 59. a 95% confidence level is appropriate for confidence intervals a nd a 5% level of significance (that is, alpha (α) = 0.05) is appropri ate for hypothesis tests. The following guidelines for each question should be considered carefully: Q1. Regarding customers’ age and the amount of money spent o n a visit. a. You will need to produce the relevant summary statistics and su itable table(s) and graph(s). b. Firstly, you will need to produce the relevant summary statistics . Once done, you should then use an appropriate inferential technique to determine if there is any difference in the average age of customers between the three cities.
- 60. c. Here, you will again need to generate the relevant summary stati stics. Once done, you should then use an appropriate inferential technique to answer the quest ion whether or not the average amount spent by all customers is less than $105. d. You will need to use relevant relationship technique(s) to see w hether the amount of money spent per visit is influenced by age of the customer. Q2. Regarding the shopping habits of our customers and their us age of the beauty sections within our department stores. a. After producing the relevant summary statistics, you will need t o use an appropriate inferential technique to estimate the proportion of shoppers who are shoppi ng in the beauty sections in each of the three cities. b. Produce the relevant summary statistics. You will then need to u
- 61. se an appropriate inferential technique to determine if the proportion of all shoppers shoppin g in the beauty section could actually be greater than 48%. c. This question is conditional upon the customer being a female. To assist in solving this question and the question below it (d.), you should create cross tabulatio ns for the variables Beauty and the Gender. Page 5 of 7 General guidelines:
- 62. The analysis section you submit should be no more than 8 pages of computer output (ie. output that you have copied into your Word document from Microsoft Excel ). When you conduct your analysis, you will produce much more than this initially, but you should t rim it down to only show the most relevant results in your maximum of 8 pages. Where possible, it is always useful to produce both numerical and graphical statistical summaries as sometimes, so mething is revealed in one that is not obvious in the other. Within the Word document, your analysis should be presented in the same sequence (and contain that same numbered sequence) that the qu estions have been asked by Jacinta Liu (the General Manager), and be clearly labelled and grouped around each question. Poorly presented, unorganised analysis or excessive output (more than 8 pages) will be penalised. Save your computer analysis frequently. Part 2: Email
- 63. You are required to reply by email, detailing essential informati on and conclusions from your data analysis. You are allowed no more than 2 pages to convey your written conclusions. Keep the English simple and the explanations succinct. Avoid th e use of technical statistical jargon. Your reader will not necessarily understand even simple statisti cal terms, thus your task is to convert your analysis into plain, simple, easy to understand language. Further IMPORTANT instructions: The email is to be written as a stand‐alone document (assume th at the Jacinta Liu will only read your email). Thus, you should not have any references in the em ail to your analysis, nor should you include any charts and tables within it. Use an email format for your reply. That means the email headi
- 64. ng (eg. To:, From:, Subject:) should be included, the recipient should be addressed at the beginning and the signature or name of the sender should be included at the end. When composing your reply, make sure that you actually answer the questions asked. Cite (state) the summary statistics of importance without referring to your a nalysis section. Sequentially number your answers in both your email and your a nalysis (1, 2 … 5) to match the General Manager’s email. Include a simple introduction at the start of the email and a sum mary/conclusion at the end. Marks will be deducted for the use of technical terms, irrelevant material, poor presentation/organisation/formatting and emails that are over tw o pages long.
- 65. When you have completed the email, it is a useful exercise to le ave it for a day, return to it and re‐read as if you knew nothing about the analysis. Does it flow easily? Does it make sense? Can someone without prior knowledge follow your written conclusions? Ofte n on re‐reading, you become aware that you have made some points in a clumsy manner, and you find th at you can re‐phrase them much more clearly. Page 6 of 7
- 66. Submission Instructions Your submission will comprise of ONE (1) word or .pdf docume nt only (a Microsoft WORD file or an Adobe .pdf file). To get the Microsoft Excel output into Micros oft Word, you need to copy your relevant analysis output and paste it with the paste special option (paste as a picture). You must keep a backup copy of every assignment you submit, until the marked assignm ent has been returned to you. In the unlikely event that one of your assignments is misplaced, you w ill need to submit your backup copy. Any work you submit may be checked by electronic or other me ans for the purposes of detecting collusion and/or plagiarism. When you are required to submit an assignment through your Cl oudDeakin unit site, you will receive an email to your Deakin email address confirming that it has been s ubmitted. You should check that you can see your assignment in the Submissions view of the Assignment dropbox folder after upload, and check for, and keep, the email receipt for the submission.
- 67. for late submission: The following marking penalties will apply if you submit an assessment task after the due date without an approved extensio n: 5% will be deducted from available marks for each day up to five days, and work that is su bmitted more than five days after the due date will not be marked. You will receive 0% for the tas k. 'Day' means working day for paper submissions and calendar day for electronic submissions. The Unit Chair may refuse to accept a late submission where it is unreasonable or impracticab le to assess the task after the due date. more information about academic misconduct, special consideration, extensions, and assessment feedback, please refer to the document Your rights a nd responsibilities as a student in this Unit in the first folder next to the Unit Guide of the Reso urces area in the CloudDeakin unit site. Building evidence of your experiences, skills and knowledge (P
- 68. ortfolio) ‐ Building a portfolio that evidences your skills, knowledge and experience will provide y ou with a valuable tool to help you prepare for interviews and to showcase to potential employers. There are a number of tools that you can use to build a portfolio. You are provided with cloud s pace through OneDrive, or through the Portfolio tool in the Cloud Unit Site, but you can use any st orage repository system that you like. Remember that a Portfolio is YOUR tool. You should be a ble to store your assessment work, reflections, achievements and artefacts in YOUR Portfolio. Once you have completed this assessment piece, add it to your personal Portfolio to use and sh owcase your learning later, when applying for jobs, or further studies. Curate your work by addin g meaningful tags to your artefacts that describe what the artefact represents. Feedback prior to submission Students are able to seek assistance from the teaching staff to as certain whether the assignment conforms to submission guidelines. That is, editorial and format ting feedback only will be provided.
- 69. Feedback after submission Your assignment feedback will be returned in a rubric via Cloud Deakin with an overall mark together with comments. In order to understand the areas where improve ment is required, students are Page 7 of 7 expected to refer, and compare, their answers to the suggested s olutions (before any requests for remarking are made). Your single submission document should be presented in the fol lowing order:
- 70. (1) the written email, comprising of no more than 2 pages, then (2) your analysis, which will be no more than 8 pages of output. With your submission, please upload the Faculty assignment att achment sheet as a separate document. Good luck everyone. Please don’t hesitate to ask questions if you have them. All the best, Unit Team