ITC516 - Data Mining and Visualisation for Business IntelligenceAssessment item 1 Task 1 (5%)Title: Data Mining in Business. Recommended word length for this posting is 500 words. In this task you...

ITC516 - Data Mining and Visualisation for Business IntelligenceAssessment item 1


Task 1 (5%)Title: Data Mining in Business. Recommended word length for this posting is 500 words.
In this task you will need to:
1. Briefly summarise why data mining is used in business.2. Share a recent article/news item relating to data mining in business (include a link to the article).
Briefly summarise the article, identifying the business requirements for which data analysis is being used in this case.
Task 2 (10%)Title: Security, Privacy and Ethics. Recommended word length for this posting is 1000 words. For this activity you will need to: Read the following articles:
Ryoo, J. ‘Big data security problems threaten consumers’ privacy’ (March 23, 2016) theconversation.com http://theconversation.com/big-data-security-problems-threaten-consumers-privacy-54798
Tasioulas J. ‘Big Data, Human Rights and the Ethics of Scientific Research’ (December 1, 2016) abc.net.au http://www.abc.net.au/religion/articles/2016/11/30/4584324.htm
Post a response based on the following: Identify the major security, privacy and ethical implications in data mining Evaluate how significant these implications are for the business sector Support your response with appropriate examples and references



Charles Sturt University Subject Outline ITC516 201760 SM I-31 May 2017-Version 1 Page of 1 17 ITC516 - Data Mining and Visualisation for Business Intelligence Session 2 2017 Faculty of Business, Justice and Behavioural Sciences School of Computing and Mathematics Internal Mode Welcome to a new session of study at Charles Sturt University. Please refer to the University’s (http://student.csu.edu.au/study/acknowledgement-of-country).Acknowledgement of Country This subject outline is accessible through mobile devices from .http://m.csu.edu.au Subject Coordinator Rajasekaran Lakshmiganthan Email [email protected] Phone 0399357900 Campus To be advised. Building/Room number To be advised. Consultation procedures Any questions concerning the teaching of this subject can be made by contacting your Subject Lecturer. Lecturer Name: Gopi AKELLA Lecturer Email: (http://[email protected])[email protected] Email is the best option. Please send a brief message regarding the issue and include the subject name and subject code in your email – it really helps to know which class you belong to, before I respond to your query. If your query is urgent then meet with your respective Course Coordinator at Level 4, 30 Church Lane. Class times and location General Timetable as below will be available at the following website before the start of 201760 semester, which can be accessed on any Mobile Phone or IPAD: https://csutimetable.au.studygroup.com/Melbourne/ If you cannot contact your Subject Coordinator, please contact your teaching team using the contact details and consultation procedures provided on your Interact2 subject site. What is your subject about? A brief overview This subject provides an in-depth coverage of the principles of data mining and the application of visual datasets for business intelligence. It focuses on the need for developing timely and accurate views of large datasets and the need for the creation of visual displays, or dashboards, to present accurate views of complex data trends and patterns. Students who undertake this subject are expected to have a basic working knowledge of database theory and operations. Learning outcomes On successful completion of this subject, you should: be able to identify and analyse business requirements for the identification of patterns and http://student.csu.edu.au/study/acknowledgement-of-country http://m.csu.edu.au http://[email protected] https://csutimetable.au.studygroup.com/Melbourne/ Charles Sturt University Subject Outline ITC516 201760 SM I-31 May 2017-Version 1 Page of 2 17 trends in data sets; be able to appraise the different approaches and categories of data mining problems; be able to compare and evaluate output patterns; be able to explore and critically analyse data sets and evaluate their data quality, integrity and security requirements; be able to compare and evaluate appropriate techniques for detecting and evaluating patterns in a given data set; be able to identify and evaluate the security, privacy and ethical implications in data mining; be able to explain the importance of current and future trends likely to affect data mining and visualisation. Pass Requirements A student must obtain at least 50% in both the examination and the total mark in order to pass this subject. To be eligible for the grade AA or AE you must have submitted all assessment items in the subject, including the final exam. If you choose not to complete an assessment item or do not sit the final exam then you will not be granted an AA or an AE grade. Key Subjects Passing a key subject is one of the indicators of satisfactory academic progress through your course. You must pass the key subjects in your course at no more than two attempts. The first time you fail a key subject you will be 'at risk' of exclusion; if you fail a second time you will be excluded from the course. The (https://policy.csu.edu.au/view.current.php?id=00250) sets out theAcademic Progress Policy requirements and procedures for satisfactory academic progress, for the exclusion of students who fail to progress satisfactorily and for the termination of enrolment for students who fail to complete in the maximum allowed time. Assumed knowledge Academic integrity means acting with honesty, fairness and responsibility, and involves observing and maintaining ethical standards in all aspects of academic work. This subject assumes that you understand what constitutes plagiarism, cheating and collusion. If you are a new student we expect you to complete the modules called Academic Integrity at CSU (https://interact2.csu.edu.au/webapps/blackboard/execute/courseMain?course_id=_16412_1&task=true&src=). Prescribed Text Shmueli, G., Bruce, P.C., & Patel, N.R. (2016). Data mining for business analytics: Concepts, techniques and applications with XLMiner: ISBN-13: 978-1118729274 or ISBN-10: 1118729277. The textbooks required for each of your enrolled subjects can also be found via the Student Portal (http://student.csu.edu.au/study/study-essentials/textbooks) page.Textbooks Subject and Assessment Schedule Schedule Session Week Week Commencing Topics Learning activities 1 24 July 2017 Topic 1: Introduction to https://policy.csu.edu.au/view.current.php?id=00250 https://interact2.csu.edu.au/webapps/blackboard/execute/courseMain?course_id=_16412_1&task=true&src= http://student.csu.edu.au/study/study-essentials/textbooks Charles Sturt University Subject Outline ITC516 201760 SM I-31 May 2017-Version 1 Page of 3 17 Session Week Week Commencing Topics Learning activities data mining, visualisation and business analytics 2 31 July 2017 Topic 2: Visualisation and business analytics 3 & 4 07 August 2017 Topic 3: Data pre-processing Topic 4: Performance evaluation 13 August 2017: Assessment Item 1 Due 5 14 August 2017 Topic 5: Basic methods of prediction and classification, Part 1 Additional Classes will be conducted this week. 6 21 August 2017 Topic 6: Basic methods of prediction and classification, Part 2 28 August 2017 – 01 September 2017 Mid-Session Break 7 04 September 2017 Topic 7: Advanced methods for prediction and classification, Part 1 8 11 September 2017 Topic 8: Advanced methods for prediction and classification, Part 2 17 September 2017: Assessment Item 2 Due 9 18 September 2017 Topic 9: Mining relationships, Part 1 10 25 September 2017 Topic 10: Mining relationships, Part 2 Charles Sturt University Subject Outline ITC516 201760 SM I-31 May 2017-Version 1 Page of 4 17 Session Week Week Commencing Topics Learning activities 11 02 October 2017 Topic 11: Data analytics 8 October 2017: Assessment Item 3 Due 12 09 October 2017 Revision week 16 October 2017 – 27 October 2017 Examination Period Subject Content Information regarding the subject's content is outlined above in the Schedule. Subject Delivery Class/tutorial times and location If you are enrolled in an internal offering of this subject, your class times can be found at Timetable @ (http://timetable.csu.edu.au). If you are enrolled in the online offering of the subject, thisCSU timetable will not apply. Find out how to use Timetable @ CSU via the Student Portal Class (http://student.csu.edu.au/study/study-essentials/timetable) page.Timetable Learning, teaching and support strategies All of your subject materials are available on the Interact site under the Topics link in the left hand side menu. I suggest that for each topic you read the learning objectives carefully, read the overview, have a quick skim of the text and then watch the interactive tutorial. Once you have got a feel for what the topic is about try and make a good set of notes under each of the topic review questions in that topic. These questions have been designed to give you focus in the topic, so it really helps to prepare a useful set of answers to them. In this subject there are also lots of opportunities for you to engage with me, with your peers and with the subject. I will be holding 12 face to face classes where we can discuss content issues and assessment items. As part of your assessment in this subject, you are required to work alone for all the assessment items. It is helpful to have a small task to complete early in the session, so that you have a focus in the subject from the very first day, and so I have set a small assessment item in week 3, as part of your assessment. If you don’t complete the assessment, I may contact you by phone or email to have a chat about study and if there are any issues that I can help with. The study guide and/or subject materials for this subject have been written specifically to guide you through the sections (and questions) of the prescribed textbook relevant to each topic. You should check the Interact Site at least weekly for postings, announcements, lecture information http://timetable.csu.edu.au http://timetable.csu.edu.au http://student.csu.edu.au/study/study-essentials/timetable http://student.csu.edu.au/study/study-essentials/timetable Charles Sturt University Subject Outline ITC516 201760 SM I-31 May 2017-Version 1 Page of 5 17 and other resources that will assist your studies or additional information and resources vital to your success in the subject. Studying at university does not mean studying alone. Take advantage of collective wisdom and post your questions to the subject forum. Use the subject schedule to plan your studies over the session. Information on effective time management is available on the CSU Learning Support website via the following link: http://student.csu.edu.au You can also contact an adviser through Student Central on the following number: 1800 275 278 (or +61 2 6933 7507 from outside Australia). Library Services The CSU Library website provides access to online material and print, using Primo Search to find online journal articles, eBooks, hardcopy books from CSU Library (see Library Manager for Interlibrary Loan Requests), company & government reports, eJournals, dissertations, theses, newspapers including Business & Financial newspapers in Factiva (See Business & IT Journal Databases), and other reference resources (eg. Australian Bureau of Statistics, Australian standards, online encyclopaedias & dictionaries to be read on the computer). You will also find library guides, Subject Reserve for any readings eg. ITC100, ACC100, etc., and online assistance to help you use the Library's resources such as Ask a Librarian – Live Chat and Ask a Librarian - Web Form. You can find Library Services on both the SGA library online catalogue: http://primo.unilinc.edu.au/primo_library/libweb/action/search.do?vid=SGA The SGA library online catalogue allows students to Sign In, My Account shows student’s current library record including all books on loan, Renew your borrowed books online before the due date, also Search and Request all books in the SGA library, even if unavailable due to high demand from students. Students can Request books when all books are on loan to other students. When the requested book is returned to the SGA library, the student who requested the book receives an email immediately to pick up the book from the SGA library. View your library record online 24/7 at the above web link for SGA library. And also CSU Library online: http://student.csu.edu.au/library - CSU Library Services including Primo Search & Subject Reserve online with 24/7 access, online and video tutorials in research skills, finding journal articles for assignments, topic analysis, download Endnote referencing program and many other online library services to help you successfully complete your assignments for all CSU courses. http://trove.nla.gov.au/ - Powerful search engine from National Library of Australia to access
Oct 05, 2019
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