π©π¨π΅π¨πΊπ«603 π¨ππππππ πΆπππππππππππ ππ π©πππππππ πΉπππππππ π·ππππ π―πππASSESSMENT 1 BRIEFSubject Code and Title BANASD603 Applied Optimisation in BusinessAssessment Research Paper and Data setIndividual/GroupIndividualLength1,000words (+/-10%)Learning OutcomesThe Subject Learning Outcomes demonstrated by successful completion of the task below include: Analyse business problems to select suitable optimization techniques. Appraise how optimization techniques improve data- driven and model-driven performance in solving business problems.Submission Dueby11:55pmAEST/AEDT Sunday end of Module2.2 (week4).Weighting30%Total Marks 100marksBANASD603 Applied Optimisation in Business Research Paper HelpAssessment TaskYou are required to complete three interrelated assessments for BANASD603 Applied Optimisation in Business Research Paper with each being assessed independently on their own merits.Assessment1(the first of three in this subject)requires you to research optimization techniques in the context of solving a business problem. Specifically, you must identify a business problem that can be analyzed using an appropriate dataset. Then, you must identify a dataset to use for solving that business problem and provide a source for the data.Please refer to the Instructions for details on how to complete this task.To be successful in this assessment, you are required to read the resources provided in Modules 1 and 2.ContextComputers are increasingly becoming more powerful and capable of processing large amounts of business data. Consequently, optimization techniques have been developed that analyze large datasets to solve business problems and significantly improve decision-making. Such developments have provided a range of careers for those employees who can harness the available range of tools. Interpreting business needs, operating and interpreting the output of modern optimization tools, and communicating the results to stakeholders in a clear and timely manner are crucial skills in modern workplaces. Business students will benefit from being able to interpret and analyse business problems and be guided in applying optimization to business cases.InstructionsProduce a research paper of1,000 words(+/-10%) that identifies a business problem which can be solved using data analysis. Formally, assessment 1 involves three key tasks: Identify a business problemFor the sake of brevity, the term βbusiness problemβ is used in this brief to refer to a business problem, opportunity, or question that can be answered. Importantly, you must select a βproblem, opportunity, or question βthat can be solved using data analysis. Notably, selecting appropriate analytical techniques for solving the specific business problem you have identified is a key challenge to consider.Select an appropriated at a setYou are at liberty to provide you row n dataset, provided it can be made available to facilitators. Possible data sources include the following: Public data set: Kaggledatasets:https://www.kaggle.com/datasets/morriswongch/kaggle-datasets UCIMachineLearningRepository(PopularamongstudentsandteachersinUS): https://archive.ics.uci.edu/ml/datasets.php Google Data set Search(publicly available data sets hosted byGoogle): https://datasetsearch.research.google.com/ Datahub(Datasetsinhealthcare,education,finance,property and many other industries): https://datahub.io/collections Data.gov, all US government public datasets https://www.bing.com/ck/a?!&&p=d06c97fe8e90efe5JmltdHM9MTY2NDIzNjgwMCZpZ3VpZD0zY2ViNGYxNC1lYmEwLTYyODItMzI5NC01ZTMwZWEwODYzZTcmaW5zaW Q9NTE5Mw&ptn=3&hsh=3&fclid=3ceb4f14-eba0β6282β3294β5e30ea0863e7&u=a1aHR0cHM6Ly9kYXRhLmdvdi8&ntb=1 Note:Other government sites include the Australian Bureau of Statistics (ABS), the ASX and NASDAQ, but you may need to register for some of these. Private data set: Alternatively, you can nominate a real-world dataset from your work or other business.Please inform your facilitators if this is the case and identify any required permission or confidentiality agreements, if needed from your organisation.If you select a public dataset, a valid link to the dataset must be provided. If selecting a private dataset, a separate file must be uploaded when submitting your research report (task3).The best approach is to download and compress the dataset as a zip file and submitthis file together with the research report, using the following naming convention: BANASD603_Last name First name_Assessment1Dataset.zip. Full instructions for how to do so will be provided by your Learning Facilitator. Any alternative approach to submitting your dataset file (such as providing a link to a shared drive, must be negotiated with your Learning Facilitator). Research a suitable analysis technique(s)There search report should be structured using the following headings(each section is not given equal weighting): Title page: Include course ID and name,student ID, email and name,facilitator name and date of submission Table of contents Introduction Business problem: Describe your proposed project scenario by explaining the problem your project is expected to solve (This is an important focus of Assessment 1). Justify the to pic by providing the rationale for answering the problem such as the business benefits attributable to your future analysis. Data: Identify a dataset and source for your project. Provide a link to the dataset if you select public datasets or, submit a compressed dataset file with this report if you select private. Validate alignment between the dataset and your chosen problem Identify headings in the dataset that may be appropriate to address your business problem Building model: Document specific considerations and processes to follow in selecting different analytics and optimization techniques Conclusion References: At least 3 academic references are required. Other references , including web references, can be included.(Any cited or sourced material must be properly referenced. It is essential that you use appropriate APA style for citing and referencing research. Please see more information on referencing in the Academic Skills webpage. Appendix(any appended material needed is not included in the word count)Notes: Text with in tables and figures is excluded from the word count unless it contains substantial text submitted by the student. For additional guidance, you will find more information on Report Writing at the Academic Skills webpage.For practical purposes, the three aforementioned assessment tasks may be addressed randomly. You may start by selecting an appropriate dataset and then identifying a business problem that dataset could solve. While assessment 1 is focused on the business problem, the report should be rich enough to demonstrate critical judgement of analysis and optimisation techniques.Specifically, this assessment tests your ability to plan for an in-depth analysis of a business problem, identifying relevant optimization techniques and locating resources for performing the analysis. Although you have liberty to identify a business problem, deeper, more significant business problem will be given more weight.ReferencingIt is essential that you use appropriate APA style for citing and referencing research. Please see more information on referencing in the Academic Skills webpage.Submission InstructionsSubmit thisassessmentviatheAssessmentlinkinthemainnavigationmenuBANASD603:Applied Optimisation in Business.If you select private datasets, your submission will consist of the following two documents: The data set compressed in zip format. The report in word (doc.) format.Please note during the submission process: If you would like to include a second file in your submission , once your first item has been uploaded, click βBrowse Your Computerβ to attach the extra documents. Then, click Final Submit button.The Learning Facilitator will provide feedback via the Grade Centre in the LMS portal. Feedback can be viewed in My Grades.Academic IntegrityAll students are responsible for ensuring that all work submitted is their own and is appropriately referenced and academically written according to the Academic Writing Guide. Students also need to have read and be aware of Torrens University Australia Academic Integrity Policy and Procedure and subsequent penalties for academic misconduct. These are viewable online.Students also must keep a copy of all submitted material and any assessment drafts.Special ConsiderationTo apply for special consideration for a modification to an assessment or exam due to unexpected or extenuating circumstances, please consult the Assessment Policy for Higher Education CourseworkAnd ELICOS and, if applicable to your circumstance, submit a completed Application for Assessment Special Consideration Form to your Learning Facilitator.