𝑻𝑬𝑪𝑯6300 𝑨𝒍𝒈𝒐𝒓𝒊𝒕𝒉𝒎𝒔 𝒂𝒏𝒅 𝑫𝒂𝒕𝒂 𝑺𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆𝒔 𝑨𝒔𝒔𝒆𝒔𝒔𝒎𝒆𝒏𝒕 3 𝑯𝒆𝒍𝒑Assessment 3 InformationSubject Code:TECH6300Subject Name:Algorithms and Data StructuresAssessment

𝑻𝑬𝑪𝑯6300 𝑨𝒍𝒈𝒐𝒓𝒊𝒕𝒉𝒎𝒔 𝒂𝒏𝒅 𝑫𝒂𝒕𝒂 𝑺𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆𝒔 𝑨𝒔𝒔𝒆𝒔𝒔𝒎𝒆𝒏𝒕 3 𝑯𝒆𝒍𝒑Assessment 3 InformationSubject Code:TECH6300Subject Name:Algorithms and Data StructuresAssessment Title:Case Study RecommendationsAssessment Type:Individual Video RecordingWord Count:6Minutes (+/-10%)Weighting:40 %Total Marks:40Submission:Via MyKBSDue Date:Week 13Your TaskThis assessment is to be completed individually. In TECH6300 Algorithms and Data Structures Assessment 3, you will create a presentation on recommending and designing solutions to business problems using data structures, abstract data types, and algorithms.Assessment DescriptionPrepare a professional presentation that investigates data structures and abstract data types in the context of solving business problems. Your presentation should showcase your advanced knowledge and understanding of data structures, abstract data types, and algorithms, and how they can be effectively employed as solutions to specific business challenges. Analyse and evaluate the suitability of different data structures and abstract data types for solving complex business problems. Provide well-reasoned recommendations for selecting and designing appropriate solutions using these concepts. Emphasise the practical application of data structures, abstract data types, and algorithms in real-world business scenarios.TECH6300 Algorithms and Data Structures Assessment 1 HelpCase StudyImagine you are researching the application of data structures and abstract data types in optimising traffic management systems for smart cities. Investigate how different data structures and abstract data types can be utilised to handle the massive amounts of real-time traffic data and efficiently process requests from various sources. Analyse their suitability for storing, indexing, and querying geospatial data related to traffic patterns, congestion, and accidents. Evaluate their performance in terms of response time, scalability, and adaptability to changing traffic conditions. Provide insights into optimising data structures and abstract data types to enhance traffic management algorithms and decision-making processes in smart city environments.This assessment aims to achieve the following subject learning outcomes:LO1Investigate data structures and abstract datatypes.LO4Recommend data structures and abstract typesas solutions for business problems.Assessment InstructionsStudents must conduct research externally and included references in order to produce a well referenced assessment. You should use at least ten (10) sources of information and reference these in accordance with the Kaplan Harvard Referencing Style. These may include websites, social media sites, industry reports, census data, journal articles, and newspaper articles. These references should be presented as in-text citations and a referencing list at the end of your assessment (not included in the word limit). Wikipedia and other ‘popular’ sites are not to be used. You must submit your presentation in a recorded video format using MyKBS. You aren’t required to submit the presentation slides as your slides and your face will be present in the video recording. The presentation should demonstrate a high level of professionalism and be delivered in a clear and engaging manner. Investigate a range of data structures and abstract data types, highlighting their key characteristics, advantages, and limitations. Analyse and evaluate the relevance and effectiveness of different data structures and abstract data types in addressing specific business problems. Provide well-reasoned recommendations for selecting and implementing data structures, abstract data types, and algorithms for different business scenarios. Design and present solutions that leverage appropriate data structures, abstract data types, and algorithms for complex business problems. Discuss the trade-offs and considerations involved in the selection and implementation of the recommended solutions. Use relevant examples and case studies to illustrate the practical application and benefits of the recommended solutions. Ensure the presentation demonstrates advanced knowledge, critical thinking, and a deep understanding of the subject matter. Provide appropriate references and resources to support your analysis and recommendations. Please refer to the assessment marking guide to assist you in completing all the assessment criteria.Important Study InformationAcademic Integrity and Conduct Policyhttps://www.kbs.edu.au/admissions/forms-and-policiesKBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.Please read the policy to learn the answers to these questions: What is academic integrity and misconduct? What are the penalties for academic misconduct? How can I appeal my grade?Late submission of assignments (within the Assessment Policy)https://www.kbs.edu.au/admissions/forms-and-policiesLength Limits for AssessmentsPenalties may be applied for assessment submissions that exceed prescribed limits.Study AssistanceStudents may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centre page. Further details can be accessed at https://elearning.kbs.edu.au/course/view.php?id=1481Generative AI Traffic LightsPlease see the level of Generative AI that this assessment is Level 2 has been designed to accept:Traffic LightAmount of Generative Artificial Intelligence (GenerativeAI) usageEvidence RequiredThis assessment(✓)Level 1Prohibited:No GenerativeAI allowedThis assessment showcases your individual knowledge, skills and/or personal experiences in the absence of Generative AI support.The use of generative AI is prohibited for this assessment and may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment.Level 2Optional:You may use GenerativeAI for research and content generation that is appropriately referenced.See assessment instructions for detailsThis assessment allows you to engage with Generative AI as a means of expanding your understanding, creativity, and idea generation in the research phase of your assessment and to produce content that enhances your assessment. I.e., images. You do not have to use it.The use of GenAI is optional for this assessment.Your collaboration with Generative AI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference Generative AI.https://library.kaplan.edu.au/referencing- other-sources/referencing-other-sources- generative-aiIn addition, you must include an appendix that documents your GenerativeAI collaboration including all prompts and responses used for the assessment.Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially resultin penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific assessment instructions in the section above.✓Level 3Compulsory:You must use GenerativeAI to complete your assessmentSee assessment instruction for detailsThis assessment fully integrates Generative AI, allowing you to harness the technology’s full potential in collaboration withyour own expertise.Always check your assessment instructions carefully as there may still be limitations on what constitutes acceptable use, and these may be specific to each assessment.You will be taught how to use generative AI and assessed on itsuse.Your collaboration with GenerativeAI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learnhow to reference GenerativeAI.https://library.kaplan.edu.au/referencing- other-sources/referencing-other-sources- generative-aiIn addition, you must include an appendix that documents your GenerativeAI collaboration including all prompts and responses used for the assessment.Unapproved use of generative AI as per assessment details during the content generation parts of your assessment may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. Ensure you follow the specific assessment instructions in the section above.