Assessment 3 Information
| Subject Code: | TECH6300 |
| Subject Name: | Algorithms and Data Structures |
| Assessment Title: | Case Study Recommendations |
| Assessment Type: | Individual Video Recording |
| Word Count: | 6Minutes (+/-10%) |
| Weighting: | 40 % |
| Total Marks: | 40 |
| Submission: | Via MyKBS |
| Due Date: | Week 13 |
Your Task
This assessment is to be completed individually. In this assessment, you will create a presentation on recommending and designing solutions to business problems using data structures, abstract data types, and algorithms.
Prepare 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 Help
Imagine 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:
| LO1 | Investigate data structures and abstract datatypes. |
| LO4 | Recommend data structures and abstract typesas solutions for business problems. |
Students 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.
Academic Integrity and Conduct Policy
https://www.kbs.edu.au/admissions/forms-and-policies
KBS 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:
https://www.kbs.edu.au/admissions/forms-and-policies
 |
Penalties may be applied for assessment submissions that exceed prescribed limits.
Students 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=1481
Please see the level of Generative AI that this assessment is Level 2 has been designed to accept:
Traffic Light | Amount of Generative Artificial Intelligence (GenerativeAI) usage |
Evidence Required | This assessment (✓) |
Level 1 |
Prohibited:
No GenerativeAI allowed
This 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 2 |
Optional:
You may use GenerativeAI for research and content generation that is appropriately referenced.
See assessment instructions for details
This 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 GenerativeAI must be clearly referenced just as you would reference any other resource type used. Click on the link below to learn how to reference GenerativeAI.
https://library.kaplan.edu.au/referencing- other-sources/referencing-other-sources- generative-ai
In 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 3 |
Compulsory:
You must use GenerativeAI to complete your assessment
See assessment instruction for details
This 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-ai
In 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 zerofor the assessment. Ensure you follow the specific assessment instructions in the section above. |
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