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Algorithm Applies to the Resolve Business Problem Issues IT Assignment Help

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Question Task Id: 381326
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Assignment Task
 
 

Task
Investigate the use of an algorithm to solve a specific business problem
This assignment requires you to start by identifying a business problem that can be addressed using algorithmic software.
Note that for this assignment, you do not need to understand the exact details of how your chosen algorithm works or is coded.
Instructions:
Identify and investigate a business problem whose solution involves a non-trivial algorithm. Non-trivial algorithms must include iterations (i.e. loops or recursion) and be able to process data inputs of arbitrary size (eg datasets/lists/matrices of any size).While you will need to define a hypothetical scenario for your business problem (see below) you do not need to identify or research a specific company. Your problem should be a general class of problem typically faced by any business in a given sector. Examples of business problems addressed using non-trivial algorithms include: Operations optimisation: production planning, routing planning, resource optimisation, workforce scheduling, maintenance scheduling, call centre queue management …Marketing/Sales: market data analysis, predicting customer buying behaviour Finance/Trading: forecasting, financial analysis, trade optimisation Online Business: recommendations, search Industry/Product Specific: facial recognition, traffic management, and many more Whilst you can consider any algorithm, choosing an algorithm you have already covered (or will cover in Computational Thinking) is likely to help focus your thinking, egGauss-Jordan Elimination from Mathematics II Classification Tree Partitioning from Data Analytics I Knapsack Packing or Breadth-First Search from Computational Thinking (you can find out much more about these and other algorithms in your textbook: Introduction to Computation and Programming Using Python, John V. Guttage). Simplex Linear Programming from Computational Thinking Your report should have the following 4 sections and answer the following questions: Nature and history of your algorithm Briefly, describe – in your own words - your algorithm and how it works. This does not need to be a detailed description of how the algorithm works. (Do not simply copy & paste definitions. You must explain any technical terms you use.) Investigate and outline the history of your algorithm? Who invented the algorithm? When? What problem was it originally used to solve? How has it since been refined? Besides the problem you are focusing on, what other applications/problems has your algorithm be used to solve? Investigate and discuss any cited pros/cons of using this algorithm? How do these pros/cons relate to the nature and scale of the problem being solved? Your business problem Briefly, describe your chosen problem. What industry are your focusing on?

  • Why is your problem particularly associated with this industry?

  • What business decision is being made?

  • How does solving your problem impact the business?

  • Describe how this business problem can be decomposed (broken down) into smaller sub-problems?

  • Consider the ways in which the problem can be generalised. What are the simplest or most common versions of this business problem? What might make this problem more complex to solve? What unusual/extreme versions of this problem can you envisage or find?

  • Applying your algorithm to your business problem

  • Briefly, describe a hypothetical scenario for your business problem.

  • What aspect of the business problem does your algorithm particularly address in this scenario?

  • Describe the nature of the data being used by the algorithm in this scenario? How much data is there? How often is this data added to or updated?

  • Describe how often the algorithm needs to run in this scenario, eg continuously, daily, monthly, yearly?

  • Discuss how quickly your algorithm needs to provide a solution in your scenario? Also, discuss how necessary it is for the solution to be optimised. If not, how might you characterise a “good enough” solution?

  • Investigate, describe and reference any real-life examples of your chosen algorithm being used to solve your chosen business problem. If you are unable to find such examples, discuss why this may be.

  • Are there other algorithms that could be used to alternatively solve your business problem? What advantages/disadvantages do these alternatives have compared to your algorithm?

    


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  • Uploaded By : Hritik
  • Posted on : December 07th, 2019
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