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Imperial College Business School Capstone Competition 2024

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Capstone Competition 2024

Imperial College Business School Capstone Competition 2024

for the collaborative group

Uploading your results

Here are the steps to upload your files, queries.txt and observations.txt:

  • prefix your files with your student id i.e 484_queries.txt and 484_observations.txt
  • copy your files to the appropriate week number folder within the results directory
  • that's it...Thank you!

Download the latest results

You will need to download the following into your Jupyter environment:

  • the Jupyter notebook load_capstone_results.ipynb
  • the initial_data directory which contains the functions' initial inputs and output files (these are numpy format files)
  • the data directory which contains the students result files (queries and observations - these are plain text files)
  • that's it...Thank you!

View the latest results

After downloading all the above into your Jupyter environment:

  • run the notebook load_capstone_results.ipynb
  • the initial data and the students' result data will be merged and stored in the directory update_data in numpy format files
  • to view your results, run the method print_student_results with your student_id e.g. loader.print_student_results(484). This will print your results, ordered by week number
  • you can view your results, sorted by function number, by including a True argument to the print_student_results method e.g. loader.print_student_results(484, True)
  • to view the (entire) updated results, run the method print_results e.g. loader.print_results()
  • the observation results can also be viewed graphically by running the method plot_observations. Pass in your student id as an argument and your observations will be highlighted on each graph e.g. loader.plot_observations(484)
  • run the method loader.save_results() to save the results to a CSV file
  • there are a collection of other useful functions such as:
  • get_initial_function_data
  • get_data_results
  • get_week_list
  • get_student_list
  • Thank you!

Latest graphs showing the weekly observations for each function

Graph Functions 1 - 8

Latest function data

Function data

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