Early set up for the coming project
- Use of git personal access token: https://mgimond.github.io/Colby-summer-git-workshop-2021/authenticating-with-github.html#saving-tokens-in-mac
- Link your github account to Colab: https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb#scrollTo=Rmai0dD30XzL
- Clone the github repo into Google Drive directory on Colab (in the directory of /drive/MyDrive/): https://www.youtube.com/watch?v=eLhy3_d2UPo
- If just cloning into the default directory, it’ll disappear, and you can’t commit changes made in the notebook.
- Recommend using Fine-grained tokens to protect other repositories and account security.
- Make sure you’re in the correct directory!
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understand git well: https://www.youtube.com/watch?v=yXT1ElMEkW8
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using git personal access token in Colab: https://medium.com/geekculture/using-git-github-on-google-colaboratory-7ef3b76fe61b
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using git SSH key in Colab: https://github.com/tsunrise/colab-github
a. Problem statement: describe the situation that you are going to simulate and analyze. b. Importance discussion: illustrate the importance of your selected case study, supported with related literature reference (e.g. published journals or books). c. Overview: an overview of the report, including the model you use and the conclusion you make based on the simulation results.
Demonstrate clear and solid computational modeling thinking, provide a clear modeling process, including: a. Explain why your selected type of model is suitable for your chosen case, supported with related literature reference (e.g. published journals or books). b. Clearly and logically demonstrate all the assumptions and rules of your model; c. Describe and explain the initial configuration and the parameter choices for your model. *Note: Your submitted .ipynb file should contain the corresponding code implementation of your described model. Detailed code comments should be given regarding your model details: rules, initial configuration, parameters etc.
Describe and discuss the simulation results, including: a. Results visualization and discussion [5 marks]: ● Visualization of the initial configuration and the visualization of the final simulation results. ● Discuss your findings of the simulation process after experiments, including any trends and patterns. b. Different parameter comparison and analysis [5 marks]: ● Compare the simulation results or quantitative values with at least two sets of different parameter variants of your model, e.g. different probability, different initial configuration, or any other associated parameter values of your model. ● Display the visualization results with different parameters, and discuss the influences of different parameters to your simulation results. *Note: Your submitted .ipynb file should contain the corresponding code implementation and the output of your results visualization. Detailed code comments should be given regarding the different chosen parameters.
Summarize the conclusion of your findings based on your simulation results, discuss the limitations of your model and justify your simulation results with the real-world phenomenon. Discuss about any future works.