Extra Activity 2:-
- Here is the Information of this activity >>
· Activity : Perform a Monte Carlo Simulation using Google Colab.
This activity requires you to work on the Python Notebook that was discussed in Week 0 Part 2 content.
1. Open the Python Notebook shared with you in the supplementary content
2. Make a copy this file into your drive (You are free to organize the python notebook within your drive)
3. Open the file using Google Colab
4. Go through the code in Google Colab (and also refer to last video of Week 0 Part 2) to understand how the parameters can be manipulated in Python Notebook.
5. Select an experiment and event from various examples seen so far in the lectures (or any other problem that interests you).
6. Add the selected experiment and event to the notebook and perform a Monte Carlo simulation to verify the computed probability.
7. Add the Google Colab notebook to the site (Make sure that sharing permission is view for everyone in Onlinedegree domain) under the heading ‘Activity 2’.
Grading criteria:
No. | Grading criteria | Criteria description | Score for target performance | Score for absent/Not target performance |
1. | Presence of the colab notebook | The URL of the colab notebook present under the section “Activity 2” in the Statistics 2 class page. | 10 Marks | 0 Marks |
2. | Description | The details of the simulated experiment and event added to the Google Sites page. | 10 Marks | 0 Marks |
3. | Computation | The calculations of probabilities for the above events are present in the google colab notebook(as text). | 30 Marks | 0 Marks |
4. | Simulation | Monte Carlo simulation performed for the above experiment in the Colab notebook. | 30 Marks | 0 Marks |
5. | Analysis | The probabilities computed manually are similar to the value obtained using Monte Carlo simulation. | 20 Marks | 0 Marks |
Add the marks in (1), (2), (3), (4) and (5) above and provide the total mark as your review score. If a student gets 0 mark for all the criteria, then give them the score 1.