NATCOR 2025

CHANGELOG.md

@@ -9,10 +9,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Added
 
+* `07a_exercise.ipynb`and `07a_solutions.ipynb`: simple exercises to complement learning in `07_experiments.ipynb`
 * `10_multiple_arrival_processes.ipynb`: simulating multiple arrivals classes each with their own distribution
 * `11_blocking.ipynb`: simulating the blocking of one resource while queuing for another.
 * `12_arrival_classes.ipynb`: simulate unique processes for different classes of arrival to the model.
 * `distributions.py`: module containing some distributions to reduce code in notebooks.
+* `basic_model.py`: contains a single activity version of the call centre model to use with `07_exercise.ipynb`
 
 ## [v0.2.0 - 11/02/2024](https://github.com/pythonhealthdatascience/intro-open-sim/releases/tag/v0.2.0) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.14849934.svg)](https://doi.org/10.5281/zenodo.14849934)
 

README.md

@@ -30,6 +30,8 @@ We then move on to some more advanced concepts, and create a full process model:
 * `05_basic_results.ipynb`: Collecting results from a single run by storing process metrics during a run and performing calculations at the end
 * `06a_basic_results_exercise.ipynb`: An exercise to practice collecting results from a `simpy` model.
 * `07_experiments.ipynb`: our approach to setting up a model for multiple replications, experimentation, and common random numbers
+* `07a_exercise.ipynb`: An exercise to practice using an `Experiment` class with a model
+* `07b_solutions.ipynb` Solutions to the `Experiment` exercises.
 * `08_full_model.ipynb`: an extended version of the 111 call centre process. We also introduce a warm-up period
 * `09_time_weighted_calcs.ipynb`: An alternative approach to collects results for queue length and resource utilisation.