Mathematical Modeling Course
This course equips learners with essential skills in mathematical modelling for real-world applications, focusing on growth models, scenario analysis, and uncertainty management to support data-driven decision-making in bike-sharing systems.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Mathematical Modelling Course teaches you to construct and adjust growth models, pose practical bike-sharing queries, and convert limited data into dependable predictions. You will determine parameters, assess models, create scenarios, and convert forecasts into solid resource strategies, all while managing uncertainty, confirming outcomes, and enhancing models with outside factors for improved, data-based choices.
Elevify advantages
Develop skills
- Build and calibrate growth models: fit exponential, linear, and logistic demand.
- Translate bike-share forecasts into concrete fleet, station, and staffing plans.
- Design data-driven scenarios: baseline, policy shifts, and stress-test projections.
- Formulate ODE and discrete models with seasonality, pricing, and capacity limits.
- Run sensitivity and uncertainty analysis to validate and stress-test model outputs.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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