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Applied mathematics course

Applied mathematics course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This Applied Mathematics Course gives you practical tools to model bike-sharing demand, size station capacity, and evaluate performance using clear, data-driven methods. You will learn to clean and preprocess open datasets, build probabilistic demand models, set up daily allocation optimization, and test simple rebalancing policies so you can quantify service levels and improve real-world system reliability.

Elevify advantages

Develop skills

  • Bike-share demand modeling: build Poisson and time-series models fast.
  • Capacity and queue analysis: compute shortages, overflows, and service.
  • Optimization for fleets: set up LP and MIP models for daily bike allocation.
  • Scenario and policy testing: evaluate rebalancing rules under rush-hour demand.
  • Simulation and validation: stress-test models with discrete-event experiments.

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.
Workload: between 4 and 360 hours

What our students say

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