Modelling with Python

Online training course
Written By Steven Scott

  • Welcome to this introductory-level course on modelling. This course will guide you through developing a mathematical model for a lake, understanding Python's structure and functionality, and setting up and solving problems using numerical software.

    You'll adopt a task-based approach to develop composite models, apply generic modelling procedures to create complex models, and use dependency graphs to analyse intricate systems.

    Combining these skills, you’ll tackle a practical problem in medicines manufacturing.

  • This course includes the following modules:

    • The Principles of Modelling and the Modelling Building Process (steps 1-4)

    • The model building process (steps 5-8)

    • An introduction to Generic Modelling, Dependency Graphs and Composite Models

    • Modelling in Medicines Manufacturing

    • Additional optional exercises

  • The main objectives of this course are to:

    • Develop a mathematical model for a simple system, in this case, a lake

    • Understand the structure and functionality of Python

    • Setup the problem on a numerical software package and solve it

    • Understand the task-based approach to developing composite models

    • Apply generic modelling procedures to write your own complex models

    • Use dependency graphs to analyse more complex systems

    • Combine the above learning outcomes to use the knowledge in a practical problem based on medicines manufacturing

      Note: Intro to Python and Intro to Machine Learning should be done as prerequisites to this course.

  • Engineers and scientists in pharmaceuticals and bioprocessing - Professionals working in medicine manufacturing who need to apply mathematical modelling techniques to optimise processes and improve decision-making.

    Data scientists and computational modellers - Those with a background in Python and machine learning who want to expand their skills in modelling and simulation.

    Professionals transitioning into computation modelling - Those with experience in related fields (e.g. chemical engineering, physics, or biology) who want to gain practical skills in modelling and simulation.

This course is delivered by CMAC.

 

Available now

Format: E-learning

Free for all CMAC members

Approx 5 hours

Register your interest:

Steven Scott

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