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Linear Programming Course

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What will I learn?

Unlock the power of optimisation with our Linear Programming Course, designed for mathematics professionals seeking to enhance their analytical skills. Dive into the fundamentals of formulating and solving linear programming problems using graphical methods. Explore advanced topics like mixed-integer and non-linear programming. Master constraints, feasibility, and optimisation techniques, including the Simplex Method and duality. Gain hands-on experience with software tools like Python's PuLP and Excel Solver. Elevate your expertise and make data-driven decisions with confidence.

Apoia's Differentials

Online and lifetime access to courses
Certificate adhering to educational standards
Printable PDF summaries
Online assistant available at all times
Select and arrange the chapters you wish to study
Set your own course workload
Practical activities marked instantly
Study anytime, no internet needed

Develop skills

Strengthen the development of the practical skills listed below

Formulate LP problems: Master the art of creating linear programming models.

Solve with Graphical Method: Visualise solutions for linear programming challenges.

Apply Simplex Method: Efficiently find optimal solutions using this powerful algorithm.

Use Python and Excel: Leverage software tools for solving complex LP problems.

Analyse and Report: Interpret results and communicate findings effectively.

Suggested summary

Workload: between 4 and 360 hours

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

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.