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Linear Programming Course

What will I learn?

Unleash the power of optimisation with our Linear Programming Course, specifically designed for mathematics professionals looking to boost their analytical skills. Delve into the core principles 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. Get practical experience with software tools such as Python's PuLP and Excel Solver. Enhance your expertise and make data-driven decisions with assurance.

Apoia's Unique Features

Lifetime access to online courses
Certificate adhering to educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course schedule
Instant feedback on practical activities
Study at your convenience, without needing an internet connection

Develop skills

Strengthen the development of the practical skills listed below

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

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

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

Use Python and Excel: Utilise 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 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 it offers practical and relevant knowledge for your professional journey.