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Linear Programming Course
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.
- 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.

flexible workload from 4 to 360h
certificate recognized by the MEC
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.
Elevify advantages
Develop skills
- 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
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.What our students say
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