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Learning Optimization with Pyomo

person icon Ayanangshu Das

4.2

Learning Optimization with Pyomo

Mathematical modeling and problem-solving techniques using Pyomo

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Ayanangshu Das

category icon Business,Operations,Operation Management

Lectures -40

Duration -3.5 hours

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4.2

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Course Description

This course is designed to provide a comprehensive understanding of mathematical modeling and problem-solving techniques using Pyomo, a powerful optimization modeling language in Python.

In this course, you will embark on a journey to explore the exciting world of optimization, where you will learn how to formulate and solve complex problems to make optimal decisions. Through a combination of theoretical explanations, practical examples, and hands-on exercises, you will gain a solid foundation in optimization principles and the skills needed to apply them in real-world scenarios.

Starting with an introduction to optimization fundamentals, you will learn about objective functions, decision variables, and constraints. You will discover linear and nonlinear optimization problem formulations and understand their applications in diverse domains. With Pyomo as your toolkit, you will dive into the syntax, structure, and capabilities of this powerful optimization modeling language.

The course will cover various optimization techniques, including linear programming, mixed-integer linear programming, and nonlinear programming. You will explore different solution methods, algorithms, and approaches to handle various optimization challenges. Through practical coding exercises and projects, you will gain hands-on experience in implementing optimization models using Pyomo and solving them with different solvers.

Moreover, the course will delve into result analysis and interpretation, enabling you to evaluate solution quality, perform sensitivity analysis, and make data-driven decisions based on optimization outcomes. You will also learn how to visualize and present optimization results effectively.

By the end of this course, you will have the knowledge and skills to confidently tackle complex optimization problems using Pyomo. Whether you are an aspiring data scientist, an operations researcher, or a decision-maker in any field that requires optimal decision-making, this course will empower you to unlock the potential of optimization and make informed choices that drive efficiency and productivity.

Join me on this optimization journey and take a step towards mastering mathematical modeling and problem-solving for real-world optimization challenges with Pyomo.

Goals

  • Students will be able to identify optimization problems, formulate mathematical models, and implement them using Pyomo
  • Students will formulate and solve a wide range of optimization problems, including linear programming, mixed-integer linear programming, quadratic programming
  • Students will analyze and interpret optimization outcomes, make informed decisions, and effectively communicate findings to stakeholders
  • students will have a solid understanding of optimization theory, practical experience in using Pyomo for modeling, and the ability to solve optimization problem

Prerequisites

  • Basic knowledge of python
Learning Optimization with Pyomo

Curriculum

Check out the detailed breakdown of what’s inside the course

What is Optimization

3 Lectures
  • play icon Welcome 01:32 01:32
  • play icon Introduction to Optimization 03:02 03:02
  • play icon Basics Of Optimization 02:55 02:55

Programming concepts of Python

5 Lectures
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Installing Python

2 Lectures
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Learning Programming in Pyomo

11 Lectures
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Example Problems of solving Business Critical Problems across different domains

18 Lectures
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Conclusion and Next Steps

1 Lectures
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Instructor Details

ayanangshu das

ayanangshu das

I am a project management, optimization, and simulation expert with over a decade of experience in the field. With an MBA in Operations Research from IIM Mumbai (NITIE), I have a deep understanding of mathematical modeling and optimization techniques. Driven by my passion for teaching, I have mentored numerous students and professionals, equipping them with the skills to tackle complex problems using Pyomo. As an instructor, I am committed to helping learners unlock their potential and achieve success in the fascinating world of optimization

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