Udemy – Mathematical Optimization in Python :Using PuLP, Python-MIP 2024-7

Apr 18, 2025 - 09:00

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Mathematical Optimization in Python course: Using PuLP Python-MIP. In today’s world, businesses face complex challenges in operational and long-term planning. Advanced optimization techniques are necessary to find the best solutions in these complex situations. Due to the rapid changes in information, decision making has become a challenging task. For this reason, specialists in this field are considered the most valuable people in the labor market. In this course, you will learn the necessary skills to solve problems using mathematical optimization and linear programming. We will focus on two powerful Python libraries, PuLP and Python-MIP.

What you will learn:

Basic concepts of mathematical optimization: including linear programming and its applications
Basic use of PuLP and Python-MIP Python libraries: differences and features of these two libraries
Classical optimization problems and their solutions: production scheduling, knapsack problem and traveling salesman problem (TSP).
Practical Applications: We build algorithms through step-by-step examples so you can easily understand the process of creating and solving optimization models. We’ll also provide an introduction to mathematical modeling so you can start solving your own problems right away.

This course is suitable for people who:

Interested in gaining expertise in mathematical optimization, especially linear programming, for practical applications in business.
Looking to master the basic use of Python libraries such as PuLP and Python-MIP.