Numerical Optimization and Operations Research in Python

About Numerical Optimization and Operations Research in Python

Numerical Optimization and Operations Research in Python

Use data efficiently to support decision-making by applying numerical optimization and operations research concepts seen throughout this comprehensive course. It combines theoretical foundations and practical coding applications, designed to empower you with the skills needed to tackle complex problems in a professional or academic context.

You will learn:

Theory:

Principles of Mathematical Optimization

Linear programming (LP)

Integer and Mixed-integer linear programming (MILP)

Handle infeasible scenarios

Multi-objective hierarchical (lexicographic) formulations

Constructive Heuristics and Local Search

Software:

Pyomo

Google OR-Tools

HiGHS

Problems:

Knapsack

Product-Mix

Transportation

Lot-Sizing

Job-Shop Scheduling

Facility Dispersion

Traveling Salesman

Capacitated Vehicle Routing Problem

Industry-Grade Skills: By the end of this course, you'll be able to formulate and solve your own optimization problems, a highly sought-after competency in industries ranging from logistics to finance. You'll also be able to convert your models into scalable programs for your company or team even though they are not familiar with optimization.

Who is this course for?

Data scientists and engineers who want to add optimization skills to their toolkit.

Professionals in logistics, supply chain management, or finance, who are looking to leverage optimization for decision-making.

Academics and students seeking a practical application of operations research and optimization theories.

Course Features:

More than 4 hours of comprehensive video lectures explaining concepts in a clear and engaging manner.

13+ Interactive Python notebooks for hands-on practice (and corresponding solutions).

Carefully selected articles and external references to improve your learning experience.

Access to a community forum for discussion and networking with fellow learners.

Lifetime access to course materials, including future updates.

Embark on this journey to master decision-making using optimization in Python. Whether you aim to advance your career, academically explore operations research, or simply enjoy the thrill of solving complex problems, this course is your gateway to new possibilities.