Mathematical Optimization

After completing this course, learners will be able to: analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients; approximately optimize different types of functions commonly used in machine learning using first-order (gradient descent) and second-order (Newton’s method) iterative methods; visually interpret [...]

Immerse yourself in the dynamic realm of e-commerce supply chains with our course, "Supply Chain Management for E-commerce." Designed for emerging entrepreneurs, small business owners, and career switchers, this immersive journey equips learners with comprehensive insights. From foundational supply chain components to the strategic integration of technology and sustainability, [...]

Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to [...]

In this data-driven world, companies are often interested in knowing what is the "best" course of action, given the data. For example, manufacturers need to decide how many units of a product to produce given the estimated demand and raw material availability? Should they make all the products in-house [...]

Welcome to Supply Chain Analytics! In this course you will learn about advanced decision problems in Supply Chain Management and the application of optimisation formulations and their solutions to address them. The course has been designed to help you advance your career as business analysts, supply chain managers, and [...]