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Mathematical Optimization for Engineers (edX)

Oct 4th 2021
Mathematical Optimization for Engineers (edX)
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Learn the mathematical and computational basics for applying optimization successfully. Master the different formulations and the important concepts behind their solution methods. Learn to implement and solve optimization problems in Python through the practical exercises.
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Identifying Patient Populations (Coursera)

This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data [...]
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Introduction to Logic (Coursera)

This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, [...]
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Average: 6 ( 3 votes )

Computational Reasoning (edX)

This module aims to enhance learners’ managerial abilities by equipping them with computational tools and philosophical critical reasoning skills, thus empowering them to make well-informed decisions based on data and to critically evaluate solutions.
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Neuronal Dynamics (edX)

The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail.
5
Average: 5 ( 2 votes )

Nonlinear Dynamics: Mathematical and Computational Approaches (Complexity Explorer)

This course provides a broad introduction to the field of nonlinear dynamics, focusing both on the mathematics and the computational tools that are so important in the study of chaotic systems. The course is aimed at students who have had at least one semester of college-level calculus and physics, [...]
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