Computational Methods

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Computational Methods in Pricing and Model Calibration (Coursera)

This course focuses on computational methods in option and interest rate, product’s pricing and model calibration. The first module will introduce different types of options in the market, followed by an in-depth discussion into numerical techniques helpful in pricing them, e.g. Fourier Transform (FT) and Fast Fourier Transform (FFT) [...]
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Audio Signal Processing for Music Applications (Coursera)

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, [...]
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Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 (Coursera)

A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your [...]
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Average: 5 ( 4 votes )

Quantitative Biology Workshop (edX)

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Quantitative Biology Workshop (edX)
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A workshop-style introduction to tools used in biological research. Discover how to analyze data using computational methods. Do you have an interest in biology and quantitative tools? Do you know computational methods but do not realize how they apply to biological problems? Do you know biology but do not [...]
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Average: 9 ( 3 votes )

Mathematical and Computational Methods (edX)

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Mathematical and Computational Methods (edX)
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Physicists use math all of the time in nearly everything that they work on. This course will help you understand how math is interconnected and recognize that math involves a handful of simple ideas that repeat. By the end of the course, you will be able to re-derive important [...]
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Principles, Statistical and Computational Tools for Reproducible Science (edX)

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others. Today the principles and techniques of reproducible research are more important than ever, across diverse disciplines from astrophysics to political science. [...]
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Non-Standard Computing (saylor.org)

This is a course that will cover several unconventional computational methods and theories, such as quantum computation, DNA and molecular computation, genetic algorithms, and cellular automata.
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