Cheatsheets

Introduction to Computational Physics Computational physics combines physics, computer science, and applied mathematics to solve complex physical problems using numerical methods and computer simulations. It bridges theoretical models and experimental observations by enabling scientists to solve equations that cannot be solved analytically, simulate complex systems, and analyze large datasets. Core Concepts and Principles Fundamental Building […]

Introduction to Computational Photography Computational photography combines digital image capture with computational algorithms to overcome traditional photography limitations and create enhanced images. Unlike conventional photography that relies solely on optical processes, computational photography leverages algorithms, machine learning, and software processing to manipulate images at the pixel level, allowing photographers to achieve results previously impossible with

Introduction to Computational Philosophy Computational Philosophy is an interdisciplinary field that applies computational methods and formal models to philosophical questions. It leverages techniques from computer science, artificial intelligence, and formal logic to analyze philosophical problems, simulate thought experiments, and develop new philosophical insights. This approach matters because it provides novel ways to tackle age-old philosophical

Introduction to Computational Pathology Computational Pathology is the integration of digital imaging, computer vision, and machine learning with traditional pathology to enhance disease diagnosis, research, and personalized medicine. This rapidly evolving field transforms glass slides into digital data that can be analyzed computationally to improve diagnostic accuracy, efficiency, and reproducibility while enabling quantitative assessment previously

Introduction to Computational Mechanics Computational mechanics is the discipline that uses numerical methods and algorithms to analyze and solve problems in mechanics. It integrates principles from classical mechanics, mathematics, and computer science to simulate and predict the behavior of physical systems under various conditions. By creating mathematical models of real-world mechanical phenomena and solving them

Introduction to Computational Materials Science Computational Materials Science uses mathematical models, algorithms, and simulation techniques to study, predict, and optimize materials properties and behavior across scales. This interdisciplinary field bridges physics, chemistry, materials science, and computer science to enable virtual materials discovery, reduce experimental costs, predict properties before synthesis, understand fundamental mechanisms, and accelerate materials

Introduction: What is Computational Linguistics? Computational linguistics is an interdisciplinary field that applies computational methods to analyze, understand, and generate human language. It sits at the intersection of linguistics, computer science, artificial intelligence, and cognitive science. The field enables technologies like machine translation, speech recognition, text-to-speech systems, chatbots, sentiment analysis, and information extraction. Computational linguistics

Introduction: Understanding Computational Learning Computational Learning sits at the intersection of computer science, statistics, and learning theory, focusing on how machines can learn from data to make predictions, decisions, and discoveries. This field encompasses the theoretical foundations, algorithms, and applications that enable computers to improve their performance through experience. From recommendation systems to autonomous vehicles,

Introduction to Computational Imaging Computational imaging combines optical systems with algorithms to create and process images in ways traditional imaging cannot achieve. It leverages computation to extract more information from captured data, enabling capabilities like seeing around corners, looking through scattering media, or reconstructing 3D volumes from 2D projections. This interdisciplinary field integrates optics, signal

Introduction to Computational Geoscience Computational geoscience applies computational methods, mathematical modeling, and data analysis techniques to study Earth systems and processes. It integrates principles from geology, geophysics, hydrology, atmospheric science, and oceanography with computer science, mathematics, and statistics to solve complex Earth science problems. This interdisciplinary field enables scientists to simulate Earth processes, analyze large