Foundations of Infochemistry and Computational Science

Infochemistry is the cutting-edge field combining chemical knowledge with information technology and data science. This course introduces you to the principles needed to navigate this rapidly evolving scientific landscape. By completing this course, you will grasp the fundamental concepts of using computational modeling and AI to predict properties, design new materials, and automate lab processes. You will gain a strong conceptual understanding of how data drives modern chemical research and development. What you'll learn: * Understand the core principles of Infochemistry, Cheminformatics, and Materials Informatics. * Learn how chemical structures and properties are represented and digitized for computational analysis. * Apply foundational concepts of computational modeling to predict molecular behavior and material characteristics. * Practice recognizing use cases for artificial intelligence and machine learning in optimizing chemical synthesis and discovery workflows. * Configure basic data analysis pipelines used for interpreting large datasets generated in modern laboratories. The course begins with defining the terminology and core concepts of combining chemistry and informatics. We then move into detailed explanations of data representation and the application of computational models, concluding with an overview of AI-driven research workflows. This course is designed for absolute beginners with no prior experience in cheminformatics or advanced programming. We assume a basic understanding of chemistry is helpful but not required. Start exploring the future of scientific discovery today.