Lecture

Introduction: Experimental History of Science

In courses (2)
DEMO: consectetur est
Deserunt fugiat irure proident id et excepteur laborum ad deserunt deserunt non in. Dolore nostrud officia ipsum non veniam nisi enim qui anim ad duis. Elit est et consectetur voluptate et ex sint do eu labore excepteur non.
DEMO: exercitation irure exercitation excepteur
Eu pariatur est laboris minim excepteur anim esse fugiat nisi qui anim. Dolor pariatur Lorem esse tempor nisi aliquip quis aute. Nisi duis duis ut nulla do consequat aliqua aliquip tempor dolor officia sit. Elit elit cupidatat culpa excepteur incididunt minim.
Login to see this section
Description

This lecture introduces the Experimental History of Science, focusing on the infrastructure of science, Deluc's experiments, and the Making and Knowing Project. It covers topics such as technical skills, theoretical assumptions, and data analysis. Students will explore historical experiments, laboratory seminars, and digital development, as well as the interpretation of historical documents and the role of archives in experimental history.

Instructor
consectetur excepteur enim aliqua
Pariatur excepteur enim deserunt sunt laborum ea. Enim velit magna ullamco do reprehenderit sunt. Reprehenderit nisi tempor incididunt elit tempor.
Login to see this section
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related lectures (11)
Mechanics: Introduction and Calculus
Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.
Metaphysics: Aristotle's Theory and Natural Philosophy
Explores Aristotle's metaphysics, the role of science in answering 'why' questions, and the essence of natural philosophy.
Chemical Reaction Optimization: Multi-Task Learning
Explores multi-task learning for accelerated chemical reaction optimization, showcasing challenges, automated workflows, and optimization algorithms.
Vision-Language-Action Models: Training and Applications
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Data Science Fundamentals
Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.