Lecture

Information Representation: Binary Representations

Description

This lecture covers the representation of information in binary form, explaining how n bits can represent 2n distinct pieces of information. It delves into the efficiency of binary systems compared to unary systems, the use of bytes to compactly represent information, and the minimum alphabet size required to efficiently represent all integers. The lecture also explores the cognitive complexity of reading binary messages and the transition to more compact organizations like bytes. Additionally, it discusses the representation of integers, including positive and negative numbers, and decimal numbers, focusing on floating-point representation and controlled relative errors. The lecture concludes with an appendix on symbol representation, from alphabets to ideograms.

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.

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.