Lecture

Safety Data Sheet: Understanding Chemical Hazards

In course
DEMO: veniam veniam
Consequat velit veniam enim ad nulla in aliquip tempor enim aliqua. Ipsum incididunt ex elit exercitation dolore id nisi anim qui nisi minim est laboris. Anim ipsum dolor nostrud ut commodo labore laborum mollit labore do nisi non sunt irure. Deserunt aliqua culpa et voluptate consectetur.
Login to see this section
Description

This lecture covers the importance of Safety Data Sheets (SDS) in managing chemical risks, explaining the 16 chapters of an SDS, how to find specific information, and emergency measures in case of accidents. It also delves into the classification, composition, first aid, exposure controls, and environmental protection related to chemical hazards.

Instructors (2)
et cupidatat
Sunt deserunt aliqua reprehenderit est Lorem magna sint proident sunt duis eu nulla. Anim aliquip proident dolor nisi Lorem magna tempor magna nulla. Est adipisicing cupidatat laborum dolor incididunt irure minim et ex aliquip excepteur adipisicing nulla.
qui sint labore duis
Fugiat sint magna dolor Lorem cupidatat occaecat ipsum. Proident in laboris et in commodo duis pariatur. Quis cupidatat ut esse veniam sunt esse aliquip sit excepteur quis eiusmod eiusmod proident labore. Laboris amet est nulla sunt officia excepteur ullamco fugiat mollit culpa veniam.
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 (32)
Neural Networks: Training and Activation
Explores neural networks, activation functions, backpropagation, and PyTorch implementation.
Multiclass Classification
Covers the concept of multiclass classification and the challenges of linearly separating data with multiple classes.
Eye Safety in Laboratories
Emphasizes the importance of eye safety in laboratories, covering various hazards and the use of personal protective equipment to prevent accidents.
Statistical Modeling
Covers exercises on statistical modeling, including Gibbs Ising, GCM pruning, fairness, and simplification in teacher-student models.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
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.