Predictive Models for Toxic Chemical Releases (Coursera)

Predictive Models for Toxic Chemical Releases (Coursera)

Discover the core principles of process safety and risk analysis in chemical engineering through our dynamic course. Gain expertise in modeling liquid and gas leaks, accurately assessing potential material releases, and calculating downwind exposures to toxic chemicals using state-of-the-art dispersion models. This course equips chemical engineers with essential skills to evaluate and mitigate hazardous concentrations effectively, ensuring industrial process safety.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

From theoretical foundations to practical applications, participants will learn to propose prevention measures and advance their careers in chemical engineering. Join us to elevate your proficiency in process safety and make a meaningful impact in the field.

Syllabus

Getting Started & Source Models: Liquid Leaks
After this module, you will be able to describe the terms that make up the mechanical energy balance. You will be able to apply the mechanical energy balance to derive a simple source model for a liquid leak through a hole and be able to extend the simple source model for liquid leak through a hold to account for a situation where the change in liquid level is significant. You will also be able to incorporate frictional losses in piping systems into liquid source model derivation.

Soure Models: Gas Leaks
After this module, you will be able to apply the mechanical energy balance to derive a simple source model for a gas leak through a hole. You will also be able to use models of adiabatic and isothermal gas or vapor flows through pipes and understand challenges with deriving models for such flows. You will be able to estimate volatile vapor component concentrations in enclosed spaces and assess the potential for hazardous concentrations and be able to describe source model selection for scenarios involving flashing liquids.

Dispersion: Plume Models
After this module, you will be able to describe air dispersion and the parameters required to describe it. You will be able to formulate neutrally buoyant plume dispersion models. You'll also be able to perform calculations using plume models and use results to identify potential hazardous situations and propose prevention/mitigation measures if necessary.

Dispersion: Puff Models
After this module, you will be able to formulate neutrally buoyant puff models and be able to describe isopleths and how they are used in evaluating puff models. You will be able to perform calculations using puff models and use results to identify potential hazardous situations and propose prevention/mitigation measures if necessary.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Predictive Modeling and Analytics (Coursera) Coursera
University of Colorado Boulder

Predictive Modeling and Analytics (Coursera)

Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business.

Aug 31st 2026
4 Weeks
Thermodynamique : fondements (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Thermodynamique : fondements (Coursera)

Ce cours vous apportera une compréhension des concepts fondamentaux de la thermodynamique du point de vue de la physique, de la chimie et de l’ingénierie. Il est scindé un deux MOOCs. Dans la première partie, le Professeur J.-Ph. Ansermet de l’EPFL et son collaborateur le Dr. Sylvain Bréchet ont rassemblé en quatre leçons tous les principes fondamentaux de la thermodynamique. La deuxième partie du MOOC illustre l’approche thermodynamique par une série d’applications présentées par des spécialistes provenant de diverses institutions partenaires du réseau RESCIF.

Sep 14th 2026
4 Weeks
Chemical Engineering Thermodynamics 1 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Chemical Engineering Thermodynamics 1 (Coursera)

An appreciation of thermodynamics is required to become a chemical and biomolecular engineer. Thermodynamics can assess the viability of a process and is one of the curriculum's most essential topics. The principles are utilized in following engineering courses (kinetics, mass transfer, design, materials) and are applicable to numerous engineering disciplines. The increased emphasis on energy usage and transformation as a result of rising demand, diminishing supply, and global warming necessitates that the engineers who will tackle these issues have a firm grasp of thermodynamics.

Aug 31st 2026
5-12 Weeks
Introduction to Physical Chemistry (Coursera) Coursera
University of Manchester

Introduction to Physical Chemistry (Coursera)

Chemical reactions underpin the production of pretty much everything in our modern world. But, what is the driving force behind reactions? Why do some reactions occur over geological time scales whilst others are so fast that we need femtosecond-pulsed lasers to study them? Ultimately, what is going on at the atomic level? Discover the answers to such fundamental questions and more on this course in introductory physical chemistry.

Aug 24th 2026
5-12 Weeks
Introduction to Forensic Science (Coursera) Coursera
Nanyang Technological University

Introduction to Forensic Science (Coursera)

We have all seen forensic scientists in TV shows, but how do they really work? What is the science behind their work? The course aims to explain the scientific principles and techniques behind the work of forensic scientists and will be illustrated with numerous case studies from Singapore and around the world.

Aug 24th 2026
5-12 Weeks
Materials Data Sciences and Informatics (Coursera) Coursera
Georgia Institute of Technology

Materials Data Sciences and Informatics (Coursera)

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts.

Sep 7th 2026
5-12 Weeks
Fundamentals of Macroscopic and Microscopic Thermodynamics (Coursera) Coursera
University of Colorado Boulder

Fundamentals of Macroscopic and Microscopic Thermodynamics (Coursera)

Course 1 first explores the basics of both macroscopic and microscopic thermodynamics from a postulatory point of view. In this view, the meaning of temperature, thermodynamic pressure and chemical potential are especially clear and easy to understand. In addition, the development of the Fundamental Relation and its various transformations leads to a clear path to property relations and to the concept of ensembles needed to understand the relationship between atomic and molecular structural properties and macroscopic properties.

Aug 31st 2026
3 Weeks
Mastering Data Analysis in Excel (Coursera) Coursera
Duke University

Mastering Data Analysis in Excel (Coursera)

Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits.

Aug 24th 2026
5-12 Weeks
Chemical Biology (Coursera) Coursera
University of Geneva

Chemical Biology (Coursera)

Chemical biology is a burgeoning field that has rapidly risen to prominence. This surge of interest has been fuelled by chemical biology’s applicability to understanding critical processes in live cells or model organisms in real time. This success has arisen because chemical biology straddles a nexus between chemistry, biology, and physics. Thus, chemical biology can harness rapid chemistry to observe or perturb biological processes, that are in turn reported using physical assays, all in an otherwise unperturbed living entity. Although its boundaries are endless, the multidisciplinary nature of chemical biology can make the field seem daunting; we beg to differ! Here, we deconstruct chemical biology into its core components, and repackage the material.

Aug 31st 2026
5-12 Weeks
General Chemistry: Concept Development and Application (Coursera) Coursera
Rice University

General Chemistry: Concept Development and Application (Coursera)

This course will cover the topics of a full year, two semester General Chemistry course. We will use a free on-line textbook, Concept Development Studies in Chemistry, available via Rice’s Connexions project. The fundamental concepts in the course will be introduced via the Concept Development Approach developed at Rice University. In this approach, we will develop the concepts you need to know from experimental observations and scientific reasoning rather than simply telling you the concepts and then asking you to simply memorize or apply them.

Aug 24th 2026
5-12 Weeks