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Chemical Engineering Thermodynamics
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CC BY-NC-SA
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This course aims to connect the principles, concepts, and laws/postulates of classical and statistical thermodynamics to applications that require quantitative knowledge of thermodynamic properties from a macroscopic to a molecular level. It covers their basic postulates of classical thermodynamics and their application to transient open and closed systems, criteria of stability and equilibria, as well as constitutive property models of pure materials and mixtures emphasizing molecular-level effects using the formalism of statistical mechanics. Phase and chemical equilibria of multicomponent systems are covered. Applications are emphasized through extensive problem work relating to practical cases.

Subject:
Applied Science
Chemistry
Engineering
Physical Science
Physics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Tester, Jefferson
Trout, Bernhardt
Date Added:
09/01/2003
Computational Quantum Mechanics of Molecular and Extended Systems
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CC BY-NC-SA
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The theoretical frameworks of Hartree-Fock theory and density functional theory are presented in this course as approximate methods to solve the many-electron problem. A variety of ways to incorporate electron correlation are discussed. The application of these techniques to calculate the reactivity and spectroscopic properties of chemical systems, in addition to the thermodynamics and kinetics of chemical processes, is emphasized. This course also focuses on cutting edge methods to sample complex hypersurfaces, for reactions in liquids, catalysts and biological systems.

Subject:
Applied Science
Chemistry
Computer Science
Engineering
Physical Science
Physics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Trout, Bernhardt
Date Added:
09/01/2004
Ethics for Engineers: Artificial Intelligence
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CC BY-NC-SA
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Artificial Intelligence (AI), and the algorithmic judgment at its core, is developing at breakneck speed. This version of the popular Ethics for Engineers course focuses on the ethics issues involved in the latest developments of computer science.

Subject:
Applied Science
Arts and Humanities
Computer Science
Engineering
Philosophy
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Doneson, Daniel
Trout, Bernhardt
Date Added:
02/01/2020
Ethics of AI Bias
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CC BY-NC-SA
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This video aims to delve into the human problems brought out by issues in artificial intelligence, specifically with respect to bias. It is suitable for classroom use or as a standalone video for those who wish to understand the issue more deeply than is conventionally covered. For classroom use, we recommend watching the and working through the teaching materials provided for each chapter.

Subject:
Applied Science
Arts and Humanities
Computer Science
Engineering
Philosophy
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Minkov, Svetozar
Trout, Bernhardt
Date Added:
02/01/2023