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Overview of Computational Nanoscience: a UC Berkeley Course

Computational Nanoscience, Homework Assignment 1: Averages and Statistical Uncertainty

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Last 12 Months: updated 01 Jul, 2008
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Avg. Review: 5.0 out of 5 stars
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Contributor(s) Jeffrey C Grossman, Elif Ertekin
University of California, Berkeley
Abstract

The purpose of this assignment is to explore statistical errors and data correlation.

This assignment is to be completed following lectures 1 and 2 using the "Average" program in the http://www.nanohub.org/tools/ucb_compnano/>Berkeley Computational Nanoscience Toolkit.

Credits University of California, Berkeley
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If you reference this work in a publication, please cite as follows:

  • Grossman, Jeffrey C; Ertekin, Elif (2008), "Computational Nanoscience, Homework Assignment 1: Averages and Statistical Uncertainty," https://www.nanohub.org/resources/3935/.

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Date posted 30 Jan, 2008
Type Teaching Materials
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  1. 5.0 out of 5 stars 

    Posted on 14 February, 2008 by Anonymous

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  • 9.2 Ranking Courses Part of: Overview of Computational Nanoscience: a UC Berkeley Course

    Overview of Computational Nanoscience: a UC Berkeley Course

    Type Courses
    Contributor(s) Jeffrey C Grossman, Elif Ertekin
    Date 01 Feb, 2008
    Avg. Rating 5.0 out of 5 stars  (3)
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    This course will provide students with the fundamentals of computational problem-solving techniques that are used to understand and predict properties of nanoscale systems. Emphasis will be placed on how to use simulations effectively, intelligently, and cohesively to predict properties that occur …

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