Teaching Materials (1-7 of 7)

1. Jupyter Notebook for 2D Conduction in a Rectangular Corner

   Teaching Materials | 10 May 2023 | Contributor(s):: Nicholas Dang

   This script is a fully annotated Jupyter notebook that is targeted for use as a supplement to student learning of numerical methods in a typical undergraduate heat transfer course. The notebook explains the role of linear algebra in the problem set up, provides figures for visualizing the...

2. Jupyter Notebook for 2D Conduction in a Rounded Corner

   Teaching Materials | 10 May 2023 | Contributor(s):: Nicholas Dang

   This script is a fully annotated Jupyter notebook that is targeted for use as a supplement to student learning of numerical methods in a typical undergraduate heat transfer course. The notebook explains the role of linear algebra in the problem set up, provides figures for visualizing the...

3. Learning Python 3 using "Python for Everybody" with nanoHUB Jupyter Notebooks

   Teaching Materials | 06 Jul 2021 | Contributor(s):: Tanya Faltens

   This document provides instructions for setting up your nanoHUB file structure and using Jupyter notebooks in nanoHUB to go through the online course, "Python for Everybody".This course is free and readily available, but may not be what you are looking for.For a shorter tutorial...

4. The Jupyter Dashboard, Notebook and Terminal Interfaces in nanoHUB

   Teaching Materials | 06 Jul 2021 | Contributor(s):: Tanya Faltens

   This document describes the functionalities and appearance of the Jupyter Dashboard, Notebook and Terminal interfaces in nanoHUB.

5. Data Science and Machine Learning for MSE Students: introduction and Hands-on Activities

   Teaching Materials | 10 Sep 2019 | Contributor(s):: Alejandro Strachan, Juan Carlos Verduzco Gastelum, Saaketh Desai

   This document introduces basic concepts of data science and machine learning in the context of materials science applications. The focus is on hands-on activities where readers use open, online tools in nanoHUB to explore the concepts being introduced. Topics covered include querying data...

6. Uncertainty Quantification Tutorial using Jupyter Notebooks

   Teaching Materials | 02 Oct 2018 | Contributor(s):: Ilias Bilionis

   Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger the number of parameters required to accurately specify its initial/boundary conditions,...

7. Introduction to MATLAB - Jupyter Notebooks with Octave 4.2.0

   Teaching Materials | 14 Aug 2018 | Contributor(s):: Abhishek K. Umrawal

   Teaching material for "Introduction to MATLAB" a 40-hour workshop for Summer Undergraduate Research students organized by the Network for Computational Nanotechnology (NCN), Purdue University, IN.