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2000 Midterm I + Solutions
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Midterm examination for a class at MIT covering game theory and its applications to economics. The one-hour-and-twenty-minute open book examination asks open ended theoretical questions. The exam contains questions and solutions.

Subject:
Mathematics
Economics
Material Type:
Assessment
Provider:
TeachingWithData.org
Provider Set:
TeachingWithData.org
Author:
Massachusetts Institute of Technology
Muhamet Yildiz
Date Added:
11/07/2014
5 Pythagorean Solids
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CC BY-NC-SA
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This OER explores the basic organization of the Pythagorean Solids. It contains both an activity as well as resources for further exploration. It is a product of the OU Academy of the Lynx, developed in conjunction with the Galileo's World Exhibition at the University of Oklahoma.

Subject:
Arts and Humanities
History
Mathematics
Material Type:
Activity/Lab
Diagram/Illustration
Homework/Assignment
Lecture Notes
Primary Source
Student Guide
Author:
Brent Purkaple
Kerry Magruder
Date Added:
01/28/2016
Abrupt climate change, greenhouse gases, and the bipolar see-saw
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CC BY-NC-SA
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In this activity, students work with paleoclimate proxy data (d18O, CH4, CO2)from the Byrd and GISP2 ice cores to investigate millennial-scale climate changes during the Last Glacial/Deglacial time periods. Students must prepare a publication quality plot of the data and answer several questions about the similarities and differences between the time-series (north-south phasing, amplitude, symmetry) and use this information to assess the bipolar see-saw mechanism for abrupt climate changes. Students are encouraged to read two journal articles for more information and to synthesize their results with other information from lectures and earlier readings.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Environmental Science
Biology
Measurement and Data
Material Type:
Activity/Lab
Homework/Assignment
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Kathleen Johnson
Date Added:
08/28/2019
Ace Maths: Solutions Unit 2 - Developing Understanding in Mathematics
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CC BY-NC-SA
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The solutions unit consists of the following: General points for discussion relating to the teaching of the mathematical content in the activities. Step-by-step mathematical solutions to the activities. Annotations to the solutions to assist teachers in their understanding the maths as well as teaching issues relating to the mathematical content represented in the activities. Suggestions of links to alternative activities for the teaching of the mathematical content represented in the activities.

Subject:
Mathematics
Material Type:
Lecture Notes
Reading
Unit of Study
Provider:
OER Africa
Date Added:
02/27/2012
Ace Maths Unit 2: Developing Understanding in Mathematics
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CC BY-NC-SA
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The solutions unit consists of the following: General points for discussion relating to the teaching of the mathematical content in the activities. Step-by-step mathematical solutions to the activities. Annotations to the solutions to assist teachers in their understanding the maths as well as teaching issues relating to the mathematical content represented in the activities. Suggestions of links to alternative activities for the teaching of the mathematical content represented in the activities

Subject:
Mathematics
Material Type:
Lecture Notes
Reading
Unit of Study
Provider:
OER Africa
Date Added:
02/27/2012
Adopt a Blob
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CC BY-NC-SA
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At the beginning of the course, each student is assigned a unique blob - or a piece of material of a particular shape with specific material properties (density, bulk modulus, composition, viscosity, volatile content, etc) that is residing within the mantle at a specific environment (depth, pressure, temperature). Then as the semester continues as a topic is covered the student must assess (either quantitatively or qualitatively) what observable would be associated with their blob (for example, gravity anomalies, geoid anomalies, surface expressions, seismic tomography, phase transition topography). The student then develops a portfolio of their blob and its observables to then present at the end of the course with an explanation/interpretation for the source of the blob culiminating at building a geo-story around their anomaly.

Some blobs could be amorphous anomalies whereas other could have physical significance (though best not to tell the students ahead of time so they can make their own discovery as to what the blob is or isn't) such as subducted slabs at the CMB (or 660 km), plumes, lithospheric drip, lithospheric root, or a boring typical piece of the mantle.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Communication
Biology
Measurement and Data
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Catherine Cooper
Date Added:
03/02/2020
Advanced Engineering Mathematics and Analysis - Nils Tilton & Corey R. Randall
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CC BY-NC-SA
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An open-source textbook covering vector calculus, ordinary and partial differential equations, and Fourier series. The textbook is used in a first-year graduate level course in the Department of Mechanical Engineering at the Colorado School of Mines. It undergoes extensive revisions annually, but is relatively complete.

Subject:
Engineering
Mathematics
Material Type:
Textbook
Author:
Allyson Turner
Emily Bongiovanni
Nils Tilton
Seth Vuletich
Date Added:
08/19/2022
Algebra
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CC BY-SA
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In this video, we explore some concepts fundamental to algebra. To streamline the discussion of relationships between physical quantities, we introduce variables, functions, composition, and inverse. By thinking about the concept of an inverse function, we obtain our first glimpse of the imaginary root (i.e. square-root of -1) and the complex plane.

Subject:
Mathematics
Algebra
Material Type:
Lecture Notes
Provider:
Look At Physics
Provider Set:
A Mathematical Way to Think About Biology
Author:
David Liao
Date Added:
10/08/2011
Algorithms
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CC BY-SA
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This book aims to be an accessible introduction into the design and analysis of efficient algorithms. Throughout the book we will introduce only the most basic techniques and describe the rigorous mathematical methods needed to analyze them.

The topics covered include:

The divide and conquer technique.
The use of randomization in algorithms.
The general, but typically inefficient, backtracking technique.
Dynamic programming as an efficient optimization for some backtracking algorithms.
Greedy algorithms as an optimization of other kinds of backtracking algorithms.
Hill-climbing techniques, including network flow.

The goal of the book is to show you how you can methodically apply different techniques to your own algorithms to make them more efficient. While this book mostly highlights general techniques, some well-known algorithms are also looked at in depth. This book is written so it can be read from "cover to cover" in the length of a semester, where sections marked with a * may be skipped.

Subject:
Mathematics
Material Type:
Textbook
Provider:
Wikibooks
Date Added:
07/27/2016
Análisis de poder estadístico y cálculo de tamaño de muestra en R: Guía práctica
Unrestricted Use
CC BY
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Esta guía práctica acompaña la serie de videos Poder estadístico y tamaño de muestra en R, de mi canal de YouTube Investigación Abierta, que recomiendo ver antes de leer este documento. Contiene una explicación general del análisis de poder estadístico y cálculo de tamaño de muestra, centrándose en el procedimiento para realizar análisis de poder y tamaños de muestra en jamovi y particularmente en R, usando los paquetes pwr (para diseños sencillos) y Superpower (para diseños factoriales más complejos). La sección dedicada a pwr está ampliamente basada en este video de Daniel S. Quintana (2019).

Subject:
Health, Medicine and Nursing
Biology
Statistics and Probability
Psychology
Material Type:
Reading
Author:
Juan David Leongómez
Date Added:
08/18/2020
Análisis y visualización de datos usando Python
Unrestricted Use
CC BY
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Python es un lenguaje de programación general que es útil para escribir scripts para trabajar con datos de manera efectiva y reproducible. Esta es una introducción a Python diseñada para participantes sin experiencia en programación. Estas lecciones pueden enseñarse en un día (~ 6 horas). Las lecciones empiezan con información básica sobre la sintaxis de Python, la interface de Jupyter Notebook, y continúan con cómo importar archivos CSV, usando el paquete Pandas para trabajar con DataFrames, cómo calcular la información resumen de un DataFrame, y una breve introducción en cómo crear visualizaciones. La última lección demuestra cómo trabajar con bases de datos directamente desde Python. Nota: los datos no han sido traducidos de la versión original en inglés, por lo que los nombres de variables se mantienen en inglés y los números de cada observación usan la sintaxis de habla inglesa (coma separador de miles y punto separador de decimales).

Subject:
Computer Science
Information Science
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Alejandra Gonzalez-Beltran
April Wright
chekos
Christopher Erdmann
Enric Escorsa O'Callaghan
Erin Becker
Fernando Garcia
Hely Salgado
Juan Martín Barrios
Juan M. Barrios
Katrin Leinweber
Laura Angelone
Leonardo Ulises Spairani
LUS24
Maxim Belkin
Miguel González
monialo2000
Nicolás Palopoli
Nohemi Huanca Nunez
Paula Andrea Martinez
Raniere Silva
Rayna Harris
rzayas
Sarah Brown
Silvana Pereyra
Spencer Harris
Stephan Druskat
Trevor Keller
Wilson Lozano
Date Added:
08/07/2020
Archimedes and Pi
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Spreadsheets across the Curriculum Activity. Student build spreadsheets that allow them to estimate pi using the same iterative process as Archimedes.

Subject:
Mathematics
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Pedagogy in Action
Author:
Christina Stringer
Date Added:
11/06/2014
Authenticity/Agency Rubrics (Version 1)
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CC BY
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The Authenticity and Agency rubrics are based on elements from two frameworks: Student as Producer and Social Pedagogies. The rubrics were created for instructors and instructional designers to use as they develop authentic learning experiences in the course design process.

Subject:
Applied Science
Arts and Humanities
Business and Communication
Career and Technical Education
Education
English Language Arts
History
Law
Life Science
Mathematics
Physical Science
Social Science
Material Type:
Teaching/Learning Strategy
Author:
Jennifer Englund
Annette McNamara
Date Added:
01/29/2019
Automation and Make
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CC BY
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A Software Carpentry lesson to learn how to use Make Make is a tool which can run commands to read files, process these files in some way, and write out the processed files. For example, in software development, Make is used to compile source code into executable programs or libraries, but Make can also be used to: run analysis scripts on raw data files to get data files that summarize the raw data; run visualization scripts on data files to produce plots; and to parse and combine text files and plots to create papers. Make is called a build tool - it builds data files, plots, papers, programs or libraries. It can also update existing files if desired. Make tracks the dependencies between the files it creates and the files used to create these. If one of the original files (e.g. a data file) is changed, then Make knows to recreate, or update, the files that depend upon this file (e.g. a plot). There are now many build tools available, all of which are based on the same concepts as Make.

Subject:
Computer Science
Information Science
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Adam Richie-Halford
Ana Costa Conrado
Andrew Boughton
Andrew Fraser
Andy Kleinhesselink
Andy Teucher
Anna Krystalli
Bill Mills
Brandon Curtis
David E. Bernholdt
Deborah Gertrude Digges
François Michonneau
Gerard Capes
Greg Wilson
Jake Lever
Jason Sherman
John Blischak
Jonah Duckles
Juan F Fung
Kate Hertweck
Lex Nederbragt
Luiz Irber
Matthew Thomas
Michael Culshaw-Maurer
Mike Jackson
Pete Bachant
Piotr Banaszkiewicz
Radovan Bast
Raniere Silva
Rémi Emonet
Samuel Lelièvre
Satya Mishra
Trevor Bekolay
Date Added:
03/20/2017
Basic stochastic simulation: Master equation
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CC BY-SA
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In the master-equation formalism, a set of differential equations describe the time-evolution of the probability distribution of an ensemble of systems. This can be used, for example, to describe the varied mRNA copy numbers found in individual cells in a population.

Subject:
Life Science
Mathematics
Chemistry
Physics
Material Type:
Lecture Notes
Provider:
Look At Physics
Provider Set:
A Mathematical Way to Think About Biology
Author:
David Liao
Date Added:
10/08/2012
Basic stochastic simulation: Stochastic simulation algorithm
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CC BY-SA
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The stochastic simulation algorithm (SSA, Kinetic Monte Carlo, Gillespie algorithm) produces an example trajectory for a particular member of a probabilistic ensemble by looping over the following steps. The current state of the system is used to determine the likelihood of each possible chemical reaction in relative comparison to the likelihoods for the other possible reactions, as well as to determine when the next reaction is expected. Pseudo-random numbers are drawn to "roll the dice" to determine exactly when the next reaction will proceed, and which kind of reaction it will happen to be.

Subject:
Life Science
Mathematics
Chemistry
Physics
Material Type:
Lecture Notes
Provider:
Look At Physics
Provider Set:
A Mathematical Way to Think About Biology
Author:
David Liao
Date Added:
10/08/2012
Best Practices for Biomedical Research Data Management
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CC BY
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Companion Site for Harvard Medical School Canvas Network MOOC Best Practices for Biomedical Research Data Management. This Open Science Framework project site includes all the materials contained in the Canvas course including: readings and resources; slide presentations; video lectures; activity outlines; research case studies and questions; and quiz questions with answer guide.

Subject:
Health, Medicine and Nursing
Information Science
Measurement and Data
Material Type:
Full Course
Author:
Elaine Martin
Julie Goldman
Date Added:
03/01/2021
Best Practices for Biomedical Research Data Management - Canvas Network
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CC BY-NC-SA
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Biomedical research today is not only rigorous, innovative and insightful, it also has to be organized and reproducible. With more capacity to create and store data, there is the challenge of making data discoverable, understandable, and reusable. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research.

In order to meet to these requirements and evolving trends, researchers and information professionals will need the data management and curation knowledge and skills to support the access, reuse and preservation of data.

This course is designed to address present and future data management needs.

Subject:
Health, Medicine and Nursing
Information Science
Measurement and Data
Material Type:
Full Course
Provider:
Harvard University
Author:
Elaine Martin
Julie Goldman
Date Added:
01/05/2018