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Archiving for the Future: Simple Steps for Archiving Language Documentation Collections
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CC BY-SA
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Overview: Archiving for the Future is a free training course designed to teach language documenters, activists, and researchers how to organize, arrange, and archive language documentation, revitalization, and maintenance materials and metadata in a digital repository or language archive. Then entire course can be completed in approximately 3-5 hours.

This course was developed by the staff of the Archive of the Indigenous Languages of Latin America at the University of Texas at Austin in consultation with representatives of various DELAMAN (https://www.delaman.org/) archives and other digital data repositories in the United States, the United Kingdom, the European Union, Australia, and Cameroon.

The course material is based upon work supported by the National Science Foundation under Grant No. BCS-1653380 (September 1, 2016 to August 31, 2020). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Subject:
Digital Information Technology
Information Science
Language, Philosophy, and Culture
Anthropology
Linguistics
Material Type:
Full Course
Interactive
Author:
Alicia Niwagaba
Elena Pojman
Ryan Sullivant
Susan Smythe Kung
Date Added:
11/05/2020
Artificial Intelligence, Fall 2010
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems, understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering, and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

Subject:
Computer Science
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Winston, Patrick Henry
Date Added:
01/01/2010
Automata, Computability, and Complexity, Spring 2011
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This course provides a challenging introduction to some of the central ideas of theoretical computer science. Beginning in antiquity, the course will progress through finite automata, circuits and decision trees, Turing machines and computability, efficient algorithms and reducibility, the P versus NP problem, NP-completeness, the power of randomness, cryptography and one-way functions, computational learning theory, and quantum computing. It examines the classes of problems that can and cannot be solved by various kinds of machines. It tries to explain the key differences between computational models that affect their power.

Subject:
Computer Science
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Aaronson, Scott
Date Added:
01/01/2011
A Beginner's Guide to Information Literacy
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

A Beginner's Guide to Information Literacy covers the ACRL's Framework for Information Literacy frame by frame, using casual language and real world examples. Use this click-through text-based resource to understand the Framework as a whole or to work on understanding a particular Frame. Reflection questions are included for the casual learner or for anyone incorporating Information Literacy conversations into a classroom or workshop.

Subject:
Information Science
Material Type:
Reading
Author:
Emily Metcalf
Date Added:
07/26/2021
Building Information - Representation and Management: Fundamentals and Principles
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CC BY-NC-SA
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The book presents a coherent theory of building information, focusing on its representation and management in the digital era. It addresses issues such as the information explosion and the structure of analogue building representations to propose a parsimonious approach to the deployment and utilization of symbolic digital technologies like BIM.

Subject:
Information Science
Material Type:
Textbook
Provider:
Delft University of Technology
Author:
Alexander Koutamanis
Date Added:
08/13/2020
CIS 125D - Introduction to Databases
Unrestricted Use
CC BY
Rating
0.0 stars

This course is designed to use technology as a productivity tool within a business environment through the use of database software. You will use database software for creating tables, forms, and reports by manipulating data through various query tools.

Course Outcomes:
1. Produce a simple relational database that stores information.
2. Create queries that retrieve specified information.
3. Create forms for entering data into the database.
4. Produce informative reports with the information in the database

Subject:
Information Science
Material Type:
Full Course
Provider:
Linn-Benton Community College
Author:
Linn Benton Virtual College
Date Added:
06/03/2021
Communicating with Mobile Technology, Spring 2011
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

Students work in small collaborative design teams to propose, build, and document a semester-long project focused on mobile applications for cell phones. Additional assignments include creating several small mobile applications such as context-aware mobile media capture and games. Students document their work through a series of written and oral proposals, progress reports, and final reports. This course covers the basics of J2ME and explores mobile imaging and media creation, GPS location, user-centered design, usability testing, and prototyping. Java experience is recommended.

Subject:
Creative and Applied Arts
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Barrett, Edward C.
Bentley, Frank
Date Added:
01/01/2011
Communications and Information Policy, Spring 2006
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This course provides an introduction to the technology and policy context of public communications networks, through critical discussion of current issues in communications policy and their historical roots. The course focuses on underlying rationales and models for government involvement and the complex dynamics introduced by co-evolving technologies, industry structure, and public policy objectives. Cases drawn from cellular, fixed-line, and Internet applications include evolution of spectrum policy and current proposals for reform; the migration to broadband and implications for universal service policies; and property rights associated with digital content. The course lays a foundation for thesis research in this domain.

Subject:
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Field,Frank
Date Added:
01/01/2006
Computational Methods of Scientific Programming, Fall 2011
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages.

Subject:
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Chris Hill
Thomas Herring
Date Added:
01/01/2011
Computer Language Engineering, Spring 2010
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course analyzes issues associated with the implementation of higher-level programming languages. Topics covered include: fundamental concepts, functions, and structures of compilers, the interaction of theory and practice, and using tools in building software. The course includes a multi-person project on compiler design and implementation.

Subject:
Computer Science
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Amarasinghe, Saman
Rinard, Martin
Date Added:
01/01/2010
Convex Analysis and Optimization, Spring 2012
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualized and readily understood.

Subject:
Engineering
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Dimitri Bertsekas
Date Added:
01/01/2012
Copyright and Cultural Institutions: Guidelines for Digitization for U.S. Libraries, Archives, and Museums
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

This is a full length monograph aimed at helping libraries, archives, and museums navigate copyright law involving digitization. In the course of the book, though, the authors helpfully unpack many areas of copyright law including Section 108 of the Copyright Act, Fair Use, Licensing, and Risk Management. It is a great primer on copyright law and includes many helpful key points, flowcharts and timelines.

Subject:
Law
Information Science
Material Type:
Textbook
Provider:
Cornell University
Author:
Andrew T. Kenyon
Emily Hudson
Peter B. Hirtle
Date Added:
09/30/2021
Cyberpolitics in International Relations: Theory, Methods, Policy, Fall 2011
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course focuses on cyberspace and its implications for private and public, sub-national, national, and international actors and entities.

Subject:
Government/Political Science and Law
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
David D. Clark
Nazli Choucri
Stuart Madnick
Date Added:
01/01/2011
Data Management, Spring 2016
Conditional Remix & Share Permitted
CC BY-NC
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0.0 stars

The MIT Libraries Data Management Group hosts a set of workshops during IAP and throughout the year to assist MIT faculty and researchers with data set control, maintenance, and sharing. This resource contains a selection of presentations from those workshops. Topics include an introduction to data management, details on data sharing and storage, data management using the DMPTool, file organization, version control, and an overview of the open data requirements of various funding sources.

Subject:
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Date Added:
01/01/2016
Data Mining, Spring 2003
Conditional Remix & Share Permitted
CC BY-NC-SA
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Introduces students to a class of methods known as data mining that assists managers in recognizing patterns and making intelligent use of massive amounts of electronic data collected via the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Topics covered: subset selection in regression, collaborative filtering, tree-structured classification and regression, cluster analysis, and neural network methods. Examples of successful applications in areas such as credit ratings, fraud detection, database marketing, customer relationship management, and investments and logistics are covered. Hands-on experimentation with data-mining software is used. Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.

Subject:
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Patel, Nitin R. (Nitin Ratilal)
Date Added:
01/01/2003
Database Systems, Fall 2010
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.

Subject:
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Curino, Carlo
Madden, Samuel
Morris, Robert
Stonebraker, Michael
Date Added:
01/01/2010
Differentiating Between Open Access and Open Educational Resources
Unrestricted Use
CC BY
Rating
0.0 stars

Differentiating open access and open educational resource can be a challenge in some contexts. Excellent resources such as "How Open Is It?: A Guide for Evaluating the Openness of Journals" (CC BY) https://sparcopen.org/our-work/howopenisit created by SPARC, PLOS, and OASPA greatly aid us in understanding the relative openness of journals. However, visual resources to conceptually differentiate open educational resources (OER) from resources disseminated using an open access approach do not currently exist. Until now.

This one page introductory guide differentiates OER and OA materials on the basis of purpose (teaching vs. research), method of access (analog and digital), and in terms of the relative freedoms offered by different levels of Creative Commons licenses, the most common open license. Many other open licenses, including open software licenses also exist.

Subject:
Information Science
Material Type:
Diagram/Illustration
Provider:
Virginia Tech
Provider Set:
VTech Works
Author:
Walz Anita
Date Added:
06/03/2021
Dynamic Programming and Stochastic Control, Fall 2015
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and an infinite number of stages. This includes systems with finite or infinite state spaces, as well as perfectly or imperfectly observed systems. We will also discuss approximation methods for problems involving large state spaces. Applications of dynamic programming in a variety of fields will be covered in recitations.

Subject:
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Dimitri Bertsekas
Date Added:
01/01/2011
ENGL 1113 Online Library Sessions – OpenOKState
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

This resource is used to provide library instruction for introductory undergraduate composition courses.

Subject:
Information Science
Material Type:
Activity/Lab
Assessment
Homework/Assignment
Module
Provider:
Oklahoma State University
Author:
Holly Luetkenhaus
Date Added:
06/03/2021