The Oxford Visual Geomery Groups Computer Vision Practicals is a collection of MATLAB-based self-contained hands-on lab experiences introducing fundamental concepts in visual recognition, including: extracting and matching local features to identify an object in two images regardless of variations in viewpoint, illumination, and other factors; quantising local features into visual words to index and search a large archive of images efficiently; representing images as statistics of local features for coarse image matching and its application to the recognition of object categories; learning image classifiers discriminatively, and in particular support vector machines; evaluating the performance of a retrieval system. The practicals are briefly described below. You can also review the requirements and installation instructions.

Short Description:
This book introduces students to Microsoft Windows, Word, Excel, PowerPoint and email management. The text covers basic concepts of creating word processing, spreadsheets, and presentation materials for the workplace.

Long Description:
This book introduces students to Microsoft Windows, Word, Excel, PowerPoint and email management. The text covers basic concepts of creating word processing, spreadsheets, and presentation materials for the workplace.

Word Count: 68829

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives.

In this ISS Science episode learn about the role of photography in space and also see how a photograph is made.

This course is the second half of the intensive survey of brain and behavioral studies for first-year graduate students in the Brain and Cognitive Sciences curriculum. Each module of this core course involves a series of overview lectures by leading researchers in the field. By offering a thorough introduction to the current state of the discipline while emphasizing critical thinking, the course aims to prepare students as cognitive scientists.
Topics include: perception, attention, working memory, recognition and recall, language, and other issues in cognitive science. Topics are covered from the neural, behavioral and computational perspectives.

Lecture #11 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Second of two modules facilitating a basic understanding of computing in planning and public management. Students develop problem-solving skills using computer-based tools for “what-if” analyses. Emphasis on spatial analysis using geographic information systems and database query tools.

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.

Lecture #2 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Key Concepts & Techniques". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

This course was developed and taught by Ben Marwick, Professor of Archaeology at University of Washington. It is a requirement for the UW Master of Science in Data Science, introduces students to the principles and tools for computational reproducibility in data science using R. Topics covered include acquiring, cleaning and manipulating data in a reproducible workflow using the tidyverse. Students will use literate programming tools, and explore best practices for organizing data analyses. Students will learn to write documents using R markdown, compile R markdown documents using knitr and related tools, and publish reproducible documents to various common formats. Students will learn strategies and tools for packaging research compendia, dependency management, and containerising projects to provide computational isolation.

Short Description:
This book introduces students to Microsoft Windows, Word, Excel, PowerPoint and email management. The text covers basic concepts of creating word processing, spreadsheets, and presentation materials for the workplace.

Long Description:
This book introduces students to Microsoft Windows, Word, Excel, PowerPoint and email management. The text covers basic concepts of creating word processing, spreadsheets, and presentation materials for the workplace.

Word Count: 42639

ISBN: 978-1-990641-46-6

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

An intensive nine day remote collaborative workshop involving MIT and Miyagi University in Japan. The objective is to develop a small housing project using shape computation as a design methodology. Students will use and test new interactive software for designing, sharing applications with overseas partners, presenting projects on an Internet workspace, and critiquing design proposals through the web and other advanced digital technologies. Students will be expected to do most of their work in class.

A comprehensive Life Sciences textbook for Grade 10. This resource includes an interactive online textbook which can be read on personal computers, tablets, and mobile phones. Downloadable textbook and Teachers' Guide are available in PDF format. Topics covered include: Biological drawings, diagrams, charts and tables, Organic and Inorganic Compounds, Cells and Molecules, Plant and Animal Life Systems and Ecospheres, History of Life on Earth

A brief history and introduction of Library and Information Science.

Reading List:
Bates, M. "The Invisible Substrate of Information Science." https://pages.gseis.ucla.edu/faculty/bates/substrate.html

Malik, H. "Relationship of Library Science with Information Science. Similarities and Differences." https://www.slideshare.net/Libcorpio/01-ls-vs-is

"Toronto's amazing science fiction library, the Merril Collection, has a new head librarian." http://boingboing.net/2017/08/07/only-a-mother.html

Alexander J.A.M. van Deursen, Jan A.G.M. van Dijk; Using the Internet: Skill related problems in users’ online behavior, Interacting with Computers, Volume 21, Issue 5-6, 1 December 2009, Pages 393–402, https://doi.org/10.1016/j.intcom.2009.06.005

"Why Page 2 of Google Search Results is the Best Place to Hide a Dead Body." https://digitalsynopsis.com/tools/google-serp-design/

Graham, R. "Long Overdue: Why public libraries are finally eliminating the late-return fine." http://www.slate.com/articles/arts/culturebox/2017/02/librarians_are_realizing_that_overdue_fines_undercut_libraries_missions.html

This material introduces Linux File System structures and demonstrates how to use commands to communicate with the operating system through a Terminal program. Basic program structures and system() function of Perl are discussed. A brief introduction to gene-sequencing terminology and file formats are given.

This material introduces the AWS console interface, describes how to create an instance on AWS with the VMI provided, connect to that machine instance using the SSH protocol. Once connected, it requires the students to write a script to enter the data folder, which includes gene-sequencing input files and print the first five line of each file remotely. The same exercise can be applied if the VMI is installed on a local machine using virtualization software (e.g. Oracle VirtualBox). In this case, the Terminal program of the VMI can be used to do the exercise.

This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing.
The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing.
This subject qualifies as an Artificial Intelligence and Applications concentration subject.

This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT.
The three modules comprise:
8.371.1x: Quantum states, noise and error correction  
8.371.2x: Efficient quantum computing—fault tolerance and algorithms  
8.371.3x: Quantum complexity theory and information theory
This course was organized as a three-part series on MITx by MIT’s Department of Physics and is now archived on the Open Learning Library, which is free to use. You have the option to sign up and enroll in each module if you want to track your progress, or you can view and use all the materials without enrolling.

"Computer Networking : Principles, Protocols and Practice" is an open-source ebook that explains the main principles of Computer Networking and the key protocols that are used on the Internet.
The first part describes the theoretical foundations of this domain as well and the main algorithms and protocols.
The ebook is intended to be used for an upper-level undergraduate networking course. The second part contains a detailed explanation of the main Internet protocols including HTTP, DNS, TCP, UDP, IPv6, BGP, RIP, OSPF, Ethernet and WiFi.
The last part contains exercises and practical labs to allow the students to test their knowledge.
The Computer Networking: Principles, Protocols and Practice textbook is one of the winners of the first Open Textbook challenge organised by the Saylor foundation in the US.