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Computational Cognitive Science, Fall 2004
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This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to human learners, and what kinds of innate knowledge (if any) must they have?

Subject:
Computer Science
Information Technology
Psychology
Social and Behavioral Sciences
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Tenenbaum, Joshua
Date Added:
01/01/2004
Computational Design I: Theory and Applications, Fall 2005
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CC BY-NC-SA
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Introduces design as a computational enterprise in which rules are developed to compose and describe architectural and other designs. The class covers topics such as shapes, shape arithmetic, symmetry, spatial relations, shape computations, and shape grammars. It focuses on the application of shape grammars in creative design, and teaches shape grammar fundamentals through in-class, hands-on exercises with abstract shape grammars. The class discusses issues related to practical applications of shape grammars.

Subject:
Computer Science
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Knight, Terry W.
Date Added:
01/01/2005
Computational Evolutionary Biology, Fall 2005
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CC BY-NC-SA
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Why has it been easier to develop a vaccine to eliminate polio than to control influenza or AIDS? Has there been natural selection for a 'language gene'? Why are there no animals with wheels? When does 'maximizing fitness' lead to evolutionary extinction? How are sex and parasites related? Why don't snakes eat grass? Why don't we have eyes in the back of our heads? How does modern genomics illustrate and challenge the field? This course analyzes evolution from a computational, modeling, and engineering perspective. The course has extensive hands-on laboratory exercises in model-building and analyzing evolutionary data.

Subject:
Biology
Computer Science
Information Technology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Berwick, Robert
Date Added:
01/01/2005
Computational Functional Genomics, Spring 2005
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CC BY-NC-SA
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Study and discussion of computational approaches and algorithms for contemporary problems in functional genomics. Topics include DNA chip design, experimental data normalization, expression data representation standards, proteomics, gene clustering, self-organizing maps, Boolean networks, statistical graph models, Bayesian network models, continuous dynamic models, statistical metrics for model validation, model elaboration, experiment planning, and the computational complexity of functional genomics problems.

Subject:
Biology
Computer Science
Information Technology
Life Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Gifford, David
Jaakkola, Tommi Sakari
Date Added:
01/01/2005
Computational Methods of Scientific Programming, Fall 2011
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CC BY-NC-SA
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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
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Chris Hill
Thomas Herring
Date Added:
01/01/2011
Computational Models of Discourse, Spring 2004
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CC BY-NC-SA
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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.

Subject:
Computer Science
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Regina Barzilay
Date Added:
01/01/2004
Computer Graphics, Fall 2012
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Introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience required. 6.837 offers an introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience is required.

Subject:
Computer Science
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Durand, Fredo
Wojciech Matusik
Date Added:
01/01/2012
Computer Graphics and Computer Animation: A Retrospective Overview
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CC BY-NC-ND
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This book was developed in an attempt to maintain in one location the information and references that point to the many important historical developments of the short life of the computer graphics world as we know it.

Subject:
Computer Science
Information Technology
Material Type:
Textbook
Provider:
The Ohio State University
Provider Set:
Pressbooks
Date Added:
08/13/2020
Computer Language Engineering, Spring 2010
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CC BY-NC-SA
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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
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Amarasinghe, Saman
Rinard, Martin
Date Added:
01/01/2010
Computer Networks: A Systems Approach
Unrestricted Use
CC BY
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Suppose you want to build a computer network, one that has the potential to grow to global proportions and to support applications as diverse as teleconferencing, video on demand, electronic commerce, distributed computing, and digital libraries. What available technologies would serve as the underlying building blocks, and what kind of software architecture would you design to integrate these building blocks into an effective communication service? Answering this question is the overriding goal of this book—to describe the available building materials and then to show how they can be used to construct a network from the ground up.

Subject:
Computer Science
Information Technology
Material Type:
Textbook
Author:
Bruce Davie
Larry Peterson
Date Added:
08/13/2020
Computer Networks, Fall 2002
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CC BY-NC-SA
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Topics on the engineering and analysis of network protocols and architecture, including: architectural principles for designing heterogeneous networks; congestion control; unicast and multicast routing; wireless and mobile networking; network quality of service; router design; network security; streaming and multicast applications; naming; content distribution; and peer-to-peer networking. Readings from original research papers, industry white papers, and Internet RFCs. Semester-long project and paper.

Subject:
Architecture and Design
Computer Science
Creative and Applied Arts
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Balakrishnan, Hari
Date Added:
01/01/2002
Computer Science I - Version 1.3.7
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CC BY-SA
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This textbook covers the traditional introductory Computer Science I topics but takes a unique approach. Topics are covered in a language-agnostic manner in the first part with supplemental parts that cover the same concepts in a specific language. The current version covers C, Java, and PHP. This textbook as been used in several Computer Science I sections over multiple years at the University of Nebraska-Lincoln.

Subject:
Computer Science
Information Technology
Material Type:
Textbook
Author:
Chris Bourke
Date Added:
02/14/2022
Computer System Architecture, Fall 2005
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CC BY-NC-SA
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Emphasizes the relationship among technology, hardware organization, and programming systems in the evolution of computer architecture. Pipelined, out-of-order, and speculative execution. Superscaler, VLIW, vector, and multithreaded processors. Addressing structures and virtual memory, and exception handling. I/O and memory systems. Parallel computers; message passing and shared memory systems. Memory models, synchronization, and cache coherence protocols. Vector supercomputers. Assumes an undergraduate knowledge of computer systems.

Subject:
Computer Science
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Arvind, V.
Date Added:
01/01/2005
Computer Vision
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CC BY-NC-ND
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This lesson centers around the How AI Works: Computer Vision video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Students learn how computer vision works. They first look at optical illusions to identify the features of the drawing that their eyes noticed. Students watch a video explaining computer vision and how a computer "sees". They design an algorithm that uses a network to decide what number the seven segment display is displaying. Finally, students test their algorithm.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Subject:
Computer Science
Information Technology
Mathematics
Statistics and Probability
Material Type:
Lesson Plan
Provider:
Code.org
Provider Set:
How AI Works
Date Added:
05/23/2024
Computing for Biomedical Scientists, Fall 2002
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Introduces abstraction as an important mechanism for problem decomposition and solution formulation in the biomedical domain, and examines computer representation, storage, retrieval, and manipulation of biomedical data. Examines effect of programming paradigm choice on problem-solving approaches, introduces data structures and algorithms. Presents knowledge representation schemes for capturing biomedical domain complexity. Teaches principles of data modeling for efficient storage and retrieval. The final project involves building a medical information system that encompasses the different concepts taught in the subject.

Subject:
Computer Science
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Boxwala, Aziz A.
Ogunyemi, Omolola
Date Added:
01/01/2002
Conversational Computer Systems, Fall 2008
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" This class explores interaction with mobile computing systems and telephones by voice, including speech synthesis, recognition, digital recording, and browsing recorded speech. Emphasis on human interface design issues and interaction techniques appropriate for cognitive requirements of speech. Topics include human speech production and perception, speech recognition and text-to-speech algorithms, telephone networks, and spatial and time-compressed listening. Extensive reading from current research literature."

Subject:
Computer Science
Information Technology
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Schmandt, Christopher
Date Added:
01/01/2008
Converting decimal numbers to binary
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Learn a technique for converting decimal numbers into binary numbers using just pen, paper, and calculations. Works best for small numbers, since bigger numbers require increasingly more calculations. Created by Pamela Fox.

Subject:
Computer Science
Information Technology
Life Science
Physical Science
Material Type:
Lesson
Provider:
Khan Academy
Provider Set:
Code.org
Author:
Pamela Fox
Date Added:
08/10/2021
Convex Analysis and Optimization, Spring 2012
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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
Information Technology
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
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CC BY-NC-ND
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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:
Government/Political Science and Law
Information Science
Information Technology
Law
Material Type:
Textbook
Provider:
Cornell University
Author:
Andrew T. Kenyon
Emily Hudson
Peter B. Hirtle
Date Added:
09/30/2021