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Portal is a directory of Computer Science pages at Wikiversity. This directory page provides links to Computer Science learning resources that have been developed by the various Wikiversity Computer Science content development projects. The main content development project is the School of Computer Science. This portal features exciting examples of Computer Science learning resources. Wikiversity participants who are interested in Computer Science are invited to create and participate in learning projects and learning resources and help organize them by developing this portal. We're just starting, but we already have some good materials. The Computer Science Portal serves to provide quick access to everything in the Computer Science category.

Computer Science is a branch of science that focuses on the theoretical and methodological implementation of computational based information processes and computer technologies in both hardware and software. Theoretical fields include such areas as information theory, database and information retrieval and programming language theory. Applied computer science features areas of study such as artificial intelligence, computer architecture, computer security and software engineering.

the educational Internet platform of the German Hasso Plattner Institute, Potsdam. Starting in September you will be able to take part in our worldwide social learning network based on interactive online courses covering different subjects in Information and Communications Technology (ICT). Enter a fascinating world of knowledge with our free open online courses. Meet other participants from around the world and familiarize yourself with fundamental and current topics in ICT, computer science and IT systems engineering.

"CTRL-Labs dedicates itself to answering the biggest questions in computing, neuroscience, and design so creators can dream. Our work to build a transformative brain-machine interface spans research and challenges at the intersection of computational neuroscience, statistics, machine learning, biophysics, hardware, and human-computer interaction."

Educational researchers at the Technical University of Munich (TUM) have found that schoolchildren can independently develop strategies for solving complex mathematical tasks, with weaker students proving just as capable as their stronger classmates. Researchers in mathematics education worked with approximately 1600 8th grade high-school students in various German states. Following an introduction to the general topic by their teachers, the school children were given a workbook of geometric tasks that they had to solve on paper and using a computer over four school periods. Calculating the surface area of Gran Canaria was one of the real-world, free-form assignments the students had to tackle. The workbook material included explanations and examples of various problem-solving approaches. The teachers took a back seat during the session but were on hand to answer questions from the children, who worked in pairs. After testing the students' skills before and after the session, the researchers recorded a significant improvement in their capabilities. The students learned to apply mathematics more effectively, the researchers said. The students were also able to call on these skills in a further test three months later. "We expected students who were weaker at math to benefit more from a greater degree of guidance through the module," said professor Kristina Reiss.  "But we didn't see a significant difference between these and stronger students." The researchers also found that there were also no differences between boys and girls. "We now know that students - also those who are weaker in math - have the skills to master even very complex subject matters at their own pace," said Reiss. Topics: Cognitive Science/Neuroscience

"I am a Neuroscientist working at the Centre for Integrative Neuroscience (CIN), University of Tübingen, Germany. In My Research I use a combination of 2-photon imaging, electrophysiology and computational modelling to unravel principles of synaptic and network computations in the vertebrate early visual system. Outside my regular work I am also co-founder of a not-for-profit organisation TReND in Africa, dedicated to foster Neuroscience Education and Research on the African continent. Moreover I am contributor to Open Labware, the design and building of open source laboratory equipment based on off-the-shelf electronics and simple mechanics as made possible by 3D printing"

Come work with us Interested in working with researchers from different disciplines within the Harvard, MIT and Broad community and an unique opportunity to participate in world-class research to make an impact on human health? Come work with us! We are looking for a computational biologists to handle data from a wide variety of experimental methods, focusing on next-gen sequencing technologies. Keep Reading...  SCDE is live The Stem Cell Discovery Engine (SCDE) is an integrated platform that allows users to consistently describe, share and compare cancer and tissue stem cell data. It is made up of an online database of curated experiments coupled to a customized instance of the Galaxy analysis engine with tools for gene list manipulation and molecular profile comparisons. The SCDE currently contains more than 50 stem cell-related experiments. Each has been manually curated and encoded using the ISA-Tab standard to ensure the quality of the data and its annotation. Keep Reading...  The Center for Health Bioinformatics at the Harvard School of Public Health provides consults to researchers for the management, integration and contextual analysis of biological high-throughput data. We are a member of the Center for Stem Cell Bioinformatics, the Environmental Statistics and Bioinformatics Core at the Harvard NIEHS Center for Environmental Health and the Genetics & Bioinformatics Consulting group for Harvard Catalyst and work closely with our colleagues in the Department of Biostatistics and the Program in Quantitative Genomics to act as a single point of contact for computational biology,

Wolfram|Alpha Pro gives you a whole new way to interact with Wolfram|Alpha-and immediate access to new, more personal, computational knowledge.

The Electrical Engineering and Computer Science Department is the largest department at MIT, preparing over 300 graduate and undergraduate students each year to become leaders in diverse career fields such as academia, biomedical technology, finance, consulting, law, nanotechnology and more.  MIT EECS consistently ranks top by the the U.S. News and World Reports and is known globally for its world class faculty creating the best possible education, which is based on their innovative and award winning research.

Graduates of MIT's electrical engineering and computer science department work in diverse industries and conduct research in a broad range of areas.

"The Natural Language Processing Group at Stanford University is a team of faculty, research scientists, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, machine translation, probabilistic parsing and tagging, biomedical information extraction, grammar induction, word sense disambiguation, automatic question answering, and text to 3D scene generation."

Center for Computer Research in Music and Acoustics

Mathematica is a computational software program used in scientific, engineering, and mathematical fields and other areas of technical computing. It was conceived by Stephen Wolfram and is developed by Wolfram Research of Champaign, Illinois.[2][3]

The Santa Fe Institute is a private, not-for-profit, independent research and education center founded in 1984, for multidisciplinary collaborations in the physical, biological, computational, and social sciences. Understanding of complex adaptive systems is critical to addressing key environmental, technological, biological, economic, and political challenges.

Numenta.org Platform for Intelligent Computing The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.

Full text of every article ever published by ACM and bibliographic citations from major publishers in computing.

"In many places internet can be slow, unreliable or even censored. Kiwix is an offline solution that allows you to access educational content like Wikipedia, the Wiktionary, TED talks and many others on any computer or smartphone - without the need for a live internet connection."

"The ArticuLab's mission is to study human interaction in social and cultural contexts as the input into computational systems that in turn help us to better understand human interaction, and to improve and support human capabilities in areas that really matter."

Ai Research is a leading artificial intelligence research project. At Ai, we're creating a new form of life. Our expanding web site is an essential part of the emerging global discussion about artificial intelligence. On this website, we showcase the state of the art in pattern-matching conversational machines, demonstrated by Alan, and in reinforcement learning algorithms, demonstrated by HAL. Use our forums, original papers, online labs, demos and links to explore what's happening both at Ai (the project) and in AI (the field).