Curriculum

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This page is for discussions on the curriculum of Web Science degrees at various levels. If you would like to add a resource, please email Les Carr, lac@ecs.soton.ac.uk .

Contents

Proposed Curriculum Topics

A first draft of a list of topics that should be covered in a Web Science course was discussed at the Network For Web Science Workshop on Web Science Curriculum in September 2008. It is listed in detail on the curriculum topics page.

  • History of the Web
  • Building the Web
  • The Web in Society
  • Operationalising Web Science for a World of International Commerce
  • Analysing the Web


Existing Web Science M.Sc. Programs

  1. Aristotle University of Thessaloniki, Department of Mathematics, Master Program in Web Science funded by Municipality of Veria and Cyta Telecommunications

The Master degree in Web science is based on the study of Web assessment, mathematical modeling and operation combined with business applications and societal transformations in the knowledge society. Courses for the current academic year are organized as follows:

Winter semester

Web history, epistemology and didactics. Research methodology. Research practice in the Web. Conceptual framework for Web Models. Web in society: Collective intelligence, Social Systems theory, Social structures & processes, Groups, identity, globalization, Social capital, power inequality, Virtual communities & politics. Privacy & trust in the Web. Web & the Law. Web & Linguistics. Web, Life Sciences, Evolution. Web and Psychology – Psychiatry. Web Governance.

Basic Internet Protocols. Basic Web technologies (http, html,URI). XML-based languages. Client-side Web Programming (client-side Javascript). Server-side Web Programming (Java Servlets, PHP). Asynchronous client-server model. Web Information Retrieval algorithms & Search engines Technologies. Web 2.0 Technologies and Applications. Advanced Internet Protocols and applications (Multicasting Technologies). Multimedia Content Distribution Protocols over IP. Mobile Web Technologies - Social networking.

Graphs & Combinatorics. Graph Τopology. Random Graphs. Small Worlds. Scale-free Graphs. Information, Entropy, Probability Statistics. Information and Networks. Social networks.

Information, Entropy, Probability Statistics. Information Sources. Channels. Coding. Graphs & Combinatorics. Graph Τopology. Random Graphs. Small Worlds. Scale-free Graphs. Information and Networks.

Spring semester

Web economics. Games & the Web. Web business models. Web business cases. Project management. Project graphs. Project management in the web. Case studies. Macroeconomic issues in the Knowledge Society: Commons, Social welfare. Macroeconomic issues in the Knowledge Society: developing world (W3F), local development. Economics of Security. Policy and Economics of the Web.

Logic & programming in the Web. Ontology & Semantic processing. Semantic Web languages. Linked data. Semantic Web applications: FOAF, SWiki. Security Procedures. Content Creation and Management. Distributed processes: Cloud computing, P2P. Ambient Intelligence, Sensor Nets. Future Internet, Internet of Things.

Network Sampling. Network inference. Decisions and Games in Networks. Time series from Networks. Search & Data mining. Web Modelling and Stochastic Processes on Networks.

Web Modeling. Web Statistics. Stochastic Processes on Networks. Web Traffic. Markov Networks. Diffusion on Networks. Semi-Markov Processes and Reward. Percolation Processes. Web Evolution.

Existing Web Science Courses

  1. Rensselaer Institute. Jim Hendler. Web Technology oriented. HTTP, URI, Crawling, Social Networks. Last taught Fall 2007. http://www.cs.rpi.edu/academics/courses/spring08/websci/
  2. University of Southampton. Les Carr and Catherine Pope. Masters in Web Science http://www.ecs.soton.ac.uk/admissions/pg/msc/1011/web_science.php
  3. Technical University of Graz. Markus Strohmaier, Klaus Tochtermann. http://kmi.tugraz.at/staff/markus/courses/SS2009/707.000_web-science/
    1. The Small World Problem
    2. Network Theory and Terminology
    3. Social Network Analysis
    4. Affiliation Networks
    5. Network Evolution and Processes
    6. Link Analysis and Search
    7. Webtechnologies I
    8. Metadata, Tagging and Folksonomies
    9. Web Mining and Information Retrieval I (lecture in German)
    10. User Intentions and Intentional Structures on the Web
    11. User Intentions and Intentional Structures on the Web II
    12. Webtechnologies II
  4. Oxford Internet Institute Summer School on Web Science (2008). http://students.oii.ox.ac.uk/sdp:sdp2008:readings
    1. Essential background reading
    2. Towards Web Science: the Past, Present and Future of the Web
    3. Civic Technologies and the Future of the Internet
    4. Information Accountability: Rethinking technical, legal and social privacy protection strategies for the Web
    5. Optional Methods Class - Ethnographies of the Internet
    6. Dependency Tracking in Everyday Computation (for a more detailed overview see the top paper linked below)
    7. Trust in the Internet as an Experience Technology
    8. Ontologies and the Semantic Web
    9. Engineering privacy-friendly e-government
    10. Optional Methods Class - Webometrics: Large-scale analysis and the use of ready made tools for gathering data
    11. Companions: persistent agents as internet interfaces
    12. Government on the Web
    13. Interacting in Virtual Environments
    14. Distributed Problem-Solving Networks
    15. Open Access: the Discipline of Public Knowledge
    16. The Historical Origins of ‘Open Science’ and Why it Matters Today
    17. Trust on the Web
    18. The Future of Semantics on the Web
    19. Digital Inclusion and Public Policy
    20. Optional Methods Class - Experimental Methods for Studying Online Behaviour
    21. The Development of Web Science in China
    22. Value creation mechanisms in Web environments
  5. Universiy of Cincinnati. Internet Studies and Web Algorithms (20-CS-728, Spring 2008). Dr. Fred Annexstein. http://www.cs.uc.edu/~annexste/Courses/cs728-2008/syl.htm
    1. Network models, social networks, small-world and random models
    2. P2P, overlay networks and distributed file sharing
    3. Load balancing and scheduling
    4. Web caching and content delivery, DHTs
    5. Multicasting in IP and overlay networks
    6. Network routing and reliability
    7. Network monitoring, visualization, characterization, and analysis
    8. Search engines, web-crawling, web-indexing, semantic web
    9. Web streaming, facility location
    10. Clustering and compression algorithms
  6. Massachusetts Institute of Technology. Ethics and Law on the Electronic Frontier Hal Abelson & Daniel Weitzner http://web.mit.edu/~6.805
  7. Old Dominion University. Technologies of Google Seminar (CS791/891) Michael Nelson. http://www.cs.odu.edu/~mln/teaching/cs791-s07
  8. Rensselaer Polytechnic Institute. Deborah McGuinness and Peter Fox. Semantic eScience. Using semantic technologies and web science infrastructure to do next generation potentially multi-disciplinary distributed science. Last taught Fall 2008. http://tw.rpi.edu/wiki/Semantic_e-Science
  9. RWTH Aachen University. Ralf Klamma, Matthias Jarke. http://dbis.rwth-aachen.de/lehrstuhl/lehre/WebSc08/
    1. Social Network Analysis
    2. Web mining
    3. Web archiving
    4. Web 2.0 and Social Software
    5. Web communities and mediabases
    6. Computing paradigms and World Wide Web
    7. Service science and Web application development
    8. Trends and future evolution
  10. Yanbian University of Science & Technology in China, Seokchan (Channy Yun), Web Engineering - MVC based web development process and Open APIs, http://yust.wikispaces.com
  11. Jeju National University in South Korea, Seokchan (Channy Yun), Web Engineering - MVC based web development process and Open APIs, http://code.google.com/p/web-engineering-class/
  12. Indiana University. Semantic Web (XML, RDF, OWL, Jena, SPARQL, Web2.0, Web Services). Ying Ding. http://info.slis.indiana.edu/~dingying/S636Fall2008.html
  13. University of Bristol. Kirsten Cater and Dave Cliff. Algorithmic and Economic Aspects of the Internet. http://www.cs.bris.ac.uk/Teaching/Resources/COMSM2006/
    1. The Big Picture: Carr's Big Switch, Perez's Technology Surges.
    2. Who wants to be a billionaire? Success stories from web businesses.
    3. Market-based systems.
    4. Networks & Graph Theory
    5. Social Networks
    6. Cloud Computing
    7. Visualization and Statistical Analysis
    8. Peer to Peer Networks
    9. Virtual Economies and Online Games
    10. Attack and Defense on Technology Networks
    11. Tales from the City: web science in the global financial markets
    12. Complexity in Organisations: Growth, Scale, Failure, & Resilience
    13. Current Research Frontiers
  14. University of Edinburgh, Institute for Science, Technology and Innovation, James Stewart - Internet and Society Primary social science UG and PG (https://www.wiki.ed.ac.uk/display/IandS/Internet+and+Society+Home)
    1. Technology and Society
    2. Information Society
    3. Social Network Systems
    4. The_Internet
    5. Digital_Divide?
    6. Community and Identity
    7. Mobile Life
    8. Politics and Democracy
    9. Privacy and Surveillance
    10. Research_Methods - group project
    11. Governing the Net
  15. University of Edinburgh, Institute for Science, Technology and Innovation, James Stewart + guest Lecturers, Social Shaping of Information and Communication Technologies, multidisciplinary PG course in technology studies (https://www.wiki.ed.ac.uk/display/SSICT/)
  16. University of Koblenz, Sergej Sizov at ISWeb - Information Systems & Semantic Web : Special Course on Web Science (Master/Diploma level) : http://isweb.uni-koblenz.de/Teaching/ws0910/special-course-on-web-science?set_language=en
    1. Modeling and analysis of user behaviour and access patterns in Social Web
    2. Collaborative information management
    3. Analysis of social networks and folksonomy mining; dynamics and evolution patterns of online communities
    4. thematically focused search, trend analysis, information integration for Linked Open Data
    5. Scalable stream-oriented data analysis in the Social Web
  17. University of Erlangen-Nürnberg, Kathrin Möslein, Dominik Böhler - Innovation Technology II: Web Science: http://wi1.uni-erlangen.de/teaching/ws0910/innovation-technology-ii-master
    1. Networks and Decentralized Information Systems
    2. Semantic Web
    3. Analysing the Web
    4. Social Aspects
    5. Future Directions of the Web
    6. Open Collaborative Work

Web Science Courses in Design Phase

  1. [Universitat Oberta de Catalunya]. Daniel Riera i Terrén. WEB SCIENCE on-line 6 ECTS (150 hours) elective subject for Computer Science/Engineering students. General aspects of Web Science: Introduction and foundations.
    1. What is Web Science? (0.2 ECTS)
    2. The Science of the Web (1 ECTS)
    3. The Engineering and Technology behind the Web (1 ECTS)
    4. The Analysis of the Web (0.8 ECTS)
    5. Web social issues (1 ECTS)
    6. E-learning (1 ECTS)
    7. Laws and Governance of the Web (1 ECTS)
  2. [Universitat Oberta de Catalunya]. Daniel Riera i Terrén. WEB SCIENCE on-line 30 ECTS (750 hours) post-graduate program. For those students coming from fields like Computer Science/Engineering, Laws, Psychology, Mathematics, Economics, etc. (multidisciplinary) Deepening in 3 to 5 aspects of Web Science with different views depending of the student's background and interests.
    1. The Science of the Web (5 ECTS subject)
    2. The Engineering and Technology behind the Web (5 ECTS subject)
    3. The Analysis of the Web (5 ECTS subject)
    4. Web social issues and e-learning (5 ECTS subject)
    5. Laws and Governance of the Web (5 ECTS subject)
    6. Final project (5 ECTS)
  3. [Universitat Oberta de Catalunya]. Daniel Riera i Terrén. WEB SCIENCE on-line 60 ECTS (1500 hours) master program. For those students coming from fields like Computer Science/Engineering, Laws, Psychology, Mathematics, Economics, etc. (multidisciplinary) After deepening in 3 to 5 aspects of Web Science students select an itinerary for specialisation. Each itinerary includes 18 ECTS (3 subjects) and a final project (12 ECTS). Possible itineraries:
    1. Science and Technology behind the Web (18 ECTS - 3 subjects)
    2. Social issues and e-learning (18 ECTS - 3 subjects)
    3. Laws and Governance of the Web (5 ECTS subject)
    4. Final project (12 ECTS)

Resources

  1. Towards a Science of the Web: the Power of Networks. Wendy Hall. http://mediaplayer.group.cam.ac.uk/component/option,com_mediadb/task,view/idstr,CU-Personnel-2007-WISETI/Itemid,99999999
  2. Introduction to Web Science. Video of a lecture by Nigel Shadbolt.
  3. Web Science Lectures at Georgia Tech. http://webscience.cc.gatech.edu/lecture-series
  4. ESWC2008 Panel Does the Semantic Web Need Web Science. Wendy Hall moderator. http://videolectures.net/eswc08_hall_dsw/
  5. Web Science Research Initiative Curriculum Workshop Report. http://webscience.org/filemanager/active?fid=42
  6. What is the Future of the Web? A presentation by Tim Berners-Lee followed by a panel discussion with Berners-Lee, Hall, Shadbolt, Spivak, moderated by Hender and McGuinness. Links to ReadWriteWeb coverage. http://tw.rpi.edu/launch/
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