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| - | ====== CMSC5733 Social Computing ====== | ||
| - | [ [[:teaching:csci5733:discussions:2013|Discussion Forum]] | [[:teaching:csci5733:blogs:2013|Blogs]] ] | ||
| - | ==== Breaking News ==== | ||
| - | |||
| - | * <hi #ffff00>**September 2, 2013**.</hi> The new semester begins. | ||
| - | |||
| - | ==== Extra Credit Assignments ==== | ||
| - | |||
| - | ===== 20013-14 Term 1 ===== | ||
| - | |||
| - | |||
| - | | ^ Lecture I ^ | ||
| - | ^ Time | Monday, 7:00 pm - 10:00 pm | | ||
| - | ^ Venue | HKPC 1007 | | ||
| - | |||
| - | <html><font color="red"> <b>The Golden Rule of CSCI5733: </b></font></html> No member of the CSCI5733 community shall take unfair advantage of any other member of the CSCI5733 community. | ||
| - | |||
| - | ====== Course Description ====== | ||
| - | |||
| - | This course introduces fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviours on the Internet. The course topics include, but are not limited to: web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval, learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems, human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to web intelligence and social computing, etc. | ||
| - | |||
| - | ===== Learning Objectives ===== | ||
| - | |||
| - | ===== Learning Outcomes ===== | ||
| - | |||
| - | Students will be able to: | ||
| - | - provide an overview of recent developments in social computing; | ||
| - | - explain various theories and models in social computing; | ||
| - | - design and implement simple systems to process social data | ||
| - | |||
| - | ===== Learning Activities ===== | ||
| - | - Lectures | ||
| - | - Tutorials (hands-on) | ||
| - | - Web resources | ||
| - | - Videos | ||
| - | - Quizzes | ||
| - | - Examinations | ||
| - | - Project presentations | ||
| - | |||
| - | ===== Expectations ===== | ||
| - | * [[:teaching:student_and_faculty_expectations_on_teaching_and_learning|Expectations]] | ||
| - | |||
| - | ====== Personnel ====== | ||
| - | |||
| - | | ^ Lecturer ^ Tutor ^ Tutor ^ | ||
| - | ^ Name | [[:home|Irwin King]] | Baichuan Li | Yuanyuan Man | | ||
| - | ^ Email | king@cse.cuhk.edu.hk | bcli@cse.cuhk.edu.hk | sophiaqhsw@gmail.com | | ||
| - | ^ Office | Rm 908 | | | | ||
| - | ^ Telephone | 3943 8398 | | | | ||
| - | ^ Office Hour(s) | * M8, Monday 3:30 pm - 4:30 pm\\ \\ * T8, Tuesday 3:30 pm - 4:30 pm | | | | ||
| - | |||
| - | Note: This class will be taught in<html> <font color="red">English</font></html>. Homework assignments and examinations will be conducted in English. | ||
| - | |||
| - | ====== Syllabus ====== | ||
| - | The pdf files are created in Acrobat 6.0. Please obtain the correct version of the [[http://www.adobe.com/prodindex/acrobat/readstep.html#reader | Acrobat Reader]] from Adobe. | ||
| - | |||
| - | ^ Week ^ Date ^ Topics ^ Tutorials ^ Homework & Events ^ Resources ^ | ||
| - | | 1 | 2/9 | Introductions\\ \\ {{:teaching:csci5733:cmsc5733-01-introduction.pdf|Introduction.pdf}} | | | | | ||
| - | | 2 | 9/9 | | | | | | ||
| - | | 3 | 16/9 | | | | | | ||
| - | | 4 | 23/9 | | | | | | ||
| - | | 5 | 30/9 | | | | | | ||
| - | | 6 | 7/10 | | | | | | ||
| - | | 7 | 14/10 | Public Holiday | | | | | ||
| - | | 8 | 21/10 | | | | | | ||
| - | | 9 | 28/10 | | | | | | ||
| - | | 10 | 4/11 | | | | | | ||
| - | | 11 | 11/11 | | | | | | ||
| - | | 12 | 18/11 | | | | | | ||
| - | | 13 | 25/11 | | | | | | ||
| - | |||
| - | * Web 2.0 | ||
| - | * Ajax, CSS, | ||
| - | * Social Media | ||
| - | * blogs, microblogs, wikis, mashup, | ||
| - | |||
| - | ====== Class Project ====== | ||
| - | ===== Class Project Presentation Schedule ===== | ||
| - | * TBA | ||
| - | |||
| - | ===== Class Project Presentation Requirements===== | ||
| - | |||
| - | ====== Examination Matters ====== | ||
| - | |||
| - | |||
| - | ===== Examination Schedule ===== | ||
| - | | ^ Time ^ Venue ^ Notes ^ | ||
| - | ^ Midterm Examination\\ TBA | TBA | TBA | TBA | | ||
| - | ^ Midterm Examination\\ TBA | TBA | TBA | TBA | | ||
| - | ^ Final Examination | TBA | TBA | TBA | | ||
| - | |||
| - | |||
| - | * [[http://rgsntl.rgs.cuhk.edu.hk/rws_prd_life/main1.asp|CUHK Registration and Examination]] | ||
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| - | |||
| - | |||
| - | ===== Written Midterm Matters ===== | ||
| - | - The midterm will test your knowledge of the materials. | ||
| - | - Answer all questions using the answer booklet. There will be more available at the venue if needed. | ||
| - | - Write legibly. Anything we cannot decipher will be considered incorrect. | ||
| - | - One A4-sized cheat-sheet page. | ||
| - | |||
| - | ====== Grade Assessment Scheme ====== | ||
| - | ^ Homework\\ Assignments ^ Project Report ^ Project Presentation ^ Final Examination ^ | ||
| - | | TBA | TBA | TBA | TBA | | ||
| - | |||
| - | -Assignments (20%) | ||
| - | -Written assignments | ||
| - | -Optional quizzes | ||
| - | -Midterm Examination (30%) | ||
| - | - Project (50%) | ||
| - | - Report (30%) | ||
| - | - Presentations (20%) | ||
| - | -Extra Credit (There is no penalty for not doing the extra credit problems. Extra credit will only help you in borderline cases.) | ||
| - | |||
| - | ====== Required Background ====== | ||
| - | - Pre-requisites | ||
| - | -- CSC 1110 or 1130 or its equivalent. (Not for students who have taken CSC 2520). | ||
| - | ====== Reference Books ====== | ||
| - | |||
| - | |||
| - | ====== FAQ ====== | ||
| - | |||
| - | - **Q: What is departmental guideline for plagiarism?**\\ A: If a student is found plagiarizing, his/her case will be reported to the Department Discipline Committee. If the case is proven after deliberation, the student will automatically fail the course in which he/she committed plagiarism. The definition of plagiarism includes copying of the whole or parts of written assignments, programming exercises, reports, quiz papers, mid-term examinations. The penalty will apply to both the one who copies the work and the one whose work is being copied, unless the latter can prove his/her work has been copied unwittingly. Furthermore, inclusion of others' works or results without citation in assignments and reports is also regarded as plagiarism with similar penalty to the offender. A student caught plagiarizing during tests or examinations will be reported to the Faculty Office and appropriate disciplinary authorities for further action, in addition to failing the course. | ||
| - | |||
| - | ====== Resources ====== | ||
| - | |||
| - | -[[http://pajek.imfm.si/doku.php|Pajek, a network analysis and visualization program.]] | ||
| - | -[[http://vlado.fmf.uni-lj.si/pub/networks/data/default.htm|Package for Large Network Analysis]] | ||
| - | -[[http://www.analytictech.com/downloaduc6.htm|UCINET 6]] | ||
| - | -[[http://www.analytictech.com/Netdraw/netdraw.htm|Netdraw]] | ||
| - | -[[http://stat.gamma.rug.nl/stocnet/|StOCNET]] | ||
| - | |||
| - | ===== Social Networks-Theory Graph Theory ===== | ||
| - | * http://www.cs.purdue.edu/homes/neville/courses/aaai08-tutorial.html \\ | ||
| - | * http://cs.stanford.edu/people/jure/icml09networks/ \\ | ||
| - | * http://www.ofcom.org.uk/advice/media_literacy/medlitpub/medlitpubrss/socialnetworking/report.pdf \\ | ||
| - | |||
| - | ===== Graph Mining ===== | ||
| - | * http://www.cs.cmu.edu/~deepay/mywww/papers/csur06.pdf \\ | ||
| - | * http://cs.stanford.edu/people/jure/talks/www08tutorial/ \\ | ||
| - | * http://www.xifengyan.net/tutorial/KDD08_graph_partI.pdf \\ | ||
| - | * http://www.xifengyan.net/tutorial/KDD08_graph_partII.pdf | ||
| - | |||
| - | ===== Link Analysis===== | ||
| - | * http://analytics.ijs.si/events/Tutorial-TextMiningLinkAnalysis-KDD2007-SanJose-Aug2007/ \\ | ||
| - | * http://www.sigkdd.org/explorations/issues/7-2-2005-12/1-Getoor.pdf \\ | ||
| - | * http://www.ncjrs.gov/pdffiles1/nij/grants/219552.pdf \\ | ||
| - | * http://delab.csd.auth.gr/~dimitris/papers/ENVO07LARskm.pdf | ||
| - | |||
| - | ===== Learning to Rank===== | ||
| - | * http://www2009.org/pdf/T7A-LEARNING%20TO%20RANK%20TUTORIAL.pdf\\ | ||
| - | * http://radlinski.org/papers/LearningToRank_NESCAI08.pdf\\ | ||
| - | * http://www.aclweb.org/anthology/P/P09/P09-5005.pdf\\ | ||
| - | * http://www.cse.iitb.ac.in/~soumen/doc/www2007/TutorialSlides.pdf | ||
| - | |||
| - | ===== Recommender Systems===== | ||
| - | * http://en.wikipedia.org/wiki/Recommender_system | ||
| - | * http://www.deitel.com/ResourceCenters/Web20/RecommenderSystems/RecommenderSystemsTutorialsandWebcasts/tabid/1313/Default.aspx | ||
| - | * http://www.computer.org/portal/web/csdl/doi/10.1109/TKDE.2005.99 | ||
| - | * http://www.springerlink.com/content/n881136032u8k111/ | ||
| - | * http://www.csd.abdn.ac.uk/~jmasthof/Publications/WPRSIUI07.pdf | ||
| - | |||
| - | ===== Q & A ===== | ||
| - | * http://lml.bas.bg/ranlp2005/tutorials/magnini.ppt \\ | ||
| - | * http://tcc.itc.it/research/textec/topics/question-answering/Tut-Prager.ppt \\ | ||
| - | * http://en.wikipedia.org/wiki/Question_answering \\ | ||
| - | * http://trec.nist.gov/pubs/trec9/papers/webclopedia.pdf \\ | ||
| - | * http://domino.watson.ibm.com/library/CyberDig.nsf/papers/D12791EAA13BB952852575A1004A055C/$File/rc24789.pdf \\ | ||
| - | * http://www.umiacs.umd.edu/~jimmylin/publications/Lin_Katz_EACL2003_tutorial.pdf \\ | ||
| - | * http://answers.yahoo.com/ \\ | ||
| - | * http://zhidao.baidu.com/ \\ | ||
| - | * http://wenda.tianya.cn/wenda/ \\ | ||
| - | * http://hk.knowledge.yahoo.com/ \\ | ||
| - | |||
| - | ===== Human Computation/Social Games ===== | ||
| - | * http://www.gwap.com/gwap/ \\ | ||
| - | * http://www.cs.cmu.edu/~biglou/ \\ | ||
| - | |||
| - | ===== Opinion Mining/Sentiment Analysis ===== | ||
| - | * http://www.cs.uic.edu/~liub/FBS/opinion-mining-sentiment-analysis.pdf \\ | ||
| - | * http://www.cs.cornell.edu/home/llee/omsa/omsa-published.pdf \\ | ||
| - | * http://www.cs.cmu.edu/~wcohen/10-802/sentiment-sep-4.ppt \\ | ||
| - | |||
| - | ===== Visualization ===== | ||
| - | -[[http://manyeyes.alphaworks.ibm.com/manyeyes/|Many Eyes Visualization]] | ||
| - | |||
| - | ===== Programming ===== | ||
| - | -[[http://networkx.lanl.gov/|NetworkX, a Python package for complex networks]] | ||
| - | -[[http://www.wolfram.com/|Mathematica from Wolfram]] | ||
| - | -[[http://demonstrations.wolfram.com/|Wolfram Demonstrations]] | ||
| - | |||
| - | ===== Midterm Evaluation Sign-up Sheet ===== | ||
| - | |||
| - | ===== Final Project Presentation Sign-up Sheet ===== | ||
| - | |||
