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Survey and Analysis of Courses on the Subject of Information Retrieval and Web Search

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2012 ASEE Annual Conference & Exposition


San Antonio, Texas

Publication Date

June 10, 2012

Start Date

June 10, 2012

End Date

June 13, 2012



Conference Session

IT-based Instructional Technologies

Tagged Division

Computing & Information Technology

Page Count


Page Numbers

25.1216.1 - 25.1216.14



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Paper Authors


Xiannong Meng Bucknell University

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Xiannong Meng is a professor of computer science in the Department of Computer Science at Bucknell University in Lewisburg, Penn., USA. His research interests include distributed computing, data mining, intelligent web search, operating systems, and computer networks. He received his Ph.D. in computer science from Worcester Polytechnic Institute in Worcester, Mass., USA.

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Song Xing California State University, Los Angeles

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Song Xing received his B.S. and M.S. degrees in electrical engineering from Southeast University, China, in 1985 and 1990, respectively, and his Ph.D. degree in electrical and computer engineering from George Mason University, Va., in 2003. From 1985 to 1995, he was a lecturer in the Radio Engineering Department at Southeast University, China. He was also a researcher at the National Mobile Communications Research Laboratory, China, from 1990 to 1995. He was a Visiting Researcher in the Electrical and Computer Engineering departments at the University of Michigan, Dearborn, from Feb. 1995 to April 1995 and at Boston University from May 1995 to Aug. 1996, respectively. From August 1997 to May 2003, he was an instructor with the Electrical and Computer Engineering Department and a Teaching/Research assistant in the Electrical and Computer Engineering, Computer Science, and Information Systems departments at George Mason University. In 2003, Xing joined California State University, Los Angeles, where he is currently an Associate Professor in the Information Systems Department.

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Wang Wei Southeast University

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Wang Wei is a CCF member and Associate Professor in the School of Computer Science and Engineering. Born in the city of ChangChun, China, Wei received a M.S. in Southeast University (SEU) in 2011. Wei worked at Southeast University since 1991, and beginning in 2011, worked at the School of Computer Science and Engineering, SEU.

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Survey and Analysis of Courses on the Subject of Information Retrieval and Web Search AbstractIn this paper, we present the result of our survey and analysis of courses on the subject ofinformation retrieval and web search offered by colleges and universities in the U.S.A. Wecollected the information available on the web from about 15 colleges and universities. Weconcentrate on the goals of the course, the target audience, pre-requisites, main contents covered,textbooks used, and the student projects (both programming assignments and research papers).Most courses are offered either as upper level undergraduate through entry level graduatecomputer science and computer engineering courses or as courses from the information scienceand linguistics science. These courses concentrate on the technical aspects of informationretrieval. For example, the computer science courses mostly deal with information processingand search over the web while a linguistic or information science course may discuss more thelanguage aspect and information science aspect. There is also a segment of courses designed forgeneral audience who are the end users of information retrieval systems. These courses discussthe user interface, human factors, and social impact of technologies such as web search.We believe the information presented in the paper will help design, implementation, or revisionof courses on the subject of information retrieval with various target audience groups in mind,especially for students at the undergraduate level.

Meng, X., & Xing, S., & Wei, W. (2012, June), Survey and Analysis of Courses on the Subject of Information Retrieval and Web Search Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. 10.18260/1-2--21973

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