Information Systems

Major: Information Systems
Degree Awarded: Master of Science in Information Systems (MSIS)
Calendar Type: Quarter
Total Credit Hours: 45.0
Co-op Option: Available for full-time on-campus master's-level students
Classification of Instructional Programs (CIP) code: 11.0401
Standard Occupational Classification (SOC) code: 11-3021

About the Program

The College of Computing & Informatics' Master of Science in Information Systems (MSIS) prepares students for both the technical and real-world aspects of creating and managing information systems. The program, which is offered both online and on campus, part-time and full-time, aims to develop professionals who are able to understand, participate in, develop, and lead information technology change.

The MSIS is an interdisciplinary program that prepares students with both the domain knowledge and practical competencies to compete in the ever-changing technical landscape of information system business requirements, software design and management, data-oriented informatics and user experience design. The program is designed for students with no prior background in information systems who would like an education in the latest innovative methods in data analysis, human-centered computing, and information systems, or those with experience in information systems development who wish to refresh and update their technical design and analysis skills. Courses integrate the business, organizational, information, and technical aspects of computer-based information systems, while offering the chance to develop expertise in three specialist areas:

1.  Software and systems development, such as organizational information system design, requirements analysis, software project management, modern systems development and implementation.

2.  Data analytics, information, and knowledge management, such as organizational data management, data mining, natural language processing, intelligent systems, and competitive intelligence.

3.  Human-centered computing, such as human-computer interaction, user-experience design, social computing, collaboration systems, and online community support.

A graduate co-op is available for this program. For more information, visit the Steinbright Career Development Center's website.

Additional Information

For more information about this program, visit the College of Computing & Informatics' MS in Information Systems web page.

Degree Requirements

Required Courses
INFO 532Software Development3.0
INFO 540Perspectives on Information Systems3.0
INFO 600Web Systems & Architecture3.0
INFO 605Introduction to Database Management3.0
INFO 608Human-Computer Interaction3.0
INFO 620Information Systems Analysis and Design3.0
INFO 627Requirements Engineering and Management3.0
INFO 638Software Project Management3.0
INFO 646Information Systems Management3.0
Distribution Requirements12.0
Select four of the following:
Computer Science Foundations
Programming Foundations
Advanced Programming Techniques
Principles of Cybersecurity
Object-Oriented Programming for Information Systems
Advanced Database Management
Analysis of Interactive Systems
Design of Interactive Systems
Content Representation
Information Retrieval Systems
Evaluation of Information Systems
Software Engineering Economics
Information Visualization
Data Mining
Healthcare Informatics
Intro to Web Programming
Introduction to Data Analytics
Information Forensics
Information Assurance
Managing Health Informatics Projects
Software Reliability and Testing
Software Engineering Process
Free Electives *6.0
Total Credits45.0
*

Courses in the distribution course set that students do not take to meet the distribution requirement may be taken as free electives. All other masters-level INFO courses may be taken as free electives. MSIS students may not take courses designated as doctoral-level courses.

Dual Degree Opportunities

Graduate students already enrolled in a master's degree program at Drexel have the opportunity, through the dual master's program to work simultaneously on two master's degrees and to receive both upon graduation. To be eligible, graduate students must be currently working on their first degree when requesting admission to the second. They must obtain approval from the graduate advisors of both programs and work out a plan of study encompassing coursework and/or research (thesis) credits for both degrees. Please contact your advisor for more information on program requirements as some CCI master's degree combinations may require additional pre-requisites.

The dual master's student must complete the Change of Curriculum and Status form and obtain approvals from both graduate advisors. Final approval is granted by the Graduate College. The student is then registered in both majors simultaneously. Upon graduation, the student must file two Application for Degree forms.

Dual MSIS and MSLIS Option

63.0 Quarter credits

About the Program

The dual master's degree program, consisting of a Master of Science in Library and Information Science (MSLIS) and a Master of Science in Information Systems (MSIS), combines the Library and Information Science program focus on selecting, organizing, managing and accessing information resources to meet user information needs with the MS in Information System program skills in creating and managing the databases, interfaces, and information systems that connect users with the information they are seeking.

Learning Objectives

Graduates of the dual program are prepared to assume leadership and management positions designing, developing, and delivering innovative technological solutions to information problems in a variety of contexts; evaluating information services and products; and managing organizations that facilitate access to recorded knowledge. Students who pursue this path greatly increase their ability to compete in today's cutting-edge information marketplace, where the importance of digitized information resources and the needs of organizations and companies to provide networked access to these resources via intranet gateways and knowledge management systems is steadily increasing. Their preparation encompasses the knowledge and abilities required to:

  • Explain the foundational principles, professional ethics and values, and social context within which various information professionals work.
  • Design and deliver library and information services and/or products using appropriate resources in libraries, archives and/or other information organizations.
  • Analyze the structure, description, and bibliographic control of literatures.
  • Develop appropriate information-seeking strategies to select information resources for given audiences.
  • Retrieve information in various formats and from various technologies/platforms.
  • Communicate knowledge and skills related to accessing, evaluating and using information, information resources and/or information technology.
  • Manage information organizations using appropriate strategies and approaches.
  • Use a human-centered approach to analyze information needs and design solutions to meet those needs.
  • Lead or contribute substantially to a team in developing information technology products and services.
  • Evaluate, compare, and select from alternative and emerging information technologies.
  • Communicate with technical and non-technical audiences about information technology concepts and stakeholder needs.
  • Contribute substantially to an information technology plan for an organization.
  • Explain information technology uses, benefits, and ethical and global issues for individuals and organizations.
Required Courses
INFO 530Foundations of Information Systems3.0
MS(LIS) Required Courses
INFO 515Introduction to Research in Information Organizations3.0
INFO 520Social Context of Information Professions3.0
INFO 522Information Access & Resources3.0
INFO 521Information Users and Services3.0
INFO 640Managing Information Organizations3.0
MSIS Required Courses
INFO 532Software Development3.0
INFO 600Web Systems & Architecture3.0
INFO 605Introduction to Database Management3.0
INFO 608Human-Computer Interaction3.0
INFO 620Information Systems Analysis and Design3.0
INFO 630Evaluation of Information Systems3.0
INFO 638Software Project Management3.0
INFO 646Information Systems Management3.0
Distribution Requirements
Completion of at least four of the following courses is required for the degree. Additional courses from this list may be taken as electives.12.0
Perspectives on Information Systems
Advanced Database Management
Applied Database Technologies
Analysis of Interactive Systems
Design of Interactive Systems
Knowledge Base Systems
XML and Databases
Social and Collaborative Computing
Content Representation
Information Retrieval Systems
Cognition and Information Retrieval
Requirements Engineering and Management
Information Visualization
Data Mining
Software Engineering Process I
Software Engineering Process II
Healthcare Informatics
Digital Libraries
Intro to Web Programming
Digital Library Technologies
Information Architecture
Information Forensics
Information Assurance
Managing Health Informatics Projects
Electronic Records Management
Issues in Informatics
Free Electives *9.0
Total Credits63.0
*

 Courses in the distribution course set that students do not take to meet the distribution requirement may be taken as free electives. All other master's level INFO courses may be taken as free electives. MS/MS(LIS) students may not take courses designated as doctoral level or courses INFO 861, INFO 863, or INFO 998.

 Facilities

Drexel University Libraries

Drexel University Libraries is a learning enterprise, advancing the University’s academic mission through serving as educators, supporting education and research, collaborating with researchers, and fostering intentional learning outside of the classroom. Drexel University Libraries engages with Drexel communities through four physical locations, including W. W. Hagerty Library, Hahnemann Library, Queen Lane Library and the Library Learning Terrace, as well as a vibrant online presence which sees, on average, over 8,000 visits per day. In the W.W. Hagerty Library location, College of Computing & Informatics students have access to private study rooms and nearly half a million books, periodicals, DVDs, videos and University Archives. All fields of inquiry are covered, including: library and information science, computer science, software engineering, health informatics, information systems, and computing technology. Resources are available online at library.drexel.edu or in-person at W. W. Hagerty Library.

The Libraries also make available laptop and desktop PC and Mac computers, printers and scanners, spaces for quiet work or group projects and designated 24/7 spaces. Librarians and library staff—including a liaison librarian for computing and informatics—are available for individual research consultations and to answer questions about materials or services.

iCommons

Located in Room 106 of the Rush Building, the College’s iCommons is an open lab and collaborative work environment for students. It features desktop computers, a wireless/laptop area, free black and white printing, more collaborative space for its students and a furnished common area. There is a fully equipped conference room for student use with a 42” display and videoconferencing capabilities. The iCommons provides technical support to students, faculty, and administrative staff. In addition, the staff provides audio-visual support for all presentation classrooms within the Rush Building. Use of the iCommons is reserved for all students taking CCI courses.

The computers for general use are Microsoft Windows and Macintosh OSX machines with appropriate applications which include the Microsoft Office suite, various database management systems, modeling tools, and statistical analysis software. Library related resources may be accessed at the iCommons and through the W.W. Hagerty Library. The College is a member of the Rational SEED Program which provides cutting-edge software development and project management software for usage in the iCommons and CCI classrooms. The College is also a member of the Microsoft Academic Alliance known also as “DreamSpark” that allows students free access to a wide array of Microsoft software titles and operating systems.

The iCommons, student labs, and classrooms have access to networked databases, print and file resources within the College, and the Internet via the University’s network. Email accounts, Internet and BannerWeb access are available through the Office of Information Resources and Technology.

Rush Building

The Rush Building houses classrooms, CCI administrative offices (academic advising, graduate admissions, faculty, etc.) and the iCommons computer lab (open to all CCI students). The building holds 6 classrooms equipped for audio-visual presentation. These rooms typically contain a networked PC, HD video player, ceiling mounted projectors, and other equipment for presentations and demonstrations. Four of these classrooms are fully equipped to function as laptop computing labs for networking, programming and database-related projects.

The Information Technology Laboratory, located in the Rush Building, consists of enterprise class information technology hardware that students would encounter in industry positions. The hardware includes 20 high powered workstations that are available to students and specialized networking lab simulation software. The hardware is networked and reconfigurable utilizing multiple virtual technologies as needed for the various classes the laboratory supports. In addition, a special system has been built into to the classroom to allow for conversion into a standard laptop computing lab utilizing motorized monitor lifts that allow the monitors and keyboards to recess into the desk.

University Crossings - Cyber Learning Center and Computer Lab

CCI also has classrooms, administrative office and faculty offices located in University Crossings, located at the corner of JFK Blvd. and Market Street. The building houses the Cyber Learning Center, a student computer lab, as well as several classrooms with video-conference enabled technology and media projection capabilities.

The Cyber Learning Center (CLC) provides consulting and other learning resources for students taking computer science classes. The CLC is staffed by graduate and undergraduate computer science students from the College of Computing & Informatics.

Both the CLC and UC Lab now serve as a central hub for small group work, student meetings, and TA assistance. The UC Lab is organized with desk space around the perimeter of the lab for individual or partner/pair-programmed student work, as well as with clusters of tables which can be connected as needed into pods to create workspaces for larger groups.

Research Laboratories

The College houses multiple research labs, led by CCI faculty, across Drexel’s main campus including: the Auerbach and Berger Families Cybersecurity Laboratory, Drexel Health and Risk Communication Lab, Socio-Technical Studies Group, Intelligent Information & Knowledge Computing Research Lab, Evidence-based Decision Making Lab, Applied Symbolic Computation Laboratory (ASYM), Geometric and Intelligent Computing Laboratory (GICL), High Performance Computing Laboratory (SPIRAL), Privacy, Security and Automation Laboratory (PSAL), Drexel Research on Play (RePlay) Laboratory, Software Engineering Research Group (SERG), Vision and Cognition Laboratory (VisCog) and the Vision and Graphics Laboratory. For more information on these laboratories, please visit the College’s research web page.

Alumni Garden

The Rush Building’s Alumni Garden provides additional collaborative space for students, faculty, professional staff and alumni. The Garden features wireless networking, tables with built-in power outlets, accessible covered patio and balconies and a bicycle rack. The Alumni Garden may be reserved for Drexel events.

3401 Market Street

3401 Market Street houses faculty offices and doctoral student workspaces. It also is home to College research groups such and University initiatives such as the Isaac L. Auerbach Cybersecurity Institute. The Institute’s Auerbach and Berger Families Cybersecurity Laboratory serves as University’s first training facility dedicated to identifying challenges and discovering solutions in the areas of cyber infrastructure protection and incident response.

Evaluations

The College of Computing & Informatics works continually to improve its degree programs. As part of this effort, the Information Systems degree is evaluated relative to the following Learning Objectives:

Graduates of the MS in Information Systems program are prepared to assume leadership and management positions designing, developing, and delivering innovative technological solutions to information problems in a variety of contexts. Their preparation encompasses the knowledge and abilities required to:

  • Use a human-centered approach to analyze information needs and design solutions to meet those needs.
  • Lead or contribute substantially to a team in developing information technology products and services.
  • Evaluate, compare, and select from alternative and emerging information technologies.
  • Communicate with technical and non-technical audiences about information technology concepts and stakeholder needs.
  • Contribute substantially to an information technology plan for an organization.
  • Explain information technology uses, benefits, and ethical and global issues for individuals and organizations.

Sample Plan of Study

Term 1Credits
INFO 532Software Development3.0
INFO 540Perspectives on Information Systems3.0
 Term Credits6.0
Term 2
INFO 600Web Systems & Architecture3.0
INFO 605Introduction to Database Management3.0
 Term Credits6.0
Term 3
INFO 608Human-Computer Interaction3.0
INFO 620Information Systems Analysis and Design3.0
 Term Credits6.0
Term 4
INFO 627Requirements Engineering and Management3.0
Distribution Course3.0
 Term Credits6.0
Term 5
INFO 638Software Project Management3.0
Distribution Course3.0
 Term Credits6.0
Term 6
INFO 646Information Systems Management3.0
Distribution Course3.0
 Term Credits6.0
Term 7
Distribution Course3.0
Free Elective3.0
 Term Credits6.0
Term 8
Free Elective3.0
 Term Credits3.0
Total Credit: 45.0

Computing & Informatics Faculty

Denise E. Agosto, PhD (Rutgers, The State University of New Jersey). Professor. Information behavior, public libraries, gender, children, young adults, multicultural materials.
Larry Alexander, PhD (University of Pennsylvania) Executive in Residence. Research Professor. Large scale modeling and simulation, pattern recognition, the future of information technology.
Yuan An, PhD (University of Toronto, Canada). Associate Professor. Conceptual modeling, schema and ontology mapping, information integration, knowledge representation, requirements engineering, healthcare information systems, semantic web.
David Augenblick, MS (University of Pennsylvania). Associate Teaching Professor. Introductory and object-oriented programming, data structures and database systems, computer application project management, application of computer programming principles and solutions to engineering problems.
Marcello Balduccini, PhD (Texas Tech University) Senior Research Scientist, Applied Informatics Group. Associate Research Professor. Logic programming, declarative programming, answer set programming, knowledge representation, various types of reasoning
Ellen Bass, PhD (Georgia Institute of Technology) Head of Department of Information Science; Joint Appointment with the College of Nursing and Health Professions. Professor. Characterizing human judgement and decision making, modeling human judgement when supported by information automation, computational models of human-human and human-automation coordination.
Mark Boady, PhD (Drexel University). Assistant Teaching Professor. Computer Algebra, complex symbolic calculations, automation of computation problems
Jennifer Booker, PhD (Drexel University). Associate Teaching Professor. Software engineering, systems analysis and design, networking, statistics and measurement, process improvement, object-oriented analysis and design, bioinformatics, and modeling of biological systems.
David E. Breen, PhD (Rensselaer Polytechnic Institute). Associate Professor. Self-organization, biomedical image/video analysis, biological simulation, geometric modeling and visualization
Matthew Burlick, PhD (Stevens Institute of Technology). Assistant Teaching Professor. Image processing, machine learning, real-time video tracking, object detection and classification, statistics/probability, and acoustics
Yuanfang Cai, PhD (University of Virginia). Associate Professor. Formal software design modeling and analysis, software economics, software evolution and modularity.
Christopher Carroll, MS (Drexel University). Assistant Teaching Professor. Information technology within healthcare companies, computer networking and design, IT infrastructure, server technology, information security, virtualization and cloud computing.
Bruce W. Char, PhD (University of California-Berkeley). Professor. Symbolic mathematical computation, algorithms and systems for computer algebra, problem-solving environments parallel and distributed computation.
Chaomei Chen, PhD (University of Liverpool). Professor. Information visualization, visual analytics, knowledge domain visualization, network analysis and modeling, scientific discovery, science mapping, scientometrics, citation analysis, human-computer interaction.
Catherine D. Collins, MLIS (Indiana University). Associate Teaching Professor. Knowledge management, collection development, management of information organizations, information sources and services, international development.
John D'Ignazio, MS (Carnegie Mellon University). Assistant Teaching Professor. Human information interaction, digital curation, design of information infrastructures, methods development to elicit and evaluate impact on information environments, metadata schemes.
Prudence W. Dalrymple, PhD (University of Wisconsin-Madison) Director, Institute for Healthcare Informatics. Research and Teaching Professor. User-centered information behaviors, particularly in the health arena, health informatics, evidence based practice, education for the information professions and evaluation, and translation of research into practice.
M. Carl Drott, PhD (University of Michigan). Associate Professor. Systems analysis techniques, web usage, competitive intelligence.
Andrea Forte, PhD (Georgia Institute of Technology). Associate Professor. Social computing, human-computer interaction, computer-supported cooperative work, computer-supported collaborative learning, information literacy.
Susan Gasson, PhD (University of Warwick). Associate Professor. The co-design of business and IT-systems, distributed cognition & knowledge management in boundary-spanning groups, human-centered design, social informatics, online learning communities, grounded theory.
Christopher Geib, PhD (University of Edinburgh). Associate Professor. Decision making and reasoning under conditions of uncertainty, planning, scheduling, constraint, based reasoning, human computer and robot interaction, probabilistic reasoning, computer network security, large scale process control, user interfaces.
Colin Gordon, PhD (University of Washington). Assistant Professor. Software reliability, program behavior, concurrent and systems-level code, formal assurance, programming models, distributed computing, even testing
Jane Greenberg, PhD (University of Pittsburgh) Alice B. Kroeger Professor. Metadata, ontological engineering, data science, knowledge organization, information retrieval
Rachel Greenstadt, PhD (Harvard University). Associate Professor. Artificial intelligence, privacy, security, multi-agent systems, economics of electronic privacy and information security.
Peter Grillo, PhD (Temple University) Associate Department Head for Undergraduate Affairs, Information Science. Teaching Professor. Strategic applications of technology within organizations.
Gregory W. Hislop, PhD (Drexel University) Senior Associate Dean for Academic Affairs. Professor. Information technology for teaching and learning, online education, structure and organization of the information disciplines, computing education research, software evaluation and characterization.
Xiaohua Tony Hu, PhD (University of Regina, Canada). Professor. Data mining, text mining, Web searching and mining, information retrieval, bioinformatics and healthcare informatics.
Jeremy R. Johnson, PhD (Ohio State University). Professor. Computer algebra; parallel computations; algebraic algorithms; scientific computing.
Weimao Ke, PhD (University of North Carolina at Chapel Hill). Associate Professor. Information retrieval (IR), distributed systems, intelligent filtering/recommendation, information visualization, network science, complex systems, machine learning, text/data mining, multi-agent systems, the notion of information.
Michael Khoo, PhD (University of Colorado at Boulder). Assistant Teaching Professor. The understandings and practices that users bring to their interactions with information systems, with a focus on the evaluation of digital libraries and educational technologies.
Xia Lin, PhD (University of Maryland). Professor. Digital libraries, information visualization, visual interface design, knowledge mapping, human-computer interaction, object-oriented programming, information retrieval, information architecture, information-seeking behaviors in digital environments.
Geoffrey Mainland, PhD (Harvard University). Assistant Professor. High-level programming languages and runtime support for non-general purpose computation.
Spiros Mancoridis, PhD (University of Toronto). Professor. Software engineering; software security; code analysis; evolutionary computation.
Gabriela Marcu, PhD (Carnegie Mellon University). Assistant Teaching Professor. Human-computer interaction, health informatics, action research, ethnography, user experience design, designing for social change, organizational information systems, ubiquitous computing, knowledge management.
Linda S. Marion, PhD (Drexel University). Teaching Professor. Formal and informal communication, bibliometric studies of scholarly communication, diffusion of information, information use in the social sciences, academic and public libraries, information science education.
Adelaida Alban Medlock, MS (Drexel University). Associate Teaching Professor. Introductory programming; computer science education.
William Mongan, MS (Drexel University) Associate Department Head for Undergraduate Affairs, Computer Science. Associate Teaching Professor. Service-oriented architectures, program comprehension, reverse engineering, software engineering, computer architecture, computer science education, engineering education outreach
Gaurav Naik, MS (Drexel University). Assistant Research Professor. Computer networking and cybersecurity
Delia Neuman, PhD (The Ohio State University). Professor Emeritus. Learning in information-rich environments, instructional systems design, the use of media for learning, and school library media.
Ko Nishino, PhD (University of Tokyo) Associate Department Head for Graduate Affairs, Computer Science. Professor. Computer vision, computer graphics, analysis and synthesis of visual appearance.
Danuta A. Nitecki, PhD (University of Maryland at College Park) Dean of Libraries. Professor. Library metrics and use in management, library as place, and academic library service models.
Krzysztof Nowak, PhD (Washington University). Associate Teaching Professor. Fourier analysis, partial differential equations, image processing, wavelets, asymptotic distribution of eigenvalues, numerical methods and algorithms, computer science education.
Santiago Ontañón, PhD (University of Barcelona). Assistant Professor. Game AI, computer games, artificial intelligence, machine learning, case-based reasoning
Jung-ran Park, PhD (University of Hawaii at Manoa). Associate Professor. Knowledge organization and representation, metadata, computer-mediated communication, cross-cultural communication, multilingual information access.
Alex Poole, PhD (University of North Carolina). Assistant Professor. Archives and records, digital humanities, digital curation, pedagogy, diversity and inclusivity in the LIS profession
Jeffrey L. Popyack, PhD (University of Virginia). Professor. Operations research, stochastic optimization, computational methods of Markov decision processes; artificial intelligence, computer science education.
William C. Regli, PhD (University of Maryland-College Park). Professor. Artificial intelligence; computer graphics; engineering design and Internet computing.
Lori Richards, PhD (University of North Carolina). Assistant Professor. Archives, digital curation, electronic records management, information technology and digital collections, cloud computing and record keeping, management of information organizations.
Michelle L. Rogers, PhD (University of Wisconsin-Madison). Associate Professor. Human-computer interaction, healthcare informatics, human factors engineering, socio-technical systems, health services research, patient safety.
Jeffrey Salvage, MS (Drexel University). Teaching Professor. Object-oriented programming, multi-agent systems, software engineering, database theory, introductory programming, data structures.
Dario Salvucci, PhD (Carnegie Mellon University) Department Head, Computer Science. Professor. Human computer interaction, cognitive science, machine learning, applications for driving.
Kurt Schmidt, MS (Drexel University). Associate Teaching Professor. Data structures, math foundations for computer science, programming tools, programming languages.
Ali Shokoufandeh, PhD (Rutgers University) Senior Associate Dean of Research. Professor. Theory of algorithms, graph theory, combinational optimization, computer vision.
Erin Solovey, PhD (Tufts University). Assistant Professor. Human-computer interaction, brain-computer interfaces, tangible interaction, machine learning, human interaction with complex and autonomous systems.
Il-Yeol Song, PhD (Louisiana State University) PhD in Information Studies Program Director. Professor. Conceptual modeling, ontology and patterns, data warehouse and OLAP, object-oriented analysis and design with UML, medical and bioinformatics data modeling & integration,.
Julia Stoyanovich, PhD (Columbia University). Assistant Professor. Data and knowledge management, big data, biological data management, search and ranking.
Brian Stuart, PhD (Purdue University). Associate Teaching Professor. Machine learning, networking, robotics, image processing, simulation, interpreters, data storage, operating systems, computer science, data communications, distributed/operating systems, accelerated computer programming, computer graphics.
Deborah Turner, PhD (University of Washington). Assistant Professor. Information behavior/interaction, management of information institutions, orality and information.
Kristene Unsworth, PhD (University of Washington). Assistant Professor. Information policy, ethics, government information.
Filippos Vokolos, PhD (Polytechnic University). Assistant Teaching Professor. System architecture, principles of software design and construction, verification and validation methods for the development of large software systems, foundations of software engineering, software verification & validation, software design, programming languages, dependable software systems.
Rosina Weber, PhD (Federal University of Santa Catarina). Associate Professor. Knowledge-based systems; case-based reasoning; textual case-based reasoning; computational intelligence; knowledge discovery; uncertainty, mainly targeting knowledge management goals in different domains, e.g., software engineering, military, finance, law, bioninformatics, and health sciences.
Erija Yan, PhD (Indiana University). Assistant Professor. Network Science, information analysis and retrieval, scholarly communication methods and applications.
Christopher C. Yang, PhD ( University of Arizona, Tucson). Associate Professor. Web search and mining, security informatics, knowledge management, social media analytics, cross-lingual information retrieval, text summarization, multimedia retrieval, information visualization, information sharing and privacy, artificial intelligence, digital library, and electronic commerce.
Valerie Ann Yonker, PhD (Drexel University). Associate Teaching Professor. Human service information systems, systems analysis and design, measurement in software evaluation, knowledge engineering.

Emeritus Faculty

Michael E. Atwood, PhD (University of Colorado) Associate Dean for Research and for Undergraduate Education. Professor Emeritus. Human-computer interaction, computer-supported cooperative work, organizational memory.
Thomas A. Childers, PhD (Rutgers University). Professor Emeritus. Measurement, evaluation, and planning of information and library services, the effectiveness of information organizations.
David E. Fenske, PhD (University of Wisconsin-Madison). Dean Emeritus and Professor. Digital libraries, informatics, knowledge management and information technologies.
John B. Hall, PhD (Florida State University). Professor Emeritus. Academic library service, library administration, organization of materials.
Katherine W. McCain, PhD (Drexel University). Professor Emeritus. Scholarly communication, information production and use in the research process, development and structure of scientific specialties, diffusion of innovation, bibliometrics, evaluation of information retrieval systems.
Carol Hansen Montgomery, PhD (Drexel University) Dean of Libraries Emeritus. Research Professor. Selection and use of electronic collections, evaluation of library and information systems, digital libraries, economics of libraries and digital collections.
Gerry Stahl, PhD (University of Colorado, Northwestern University). Professor Emeritus. Human-computer interaction, computer-supported cooperative work, computer-supported collaborative learning, theory of collaboration.
Howard D. White, PhD (University of California at Berkeley). Professor Emeritus. Literature information systems, bibliometrics, research methods, collection development, online searching.
Susan Wiedenbeck, PhD (University of Pittsburgh). Professor Emeritus. Human-computer interaction, end-user programming/end-user development, empirical studies of programmers, interface design and evaluation.
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