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Informatics

About the Program

Bachelor of Science Degree in Informatics (BSI)

A new major in informatics, available for enrollment this coming fall, has been specifically designed to meet the growing needs for individuals who can solve problems issues related to big data.

Informatics majors learn to define information needs of individuals and organizations; select and transform data to increase usefulness for solving particular problems; analyze and synthesize big, unstructured data to create actionable information; create information visualizations for big data exploration and presentation; manage very large volume data sources from acquisition through disposal, and secure, preserve, and control access to data in a manner consistent with legal and organizational considerations.

Graduates of the program will become key members of organizational data science teams who will create novel information products with an emphasis on solving problems that can be addressed using very large and disparate data sources. This forward-looking program for undergraduates offers a solid background in liberal arts and sciences, including courses in international studies and options for foreign language to embrace a global perspective.

This program will go into effect academic year 2013-2014.

Minor in Informatics

Informatics is the science of information, the practice of information processing, and the engineering of information systems. The iSchool's minor in informatics combines basic courses in information systems and technology with courses that address the cognitive issues and social contexts in which information systems and technologies are embedded.

Any student in any major can benefit from a minor in informatics. Graduates with such background knowledge are prepared to actively participate in the application of information technology within their major area of study.

The minor is available to all University students in good standing, with the exception of students majoring in Information Systems, Information Technology or Software Engineering.

Requirements
INFO 101	Introduction to Information Technology	3.0
INFO 102	Introduction to Information Systems	3.0
INFO 105	Introduction to Informatics	3.0
INFO 108	Foundations of Software	3.0
INFO 110	Human-Computer Interaction I	3.0
INFO 210	Database Management Systems	3.0
Select one of the following pairs:		6.0
Informatics on the Internet
INFO 151	Web Systems and Services I
INFO 152	Web Systems and Services II
Informatics in Society
INFO 205 [WI]	Strategic Uses of Information Systems
INFO 215	Social Aspects of Information Systems
Informatics in the Organization
INFO 205 [WI]	Strategic Uses of Information Systems
INFO 435	Information Services
Planning and Delivery of IT Services
INFO 410	Information Technology Infrastructure
INFO 415	Information Technology Services
Total Credits		24.0

Courses

INFO 101 Introduction to Information Technology 3.0 Credits

Introduces the basic knowledge and techniques required to use computing effectively in organizations. Explores information systems, information technology and software concepts with an emphasis on how computing can be used to help organizations meet their goals.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit

INFO 102 Introduction to Information Systems 3.0 Credits

Introduces students to major types of information systems and their development and their use in organizations. Emphasizes ways in which information systems can be used to help individuals and organizations meet their goals. Assumes basic knowledge of computing concepts.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit

INFO 105 Introduction to Informatics 3.0 Credits

Considers the field of informatics as the application of information and computer sciences to a specific domain. Focuses on the three components on informatics: information, users, and information and communication technologies. Topics include information needs, user groups, social media, technology evolution and diffusion of innovation.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit

INFO 108 Foundations of Software 3.0 Credits

Provides students with fundamental concepts about software and software representation. Topics include software and database representation, development environments, and techniques for designing, coding, testing and deploying software systems. Introduces programming concepts and activities using pair programming activities.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit

INFO 110 Human-Computer Interaction I 3.0 Credits

This course introduces the student to the study of computer-based user interfaces. It presents a user-interface layout and design, types and usage of interaction techniques, building a consistent look and feel throughout the interface and how to evaluate designs with users. Centered focus in evaluation of computer interfaces. It teaches the basic principles of user analysis and interface evaluation and gives a practical introduction to ergonomics.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit

INFO 120 IST Seminar for Transfer Students 2.0 Credits

Introduces students to academic and co-curricular aspects of university life. Includes academic functions such as writing, reading, and studying skills and co-curricular functions such as campus resources, activities, and social programs. Aids in the transition to student life and is designed to help each student achieve academic and personal success.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit

INFO 140 Information Systems Laboratory I 1.0 Credit

Provides hands-on experience with a variety of software products basic to current information systems. Covers products that support personal productivity in organizing, analyzing and presenting information. Addresses both local processing on personal computers and creation and use of information on the Internet.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 101 [Min Grade: D]

INFO 151 Web Systems and Services I 3.0 Credits

Introduces technologies used to build leading-edge application systems and services on the World Wide Web. Coverage includes a selection of Web components such as make-up and scripting languages and frameworks for building systems. Introduces Web programming using pair or small team programming activities.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 108 [Min Grade: D]

INFO 152 Web Systems and Services II 3.0 Credits

Explores techniques used to build leading-edge application systems on the World Wide Web. Topics include Web server components of Web applications, and basic database processing. Includes Web programming using pair or small team programming activities.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 151 [Min Grade: D]

INFO 153 Applied Data Management 3.0 Credits

Explores technologies used to gather, organize, store, and retrieve data in various forms. Focuses on using databases and other information management components in software systems. Topics include database servers, data management for Web applications, and data structures. Includes data management software development using pair or small team programming activities.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 152 [Min Grade: D]

INFO 154 Software System Construction 3.0 Credits

Introduces considerations that make large software systems challenging to design, build, and maintain. Topics include coding standards and documentation, program architecture, verification, software evolution, and managing large software systems. Includes software modification and development using pair and team programming.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 152 [Min Grade: D]

INFO 200 Systems Analysis I 3.0 Credits

Study of the principles, practices and tools of information systems analysis and design. Emphasis on learning pragmatic aspects of working as a systems analyst and employing the tools of systems analysis and design.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 102 [Min Grade: D]

INFO 204 Nursing Informatics 3.0 Credits

This course is designed to examine technology and tools of the Internet and World Wide Web with a focus on the use of cyber technology and selected computer applications. The automation of data management through information systems, expert systems, and telecommunication, and the impact of these technologies on nursing administration, education, practice and research are addressed in the context of nursing informatics. Actual problem-solving and mini-design projects on how computerization and automation can improve the efficiency of nursing care delivery will be emphasized.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if major is NURS.
Prerequisites: NURS 100 [Min Grade: D] and NURS 102 [Min Grade: D] and CS 161 [Min Grade: D]

INFO 205 [WI] Strategic Uses of Information Systems 3.0 Credits

Familiarizes students with basic business problems and operations and provides an understanding of how information systems can be used to benefit organizations. Also introduces students to the pitfalls of developing and implementing information systems in organizations and helps students improve critical thinking skills. This is a writing intensive course.

INFO 210 Database Management Systems 3.0 Credits

Focuses on how to design databases for given problems, and how to use database systems effectively. Topics include database design techniques using the entity-relationship approach, techniques of translating the entity-relationship diagram into a relational schema, relational algebra, commercial query languages, and normalization techniques.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 102 [Min Grade: D] or SE 210 [Min Grade: D]

INFO 215 Social Aspects of Information Systems 3.0 Credits

Introduces social issues involved in information systems design and use, e.g., personal computing, telecommuting, computers in education, the privacy and security of stored and transmitted information, and information ownership. Explores the interaction of high technology, employment, and class structure.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 105 [Min Grade: D]

INFO 220 Geographic Information Science 3.0 Credits

Explores the creation, distribution and growth of geospatial data, highlighting their uses and misuses. Structured as an applications-based course where students learn how geospatial technologies are used to turn data into maps, tables and imagery through hands-on exercises and laboratory work.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman

INFO 300 Information Retrieval Systems 3.0 Credits

The theoretical underpinnings of information retrieval are covered to give the student a solid base for further work with retrieval systems. Emphasis is given to the process of textual information for machine indexing and retrieval. Aspects of information retrieval covered include document description, query formulation, retrieval algorithms, query matching, and system evaluation.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 105 [Min Grade: D] and INFO 110 [Min Grade: D] and (CS 260 [Min Grade: D] or CS 133 [Min Grade: D] or INFO 154 [Min Grade: D] or SE 103 [Min Grade: D])

INFO 310 Human-Computer Interaction II 3.0 Credits

Introduces the student to interactive computer system design. Teaches some of the basic approaches to task analysis, design, and evaluation of interactive computer systems. Applies these design principles in the development of the interface to an interactive computer system.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 110 [Min Grade: D] or SE 210 [Min Grade: D]

INFO 320 Server Technology I 4.0 Credits

Addresses information systems that have server-based architectures. Introduces students to basic concepts of servers and server-based architectures. Discusses dependence on features and capabilities of the underlying operating system. Reviews concepts of operating system, their architectures, and services. Discusses the client-server and various client-server architectures.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: INFO 101 [Min Grade: D] and (CS 131 [Min Grade: D] or CS 164 [Min Grade: D] or CS 171 [Min Grade: D] or SE 101 [Min Grade: D] or INFO 151 [Min Grade: D])

INFO 321 Server Technology II 4.0 Credits

Presents details of specific server platforms used to provide services to information systems applications. Prepares students to apply server technologies to information systems problems.

INFO 322 Server Technology III 4.0 Credits

Continues the study of server platform technologies for information systems applications. Prepares students to apply a wide range of server technologies to information systems problems.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 321 [Min Grade: D]

INFO 324 Team Process and Product 3.0 Credits

Provides hands-on experience with working in small teams to apply processes and produce products typical of current best practices in computing and information technology organizations. Allows students to develop an integrated understanding of project life cycle phases. Examines issues of team organization and operation, problem solving, and communication.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 153 [Min Grade: D] and INFO 200 [Min Grade: D]

INFO 330 Computer Networking Technology I 4.0 Credits

Presents the fundamentals of data communications and networking technologies. Focuses on the broad foundational coverall of key technologies and key concepts in network planning, design, and management. Major topics include network models, data and voice communications, local-area and wide-area technologies, IP networks and their applications and internetworking emphasizing the Internet.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: CS 171 [Min Grade: D] or CS 132 [Min Grade: D] or SE 102 [Min Grade: D] or INFO 152 [Min Grade: D]

INFO 331 Computer Networking Technology II 4.0 Credits

Focuses on design, construction and use of modern networks and internetworks. Prepares students to successfully create and operate modern secure networks. Major topics include LAN design and construction, internetwork architecture, WAN connectivity, security, virtual private networks and network operation in real-world environments.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 330 [Min Grade: D]

INFO 333 Introduction to Information Security 3.0 Credits

Introduction to information security in modern organizations. Examines what information security is, and what motivates organizations to consider information security as a high priority. Introduces legal, ethical and professional issues, risk management, security planning, security technologies, and security implementation and maintenance.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit

INFO 336 Distributed Systems Security 3.0 Credits

Study of the principles, practices, and techniques to secure distributed applications, information and the infrastructure of distributed information systems. Topics include security planning, policies and models, threats and attacks, and the use and integration of distributed system security mechanisms for confidentiality, authentication, access control, and intrusion detection.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 330 [Min Grade: D]

INFO 340 Programming Internet Information Systems I 3.0 Credits

This is a hands-on course on programming Internet information systems with an object-oriented programming language, currently Java. The course emphasizes programming practice. It covers fundamental concepts such as object-oriented programming, client-server programming, multi-threaded programming, graphical user interface design, and application development.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: CS 171 [Min Grade: D] or CS 132 [Min Grade: D] or INFO 152 [Min Grade: D] or SE 102 [Min Grade: D]

INFO 341 Programming Internet Information Systems II 3.0 Credits

Continues to develop design and programming skills for the development of Internet information systems. Studies and compares various web servers, applications servers, and different server-side programming languages. Emphasizes issues related to object-oriented design and server-side programming.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 340 [Min Grade: D]

INFO 355 Systems Analysis II 3.0 Credits

A project-oriented course that discusses software engineering and advanced techniques of requirements modeling, prototyping and software design, particularly utilizing object-oriented techniques. The course builds upon Systems Analysis I, requiring students to apply their knowledge of systems analysis tools and techniques.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 210 [Min Grade: D] and INFO 200 [Min Grade: D]

INFO 360 Language Processing 3.0 Credits

Study of the problems and techniques of processing natural language. Introduces theory of spoken language and how it differs from theories of computer-generated natural language. Includes language pattern recognition and syntactic inference, and semantic networks.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 210 [Min Grade: D] and INFO 200 [Min Grade: D]

INFO 365 Database Administration I 3.0 Credits

Database Administration is a continuation of Database Management Systems, and includes the following: advanced ERD techniques, database management system internals and advanced elements of the SQL language, as well as stored procedures and triggers, specifically as demonstrated in the Oracle implementation.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 210 [Min Grade: D] and (CS 171 [Min Grade: D] or CS 132 [Min Grade: D] or INFO 152 [Min Grade: D] or SE 102 [Min Grade: D])

INFO 366 Database Administration II 3.0 Credits

Introduces the principles and practices of database administration, particularly as they apply to commercial-grade relational database management systems. The course will include, but not be limited to, installation, systems tuning, application tuning, security, user management, backup and recovery. To this end, internals of RDBMSs will be discussed, using major commercial RDBMSs as examples. Distributed database issues will also be discussed. As time permits, other advanced issues will be addressed, such as issues of object and object-relational databases.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 365 [Min Grade: D]

INFO 370 Artificial Intelligence for Information Systems 3.0 Credits

Introduction to the field of artificial intelligence (AI). Basic concepts, principles, and techniques used to achieve the goals of AI are studied. Examples and applications are specific to information systems.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 108 [Min Grade: D] and PHIL 111 [Min Grade: D]

INFO 373 Digital Forensics 3.0 Credits

Provides an introduction to the collection, analysis, presentation, and preservation of digital evidence according to methodologies defined by forensic science to fulfill the needs of the legal and law enforcement communities. Introduces systems understanding as an important tool for digital forensic investigation of crimes that use information technology.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 210 [Min Grade: D] and INFO 355 [Min Grade: D]

INFO 375 Introduction to Information Systems Assurance 3.0 Credits

Introduction to the problem of security for modern information systems. Provides an overview of threats, both human and computer, to the security of an organization's data and information resources. Explores how systems may be made less vulnerable and how to respond. Examines issues of personal security in an electronic world.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 200 [Min Grade: D] and INFO 330 [Min Grade: D]

INFO 399 Independent Study 2.0-12.0 Credits

Requires approval of advisor, supervising faculty member and college. BSIS majors may take a maximum of 6 credits of independent study. Any exception to this maximum must be approved in advance by the student's advisor. Independent study on a topic selected by the student. Independent study is supervised by a faculty member and guided by a plan of study developed by the student in a term prior to the term in which the independent study is pursued.

College/Department: College of Information Science & Technology
Repeat Status: Can be repeated multiple times for credit

INFO 404 Nursing Informatics for the Bachelor of Science in Nursing Completion 3.0 Credits

Designed for registered nurses in the RN-BSN completion program. Examines computer applications, technology, internet tools, and focuses on health care informatics context for data management, information systems and telecommunications in nursing administration, education and practice. Problem solving and mini-design projects related to increased efficiency in nursing care delivery.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if major is NUOL.

INFO 405 Social and Collaborative Computing 3.0 Credits

Examines selected human, social and technical issues and concepts of computer-supported cooperative work, computer-supported collaborative learning and social networking. Topics include: the way that groups work in the networked organization; analysis and design of groupware; social networking and community-learning technologies; and future directions of these technologies.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 310 [Min Grade: D]

INFO 410 Information Technology Infrastructure 3.0 Credits

Presents methods for evaluating and selecting information technologies and planning technology implementation. Emphasizes consideration of needs and issues of the organization and individuals served by the technology. Also addresses issues in management of served by the technology. Also addresses issues in management of technology after initial installation including service planning, maintenance, and evolution.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman or Sophomore

INFO 415 Information Technology Services 3.0 Credits

Introduces issues in management and delivery of IT services. Addresses needs and approaches to operational support including providing services, help desks, online support, documentation, and user training. Examines approached to defining, measuring, and analyzing service and support quality.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman or Sophomore

INFO 420 [WI] Software Project Management 3.0 Credits

The objective of this course is to study project management in the context of software systems development. The course will cover the processes, contexts, metrics, planning and management concerns of managing projects for modern software systems. This is a writing intensive course.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Junior or Senior.
Prerequisites: (INFO 200 [Min Grade: D] or SE 210 [Min Grade: D]) and (CS 172 [Min Grade: D] or CS 265 [Min Grade: D] or INFO 153 [Min Grade: D] or SE 103 [Min Grade: D])

INFO 424 Team Project Practicum 3.0 Credits

Provides hands-on experience with software systems development in a controlled environment. Student work in small teams to create a software product selected by the instructor. Activities include requirements specification, test specification, design, and software construction. Allows students to develop an integrated understanding of software life-cycle phases.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 200 [Min Grade: D] and INFO 324 [Min Grade: D]

INFO 425 [WI] Design Problem I 3.0 Credits

This course is an independent project in which student teams design and implement information systems under faculty guidance. Possible projects include (but are not limited to) information technology areas such as databases, web-based systems, collaborative systems, user interfaces, and expert systems. This is a writing intensive course.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.
Prerequisites: INFO 420 [Min Grade: D] and INFO 424 [Min Grade: D]

INFO 426 [WI] Design Problem II 3.0 Credits

This course is a continuation of INFO 425. This is a writing intensive course.

INFO 435 Information Services 3.0 Credits

Examines electronic services that deliver "published" information to an organization from external sources. Relates these services to functions such as planning, marketing, and research. Shows ways of monitoring the organization's larger environments, such as the economy, government, competitors, and new technologies. This course introduces students to the core concepts of information services as they apply to the essential techniques for retrieving, analyzing, organizing and presenting information. The skills learned in this course are transferable to any information seeking activity whether it is in a large research and development lab, or a small start-up company. The overall goal of this course is that upon completion, each student can produce a systematic and accurate method for recovering, analyzing, and disseminating needed information in any setting.

INFO 450 Expert Consultant Systems 3.0 Credits

Introduces the basic concepts, techniques, and tools involved in the development of information systems based on human expertise. The course discusses the identification of expert system projects, knowledge acquisition, architectures of expert systems, inference, database and procedural considerations, verification and validation of expert systems. Provides hands-on experience in developing expert systems using an expert system programming language.

College/Department: College of Information Science & Technology
Repeat Status: Not repeatable for credit
Prerequisites: INFO 370 [Min Grade: D]

INFO 480 Special Topics in Information Systems 4.0 Credits

Selected topics of interest to students in information systems. May be repeated for credit if topic varies.

College/Department: College of Information Science & Technology
Repeat Status: Can be repeated multiple times for credit

Information Science and Technology Faculty

Eileen G. Abels, PhD (UCLA) Associate Dean for Academic Affairs. Professor. Digital reference, information seeking behaviors, information access, business information needs.

Denise E. Agosto, PhD (Rutgers, The State University of New Jersey). Associate Professor. Information behavior, public libraries, gender, children, young adults, multicultural materials.

Larry Alexander, PhD (University of Pennsylvania). Research Professor. Executive in Residence. Large scale modeling and simulation, pattern recognition, the future of information technology.

Yuan An, PhD (University of Toronto, Canada). Assistant Professor. Conceptual modeling, schema and ontology mapping, information integration, knowledge representation, requirements engineering, healthcare information systems, and Semantic Web.

Norm Balchunas, COL (Ret), MSS (Air War College, Air University (Maxwell Air Force Base, AL)) Director of Strategic Solutions. Assistant Research Professor. Applied Informatics Group. Strategic planning, electronic warfare, information operations, cyber-attack, combat operations.

Ellen Bass, PhD (Georgia Institute of Technology). Professor. Characterizing human judgement and decision making, modeling human judgement when supported by information automation, computational models of human-human and human-automation coordination.

Glenn Booker, PhD (Drexel University). Assistant 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.

Toni Carbo, PhD (Drexel University) iSchool Program Leader, Drexel University Center for Graduate Studies, Sacramento. Teaching Professor. Information policy, information ethics, academic librarianship, management and LIS education.

Chris Carroll, MS (Drexel University). Assistant Teaching Professor. Information technology within healthcare companies, IT infrastructure, networking technology, server technology, information security, virtualization and cloud computing.

Chaomei Chen, PhD (University of Liverpool). Associate 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). Assistant Teaching Professor. Knowledge management, collection development, management of information organizations, information sources and services, international development.

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.

Susan E. Davis, PhD (University of Wisconsin-Madison). Associate Teaching Professor. Archives and special collections management, organization of and access to archival records, archival education, leadership in professions.

M. Carl Drott, PhD (University of Michigan). Associate Professor. Systems analysis techniques, web usage, competitive intelligence.

David E. Fenske, PhD (University of Wisconsin-Madison) Dean of the College and Isaac L. Auerbach Professor of Information Science. Digital libraries, informatics, knowledge management and information technologies.

Andrea Forte, PhD (Georgia Institute of Technology). Assistant 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. Probalistic plan recognition and planning, reasoning based on lexicalized grammars, grounding cognition in embodied systems, human-computer interaction, computer network security.

Sean P. Goggins, PhD (University of Missouri). Assistant Professor. Computer-supported cooperative work, computer supported collaborative learning, social computing, collaborative information behavior, distributed work, small group research, software engineering.

Peter Grillo, PhD (Temple University). Assistant Teaching Professor. Strategic applications of technology within organizations.

Tony H. Grubesic, PhD (The Ohio State University). Associate Professor. Geographic information science, spatial analysis, development, telecommunication policy, location modeling.

Gene Gualtieri, PhD (Michigan State University). Assistant Research Professor. Problems in medical imaging, MRI/PET/CT data, and related technology areas.

Trudi Bellardo Hahn, PhD (Drexel University) Director of Academic Outreach. Teaching Professor. History and origins of the field of information science; scholarly communication, particularly in regard to open access and author rights; development needs of students and faculty in the field.

Gregory W. Hislop, PhD (Drexel University). 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.

Weimao Ke, PhD (University of North Carolina at Chapel Hill). Assistant 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 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.

Alison M. Lewis, PhD (Temple University). Assistant Teaching Professor. Ethics of librarianship, collection development and services to humanists and social scientists.

Jiexun Jason Li, PhD (University of Arizona). Assistant Professor. Knowledge discovery, data mining, text mining, Web mining, machine learning, network analysis.

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.

Monica Maceli, PhD (Drexel University). Assistant Teaching Professor. Human-computer interaction, informatics, social computing, meta-design/end-user development, online education, and instructional design.

Linda S. Marion, PhD (Drexel University). Associate 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.

Katherine W. McCain, PhD (Drexel University). Professor. 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.

Vanessa J. Irvin Morris, EdD (University of Pennsylvania). Assistant Teaching Professor. Public libraries, social epistemology, youth services, multicultural literature, Web design, social media.

Delia Neuman, PhD (The Ohio State University) Director of the School Library Media Program. Associate Professor. Learning in information-rich environments, instructional systems design, the use of media for learning, and school library media.

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.

Jung-ran Park, PhD (University of Hawaii at Manoa). Associate Professor. Knowledge organization and representation (cataloging and classification, metadata, image indexing, thesauri, lexicons, ontologies, semantic web), computer-mediated communication, cross-cultural communication, multilingual information access and discourse.

Lori Richards, MA (University of North Carolina). Assistant Professor. Electronic records management, digital curation, information governance under emerging technologies, cloud computing, economics of public information stewardship.

Harvey Rishikof, JD (New York University School of Law) Director of Cybersecurity and the Law in the iSchool and Earle Mack School of Law. Teaching Professor. National security law, civil and military courts, terrorism, international law, civil liberties, civilian/military relations, governmental process, and the US Constitution.

Jennifer A. Rode, PhD (University of California, Irvine). Assistant Professor. Human-computer interaction, ubiquitous computing, digital anthropology, gender, security and privacy.

Michelle L. Rogers, PhD (University of Wisconsin-Madison). Assistant Professor. Human-computer interaction, healthcare informatics, human factors engineering, socio-technical systems, health services research, patient safety.

Aleksandra Sarcevic, PhD (Rutgers University). Assistant Professor. Computer-supported cooperative work, human-computer interaction, healthcare informatics, crisis informatics, social analysis of information and communications technology (ICT).

Il-Yeol Song, PhD (Louisiana State University). Professor. Conceptual modeling, ontology and patterns, data warehouse and OLAP, object-oriented analysis and design with UML, medical and bioinformatics data modeling & integration, and digital forensics.

Gerry Stahl, PhD (University of Colorado, Northwestern University). Associate Professor. Human-computer interaction, computer-supported cooperative work, computer-supported collaborative learning, theory of collaboration.

Julia Stoyanovich, PhD (Columbia University). Assistant Professor. Data and knowledge management, big data, biological data management, search and ranking.

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.

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, and law.

Susan Wiedenbeck, PhD (University of Pittsburgh) PhD Program Director. Professor. Human-computer interaction, end-user programming/end-user development, empirical studies of programmers, interface design and evaluation.

Christopher C. Yang, PhD ( University of Arizona, Tucson). Associate Professor. Web search and mining, security informatics, knowledge management, cross-lingual information retrieval, text summarization, multimedia retrieval, information visualization, information sharing and privacy, 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.

Lisl Zach, PhD (University of Maryland). Assistant Professor. Knowledge management/competitive intelligence, disaster-related information services, information-seeking behavior of decision makers, measuring and communicating the value of information, organizational use of information.

Emeritus Faculty

Michael E. Atwood, PhD (University of Colorado) Associate Dean for Research and for Undergraduate Education. Professor. 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.

John B. Hall, PhD (Florida State University). Professor Emeritus. Academic library service, library administration, organization of materials.

Carol Hansen Montgomery, PhD (Drexel University) Dean of Libraries. Professor Emeritus. Selection and use of electronic collections, evaluation of library and information systems, digital libraries, economics of libraries and digital collections.

Howard D. White, PhD (University of California at Berkeley) Visiting Research Professor. Professor Emeritus. Literature information systems, bibliometrics, research methods, collection development, online searching.

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Informatics

About the Program

Minor in Informatics

Courses

Information Science and Technology Faculty

Emeritus Faculty

Writing-intensive Requirements