Software Engineering

Major: Software Engineering
Degree Awarded: Bachelor of Science in Software Engineering (BSSE)
Calendar Type: Quarter
Total Credit Hours: 186.5
Co-op Options: Three Co-op (Five years); One Co-op (Four years)
Classification of Instructional Program (CIP) code: 14.0903
Standard Occupational Classification (SOC) code:
15-1132; 15-1133

About the Program

The College of Computing & Informatics' Bachelor of Science in Software Engineering (BSSE) prepares students to design and build software systems. Software is essential to the functioning of modern society but high quality software is very challenging to create. Software engineering focuses on the knowledge and skills to meet that challenge and create high quality software on schedule within budget. 

The Software Engineering curriculum addresses a full range of software activities including gathering client requirements, designing and constructing software solutions, testing software, and modifying and extending existing systems. The curriculum also recognizes that most software is developed by teams, and students develop skills in project management and team operation. Graduates are well-prepared to function as software engineering team members and also move toward software engineering management. 

The core courses address programming and use of software development tools, specification and design, software architecture, verification and validation, software evolution, and team projects. These courses are supplemented with courses drawn from computer science and Informatics that provide theoretical background and application knowledge. The full curriculum prepares BSSE students to apply processes, methods, and tools to the problem of building and maintaining software with a defined level of quality, at a predictable cost, on a predictable schedule. 

Additional Information

For more information about this program, please visit the BS in Software Engineering web page on the College of Computing & Informatics' website.

Degree Requirements


Software Engineering Requirements
CS 164Introduction to Computer Science3.0
CS 171Computer Programming I3.0
or CS 175 Advanced Computer Programming I
CS 172Computer Programming II3.0
or CS 176 Advanced Computer Programming II
SE 210Software Specification and Design I3.0
SE 181Introduction to Software Engineering and Development3.0
SE 211Software Specification and Design II3.0
SE 310Software Architecture I3.0
SE 311Software Architecture II3.0
SE 320Software Verification and Validation3.0
SE 410Software Evolution3.0
Computer Science Requirements
CS 260Data Structures3.0
CS 265Advanced Programming Tools and Techniques3.0
CS 281Systems Architecture4.0
CS 283Systems Programming3.0
CS 472Computer Networks: Theory, Applications and Programming3.0
Information Systems Requirements
INFO 210Database Management Systems3.0
INFO 310Human-Centered Design Process & Methods3.0
INFO 420Software Project Management3.0
Computing & Informatics Requirements
CI 101Computing and Informatics Design I2.0
CI 102Computing and Informatics Design II2.0
CI 103Computing and Informatics Design III2.0
CI 491 [WI] Senior Project I3.0
CI 492 [WI] Senior Project II3.0
CI 493 [WI] Senior Project III3.0
Computing & Informatics Electives (see below)18.0
Mathematics Requirements
CS 270Mathematical Foundations of Computer Science3.0
MATH 121Calculus I4.0
MATH 122Calculus II4.0
MATH 123Calculus III4.0
MATH 221Discrete Mathematics3.0
STAT 201Introduction to Business Statistics4.0
STAT 202Business Statistics II4.0
Science Requirements18.0
Select one of the following lab science sequences:
Cells and Biomolecules
and Cells and Biomolecules Lab
and Genetics and Evolution
and Genetics and Evolution Lab
and Physiology and Ecology
and Anatomy and Ecology Lab
General Chemistry I
and General Chemistry II
and General Chemistry III
Fundamentals of Physics I
and Fundamentals of Physics II
and Fundamentals of Physics III
Additional Science electives to reach 18 credits (see below)
Arts & Humanities Requirements
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
or ENGL 111 English Composition I
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
or ENGL 112 English Composition II
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
or ENGL 113 English Composition III
PHIL 105Critical Reasoning3.0
PHIL 311Ethics and Information Technology3.0
COM 230Techniques of Speaking3.0
COM 310 [WI] Technical Communication3.0
PSY 101General Psychology I3.0
PSY 330Cognitive Psychology3.0
Select two of the following:8.0
Accounting for Professionals
Principles of Microeconomics
Principles of Macroeconomics
Arts & Humanities, Business, or Social Studies elective (see below)3.0
University Requirements
UNIV CI101The Drexel Experience2.0
or CI 120 CCI Transfer Student Seminar
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development1.0
Free Electives12.5
Total Credits186.5

Program Electives

Independent study courses and special topics courses must be approved by the department prior to enrollment to satisfy a program elective requirement.

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.

Sample Plan of Study

5 YR UG Co-op Concentration

5-Year Spring Summer Coop Cycle

First Year
CI 1012.0CI 1022.0CI 1032.0VACATION
CS 1643.0CIVC 1011.0CS 172 or 1763.0 
ENGL 101 or 1113.0COOP 1011.0ENGL 103 or 1133.0 
MATH 1214.0CS 171 or 1753.0MATH 1234.0 
UNIV CI1011.0ENGL 102 or 1123.0UNIV CI1011.0 
Science Lab4.0MATH 1224.0Science Lab4.0 
 Science Lab4.0  
 17 18 17 0
Second Year
CS 2653.0INFO 2103.0  
CS 2703.0MATH 2213.0  
SE 1813.0SE 2113.0  
SE 2103.0Science Elective3.0  
 15 15 0 0
Third Year
CS 2814.0SE 3113.0  
PSY 1013.0STAT 2024.0  
SE 3103.0Science Elective3.0  
STAT 2014.0Free Elective3.0  
 17 16 0 0
Fourth Year
PHIL 1053.0PHIL 3113.0  
SE 3203.0SE 4103.0  
Computing & Informatics Elective3.0Computing & Informatics Elective3.0  
Free Elective3.0Free Elective3.0  
 15 15 0 0
Fifth Year
CI 4913.0CI 4923.0CI 4933.0 
CS 4723.0PSY 3303.0Computing & Informatics Elective3.0 
ACCT 110, ECON 201, or ECON 2024.0ACCT 110, ECON 201, or ECON 2024.0Arts & Humanities Elective3.0 
Computing & Informatics Elective3.0Computing & Informatics Elective6.0Free Elective3.5 
 13 16 12.5 
Total Credits 186.5

4-Year Spring Summer Coop Cycle

First Year
CI 1012.0CI 1022.0CI 1032.0VACATION
CS 1643.0CIVC 1011.0CS 172 or 1763.0 
ENGL 101 or 1113.0CS 171 or 1753.0ENGL 103 or 1133.0 
MATH 1214.0ENGL 102 or 1123.0MATH 1234.0 
UNIV CI1011.0MATH 1224.0UNIV CI1011.0 
Science Lab4.0Science Lab4.0Science Lab4.0 
 17 17 17 0
Second Year
COM 2303.0COOP 1011.0COM 3103.0CS 2833.0
CS 2653.0CS 2603.0CS 2814.0SE 3113.0
CS 2703.0INFO 2103.0PSY 1013.0STAT 2024.0
SE 1813.0MATH 2213.0SE 3103.0Science Elective3.0
SE 2103.0SE 2113.0STAT 2014.0Free Elective3.0
 Science Elective3.0  
 15 16 17 16
Third Year
PHIL 1053.0PHIL 3113.0  
SE 3203.0SE 4103.0  
Computing & Informatics Elective3.0Computing & Informatics Elective3.0  
Free Elective3.0Free Elective3.0  
 15 15 0 0
Fourth Year
CI 4913.0CI 4923.0CI 4933.0 
CS 4723.0PSY 3303.0Computing & Informatics Elective3.0 
ACCT 110, ECON 201, or ECON 2024.0ACCT 110, ECON 201, or ECON 2024.0Arts & Humanities Elective3.0 
Computing & Informatics Elective3.0Computing & Informatics Electives6.0Free Elective3.5 
 13 16 12.5 
Total Credits 186.5

Co-op/Career Opportunities

Co-Op Options

Two co-op options are available for this program:

  • 5-year/3 co-op
  • 4-year/1 co-op

Career Opportunities

The demand for software engineering professionals is quite strong. Graduates can expect career opportunities in software design and development in a variety of application areas. Software engineering graduates are particularly well suited to work as members or leaders of software project teams. They have knowledge and skills to help them develop quality software within schedule and cost constraints.

According to the U.S. Bureau of Labor Statistics' Occupational Outlook Handbook, software developer is among the fastest growing U.S. careers requiring at least a bachelor's degree, with an estimated 284,100 new jobs by 2028. Although they have jobs in most industries, many software developers work in computer systems design and related services firms or software publishers. The field's rapid growth is mainly due to the increase in demand for computer software, especially in healthcare.

Most software engineering students enter the professional world right after graduation, but some continue their studies in advanced software engineering programs.

Job titles of recent software engineering graduates include:

  • Software Engineer
  • Software Architect
  • Software System Project Manager
  • Software Project Team Leader

Visit the Drexel Steinbright Career Development Center page for more detailed information on co-op and post-graduate opportunities.

3675 Market Street

In March 2019, the College of Computing & Informatics relocated to 3675 Market. For the first time in the College's history, all CCI faculty, students and professional staff are housed under one roof. Occupying two floors in the brand new uCity Square building, CCI's new home offers state-of-the-art technology in our classrooms, labs, meeting areas and collaboration spaces. 3675 Market offers Class A laboratory, office, coworking, and convening spaces. In fall 2019, the College will open a third floor which will include additional offices, classrooms, a research lab, a maker space, and a ground-breaking DXC Technology Innovation Lab. Located at the intersection of Market Street and 37th Street, 3675 Market will act as a physical nexus, bridging academic campuses and medical centers to the east and south, the commercial corridors along Market Street and Chestnut Street, and the residential communities to the north and west.

The uCity Square building offers:

  • Speculative lab/office space
  • World-class facilities operated by CIC
  • Café/restaurant on-site
  • Quorum, a two-story, 15K SF convening space and conference center
  • Adjacent to future public square
  • Access to Science Center’s nationally renowned business acceleration and technology commercialization programs

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 three physical locations, including W. W. Hagerty 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 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.

CCI Commons

Located on the 10th floor of 3675 Market Street, the CCI Commons is an open lab and collaborative work environment for students. It features desktop computers, a wireless/laptop area, free black and white printing, and more collaborative space for its students. Students have access to 3675 Market's fully equipped conference room with 42” displays and videoconferencing capabilities. The CCI Commons provides technical support to students, faculty, and professional staff. In addition, the staff provides audio-visual support for all presentation classrooms within 3675 Market. Use of the CCI Commons 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 CCI Commons 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 CCI Commons 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 CCI Commons, 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.

CCI Learning Center

The CCI Learning Center (CCILC), located in 3675 Market Street's CCI Commons student computer lab, provides consulting and other learning resources for students taking computer science classes. The CCILC is staffed by graduate and undergraduate computer science students from the College of Computing & Informatics.

The CCILC and CCI Commons serve as a central hub for small group work, student meetings, and TA assistance. 

Research Laboratories

The College houses multiple research labs, led by CCI faculty, in 3675 Market Street including: the Drexel Health and Risk Communication Lab, Interactive Systems for Healthcare, Socio-Technical Studies Group, Intelligent Information & Knowledge Computing Research Lab, Evidence-based Decision Making Lab, Applied Symbolic Computation Laboratory (ASYM), High Performance Computing Laboratory (SPIRAL), Drexel Research on Play (RePlay) Laboratory, Software Engineering Research Group (SERG), Social Computing Research Group, 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.


The College of Computing & Informatics works continually to improve its degree programs. As part of this effort, the software engineering degree is evaluated relative to the following Objectives and Outcomes.

Program Educational Objectives

Within three to five years of graduating, alumni of the program are expected to achieve one or more of the following milestones:

  • Graduates of the program obtain employment as software developers, where their software and communication skills eventually propel them toward technical and administrative leadership positions in industry and government.
  • Graduates of the program demonstrate an ability to continue to learn throughout their career and to keep pace with changing technology as appropriate to their positions.
  • Graduates of the program specialize and enhance their software engineering knowledge by enrolling and completing technical graduate courses and other technical education to position them to advance software engineering practice as senior technical staff members or managers.
  • Graduates of the program specialize and enhance their software engineering knowledge by enrolling and graduating from MSc and PhD degree programs to position them to contribute to the intellectual foundations of the discipline of software engineering as researchers in industrial and government laboratories as well as in academia.
  • Graduates of the program advance toward becoming leaders in disciplines other than software engineering by enrolling and graduating from graduate-level degree programs in complimentary disciplines such as law and business, where the BSSE serves as an educational foundation.
  • Graduates of the program will demonstrate an awareness of their professional and social responsibility as software engineers by participation in professional activities and application of their knowledge for the good of society.

Software Engineering Student Outcomes

The program enables students to attain by the time of graduation:

  • An ability to apply knowledge of mathematics, science and engineering
  • An ability to design and conduct experiments, as well as to analyze and interpret data
  • An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability
  • An ability to function on multidisciplinary teams
  • An ability to identify, formulate and solve engineering problems
  • An understanding of professional and ethical responsibility
  • An ability to communicate effectively
  • The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental and societal context
  • A recognition of the need for, and an ability to engage in life-long learning
  • A knowledge of contemporary issues
  • An ability to use the techniques, skills and modern engineering tools necessary for engineering practice.

Computing & Informatics Faculty

Denise E. Agosto, PhD (Rutgers, The State University of New Jersey). Professor. Youth information behaviors, public libraries, multicultural issues in youth library services, and qualitative research methods.
Yuan An, PhD (University of Toronto, Canada) Director of International Programs. 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) 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
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) BSCST Program Director. Associate 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.
M. Carl Drott, PhD (University of Michigan). Associate Professor. Systems analysis techniques, web usage, competitive intelligence.
Andrea Forte, PhD (Georgia Institute of Technology) PhD Program Director, and MS in Information Program Director. 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
Peter Grillo, PhD (Temple University) Associate Department Head for Undergraduate Affairs, Information Science. Teaching Professor. Strategic applications of technology within organizations.
Jeremy R. Johnson, PhD (Ohio State University). Professor. Computer algebra; parallel computations; algebraic algorithms; scientific computing.
Xia Lin, PhD (University of Maryland) Department Head, Information Science. 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) The Auerbach Berger Chair in Cybersecurity Distinguished Professor of Computer Science. 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.
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
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. Digital curation, archives and records management, digital humanities, and diversity, inclusivity, and equity.
Jeffrey L. Popyack, PhD (University of Virginia). Professor. Operations research, stochastic optimization, computational methods of Markov decision processes; artificial intelligence, computer science education.
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). 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.
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. Case-based reasoning, explainable artificial intelligence, machine learning, textual analytics, natural language understanding, language models, recommender systems, technological aspects of knowledge management, project management, and requirements engineering.
Erija Yan, PhD (Indiana University). Assistant Professor. Network Science, information analysis and retrieval, scholarly communication methods and applications.

Emeritus Faculty

Michael E. Atwood, PhD (University of Colorado). 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.
Delia Neuman, PhD (The Ohio State University). Professor Emerita. Learning in information-rich environments, instructional systems design, the use of media for learning, and school library media.
Gerry Stahl, PhD (University of Colorado). 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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