Software Engineering

Major: Software Engineering
Degree Awarded: Bachelor of Science in Software Engineering (BSSE)
Calendar Type: Quarter
Total Credit Hours: 188.0
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 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
Information Systems Requirements
INFO 210Database Management Systems3.0
INFO 310Human-Computer Interaction II3.0
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
CS 472Computer Networks: Theory, Applications and Programming3.0-4.0
or INFO 330 Computer Networking Technology I
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 Requirements21.0
Select one of the following lab science sequences:
Cells and Genetics
and Evolution & Organismal Diversity
and Physiology and Ecology
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
Science electives (see below)
Arts & Humanities Requirements
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
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)3.0-4.0
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 Development0.0
Free Electives13.0-18.0
Total Credits188.0

Program Electives

  • Computing & Informatics electives: any non-required CS, INFO, SE course numbered 300 or higher except CS 350 or CS 451
  • Science electives: any CHEM (except 111, 112, 113, 114, 151), BIO (except 161, 162, 163; can take only one of BIO 100, BIO 107, BIO 122; can take only one of BIO 101, BIO 109, BIO 124), PHYS (except 050, 100, 103, 104, 105, 106, 121, 122, 151, 160, 305, 306, 307, 324, 405; cannot take both PHYS 131 and PHYS 181), ENVS, PHEV.  Cannot take NFS courses.
  • Business electives: any ACCT, BLAW, BUSN, ECON, ENTP, FIN, HRMT, INTB, MGMT, MIS, MKTG, OPM, OPR, ORGB, STAT, TAX
  • Social Studies electives: any AFAS, ANTH, HIST, GST, JUDA, PSCI, PSY (except 330, 332, 337, 364, 365), SOC (except 364, 365), WGST
  • Arts & Humanities electives: any ARCH, ARTH, CMGT, CJS, COM, CULA, DANC, EDEX, EDUC, ENGL (except 101, 102, 103, 105), ESTM, FASH, FMVD, INTR, LING, MUSC, PHIL, PHTO, THTR, VSCM, VSST, WRIT, Foreign Language courses as defined by the College of Arts and Sciences, and GMAP 260, ANIM 140, ANIM 141, ANIM 152, ANIM 211, ANIM 212

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 Center. 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. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.


Sample Plan of Study

5 YR UG Co-op Concentration

5 YR UG Co-op Concentration

Term 1Credits
CI 101Computing and Informatics Design I2.0
CS 164Introduction to Computer Science3.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
MATH 121Calculus I4.0
UNIV CI101The Drexel Experience1.0
Science lab4.0
 Term Credits17.0
Term 2
CI 102Computing and Informatics Design II2.0
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development0.0
CS 171
or 175
Computer Programming I
Advanced Computer Programming I
3.0
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
MATH 122Calculus II4.0
Science lab4.0
 Term Credits17.0
Term 3
CI 103Computing and Informatics Design III2.0
CS 172
or 176
Computer Programming II
Advanced Computer Programming II
3.0
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
MATH 123Calculus III4.0
UNIV CI101The Drexel Experience1.0
Science lab4.0
 Term Credits17.0
Term 4
COM 230Techniques of Speaking3.0
CS 265Advanced Programming Tools and Techniques3.0
CS 270Mathematical Foundations of Computer Science3.0
SE 210Software Specification and Design I3.0
Science elective 3.0
 Term Credits15.0
Term 5
CS 260Data Structures3.0
INFO 210Database Management Systems3.0
MATH 221Discrete Mathematics3.0
SE 211Software Specification and Design II3.0
Science elective 3.0
 Term Credits15.0
Term 6
COM 310 [WI] Technical Communication3.0
CS 281Systems Architecture4.0
PSY 101General Psychology I3.0
SE 310Software Architecture I3.0
STAT 201Introduction to Business Statistics4.0
 Term Credits17.0
Term 7
CS 283Systems Programming3.0
SE 311Software Architecture II3.0
STAT 202Business Statistics II4.0
Science elective 3.0
Free elective 3.0
 Term Credits16.0
Term 8
INFO 420Software Project Management3.0
PHIL 105Critical Reasoning3.0
SE 320Software Verification and Validation3.0
Computing & Informatics elective3.0
Free elective 3.0
 Term Credits15.0
Term 9
INFO 310Human-Computer Interaction II3.0
PHIL 311Ethics and Information Technology3.0
SE 410Software Evolution3.0
Computing & Informatics elective3.0
Free elective 3.0
 Term Credits15.0
Term 10
CI 491 [WI] Senior Project I3.0
INFO 330
or CS 472
Computer Networking Technology I
Computer Networks: Theory, Applications and Programming
4.0
Select one of the following:4.0
Accounting for Professionals 
Principles of Microeconomics 
Principles of Macroeconomics 
Computing & Informatics elective3.0
Free elective 2.0
 Term Credits16.0
Term 11
CI 492 [WI] Senior Project II3.0
PSY 330Cognitive Psychology3.0
Select one of the following:4.0
Accounting for Professionals 
Principles of Macroeconomics 
Principles of Microeconomics 
Computing & Informatics electives6.0
 Term Credits16.0
Term 12
CI 493 [WI] Senior Project III3.0
Computing & Informatics elective3.0
Arts & Humanities elective3.0
Free elective3.0
 Term Credits12.0
Total Credit: 188.0

Minor in Software Engineering

The Software Engineering minor is available to all University students in good standing, with the exception of Software Engineering majors.

Prerequisites

One of the following Mathematics sequences must be completed before entering the program:

Requirements

CS 171Computer Programming I3.0
or CS 175 Advanced Computer Programming I
CS 172Computer Programming II3.0
or CS 176 Advanced Computer Programming II
CS 260Data Structures3.0
CS 265Advanced Programming Tools and Techniques3.0
SE 210Software Specification and Design I3.0
SE 310Software Architecture I3.0
or CS 350 Software Design
SE 320Software Verification and Validation3.0
Select one of the following:3.0
Software Specification and Design II
Software Architecture II
Software Evolution
Total Credits24.0

Note: No more than 9.0 credits from a student's major may be used to fulfill the minor requirements. Students who, because of this rule, require additional credits to reach 24.0 total credits may select from the following courses as needed:

INFO 210Database Management Systems3.0
INFO 310Human-Computer Interaction II3.0
INFO 355Systems Analysis II3.0
INFO 420Software Project Management3.0

Accelerated Degrees

The College of Computing & Informatics offers several accelerated degree programs designed to allow students to complete both a bachelor’s degree and a graduate degree along with cooperative educational experience in fewer years than would be typical if pursuing the degrees separately.

Students accepted in this program can combine any of the Computing and Informatics bachelor's and master's degree programs as well as other options:

  • Any CCI BS/any CCI MS Accelerated Degree (BS & MS in five years, including 2 Co-ops)
  • Any CCI BS /MBA Accelerated Degree (BS/MBA) (BS & MBA in four years, including 1 Co-op option only)
  • Any CCI BS/JD Accelerated Degree (BS/JD)

For more information on the criteria for entering this program, visit the BS/MS Accelerated Degree page on the Drexel website.

For more information on how to apply for the BS/MS Accelerated Degree program, please visit the College of Computing & Informatics' website.

Co-op/Career Opportunities

Co-Op Options

Three co-op options are available for this program:

  • 5-year/3 co-op
  • 4-year/1 co-op
  • Accelerated Degree: 5-year/2 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 186,600 new jobs by 2024. 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.

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 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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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:

  1. An ability to apply knowledge of mathematics, science and engineering
  2. An ability to design and conduct experiments, as well as to analyze and interpret data
  3. 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
  4. An ability to function on multidisciplinary teams
  5. An ability to identify, formulate and solve engineering problems
  6. An understanding of professional and ethical responsibility
  7. An ability to communicate effectively
  8. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental and societal context
  9. A recognition of the need for, and an ability to engage in life-long learning
  10. A knowledge of contemporary issues
  11. An ability to use the techniques, skills and modern engineering tools necessary for engineering practice.

Additional Information

The Software Engineering program is accredited by the Engineering Accreditation Commission (EAC) of ABET.

To view the latest BS in Software Engineering program enrollment numbers, please click here.

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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