Teaching
Teaching Interests
Data Science
Information Systems, Information Systems in Libraries, Healthcare Information Systems
Information Architecture
HCI, UX, User Interface Design, Interaction Design
Information Organization
Courses Taught
LSC525: User Interface Design and Evaluation / HIT 873: Human-Computer Interaction
Elective Course (3 Credits)
2014 (Spring), 2015 (Spring), 2016 (Fall)
This course explains how to use design and evaluation techniques to develop successful user interfaces for information systems and other interactive technologies. Students will develop an understanding of the cognitive principles and social issues that affect human-computer interaction. Topics covered include: understanding users and interaction, design strategies, iterative prototyping, formative and summative evaluation, and usability testing. Through a team project, students will apply and refine their knowledge. They will prototype and evaluate the design of a user interface for a real-world system.
This course focuses on interactive design - on developing user interfaces that support people in their everyday and working lives. Students will gain knowledge and skills that will help them advocate for improved user interfaces for library catalogs, digital archives/libraries, web applications and more.
Elective Course (3 Credits)
2018 (Spring), 2019 (Fall), 2020 (Fall), 2021 (Fall), 2022 (Fall)
This is an introduction course to provide foundations in the area of data science with discussion on methods, concepts and opportunities in Data Science. Students will learn foundational data analytics concepts and techniques through recent work and publications as well as projects. Topics of the course include types of datasets, data management and processing, methods for data analysis including machine learning and data mining, data visualization, and issues around data including ethics and policy. The course will combine theoretical foundations with implementation and evaluation of data analysis algorithms on real data.
Core Course (3 Credits)
2011 (Spring, Fall), 2012 (Spring), 2013 (Spring), 2016 (Spring), 2017 (Spring, Fall), 2018 (Fall), 2019 (Fall), 2020 (Summer, Fall), 2022 (Summer), 2023 (Spring)
This course introduces students to the theory, principles, standards, and methods of information organization. Through lectures, discussions and hands-on practice students learn to provide intellectual and physical access to information objects. Topics covered include information architecture, user information needs and behaviors, tools for information access, principles of information representation, metadata schemas, controlled vocabulary, folksonomy, classification, taxonomy, encoding standards, bibliographic networks, applications of technologies in information organization, and design of information systems to facilitate access and retrieval.
Core Course (3 Credits)
2012 (Fall), 2013 (Spring), 2014 (Spring, Fall), 2016 (Spring, Fall), 2017 (Spring), 2018 (Spring, Fall), 2020 (Spring), 2021 (Spring, Summer, Fall), 2022 (Spring), 2023 (Summer)
This course introduces students to the evolving role of information systems in the storage and retrieval of information. Students explore how information technology in libraries, archives and information centers, and on the World Wide Web facilitates interaction with information. This course is designed to: Introduce students to applicable theory, principles, and standards; explore the capabilities and functions of several classes of information systems, including established technology like integrated library systems (ILS) and databases as well as evolving social and collaborative environments; introduce essential technology elements (hardware, software, networking, etc.); introduce practical information technology skills used by information professionals, such as working with databases and creating and publishing web pages; and promote critical thinking, problem solving and collaborative teamwork abilities for working with information technology.
Elective Course (3 Credits)
2020 (Fall), 2021 (Fall)
Information professionals encounter a variety of data in Extensible Markup Language (XML) and JavaScript Object Notation (JSON). From finding aids to APIs (Application Programming Interfaces), metadata, catalogs, and social media archives, these textual data formats have become commonplace. This course will teach students to manage, interpret, and display XML and JSON using JavaScript. Students will learn how to query and serve structured data on the web through in-class presentations, workshops, and student projects. The course will have an emphasis on practical uses of web-based data in information settings through demonstrations and examinations of case studies.
Elective Course (3 Credits)
2022 (Fall), 2023 (Fall)
This course provides an overview of current metadata standards used in the library, archives, and museum communities and discusses issues relating to metadata services, interoperability, quality control and evaluation, and project planning and management. The course applies principles of information organization to organize digital resources for access, and compares selected metadata standards and examines how libraries, archives, government agencies, and museums apply metadata schemas and manage projects to make digital resources available to users.
Elective Course (3 Credits)
2020 (Spring)
This course is designed for the student who wishes to develop advanced skills in using state-of-the-art information retrieval and analysis tools to locate and deliver information to meet specific information needs. It covers the theory and practice of information storage and retrieval; advanced techniques for identification and selection of sources; construction of search strategies; and the evaluation and post-processing of search results. Both open sources, such as web search engines, and commercial fee-based content collections are covered. While text- and document-based retrieval is emphasized, retrieval of images and other forms of information are also explored. The comparison and assessment of content collections and retrieval functionality are also addressed.
Former LSC610, Elective Course (3 Credits)
2012 (Spring), 2013 (Spring, Fall), 2014 (Spring, Fall), 2015 (Spring), 2016 (Spring), 2017 (Spring), 2019 (Fall), 2020 (Spring), 2021 (Spring), 2022 (Spring), 2023 (Spring)
This course is designed for students interested in developing skills for web site and web page design. It will cover search engine architecture, evaluation of information resources and applications of information architecture to web site design. Through exercises, discussions, lectures, projects and presentations students will learn the principles of information architecture and user-centered Web design. In addition, students will have hands-on practice with web site and web page design with HTML and Dynamic HTML. They will use HTML editors and graphic tools.
Elective Course (3 Credits)
2015 (Fall), 2017 (Fall)
This course introduces the concepts and techniques for developing Web-based applications. Emphasis is placed on programming techniques and the basics of database technology required for designing Web-based application interface and managing data on the Web. Students will learn the basics of a computer programming language through hands-on exercises and projects that can be applied in digital libraries, metadata management, web technologies, data processing, and data science.
LSC694: Independent Study
Elective Course (3 Credits)
Opportunity for concentrated study in a subject or problem to meet a student's special need or interest, under the direction of a member of the full-time faculty. Before registration, the topic for study must be approved by the instructor involved. One to three credit hours, commensurate with the scope of the study. Permission may be granted to take two independent study courses in one semester. A maximum of seven hours of independent study may be taken as part of the M.S. in L.S. program.
2015 (Fall): Big Data Analysis and GIS
2016 (Fall): Pragmatism and Folksonomy
HIT573: Information Systems in Health Care
Core Course (3 Credits)
2012 (Fall), 2013 (Fall), 2015 (Fall)
The purpose of this course is to introduce students to the application of information technology to health care information systems and health care organizations. The course provides an overview of four major components of this domain, which are (1) Health Care Information (2) Health Care Information Systems (3) Information Technology and (4) IT Management Challenges. Students are encouraged to think about the "How" and the "What" of health care information technology systems. The "How" refers to technology that supports health care information systems: data, standards, interoperability, data exchange and re-use, preservation, access, discovery, security, and privacy of clinical data/information (EMR or EHR). The "What" refers to an introduction to the types of health care information data (clinical administrative and combination) and data/information quality. The course provides a historical context for health information systems or data stores and how health care organizations and professionals use these systems to deliver patient care, conduct clinical research or manage the economics of health care. At the intersection of the "How" and "What" the course introduces students to the life cycle and implementation of health care information systems, government regulation and IT challenges that are faced by senior management health care administrators and technologists. Finally the course provides the health information science student with an introduction to e-science, cyber-infrastructure for data driven science and the evolution of scholarly communication and publishing.