Information Science & Systems

Courses

INFO 501 Information Professionals, Resources, and Services 3.0 Credits

This course introduces the social, ethical, cultural, and legal issues that affect information professionals and organizations. It studies the structure and components of the information professions and the evolving role of information professionals. It also introduces the principles and practices of providing effective information services for a variety of user communities. It develops practical skills in meeting users’ information needs.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 507 Leading and Managing Information Organizations 3.0 Credits

Introduces basic theories, approaches, and concepts of leadership, management, and organizational behavior as they apply to libraries, archives, and other information organizations. The course explores principles, practices, and techniques needed to develop and enrich effective information organizations.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 508 Information Innovation through Design Thinking 3.0 Credits

This introductory course provides an overview of basic phases of design processes for students in information disciplines. Design thinking is a way of engaging with the world that emphasizes creativity and constructive change; students will learn about techniques for several key design practices: empathizing with others, framing a problem, ideation, experimentation, and storytelling. By applying these techniques in a variety of contexts related to information, students will practice innovation in the information professions with an emphasis on understanding the social implications of potential innovations.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 509 Information & Social Justice 3.0 Credits

This course explores key concepts of social justice, such as privilege, power, marginality, and intersectionality, and their relationship to information and information systems. It encourages students to think critically about the impacts of information technologies on society and on diverse social groups and prepares students for professional response to information-based inequity and injustice.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 517 Principles of Cybersecurity 3.0 Credits

Provides the foundation for understanding the key issues associated with protecting information assets, determining the levels of protection and response to security incidents. Presents a general overview and is suitable for individuals with little exposure to IT security.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 532 Software Development 3.0 Credits

Provides a hands-on introduction to software development. Includes programming concepts and a series of programming exercises done by students working in pairs or in small groups. Also covers general concepts and issues in software development to help students understand why creating high quality software is very difficult.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 540 Perspectives on Information Systems 3.0 Credits

Examines various types of information systems and the ways in which these systems support activities of individuals and organizations. Investigates application architectures that occur commonly in information systems. Provides an overview of knowledge domains that comprise the information systems discipline.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 547 Design Thinking for Digital Community Service 3.0 Credits

This course pairs one LIS student and one library or other information organization paraprofessional to work together to identify a community-based digital information need. Student pairs also design collaborative programs to address identified needs. Course delivery takes the form of a side-by-side community-based learning (CBL) to foster understanding of community needs assessment and methods for developing effective information services to meet community-specific needs.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 552 Introduction to Web Design for Information Organizations 3.0 Credits

Introduction to creating websites that incorporate interactive web services to support users in information organizations. Students learn to establish websites that meet usability, accessibility and intellectual property standards, via composition of text and graphic files, and use of scripts for interactive application to support community information resource needs.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 560 Introduction to Archives I 3.0 Credits

Provides an introduction to the theory and practice of archives, including an overview relating to the elements of an archival program and the role and work of archivists. Focuses on the functions of the archives, such as acquisition, appraisal, arrangement and description, preservation, reference, outreach, and technology in archives.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 561 Introduction to Archives II 3.0 Credits

Continues the introduction to archival theory and practice begun in Introduction to Archives I. Provides additional depth in several areas, including appraisal, arrangement and description, focusing on model and standards. Addresses legal, ethical, cultural, and political issues as well as the range of historical and contemporary archival formats.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 590 Foundations of Data and Information 3.0 Credits

Introduces and explores principles, techniques, and theoretical contexts of data, information, and digital content across a range of settings. Addresses organizing practices and knowledge, and implications for back-end system functionality, and front-end user access. Addresses existing and emerging data standards and tools applicable to data and information, as well as social and economic aspects, services, and future boundaries and contexts for data and information. Specific topics include information structures and standards, representation, metadata, knowledge organization, classification, linked data, network analysis, interface design, and AI implications.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 591 Data and Digital Stewardship 3.0 Credits

Examines traditional and emerging approaches to data management, data curation, and data service across the full range of information organizations (including, libraries, archives, museums, data centers, software industries, etc.). Introduces foundations of data infrastructures and data representation in all the activities related to care and management of digital objects over their lifecycles. Discusses methods and issues related to accessibility, security, preservation, privacy and ethics of using and managing digital records.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 590 [Min Grade: C] or INFO 522 [Min Grade: C]

INFO 600 Web Systems & Architecture 3.0 Credits

This course presents the fundamentals of data communications and software architectures for distributed computing technologies. It introduces students to key web systems technologies and architectures, including hardware configurations, HTTP, HTML, XML-based data standards and other major software components.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 540 [Min Grade: C] (Can be taken Concurrently) or INFO 590 [Min Grade: C] or CS 502 [Min Grade: C] or INFO 532 [Min Grade: C]

INFO 605 Database Management Systems 3.0 Credits

A first course in database management systems. Covers a broad introduction to database management issues, techniques, and systems. Topics to be covered include database issues, evolution and landscapes of database systems, relational databases, database systems lifecycles, database analysis and design using the Entity-Relationship model, SQL, indexes, views, security, and transaction concepts. Emphasizes concepts and techniques related to relational database systems and hands-on experience in creating, using, and querying simple database applications using SQL.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 606 Advanced Database Management 3.0 Credits

An advanced course for database professionals. Focus on data engineering aspects of relational database systems. Topics include advanced database design techniques using the Entity-Relationship Model, normalization and denormalization, Security and Database Administration, advanced query processing techniques using SQL, and database application developments using PL/SQL procedures, functions, triggers, and packages.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 605 [Min Grade: C]

INFO 607 Applied Database Technologies 3.0 Credits

Covers principles, techniques, and database systems related to managing big data. Topics to be covered include business intelligence, data warehousing, online analytic processing (OLAP), ETL, big data architectures, and hands-on experience in managing unstructured data management using a NoSQL database.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 605 [Min Grade: C]

INFO 608 Human-Computer Interaction 3.0 Credits

Focuses on the physiological, psychological and engineering basis of design and evaluation of human-computer interfaces covering such topics as; theoretical foundation of HCI; cognitive modeling of user interactions; task analysis techniques for gathering design information; iterative design cycles; formative and summative usability testing; and project planning and report writing.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 609 Accessible and Inclusive Design 3.0 Credits

Introduces students to the methods, standards, and principles for designing and evaluating interactive technologies for diverse users. Focuses on people not typically considered in technology design, including people with disabilities, children, the elderly, women, and people from other vulnerable populations. Offers students hands-on experience in designing and evaluating technologies for a broad spectrum of users, and invites students to reflect on the role of design in shaping a just society. Covers models of disability, assistive technology, universal design, accessible visual design, and web accessibility standards. Additional topics may include localization, technology and mental health, feminist HCI, technological racism, and related issues.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 508 [Min Grade: C], DSRE 620 [Min Grade: C], INFO 608 [Min Grade: C] (Can be taken Concurrently)

INFO 612 Knowledge-based Systems 3.0 Credits

Focuses on methods, sources, and uses of knowledge, knowledge representation, and knowledge engineering (e.g., elicitation) within artificial intelligence (AI) agents and applications. This course educates students on various knowledge-based approaches such as ontologies, reasoning methods, cognitive architectures, and on the incorporation of knowledge into data-centric methods such as neuro-symbolic systems.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 620 [Min Grade: C] or CS 501 [Min Grade: C] or CS 570 [Min Grade: C]

INFO 615 Designing with Data 3.0 Credits

Although user experience design has always involved collecting data about users’ needs and preferences, new forms and quantities of user data have created a need for new data analysis skills and professional ethics training among designers. This class introduces students to A/B testing and statistical methods to prepare them to design and run large scale user experiments that can inform design decisions. Students practice using tools and methods as well as composing experiment reports and design recommendations.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 508 [Min Grade: C], INFO 608 [Min Grade: C], DSRE 620 [Min Grade: C] (Can be taken Concurrently)

INFO 616 Social and Collaborative Computing 3.0 Credits

Surveys theory and research literature on socio-technical issues and concepts in computer-supported cooperative work and social computing. Covers topics such as group work in collocated, distributed, and domain-specific contexts; design, implementation and evaluation of collaborative software; social media and online communities; computer-supported collaborative learning and community-learning technologies; and future directions of collaborative and social computing.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 608 [Min Grade: C], INFO 508 [Min Grade: C], DSRE 620 [Min Grade: C] (Can be taken Concurrently)

INFO 620 Information Systems Analysis and Design 3.0 Credits

Offers an advanced treatment of systems analysis and design with special emphasis on object-oriented analysis and design techniques based on the Unified Modeling Language (UML). Discusses major modeling techniques of UML including use-case modeling, class modeling, object-interaction modeling, dynamic modeling and state diagrams and activity diagrams, subsystems developments, logical design, and physical design.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 623 Social Network Analytics 3.0 Credits

The goals of this course are to understand the social network analysis methods and how they can be applied in studying the social network properties in both online and physical environments. The course introduces the knowledge and tools necessary for conducting social network analysis which is widely used in the social and behavioral sciences, social computing, economics, marketing, and informatics. The social network perspective focuses on relationship among social entities. It covers graph and matrix representation, centrality and prestige measures, cohesive analysis, positional and role analysis. Students gain practical experience with social network analysis and visualization tools.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 624 Information Retrieval Systems 3.0 Credits

Covers the theoretical underpinnings of information retrieval to provide a solid base for further work with retrieval systems. Emphasizes systems that involve user-computer interaction. Covers aspects of information retrieval including document selection, document description, query formulation, matching, and evaluation.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 540 [Min Grade: C], DSCI 511 [Min Grade: C], DSCI 521 [Min Grade: C] (Can be taken Concurrently) or INFO 590 [Min Grade: C] or CS 502 [Min Grade: C]

INFO 629 Applied Artificial Intelligence 3.0 Credits

Artificial intelligence (AI) is a computing field of study dedicated to the design and development of algorithms that perform complex tasks allowing computers to reason, perceive, act, and react. This course educates students to master concepts such as which problems can be solved by AI methods, how to associate AI methods with problems and complex tasks, make informed decisions on which method is the most suitable, and analyze new methods in the literature. Mastering these concepts allows students to assess a problem context and propose adequate strategies for AI applications. The methods whose applications we discuss include neural networks, deep learning, knowledge-based methods, search algorithms, in problem contexts such as biomedical, manufacturing, driverless cars, etc.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 620 [Min Grade: C] or CS 501 [Min Grade: C] or CS 570 [Min Grade: C]

INFO 633 Information Visualization 3.0 Credits

Introduces concepts and principles of information visualization from both theoretical and practical perspectives. Emphasizes the development of critical thinking and problem solving abilities in the context of information visualization. Provides exposure to current information visualization tools.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 634 Data Mining 3.0 Credits

This course introduces the concepts and principles of knowledge discovery in databases (KDD), with a focus on the techniques of data mining and its function in business, governmental, medical or other information-intensive environments.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: DSCI 511 [Min Grade: C], DSCI 521 [Min Grade: C] (Can be taken Concurrently) or INFO 605 [Min Grade: C]

INFO 646 Information Systems Management 3.0 Credits

Addresses information technology-enabled change and policy issues in the management of information systems (IS). Stresses systems development, staffing and organization, technology infrastructure, project selection, justification and funding, and data. Studies the issues and their resolution in the context of an IS plan. Emphasizes communication about the issues to senior management.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 620 [Min Grade: C]

INFO 648 Healthcare Informatics 3.0 Credits

The course presents an overview of all aspects of healthcare informatics, including medical, nursing and bioinformatics. It provides an introduction to the applications of information systems in a variety of healthcare environments, including education, research and clinical settings. It includes extensive reading and critical discussion of relevant professional research literature.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 649 Library Programming 3.0 Credits

Provides an overview of the broad range of cultural, educational, and social library programming initiatives available for children, adolescents, and adults in academic libraries, public libraries, and school library media centers. Teaches community analysis, planning and evaluation. Emphasizes the collaborative nature of developing and implementing library programs.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 650 Public Library Service 3.0 Credits

Surveys information services provided through public libraries, with attention to governmental and funding issues, determinants of use, extending services to non-users, and cooperation among libraries.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 651 Academic Library Service 3.0 Credits

Examines the role of library service in higher education, with emphasis on problems of organization, administration, services, and the relationship of the library to the overall educational program.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 652 Information Behavior 3.0 Credits

An understanding of how people search for, share, create, evaluate, and even avoid information is fundamental to effective information services. This course introduces students to core concepts of information behavior and information practice and surveys research related to the information needs, seeking, and use of a wide range of information user groups.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 655 Intro to Web Programming 3.0 Credits

Provides an up-to-date, hands-on workshop in programming for web-based systems. Covers fundamental modern web programming concepts. Topics include component-based reactive interface design, functionality hooks, contemporary programmatic design, and interfacing with large-scale web-based data sources.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 532 [Min Grade: C] or INFO 552 [Min Grade: C] or INFO 600 [Min Grade: C]

INFO 657 Digital Library Technologies 3.0 Credits

Introduces technologies that enable the design and implementation of digital libraries. Focuses on hands-on activities relating to content description technologies (such as XML) systems technologies, and user interface technologies. Students learn through building components of digital libraries collaboratively.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 552 [Min Grade: C] or INFO 540 [Min Grade: C] or INFO 590 [Min Grade: C]

INFO 659 Introduction to Data Analytics 3.0 Credits

Provides an overview of data analytics foundations and techniques for information professionals. Introduces fundamental concepts and theories of data and data science. Discusses methods and techniques of data representation, data analysis, and data visualization. Covers a range of tools and systems that can be used to discover insight and derive values from data.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: DSCI 511 [Min Grade: C], DSCI 521 [Min Grade: C] (Can be taken Concurrently) or INFO 540 [Min Grade: C] or INFO 590 [Min Grade: C] or INFO 648 [Min Grade: C]

INFO 660 Cataloging and Classification 3.0 Credits

Introduces and provides intensive practice in the fundamentals of library cataloging and classification with primary focus on modern printed materials, but also includes reference to other media. Instruction on critical reading, interpretation, and use of current professional standards and documentation for the creation of MARC records. Encompasses discussion of relevant historical and theoretical issues in the construction of contemporary bibliographic databases.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 662 Metadata and Resource Description 3.0 Credits

Introduces the critical roles played by metadata for resource description and discovery. Provides instruction on application and implementation of current metadata schemes and tools. Provides practice in creating metadata records, analyzing the usage of metadata elements and vocabulary schemes, and evaluating the metadata quality of digital repositories.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 665 Collection Management 3.0 Credits

Introduces the basic steps of collection management, including community analysis, planning, policy preparation, selecting & acquiring materials, evaluating, preserving and publicizing collections. Explores a variety of related issues, including the impact of user expectations, publishing trends, electronic access, resource sharing, and outsourcing, on collection management.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 670 Cross-platform Mobile Development 3.0 Credits

Introduces students to mobile application development using state-of-the-art cross-platform technologies. Focuses on the concepts of component-based reactive programming and practices of web-based frameworks for creating mobile apps. Emphasizes the front-end design and development with integration of server APIs. Addresses related design patterns, frameworks, and team processes in the mobile development workflow.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 655 [Min Grade: C] or INFO 600 [Min Grade: C] or INFO 532 [Min Grade: C]

INFO 680 US Government Information 3.0 Credits

Studies the nature of United States federal government documents and techniques for their acquisition, organization, and use.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 682 Storytelling 3.0 Credits

Provides an overview of the study and practice of storytelling in face-to-face and digital environments. Familiarizes students with a wide range of print and digital storytelling resources from a variety of world cultures. Focuses on oral presentation and organization skills.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 683 Resources for Children 3.0 Credits

Acquaints prospective professionals with the resources published for use by and with children in grades K to 8. Provides an opportunity to develop basic standards for evaluation of resources. Includes recent research concerning children and the central role of resources in the development of their reading/viewing/listening interests and tastes.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 684 Resources for Young Adults 3.0 Credits

Acquaints prospective professionals with the materials intended for use by and with young adults. Provides an opportunity to develop basic standards for evaluation of materials and to learn about recent research concerning young adults and their information needs, reading interests, tastes, and development.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 687 Issues in Information Literacy 3.0 Credits

This course covers two broad topics: 1) the concept of information literacy and related key issues such as information accuracy, authenticity, privacy, and how information evolves in online environments; and 2) how people learn—basic learning theories, approaches, and preferences that can be applied in a variety of information contexts, such as public libraries, academic libraries, special libraries, corporations, and government entities.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 690 Understanding Users: User Experience Research Methods 3.0 Credits

This course introduces common user experience (UX) research methods that designers use to inform, generate, and test design ideas. Students will learn about and practice a series of research methods such as interviewing, field studies, focus groups, card sorting, and surveys, to understand users’ needs, preferences, and experiences with computing systems. Students will learn about how different data collection techniques serve different purposes in the design process and select or adapt appropriate methods to meet their needs.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 508 [Min Grade: C], INFO 608 [Min Grade: C], DSRE 620 [Min Grade: C] (Can be taken Concurrently)

INFO 691 Prototyping the User Experience 3.0 Credits

This course introduces students to prototyping techniques and tools for a range of user experience and design contexts. Students will learn about and practice a series of methods such as sketching, wire-framing, physical prototyping, functional prototyping, and wizard-of-oz approaches. Students will learn about how different prototyping techniques serve different purposes in the design process and select or adapt appropriate methods to meet their needs.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 508 [Min Grade: C], INFO 608 [Min Grade: C], DSRE 620 [Min Grade: C] (Can be taken Concurrently)

INFO 692 Explainable Artificial Intelligence 3.0 Credits

Machine learning (ML) are data-centric artificial intelligence (AI) methods that became popular as an approach to produce value from data. ML methods produce specific decisions that are narrow and opaque. The more mature field of interpretable ML has provided principles to the recent field of explainable AI (XAI) to produce explanations and make ML methods more transparent and to support user needs with explanations. This course will educate students on the motivations, methods, and the value of XAI. The emphasis is on approaches that help humans comprehend various facets of a ML method such as its decisions, its strengths and weaknesses, and its evaluation. The XAI methods studied are grouped in categories of perturbations, masks, gradient, propagation, intrinsic, twins, proxy, and instance attributions.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 629 [Min Grade: C] or CS 510 [Min Grade: C] or CS 613 [Min Grade: C] or CS 615 [Min Grade: C]

INFO 693 Human–Artificial Intelligence Interaction 3.0 Credits

As AI becomes more broadly embedded in technologies used by people, it is increasingly important to consider human-AI interaction design as part of the AI system development process. This class introduces the unique design challenges presented by AI. It explores questions of usability and user experience specific to AI systems, and it reflects more broadly on the relationship between humanity and emerging technologies. Students will practice skills in design, research, and writing relevant to the human side of AI. Topics include interactive system design, speculative design, algorithmic fairness, explainable AI, human augmentation/amplification, data ownership, and AI ethics. No programming experience required.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 710 Information Forensics 3.0 Credits

Focuses on the principles and practices of the forensic investigation and analysis of information in modern organizations and distributed information systems. Includes studies of information processes, events, time measurement, casual factors, information volatility, technical and procedural forensic methods, rules of evidence and case law.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 540 [Min Grade: C] or INFO 590 [Min Grade: C] or CS 502 [Min Grade: C] or INFO 517 [Min Grade: C]

INFO 712 Information Assurance 3.0 Credits

Describes how to protect an organization's information resources and assets within national and international context. Topics include organizational policies and assurance requirements, relationships between assurance and security, and information assurance planning assessment and management.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: DSCI 511 [Min Grade: C], DSCI 521 [Min Grade: C] (Can be taken Concurrently) or INFO 540 [Min Grade: C] or INFO 590 [Min Grade: C] or CS 502 [Min Grade: C] or INFO 517 [Min Grade: C]

INFO 725 Information Policy and Ethics 3.0 Credits

Introduces the philosophical, conceptual, and practical fundamentals, foundations, and issues—past and present—of information policy and ethics including computing, data, and management. Foci include policies in government documents, issues relating to the practical development and implement of information policies for a variety of organizations, companies and governments, the uses and abuses of information, human moral agency in relation to new information and communication technologies, and the meaning of social responsibility in the global information society.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 731 Managing Health Informatics Projects 3.0 Credits

Introduces sociotechnical issues encountered when implementing informatics projects in diverse health-related settings. Students apply concepts and skills relevant to scoping, planning and executing health informatics projects in organizations.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 732 Healthcare Informatics: Planning & Evaluation 3.0 Credits

Introduces planning and evaluation of healthcare infomatics applications. Through critical reading, students learn the planning and evaluation cycle and become familiar with quantitative and qualitative methods and measures. Through lectures and assignments, students select a healthcare problem, formulate a problem statement, select evaluation methods and measures and write a proposal.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 733 Public Health Informatics 3.0 Credits

Presents an overview of issues, methods and tools of public health informatics. Explores topics including knowledge management, literacy skills for the public health provider and the health consumer, public health surveillance systems, public health applications of clinical data, Geographic Information Systems (GIS), and eHealth/mHealth applications.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 648 [Min Grade: C] or PBHL 516 [Min Grade: C]

INFO 750 Archival Access Systems 3.0 Credits

Introduces students to the creation, maintenance, and evaluation of archival access systems. Covers the theoretical concepts that underlie archival description and their evolution into the current set of electronic information systems. Reviews current descriptive standards. Addresses user needs and different formats.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 755 Electronic Records Management 3.0 Credits

Presents records management theory and practice from the perspective of the archivist. Covers the transformation of the profession and its practices as it adapts to electronic record keeping. Introduced records management principles and applies them to the contemporary digital office environment. Relates records management concepts to other information management disciplines.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 756 Digital Preservation 3.0 Credits

Explores concepts, principles, and practice for preserving digital information resources. Topics include selection, organization, and access for materials in trusted repositories. Both technological and policy perspectives are addressed.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 800 Science of Science 3.0 Credits

This course provides an overview and a guided practice of Science of Science, which studies the structure and dynamics of a research field as a unit of analysis. The word science is broadly defined, including social sciences and humanities as well as natural sciences. This course introduces multiple perspectives of research and research communities. The course aims to combine relevant theories and guidelines with research activities of researchers, especially doctoral students. The course introduces relevant resources and methods to facilitate the application of corresponding research strategies and procedures.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 813 Quantitative Research Methods 3.0 Credits

Introduces research designs and methods of quantitative analysis for various problems in information systems, management of information resources, and scholarly and professional communication. Presents statistical techniques through packaged computer programs.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if program is PHD.

INFO 816 Qualitative Research Methods 3.0 Credits

Provides doctoral students with an opportunity to explore and experience qualitative research methods, tools, and techniques, with emphasis on historical, philosophical, and theoretical underpinnings of the qualitative perspective. Concerned with analysis of the social construction and reproduction of human activity. Explores interpretive research methods that try to analyze social sense-making.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if program is PHD.

INFO 821 Foundations in Information Science 3.0 Credits

This class introduces students to concepts in the theory and research of information science, including the historical foundations and evolution of the field, as well as contemporary trends in theory, major areas of study, and methods of investigation.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 823 Foundations in Human-Centered Computing 3.0 Credits

Provides an introduction to Human-Centered Computing (HCC) theories and methods that advance our understanding of the complex and tightly coupled relationships between people and computing. Students will analyze and synthesize literature, identify gaps in HCC knowledge, and practice research design that investigates not only interactions between humans and computers, but also ways that people and societies influence and are influenced by computational artifacts such as traditional computers, handheld and mobile devices, robots, and wearable computers, at scales ranging from an individual device with a single user to complex, evolving socio-technical systems.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 825 Foundations in Data Science 3.0 Credits

Develops foundations for research practice in data science (DS) through guided and collaborative literature review activities and light research reproduction efforts. Students will gain knowledge about current and emerging trends in DS research methodologies and disciplinary applications. Discusses how seminal works and student-selected research subjects and publications interact with different DS-related publishing venues, and how to align writing and presentation styles to meet diverse norms and standards of different venues. Specific readings and topics will be selected by students, who are must identify a DS-related research subject whose literature they wish to master.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 871 PhD Process and Practice 1.0 Credit

PhD Process and Practice (PPP) is a one-credit seminar offered in the Fall quarter. The course sections cover topics and skills that are necessary for success as a PhD student.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 873 Special Topics Seminar 1.0 Credit

Provides students with an opportunity to read critically and to discuss literature in the area-specific topics or methods. Aims to help doctoral students to read, discuss, and present contemporary information studies problems and research. Helps students engage in research in the covered areas.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated 2 times for 3 credits

INFO 881 HCI/UX Capstone I 3.0 Credits

This is the first quarter of the two-quarter capstone sequence, which is intended to be taken at the end of the HCI/UX master’s program. In this sequence, students initiate and complete an in-depth project in HCI/UX research and/or design. The aim of the sequence is to equip students with a resulting project that showcases their skills (e.g., a portfolio piece or publication). Through the project itself, as well as self-reflection and discussions with classmates, students will synthesize and further practice everything they have done in the HCI/UX master’s degree program as part of transitioning to their next chapter in life.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit

INFO 882 HCI/UX Capstone II 3.0 Credits

This is the second quarter of the two-quarter capstone sequence, which is intended to be taken at the end of the HCI/UX master’s program. In this sequence, students initiate and complete an in-depth project in HCI/UX research and/or design. The aim of the sequence is to equip students with a resulting project that showcases their skills (e.g., a portfolio piece or publication). Through the project itself, as well as self-reflection and discussions with classmates, students will synthesize and further practice everything they have done in the HCI/UX master’s degree program as part of transitioning to their next chapter in life.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 881 [Min Grade: C]

INFO 890 Capstone Project 3.0-6.0 Credits

The capstone course is a culminating experience that brings together all that students have learned in their degree programs. It enables them to apply what they have learned to work or to research in their intended professional fields. Projects will enable students to design work closely aligned with their own learning and professional goals.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated 1 times for 12 credits

INFO 896 Health Informatics Experience 3.0 Credits

The Health Informatics Experience capstone is a culminating experience that enables students to apply what they have learned to address a specific problem in an approved health-related environment. It may be research or practice-related. This course should be taken in the final term of the student’s program.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated 1 times for 6 credits

INFO 998 Ph.D. Research and Dissertation 1.0-12.0 Credit

Provides individual work on an approved topic leading to a doctoral dissertation in information science and technology.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated multiple times for credit
Restrictions: Can enroll if program is PHD.

INFO I599 Independent Study in INFO 0.0-9.0 Credits

Self-directed within the area of study requiring intermittent consultation with a designated instructor.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated multiple times for credit

INFO I699 Independent Study in INFO 0.0-9.0 Credits

Self-directed within the area of study requiring intermittent consultation with a designated instructor.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated multiple times for credit

INFO I799 Independent Study in Information Science & Systems 2.0-12.0 Credits

Provides individual investigation in special areas of information science and technology not regularly covered in the courses offered. Topic for study must be approved, in advance of registration, by the faculty adviser, the instructor involved, and the associate dean. May be repeated for credit if topic varies.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated multiple times for credit

INFO I899 Independent Study in Information Science & Systems 0.0-9.0 Credits

Self-directed within the area of study requiring intermittent consultation with a designated instructor.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated multiple times for credit

INFO I999 Independent Study in INFO 0.0-9.0 Credits

Self-directed within the area of study requiring intermittent consultation with a designated instructor.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated multiple times for credit

INFO T780 Special Topics in Information Science & Systems 2.0-12.0 Credits

May be repeated for credit if topic varies.

College/Department: College of Computing and Informatics
Repeat Status: Can be repeated multiple times for credit