Course Catalog

This course introduces students to the School of Information Sciences (iSchool). Students will explore career and professional development within information sciences, building their leadership and collaborative skills, and building a network within and beyond the iSchool. Through a human centered design project focused on an information science problem, students will gain experience and a better understanding of the process to develop an innovative solution addressing a societal need. Prerequisite: Restricted to Majors Only; First Semester Freshman, Intercollegiate and Off-Campus Transfer Students Only.

This course provides an introduction to the field of information science and the major. It offers both historical and contemporary context for understanding the role of information in society. Focus is placed upon critical analysis of information problems as well as understanding the creation, use, and distribution of information in business, policy, education, government, health, and other sectors

Data Science Discovery is the intersection of statistics, computation, and real-world relevance. As a project-driven course, students perform hands-on-analysis of real-world data sets to analyze and discover the impact of the data. Throughout each experience, students reflect on the social issues surrounding data analysis such as privacy and design.

Same as CS 107 and STAT 107.
This course satisfies the General Education Criteria for Quantitative Reasoning I.

A survey of the history of gaming from the ancient world through the twentieth century, and its impact on science, society, and culture.

Immerses students in the history of Inequality in the United States through mapping the geographic, historical, and/or social movement of minority cultures using quantitative and social science methods. Topics vary by section, but each section emphasizes experiential learning through community-engaged scholarship, field-trips, or computer programming projects. No previous computer programming experience is required. No previous computer programming experience is required. Prerequisite: This course is intended for first and second year students.

Individual study in a subject related to information sciences not covered in normal course offerings.

Undergraduate Open Seminar.

• 199 EE - iSchool Exploration, Engagement, and Development
• 199 ICL - Introduction to Command Line Tools
• 199 SHG - Social History of Games & Gaming

Provides in-depth career exploration and skill development. Focused on connecting students with various speakers and concepts, the topics aim to help students build a strong foundation of essential skills and knowledge in information science. This course will help prepare students for experiential learning courses and internships, and is relevant for undergraduate students at all stages of their academic career.

Explores the way in which information technologies have and are transforming society and how these affect a range of social, political and economic issues from the individual to societal levels.

This course satisfies the campus undergraduate Social and Behavioral Science requirement.

A survey of mathematical topics for students in information sciences. Provides an introduction to sets, relations, graphs, grammars, probability, and propositional and predicate logic. These topics relate to applications in information modeling, representation and expression. Prerequisite: MATH 112 or Required ALEKS Score

This course provides an introduction to different approaches to research in the information sciences, including social science methods, data and text mining, digital humanities, historical approaches, and others. Topics include methods for evaluating research, developing research questions, selecting research methods, conducting research ethically, and communicating findings clearly and effectively through words, graphics, and other visualizations.

Covers common data processing methods and computing concepts used in the information sciences. Evaluates strengths and weaknesses of the techniques in the context of our discipline. No prior programming background is assumed. Course will use the Python programming language.

Introduction to database technology concepts and architecture. Explore data types and reading/writing database layout descriptions. Discussion of database ethics and privacy concerns. Comparison of different database systems a user might encounter including RDBMS, XML/RDF/JSON, NOSQL, and Graph database systems. Labs involving common database tools and exercises in SQL

This course introduces students to fundamental theories and techniques in Human-Computer Interaction (HCI). This course presents basic tools and methods for creating, designing, prototyping, and evaluating user interfaces to computing applications and web sites. Students will explore course content by conducting individual and group hands-on projects. Assignments involving prototyping can be implemented by self-selected solutions, e.g. Axure, JavaScript. Students from all backgrounds are welcomed.

This course will teach students about building inclusive interactive systems. They will learn to gather and understand user requirements and needs for a wide range of user populations, especially those that are under-served (e.g., children, older adults, people with disabilities), apply inclusive design frameworks and principles, and design, develop, evaluate and improve interactive prototypes in an iterative manner.

Cyber risk, cybersecurity and related concepts create a foundation for exploring the importance of threat awareness, intelligence and identification to personal and organizational security postures. Topics including password hygiene, threat actors, data collection, use and sharing and the CIA Triad, Cyber Kill Chain, Attack Vectors and Attack Surfaces are explored. The role of governments, human behavior, frameworks, standards, systems and compliance requirements all inform security decisions while creating significant career options for those interested.

This course will teach students about user research and evaluation. They will learn to apply various user research methods, gather and understand user requirements and needs for a wide range of user populations, especially those that are under-served (e.g., children, older adults, people with disabilities), conduct user evaluations of prototypes and interactive systems, and communicate effectively about the research insights and make actionable design suggestions.

A professional field experience program designed to provide the student with the opportunity to work in a professional environment under the supervision of an experienced information professional with the guidance of a faculty advisor. This opportunity allows students to integrate the theory and knowledge of course content with the application of principles and practices in a work environment, including these specific objectives Approved for S/U grading only. Prerequisite: IS 101 or IS 202. Restricted to BSIS students only.

Innovation Illinois: From Accessible Design to Supercomputing Cultures

How do communities contribute to transformative, world-changing innovations? Why is their participation indispensable for fostering change? And what makes change ultimately transformative across diverse spaces and time? Community Innovation explores how engagement with interdisciplinary communities and collaborations, as well as histories of globally-changing local innovations from the Illinois were critical to fostering and sustaining new social and technical practices across space and time.

Designed to provide students an opportunity to apply the skills and concepts learned in Information Sciences classes to a work environment. Students will complete internships of their choosing under supervision and will be expected to complete activities online including a reflective paper and presentation. The goal of this course is to provide an experience that will form a connection between a student’s academic career and career goals for the future. Approved for S/U grading only. May be repeated. Prerequisite: IS 101 or IS 202. Restricted to BSIS students only.

Provides campus credit toward the undergraduate degree for study at accredited foreign institutions or approved overseas programs. Final determination of credit and its application toward the degree is made by the School of Information Sciences (iSchool) office after a review of the student's work abroad.

Approved for Letter and S/U grading. May be repeated in separate terms to a maximum of 44 hours. Maximum of 18 hours per regular term. Summer session, 0 to 8 hours. Prerequisite: One academic year (or one semester in the case of transfer students) of full-time residence at UIUC, good academic standing, and prior approval of the School of Information Sciences. Consent of major department, school, and Study Abroad Office.

Continuing coverage of common data processing and computing methods in the information sciences. Building on programming skills from IS 205, additional programming patterns will be explored, and additional tools like the command line and version control will be explored in the context of information problems. Course will be in Python. Some Python review will be provided, but students without prior experience in Python should contact the school or instructor for review material. Prerequisite: IS 205, or CS 101, or CS 105, or CS 125, or ECE 120, or equivalent. Basic programming (Python) proficiency required.

Examines the ways in which information and communication technologies (ICTs) are shaped by -- and help to shape -- social relations of race and gender.

Explores cultural ideas about computers, including hopes and fears about the effects of computers on our lives. Will analyze images of computers in fiction and movies. The course will also examine hackers, online subcultures, and other computer-related subcultures, and the integration of computers into various cultural practices.

Explores use and application of technology to scholarly activity in the humanities, including projects that put classic texts on the web or create multimedia application on humanities topics.

Today's information society bespeaks a long history, exhibiting marked continuities with the past as well as some sharply defined new features. Yet the historical foundations of the information society remain poorly understood. This course develops such a framework, by examining emergent information institutions and practices from early modern Europe to the later 20th century. It examines the historical development of the information society through a number of important conceptual lenses, including: modernity and postmodernity; Fordist and post-Fordist capitalism; social class and information poverty; social and technological determinism; utopianism and dystopianism; and empire and globalization. Prerequisite: IS 202 Highly recommended.

Explores how we tell stories and make arguments in the age of the internet and "big data." We will explore both creative and scholarly works that experiment with the forms of expression that digital and online media make possible, and others that question the cultural, political, and social consequences of computational media and data. Students will develop skills for writing _about data_ and writing _with data_ through a variety of media.

Examines issues of Human Computer Interaction and the design of better computer interfaces.

Introduces theories of social networks (how they form, and how they influence thoughts, feelings, and behaviors), while also providing hands-on experience with some powerful tools and methods for analyzing networks on various scales, ranging from small groups, to communities, to populations. It will also explore the use of network analysis to reveal patterns in large-scale data from the humanities such as periods of literary narrative, or character development across vast narratives with multiple interweaving plot lines.

A dramatic increase in computing power has enabled new areas of data science to develop in statistical modeling and artificial intelligence, often called Machine Learning. Machine learning covers predictive and descriptive learning, and bridges theoretical and empirical ideas across disciplines. We will focus on concepts and methods for predictive learning: estimating models from data to predict unknown outcomes. Model types will include decision trees, linear models, nearest neighbor methods, and others as time permits. We will cover classification and regression using these models, as well as methods needed to handle large datasets. Lastly, we will discuss deep neural networks and other methods at the forefront of machine learning. We situate the course components in the "data science life cycle" as part of the larger set of practices in the discovery and communication of scientific findings. The course will include lectures, readings, homework assignments, exams, and a class project. Most of the course activities will use Python with the Pandas library, which students should already be proficient using. Students will learn how to use the scikit-learn Python library for machine learning during this course.

Prerequisite: Students should be familiar with the concepts of tabular data (tables) and data types (categorical, ordinal, continuous, etc.) and be able to implement these concepts in Python using Pandas. Either STAT/CS/IS 107, IS 205, INFO 407, or at least 1 semester of programming experience using Python and Pandas is recommended as a prerequisite. Students should also be comfortable with basic geometry concepts such as points, lines, and distances. Restricted to Sophomore, Junior, or Senior standing.

From passwords to email encryption to privacy settings on social media services, it is widely recognized that human factors, usability or user experience play a crucial role in effective privacy and security solutions. Designers of privacy and security solutions need to understand how people might use, interact or appropriate the mechanisms they develop. This course introduces various aspects of user experience (e.g., usability problems, user interface designs, conflicting needs) related to privacy and security systems. It is also designed to provide students with knowledge and opportunities to analyze and evaluate user experience of privacy and security systems. This course is suitable for students who are interested in privacy and security, or user experience, or both.

Focuses on project management methodology that will allow you to initiate and manage projects efficiently and effectively. You will learn key project management skills and strategies, and you will have the opportunity to apply this knowledge through assignments.

Communicating with the right audience in the right way connotes creation of ways and approaches that can serve diverse populations within and beyond a particular or specific culture. In the context of our school, the iSchool at the University of Illinois, we propose to approach strategic communication from the perspective of storytelling thinking. The goal is to introduce students to the philosophical, social, and relational dynamics of "story" among people as all human storyteller as well as organizations of all sizes across a wide spectrum of fields including library as storytelling organizations. It also aims to draw students to explore how a story foregrounds bridge-building dialog, affects the power of information, and thus maximize human potential. Students will be exposed to a range of opportunities to apply storytelling thinking as a tool to identify the audience, design means to communicate with them, and develop dynamic triangle of people sharing stories, engaging in constructive dialogs and reinterpreting etc.

This course will introduce students to the relationships between users and the information they encounter. Students will become familiar with the concepts of understanding the information needs and information behavior of users, as well as the methods of accessing and assimilating information employed by users. The course will also introduce a range of the major models and theories employed in exploring information needs and behavior.

Designed to provide fundamental knowledge and innovative approaches to consulting practices. Information professionals are increasingly being challenged to provide actionable insights and recommendations based that are critical for strategic decision making. Using methodologies widely adopted by professional firms and researchers, this course covers the basics of data-driven consulting including framing research problems, developing deliverables, and presenting professionally.

An overview of youth literacies covering: popular literacy myths, censorship, cognitive processes behind reading, visual and digital literacies, contemporary youth practices, government policies, and literacy education in schools. Course readings include fictional works and scholarship from the fields of education, library science, history, media studies, critical race studies, and literary and cultural studies. Students learn the history of marginalized youth in America in order to understand how literacies are defined, promoted, or stigmatized today.

Advanced individual study in a subject related to Information Sciences not covered in normal course offerings. 

Directed and supervised investigation of selected topics in information studies that may include among others computers and culture; information policy; community information systems; production, retrieval and evaluation of scientific or social science knowledge; computer-mediated communication; and computer-supported cooperative work. May be repeated. Prerequisite: Sophomore standing.

• 390 CI - Consulting for Information Professionals
• 390 DAM - Decision Analysis and Modeling
• 390 FCE - Foundations of Community Engagement
• 390 PIT - Privacy and Information Technology
• 390 RDS - Race & Digital Studies
• 390 RGS - Race, Gender, Sex in Comics
• 390 SS - Social Systems Dynamics

Venue for presentation and discussion of research and professional activities by faculty, students, staff, and guest speakers. 0 or 1 undergraduate hours. 0 or 1 graduate hours. Approved for S/U grading only. May be repeated in separate semesters.

Hands-on introduction to technology systems for use in information environments. The course steps students through choosing, installing, and managing computer hardware and operating systems, as well as networking hardware and software. The course also explores alternatives for administering IT and how to assess emerging technologies and their applicability to library settings. While students are expected to have basic computer competencies per the School of Information Sciences admissions requirements, the goal of the course is to provide practical detailed knowledge of the technology for all levels of competency. The primary objective is to provide a conceptual understanding of the topics of the day through concrete hands-on examples of implementation. By learning the underlying concepts, students will be better prepared to help design networked systems that not only work well today, but also develop systems that can be easily adapted for the needs and technologies of tomorrow.

Evaluation, selection and use of books and other resources for children (ages 0-14) in public libraries and school media centers; explores standard selection criteria for print and non-print materials in all formats and develops the ability to evaluate and promote materials according to their various uses (personal and curricular) and according to children's various needs (intellectual, emotional, social and physical).

Designed as a foundation for students who are interested in learning how to design human-centered information technologies. Students will learn basic principles in human cognition and behavior, and how these principles influence how we interact with information technologies. The course will prepare students to translate theories in human cognition and behavior to analyze, evaluate and rethink everyday design examples.

This course introduces students to data science approaches that have emerged from recent advances in programming and computing technology. They will learn to collect and use data from a variety of sources, including the web, in a modern statistical inference and visualization paradigm. The course will be based in the programming language R, but will also use HTML, regular expressions, basic Unix tools, XML, and SQL. Supervised and unsupervised statistical learning techniques made possible by recent advances in computing power will also be covered.

This course provides an introduction to the technologies behind the Web. Topics covered include: hypertext, hypermedia, the history of the Web, the role of Web standards and their impact on the development of Web resources. The course introduces principles of Web design and usability. Students will gain an understanding how the Web works and how to design, construct, evaluate, and maintain Web-based materials.

Fundamental principles of the art of storytelling including techniques of adaptation and presentation; content and sources of materials; methods of learning; practice in storytelling; planning the story hour for school and public libraries and other public information settings; and audio, video, and digital media.

Evaluation, selection and use of books and other resources for young adults (ages 12-18) in public libraries and school media centers; explores standard selection criteria for print and nonprint materials in all formats and develops the ability to evaluate and promote materials according to their various uses (personal and curricular) and according to young adults' various needs (intellectual, emotional, social and physical).

Human culture provides an ideal testbed for students exploring data science, because the interpretive challenges that lurk beneath the surface in other domains become starkly visible here. For instance, cultural materials usually come to analysts as unstructured texts, images, or sound files, forcing explicit decisions about data modeling and feature extraction. Cultural questions also highlight the importance of interpreting statistical models in relation to a social context. Last but not least: songs, poems, and stories confront us with vivid problems that are inherently fun to explore. This course will start by reviewing descriptive and inferential statistics, and build up to applications of supervised and unsupervised machine learning. We will apply those methods to a range of cultural materials using them to model the pace of stylistic change in popular music, for instance, and the representation of gender in fiction.

Community engagement refers to the multiple ways that information professionals in libraries and other settings learn about, collaborate with, and provide service and outreach to community members. Provides an introduction to, and overview of, community engagement theory and practice. A significant portion of coursework will take the form of service learning or community-based research via approved projects that match students' interests.

Introduces students to a range of rapid prototyping techniques and methods to analyze needs, opportunities and design spaces. Students will work in teams to develop ideas for novel computational devices or applications to meet identified needs. Covers the interlinked entrepreneurial skills of identifying an unmet need, exploiting technological opportunities, exploring a design space to refine an idea, and communicating a design vision through demonstrations with prototypes and proofs of concept. This enables developers to show how their envisaged working interactive technology will be used productively in a particular real-life context. Communicating the vision of computational devices is a challenge because dynamic use in context is hard for people other than the device's developers to imagine. The ability to produce convincing, clear, powerful demonstrations even at the early stages of a project is a highly valuable entrepreneurial skill, and also highly applicable within an organization. Directed and supervised investigation of selected topics in information studies that may include among others the social, political, and historical contexts of information creation and dissemination; computers and culture; information policy; community information systems; production, retrieval and evaluation of knowledge; computer-mediated communication.

A survey of key concepts in an emerging field that studies how local, historical communities are using information and communications technologies. Covers key principles for work in the non-profit/public sector as people harness new technologies and media as individuals, students, families, community organizations, and so on. Overarching ideas prepare both professionals and researchers to understand and master this environment, whatever their technology background. Especially useful for those interested in public or community libraries, youth services, social work, education, and anyone interested in working with or studying underserved communities.

Librarians fill a key role in the literacy development of young children with opportunities for interaction both in the library and through outreach programs. Key skills center on developing literacy-rich library environments, classroom instructional support, intentional embedding of essentials skills and practices within daily activities and lessons, resources about early literacy strategies to share with families and caregivers. Practitioners will understand the importance of integration of technology to meet the diverse developmental, cultural, social and linguistic needs of children to ensure they are able to create meaning from text.

This interdisciplinary course introduces students to fundamental theories, methods, technologies and applications of social computing. Students learn about this emerging discipline from two perspectives: First, basic principles of collective information production and processing, and methods for studying these principles. Topics include prediction markets, games with a purpose, open source software development, social media, social networks, information visualization, and online games. Second, socio-technical aspects of the design and usage of respective technologies. This includes participation, privacy and security. Students learn how to solve problems in social computing in a systematic and rigorous fashion. At the end of the course, students will be able to design, manage and execute social computing projects for scholarly and commercial use, and to critically assess work in this area.

The course examines various ways that information technologies are and might be used in museums and other cultural heritage settings. Museum websites, visitor apps, interactive exhibits, and uses of digitized and federated collections are explored. Students gain an introduction to Design Thinking by working on a final project that involves the development of a novel computational resource. Students are encouraged to approach class topics from their individual backgrounds in the humanities, sciences, or social sciences.

This course focuses on the basics of web site design, content development, constructing web pages with standard HTML and CSS. We will also cover usability and accessibility, content management system options, multi-media and interactivity in the context of standard HTML and CSS, procedures and policies for organizations, with a concentration on public, academic and special libraries. Students will investigate, design, and draft a representative site. Students may work with non-profit and library clients in constructing and redesigning their web sites or design and construct their own personal professional pages. In this course we will learn how to design and deploy flexible websites that serve dynamically changing content, focusing in particular on the needs of public-service organizations such as libraries, associations, and other not-for-profit entities.

Covers common data, document processing, and programming constructs and concepts. Focuses on problem solving and abstraction with a programming language. By the end of the course students will be able to design, develop and test a moderately complex computer program to manage full text, bibliographic records or multimedia. The course prepares students for working with applications in data analytics, data science, digital libraries, text mining and knowledge management. No prior programming background is assumed.

In this immersive and experiential course, students consider "playfulness" as a key aspect of design methodologies and practices. Looking closely at the philosophical, social, and relational dynamics of play from multiple disciplinary angles, students will explore how playful approaches to design thinking and other design methodologies can encourage collaboration, engagement, and emergent, transformative solutions to a range of challenges that face us in our rapidly-changing, information-based culture.  The course aims to build student competency in design methods through a sequence of project experiences arising from a deep consideration of play.

Web Development Using Application Frameworks: A course in the use and evaluation of Web application frameworks for system architects, designers, and developers. 
Prerequisites:

• Experience in creating static Web sites using HTML and CSS
• Experience in Python programming (IS 430 or equivalent)
• Experience in creating dynamic Web sites using tools like PHP is helpful but not required.
• Experience in using relational databases is helpful but not required.

Studio-based learning methods, which are common in art and architectural education, are used to help students address a real-world problem or 'case' within a social justice framework. Working in teams and mentored by the instructor and experts, students will learn how to 'be a professional' in an environment in which process is as important as project.

Data visualization is crucial to conveying information drawn from models, observations or investigations. This course will provide an overview of historical and modern techniques for visualizing data, drawing on quantitative, statistical, and network-focused datasets. Topics will include construction of communicative visualizations, the modern software ecosystem of visualization, and techniques for aggregation and interpretation of data through visualization.Particular attention will be paid to the Python ecosystem and multi-dimensional quantitative datasets.

This is an introductory course in systems analysis for computer-based information systems. Systems analysts are primarily responsible for eliciting user requirements, proposing a systems solution that meets those requirements, creating a model of the requirements and a proposed solution that can be understood by both system users and system developers. Systems analysts also get involved in project identification, planning, management, supervision of detailed system design and supervision of system construction. While this course will specifically emphasize systems analysis for LIS applications, the knowledge, tools and techniques that are covered in the course would be equally applicable to other disciplines. The audience for this course includes anyone who is interested in the analysis and preliminary design of computer-based information systems.

Covers the available universe of African studies materials in all formats and how to find them. The class begins with evaluating general reference sources and continues with sources by discipline for the study of the continent of Africa. Covers research strategies for the humanities and social sciences.

Evaluation, selection and use of information books and other resources for young people (ages 0-18) in public libraries and school media centers; explores standard selection criteria for factual print and nonprint materials in all formats and develops the ability to evaluate and promote nonfiction books and resources according to their various uses (personal and curricular) and according to young people's various needs (intellectual, emotional, social and physical).

The course provides students with both theoretical and practical training in good database design. By the end of the course students will create a conceptual data model using entity-relationship diagrams, understand the importance of referential integrity and how to enforce data integrity constraints when creating a database. Students will be proficient in writing basic queries in the structured query language (SQL) and have a general understanding of relational database theory including normalization.

Introduces problems of document representation, information need specification, and query processing. Describes the theories, models, and current research aimed at solving those problems. Primary focus is on bibliographic, text, and multimedia records.

An introduction to understanding data as a source for storytelling and to telling stories based on data. This process will include understanding and analyzing data sets to find informative aspects, changes, or contrasts that will provide the basic information for developing stories. Course participants will learn storytelling concepts, narrative theories, and performance techniques and develop stories in a collaborative workshop style. Students will work with data visualization toolkits, which will involve variable levels of coding and skill. By using storytelling techniques with data, students can develop, and tell well-evidenced stories, organizations can make better data-driven decisions.

This course is intended to provide all necessary tools for the conduct of effective research in the field of Russian, East European & Eurasian Studies for both scholars and librarians. Relying on the rich bibliographic tradition of Russia, Central Asia, the Caucasus and Eastern Europe, the latest techniques, strategies, databases and full-text options will be explored and explained.Topics include national bibliography, archival materials, émigré publications, rare books, open-Web resources, citation management tools, and web archiving, with particular emphasis on the transliteration systems, abbreviations, bibliographic and cataloging conventions, and constant troubleshooting that are essential to efficient REEES research.Attention is also paid to information architecture in general and the ways that historical, political, intellectual and technological phenomena affect access to published and unpublished research materials.

The course provides an introduction to the concepts, technologies, practices and challenges of Information Assurance. It takes a broad view of Information Security and Privacy and covers the essential principles for the protection of information systems; the relevant technologies; organizational concerns; policies, human aspects; legal approaches; criminology; and ethical issues. Students will gain an appreciation for the difficulty of designing, developing, deploying and maintaining information systems, services and software products that are secure and comply with expectations of security and privacy.

The course will address common ethical challenges related to data including privacy, bias, and data access. These challenges will be explored through real-world cases of corporate settings, non-profits, governments, academic research, and healthcare. The course emphasizes the complexity of ethical decision-making and that trade-offs between priorities are often necessary. The course also considers how the burdens of addressing ethical concerns should be distributed among stakeholders. Students will be introduced to a range of relevant policy responses at the organizational, institutional, governmental, and supranational levels.

Provides an introduction to learning theories and instructional methods used in a variety of information settings, including libraries, archives, museums, online, and educational environments. Includes an overview of theoretical and applied research and discusses relevant issues and concepts. Students will have an opportunity to design and present an instructional program.

This course addresses issues in Data Management, Curation & Reproducibility from a Data Science perspective. We discuss definitions of data science, and then introduce and use the Data Science Life Cycle as an intellectual foundation. Topics include Research Artifact Identification and Management, Metadata, Repositories, Economics of Artifact Preservation and Sustainability, and Data Management Plans. We use the case study to ground our discussions in both data sets and in specific data science research. This course requires a final project that applies course knowledge to a data science experiment and creates a data management plan for that experiment. 3 undergraduate hours. 4 graduate hours. Prerequisite: IS 205 or STAT 207 or equivalent programming experience.

Directed and supervised investigation of selected topics in information studies that may include among others the social, political, and historical contexts of information creation and dissemination; computers and culture; information policy; community information systems; production, retrieval and evaluation of knowledge; computer-mediated communication.

• 490 LP - Libraries and the Politics of Memory
• 490 PS - Professional Skills in Information Science
• 490 SLP - Professional Skills in School Librarianship 
• 490 SM - Social Media and Global Change

Variety of newly developed and current topics courses within the field of information services, intended to augment the existing Information Sciences curricula.

3 undergraduate hours. 2 to 4 graduate hours. May be repeated if topics vary.

• 491 AA - Asian American Youth Literature

Variety of newly developed and current topics courses within the field of information cultural heritage, collection management and preservation, intended to augment the existing Information Sciences curricula. 3 undergraduate hours. 2 to 4 graduate hours. May be repeated if topics vary.

• 493 BY - Black Youth Literature

Variety of newly developed and current topics courses within the field of management ethics and policy, intended to augment the existing Information Sciences curricula.

• 494 ABR - Applied Business Research
• 494 MP - Making Information Policy

Variety of newly developed and current topics courses within the field of human-centered design and systems, intended to augment the existing Information Sciences curricula.

• 496 CN - Computer Networks
• 496 DE - Designing for Social Interactive Experience

Variety of newly developed and topics courses within Data Analytics & Data Science, intended to augment the existing Information Sciences curricula.

• 497 DA - Database Administration & Scaling
• 497 DSA - Data Science and AI in Society
• 497 IM - Interdisciplinary Methods in Research Computing
• 497 MD - Market Analytics for Info Prof

Introduces graduate students to the School of Information Sciences (the iSchool). Students will learn best practices for success in their program. They will also learn about resources and support provided by the School and the University while building community among their peers, faculty, staff and alumni. Various sections address different graduate student audiences and needs.

Explores reference and information services in a variety of settings, introduces widely used print and online sources, and develops question negotiation skills and search strategies.

Interpretation of children's literature from the earliest times, including the impact of changing social and cultural patterns on books for children; attention to early printers and publishers of children's books and to magazines for children.

The character, success, and costs/benefits of information technologies are socio-technical matters. Because of this, best practice for IT design and integration relies on participants' ability to understand and create for the totality of those settings, including social and technical dimensions. This course provides students with analytic tools for examining socio-technical settings and experience in applying that knowledge in IT modeling, design and management.

Emphasizes information organization and access in settings and systems of different kinds. Traces the information transfer process from the generation of knowledge through its storage and use in both print and non-print formats. Consideration will be given to the creation of information systems: the principles and practice of selection and preservation, methods of organizing information for retrieval and display, the operation of organizations that provide information services, and the information service needs of various user communities.

This course provides students the fundamental theory and skills necessary to design, develop, and evaluate human centered information systems. By the end of the course students will be able to gather user needs in light of existing sociotechnical systems, design effective human centered interfaces, implement interactive prototypes, and conduct unit testing and user studies of software.

An introduction to statistical and probabilistic models as they pertain to quantifying information, assessing information quality, and principled application of information to decision making, with focus on model selection and gauging model quality. The course reviews relevant results from probability theory, parametric and non-parametric predictive models, as well as extensions of these models for unsupervised learning. Applications of statistical and probabilistic models to tasks in information management (e.g. prediction, ranking, and data reduction) are emphasized.

Provides an introduction to the historical foundations of IS. Examinations of the interactions of socio-cultural, technological and professional factors underlying the emergence of IS provide a basis for exploring more recent developments in theory and practice. Required IS Ph.D. course.

Explores major issues in the library and information science professions as they involve their communities of users and sponsors. Analyzes specific situations that reflect the professional agenda of these fields, including intellectual freedom, community service, professional ethics, social responsibilities, intellectual property, literacy, historical and international models, the socio-cultural role of libraries and information agencies and professionalism in general, focusing in particular on the interrelationships among these issues.

A basic level of scholarly communication literacy and sophistication is an increasing requirement of academic librarians, both to inform their work and to make those librarians effective partners in the scholarly enterprise. This course is designed to cultivate and develop that literacy. It will address topics such as: the established modes of scholarly communication and the emergence of alternatives influenced by the growth of social media and other forms of networked communication; the divide between formal and informal modes of scholarly communication and the current state of flux as that divide begins to collapse; the varying economies of scholarship (the reputation and prestige economy, the financial economy both in the market and in the mission-driven research academy, and the economic impact of scholarly communication decisions upon library budgets); modes of credentialing scholarship and their impact upon professional advancement, with special attention to peer review and its (current?) discontents; scholarship as intellectual property and the most effective ways to manage that property and achieve scholarly goals; and issues in access and preservation as they relate to ensuring the future of the scholarly conversation.

As an experiential learning class, this course covers advanced techniques of business research with an emphasis on managing real-world client projects. Students will be assigned to teams and work with clients to identify research requirements and construct recommendations. Students will acquire critical skills in creating professional deliverables through client engagements. Students will build professional research portfolios at the conclusion of their projects.

Information modeling is critical to all information systems and analysis. This course introduces students to foundational frameworks (set theory and logics) and basic underlying objects (entities, attributes, and relations) of information modeling. A variety of modeling approaches (use case modeling, relational database design, first-order predicate logic, and semantic web technologies) are considered, and recent developments (non-relational databases and knowledge graphs) are reviewed. Modeling strategies are assessed by their expressiveness and reasoning capabilities.

A dramatic increase in computing power has enabled new areas of data science to develop in statistical modeling and analysis. These areas cover predictive and descriptive learning bridge ideas and theory in statistics, computer science and artificial intelligence. We will cover many of these new methods including predictive learning such as estimating models from data to predict future outcomes, notably regression and classification models. Regression topics include linear regression with recent advances to deal with large numbers of variables, smoothing techniques, additive models, and local regression. Classification topics include discriminant analysis, logistic regression, support vector machines, generalized additive models, naive Bayes, mixture models and nearest neighbor methods. Lastly we develop neural networks and deep learning techniques, bridging the theory introduced in the earlier parts of the class to purely empirical methods. We situate these methods in the "data science lifecycle" as part of the larger set of practices in the discovery and communication of scientific findings.

Provides an introduction to the design of IS research, beginning with an in-depth consideration of the philosophical and logical underpinnings of research. A brief survey of different methods used in IS research is followed by an exploration of research design issues through comparative hands-on exercises. Throughout the course, the emphasis will be on research design choices, especially the connections between research questions and research methods.

A comprehensive examination of the history and state-of-the-art in digital library research and practice. Focuses upon the theoretical, technological, human factors and evaluative components of digital library research and practice. Course includes an intensive reading of the literature, review of existing technologies and proof-of-concepts implementation projects.

Studies the library's physical plant in the light of changing concepts and patterns of library service; analyzes present-day library buildings (both new and remodeled), and their comparison with each other as well as with buildings of the past; examines the interrelationship of staff, collections, users, and physical plant; discussion supplemented by visits to new libraries and conference with their staffs. A two-day field trip is required.

Covers the broad range of library preservation and conservation for book and nonbook materials relating these efforts to the total library environment; emphasizes how the preservation of collections affects collection management and development, technical services, access to materials and service to users.

The course will address issues of data governance, including data ethics, and design and implementation of policy responses and best practices.

This course examines the construction of a data warehouse and business intelligence system. It will review the roles and requirements of building the system, including data modelling and business intelligence product design. This course will explore real-world case studies of data warehouse and business intelligence projects leading to a final project to design a solution for a business case.

Network Analysis has become a widely adopted method for studying the interactions between social agents, information and infrastructures. The strong demand for expertise in network analysis has been fueled by the widespread acknowledgement that everything is connected and the popularity of social networking services. This interdisciplinary course introduces students to fundamental theories, concepts, methods and applications of network analysis in a practical manner. Students learn and practice hands-on skills in collecting, analyzing and visualizing network data.

A core course for all first year Information Science PhD students. The seminar serves as a venue for the development of a variety of skills and capacities to succeed as a scholar. Throughout the term, students will engage in a series of tasks designed as an initiation to the academic profession. The seminar offers a mix of sessions on progression through the Ph.D. degree program, the research process, guidance on the academic profession, and written and oral presentation of scholarly research. While students will receive feedback from the instructor, this is a seminar, meaning that active student participation and peer feedback is crucial.

Examines issues affecting the development and management of collections for academic, public, special, and school libraries: collection development policies, collection assessment, the marketplace, publishing, legal issues, and budget allocation; document delivery; collaboration and cooperation.

School Library Information Specialists serve children and young adults (ages 5-18) in K-12 school library media centers. Students will acquire specific knowledge, skills and competencies needed to design, develop, integrate and assess curriculum and instruction with an emphasis on the information needs of K-12 students. Readings and projects provide students with opportunities to apply the practical knowledge and skills they have learned about building reading literacy, teaching information literacy skills, collaborating with teachers and integrating resources into teaching and learning. 2

Introduces the theory and practice of oral history to graduate students in history, communication, library and information science and related fields through reading, discussion and practice with field work and interviewing. Over the last fifty years, oral history has moved from a controversial (and sometimes despised) technique on the margins of the discipline history, to one of the most important forms of historical knowledge production and dissemination in the academic and non-academic worlds. Yet its goals and relations to the communities it touches are often less than clear. Examines oral historical works, some canonical, some experimental, produced by historians, anthropologists, folklorists, sociologists and political activists. Up for discussion are questions of orality and literacy, privileged versus marginal histories, the problem of memory, problems of listening and learning how to ask, and debates about audience and presentation. Readings will cross continents (the Americas, Europe, Africa, South America) and historical periods from the 18th through the 21st centuries.

This course is designed to provide fundamental knowledge in providing research services and also introduce the latest trends and innovative approaches in research services. Information professionals are increasingly being challenged to provide not just data but insights and recommendations that are critical for strategic decision making. Using methodologies widely adopted by professional firms and researchers, this course will cover basics of research consulting including framing research problems, developing deliverables, and presenting professionally.

Data cleaning (also: cleansing) is the process of assessing and improving data quality for later analysis and use, and is a crucial part of data curation and analysis. This course identifies data quality issues throughout the data lifecycle, and reviews specific techniques and approaches for checking and improving data quality. Techniques are drawn primarily from the database community, using schema-level and instance-level information, and from different scientific communities, which are developing practical tools for data pre-processing and cleaning.

This course is intended to provide a historic and contemporary overview of social justice and advocacy work in librarianship. The course will be primarily focused on activities in the United States, though international movements and perspectives will be addressed. Topics include: desegregation of libraries and professional associations; recruitment and retention of library workers from traditionally underrepresented populations; library outreach; intellectual freedom; and emerging critical theories and issues in the field.

Copyright is a complicated legal concept that affects all information institutions, including corporations, libraries, archives, and museums whether they are online or off. This course will explore copyright from both a legal and information management perspective to demystify the concept and provide practical tools for working with copyrighted material. Topics discussed include the Constitutional underpinnings of copyright, copyright basics, copyright exceptions, fair use, the open access movement, licensing, data and copyright, and educational issues relating to copyright including issues related to K-12 teaching. This course is designed for students with a variety of backgrounds and interests.

This course is designed to prepare school librarians to serve as instructional leaders in their learning communities, positioned to transform teaching and learning in order to ensure students are college, career, and community ready. Participants will develop strategies and practices to support the school's curriculum through the roles of instructional partner, information specialist, and teacher. The school librarian has a leadership role in designing authentic learning activities in research and guided inquiry to prepare students in both the process and attitudes necessary to identify and meet their own lifelong information needs.

Examines current problems with and approaches to digital preservation that are fundamental to the long-term accessibility of digital materials. Examines the range of current research problems, along with emerging methods and tools, and assesses a variety of organizational scenarios to plan and implement a preservation plan. Topics include basic information theory, preservation of complex digital objects; standards and specifications; sustainability and risk assessment; authenticity, integrity, quality control, and certification; and management of preservation activities.

Designed to explore the principles that govern how organizations and institutions work, this course provides a foundation for and introduction to the theories, practices and procedures involved in the management and administration of libraries and information centers.

In this seminar-style course we will discuss advanced topics in visualization techniques.  This will cover topics such as the history of visualization techniques, the perception and understanding of visual information, and new frontiers in displaying quantitative information.  We will explore the modern technical stack for creating and sharing visualizations, including topics in javascript, python, and reactive frameworks.  Prereqs: programming courses.  Students are expected to either be familiar with, or be prepared to familiarize themselves with, Python, Javascript, GitHub, and other computational tools.  Data Visualization (IS445) is optional, but encouraged.

Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities and policies enable data discovery and retrieval, maintain data quality and add value, and provide for re-use over time. This course provides an overview of a broad range of theoretical and practical problems in the emerging field, examining issues related to appraisal and selection, long-lived data collections, research lifecycles, workflows, metadata, and legal and intellectual property issues.

Supervised field experience of professional-level duties in an approved library or information center. More information.

Theory and techniques in planning, implementing and evaluating library programs/services for youth (age 0-18) in public and school libraries/media centers; the knowledge base, skills, and competencies needed by the library media professional in the development of all aspects of young people's reading/viewing/listening and information literacy skills.

An advanced topics seminar in subject description and access that focuses upon representation in race, gender, sexuality and other contested categories. Critical intersections of bias, exclusion, and marginalization will be explored through a variety of case studies. Implications for how we construct search and discovery systems (e.g databases, finding aids, taxonomies and catalogs), and other tools, are crucial considerations for those engaging in cultural heritage work.

Relying primarily on case studies, this course will help develop the students' understanding of how the IoT enables Business Data Analytics. Lectures and readings will be focused on the impact to a company's business model created by IoT data and analytics. Because of the disruptive nature of IoT sensors or data, IT Innovation will also be discussed. While the course will reflect a practitioner's view, the material will be presented on a solid academic under-pinning.

In this course students will build upon their previously acquired skills in machine learning to undertake a variety of team-based project which apply appropriate machine learning techniques to one or more real-world datasets to gain useful actionable insights. Teams will also document their analyses and findings, explaining the strengths weaknesses and reliability of their approaches.

Individual study of a problem in library and information science; forms the culmination of the Certificate of Advanced Study program.

Introduces students to the fundamentals of doing social science research in LIS. Students will learn how to frame a research problem, choose an appropriate research method, apply it, and write up the research for presentation and publication.

Explores information needs and uses at a general level, addressing formal and informal information channels, barriers to information, issues of value, and impacts of technology. Examines information seeking practices of particular communities and within various environments, introducing recent approaches to user-centered system design and digital library development. Provides an overview of methods that can be used to study information needs, information seeking behavior, and related phenomena.

Administration of archives and manuscript collections in various types of institutions. Theoretical principles and archival practices of appraisal, acquisition, accessioning, arrangement, description, preservation, and reference services. Topics will include: records management programs, collecting archives programs/special collections, legal and ethical issues, public programming and advocacy, and the impact of new information technologies for preservation and access.

Variety of newly developed and advanced topics courses within Literature, Media and Materials, intended to augment the existing Information Sciences curricula.

• 563 AAB - African American Intellectual History, Bibliography, and Librarianship
• 563 AP - Adult Popular Literature
• 563 CL - Reviewing Children's Literature
• 563 CR - Comics: Advising Readers
• 563 DH - History of Digital Humanities
• 563 FL - Fantasy Literature and Media for Youth
• 563 RYL - Religion in Youth Literature
• 563 SJ - Social Justice in Youth Literature
• 563 SS - Library Resources for Spanish Speakers

This course will introduce the student to the principles, practices and standards for information representation and organization in school media centers. Course content will include an introduction to original cataloging of non-standard materials (such as realia and audiovisual materials), evaluation of bibliographic records, exposure to authority control and subject access systems with a special focus on the Dewey Decimal System and Sears Subject Headings. The course will also provide an overview and exploration of different library systems/OPACS.

This course introduces students to the knowledge discovery process and methods used to mine patterns from a collection of text. We will critically review text mining methods developed in the knowledge discovery and databases, information science, and computational linguistics communities. Students will develop proficiency with modeling text through individual projects.

Supervised field experience designed for learning professional-level duties in an approved information-related organization or institution.

Variety of newly developed and advanced topics courses within the field of Use and Users of Information, intended to augment the existing Information Sciences curricula.

• 571 AL - Accessibility in Library Resources
• 571 CP - Children’s Programming 
• 571 IS - Information Services for Diverse Users
• 571 LR - Literacy, Reading, and Readers
• 571 LG - Library Gaming Programs.
• 571 TL - Teen Library Programs

Variety of newly developed and advanced topics courses within the field of Collections, intended to augment the existing Information Sciences curricula.

• 573 AB - Introduction to Artists Books
• 573 CA - Community Archives
• 573 CH - Introduction to Cultural Heritage Collections
• 573 DCA - Documentation, Collection, and Appraisal of Records
• 573 ED - Exhibit Design and Installation
• 573 ER - E-Resources Management
• 573 PM - Preservation Museum Artifacts
• 573 SC - Collection Development for Special Collections

Combines theoretical examination of the design of metadata schema with their practical application in a variety of settings. Hands-on experience in the creation of descriptive, administrative, and structural metadata, along with their application in systems such as OAI harvesting, OpenURL resolution systems, metasearch systems and digital repositories, will help students develop a thorough understanding of current metadata standards as well as such issues as crosswalking, metadata schema, metadata's use in information retrieval and data management applications, and the role of standards bodies in metadata schema development.

Data mining refers to the process of exploring large datasets with the goal of uncovering interesting patterns. This process usually involves a number of tasks such as data collection, pre-processing, and characterization; model fitting, selection, and evaluation; classification, clustering, and prediction. Although data mining has its roots in database management, it has grown into a discipline that focuses on algorithm design (to ensure computational feasibility) and statistical modeling (to separate the signal from the noise). It draws heavily upon a variety of other disciplines including statistics, machine learning, operations research, and information retrieval. Will cover the major data mining concepts, principles, and techniques that every information scientist should know about. Lectures will introduce and discuss the major approaches to data mining; computer lab sessions coupled with assignments will provide hands-on experience with these approaches; term projects offer the opportunity to use data mining in a novel way. Mathematical detail will be left to the students who are so inclined.

This seminar course will offer an advanced graduate survey of research in areas related to research in research methods, across a wide range of topics. This course is designed to incorporate multiple guest lectures.

• 578 CC - Critical Approach to Children's Literature
• 578 DH - Intro to Digital Humanities
• 578 QM - Qualitative Methods

Supervised participation in information science research. Students assist in and /or conduct research under faculty or staff supervision on an information science project. The topics and nature of the work will vary.

Information history covers diverse institutions and practices, from libraries and postal systems to cartography and statistics, and connects these to overarching historical processes. This course examines the role of information in the transition to capitalism; in processes of state formation; in industrialization, and in other important historical movements and events.

Variety of newly developed and advanced topics courses within the field of Youth Services, intended to augment the existing Information Sciences curricula.

• 581 DCE - Digital Citizenship and Ethics
• 581 EY - Educational Technology and Youth
• 581 IL - Inquiry-Based Learning
• 581 ISM - Instructional Strategies for Media Literacy
• 581 ML - Foundations of Media Literacy

Variety of newly developed and advanced topics courses within the field of Librarianship, intended to augment the existing Information Sciences curricula.

• 582 AL - Academic Librarianship
• 582 IL - International Librarianship
• 582 LL - Law Librarianship
• 582 LLM - Legal Issues for Library and Information Managers
• 582 LSW - Library Social Work
• 582 MD - Make-Design-Learn in Libraries
• 582 PL - Prison Librarianship
• 582 RB - Rare Books and Special Collections
• 582 SCL - Social Crisis and Librarianship
• 582 SSL - Social Science Librarianship
• 582 TL - Theological Librarianship

Variety of newly developed and advanced topics courses within the field of Book History, intended to augment the existing Information Sciences curricula.

• 583 BB - Bookbinding History, Principles, and Practices
• 583 BL - BookLab: Print to Programming
• 583 BP - The Book as Physical Object
• 583 HB - History of the Book
• 583 MM - Medieval Manuscripts
• 583 PB - Print Culture & Material Book

Variety of newly developed and advanced topics courses within the field of ethics and privacy, intended to augment the existing Information Sciences curricula.

• 584 DE - Data Ethics
• 584 IE - Information Ethics
• 584 IF - Intellectual Freedom & Censorship
• 584 PV - Privacy in the Internet Age

Introduction to basic principles and concepts of descriptive and subject cataloging in the context of information service needs for various user communities. Explores principles, structures, standards, technologies and practices relating to organizing and creating access to print and non-print media. Includes coverage of subject analysis and descriptive practices. Introduces controlled vocabularies.

The course provides an introduction to: issues in Human Computer Interaction; analysis of interfaces and their use; the interface design process as an engineering activity; designing usable interfaces under constraints; and the rapid prototyping and evaluation cycle. The course covers interface design in multiple contexts including websites, web-based applications, smartphone apps, regular computer apps and new contexts of interacting with computers.

Permits the intermediate or advanced student opportunity to undertake the study of a topic not otherwise offered in the curriculum or to pursue a topic beyond or in greater depth than is possible within the context of a regular course.

Variety of newly developed and advanced topics courses within the field of information foundations, intended to augment the existing Information Sciences curricula.

• 590 CIS - Critical Info Studies Seminar
• 590 IT - Introduction to LIS Technology
• 590 LS - Logic and Semantics in Information Science
• 590 MI - Memory and Information
• 590 RGS - Race, Gender, Sexuality Information Professions
• 590 YCE - Youth Services Community Engagement

Variety of newly developed and advanced topics courses within the fields of Information Services, intended to augment the existing Information Sciences curricula.

• 591 ACT - Advanced Copyright Topics & Issues
• 591 APS - Adult Public Services
• 591 BI - Business Information
• 591 BTO - Bibliotherapy
• 591 CAP - Capabilities & Application in Practice
• 591 CIP - Advanced Topics in Copyright for Information Professionals
• 591 EL - E-Learning
• 591 HIS - Health Science Information Services & Resources
• 591 ILP - Informal Learning and Pedagogies
• 591 ISS - Information Sources & Services in Humanities
• 591 MA - Music Librarianship & Bibliography
• 591 PIP - Publishing as an Information Profession
• 591 PL - Public Library Partnerships

Variety of newly developed and advanced topics courses within the fields of Information Organization, intended to augment the existing Information Sciences curricula.

• 592 GW - Grant Writing for Libraries
• 592 PL - Public Librarianship
• 592 SLC - State Libraries and Consortia

Variety of newly developed and advanced topics courses within the fields of Preservation & Tech Services, intended to augment the existing Information Sciences curricula.

• 593 AA - Archival Arrangement and Description
• 593 AV - AV Materials in Libraries and Archives
• 593 AW - Archiving the Web
• 593 MA - Museum Archives
• 593 PCC - Preservation and Conservation for Collections Care
• 593 TS - Technical Services Functions
   

Variety of newly developed and advanced topics courses within the fields of Management and Policy, intended to augment the existing Information Sciences curricula.

• 594 BA - Business Analytics
• 594 EI - Economics of Information
• 594 EV - Evaluation and Assessment of Library Services
• 594 FM - Financial Management
• 594 GI - Government Information
• 594 IP - Information Policy
• 594 PJ - Project Management
• 594 PM - Personnel Management
   

Variety of newly developed and advanced topics courses within the fields of Organization & Representation, intended to augment the existing Information Sciences curricula.

• 595 ABM - Advanced Bibliographic Metadata
• 595 BB - Bibliography
• 595 CC - Introduction to Cloud Computing
• 595 CIK - Competitive Intelligence & Knowledge Management
• 595 KSI - Knowledge Structures for Information Organizations
• 595 LD - Linked Data Processing
• 595 RO - Representing & Organizing Information Resources

Variety of newly developed and advanced topics courses within the field of Human-Centered Design & Systems, intended to augment the existing Information Sciences curricula.

• 596 AI - Artificial Intelligence and Democracy
• 596 DI - Designing Intelligent Systems to Augment Human Performance
• 596 GH - Global Health Informatics
• 596 ISR - Implementation of Information Storage and Retrieval Systems
• 596 ML - Machine Learning and Social Computing
• 596 SM - Social Media Analytics
• 596 SS - Social Sensing

Variety of newly developed and advanced topics courses within the fields of Data Analytics & Data Science, intended to augment the existing Information Sciences curricula.

• 597 CL - Command Line Tools
• 597 CS - Culture At Scale: A Seminar
• 597 DM - Open Data Mashups
• 597 DS - Data Structures & Algorithms
• 597 HCD - Human Centered Data Science
• 597 LLM - Large Language Models
• 597 MLC - Machine Learning Cloud
• 597 PD - Practical Health Data Analytics
• 597 PR - Programming & Quality in Data Analytics
• 597 PY - Python Standard Library
• 597 RDA - Responsible Data Science & Artificial Intelligence
• 597 RIB - Research Impact Bibliometrics
• 597 TML - Trustworthy Machine Learning

Individual study and research.