| INF 384D |
Collection Management |
|
MSIS/PhD |
|
| INF 384H |
Concepts of Information Retrieval |
|
MSIS/PhD |
|
| INF 384M |
Topics In Description and Metadata |
|
MSIS/PhD |
|
| INF 384M |
Topics In Description and Metadata: Theories and Applications of Metadata |
|
MSIS/PhD |
|
| ISP 385 |
Information Risk and Benefit Analysis |
|
ISP/(formerly) MSIMS |
|
| INF 385C |
Human-Computer Interaction |
This course introduces students to human-computer interaction theories and design processes. The emphasis is on applied user experience (UX) design. However, the course starts by discussing fundamental aspects of human perception and cognition and linking them with design principles. The course presents an iterative evaluation-centered UX lifecycle and introduces students to a broader notion of user experience, including usability, usefulness, and emotional impact. The UX lifecycle should be viewed as template intended to be instantiated in many different ways to match the constraints of a particular development project. The UX lifecycle activities we cover include contextual inquiry and analysis, requirements extraction, design-informing models, design thinking, ideation, sketching, conceptual design, and formative evaluation. |
MSIS/PhD |
- UX Design Cycle
- user Research
- intro To Prototyping
- Human Cognition And Perception
- evaluation Methods
|
| INF 385E |
Information Architecture and Design |
This course explores the fundamental principles and practical applications of Information Architecture (IA). Drawing from the seminal work "Information Architecture: For the Web and Beyond" by Louis Rosenfeld, Peter Morville, and Jorge Arango, students will delve into the essential concepts, methodologies, and best practices shaping the organization and presentation of information in digital environments. Simply, this course addresses how to make content organized and findable based on human understanding. Throughout the course, students will examine the critical role of IA in enhancing user experience, facilitating navigation, and optimizing content discoverability. Topics covered include information organization, navigation design, metadata implementation, taxonomy development, and user-centered design principles. Through a combination of theoretical discussions, case studies, hands-on exercises, and a real project with a real client and real world constraints, students will gain proficiency in designing effective IA solutions tailored to diverse user needs and contexts. Emphasis will be placed on understanding user behavior, conducting user research, and iteratively refining IA structures to align with evolving user requirements and organizational goals. Course Objectives: Gain a comprehensive understanding of Information Architecture principles and methodologies. Learn how to analyze and evaluate existing IA structures in digital environments. Develop proficiency in designing and implementing effective IA solutions for websites and digital products. Explore techniques for conducting user research and applying user-centered design principles to IA. Understand the role of IA in enhancing usability, findability, and overall user experience. Acquire practical skills in wireframing, prototyping, and usability testing within an IA context. Explore emerging trends and technologies shaping the field of Information Architecture. |
MSIS/PhD |
- Research Skills (card Sorts + Tree Testing)
- Refine IA Structures Including Navigation + Labels To Optimize Content Discoverability
- Metadata Implementation + Taxonomy Development
- Gain a Comprehensive Understanding Of Information Architecture Principles And Methodologies.
- Learn How To Analyze And Evaluate Existing IA Structures In Digital Environments.
- Strategic Thinking For Effective Solutions
|
| INF 385M |
Database Management |
Database is the foundation of Data Science. It provides the unique design to store, retrieve, and manage data. Data become the essential gas to power the generative AI. How to model data, encode context, enforce business rules, and achieve efficiency are critical for database design. This course provides the introductory understanding of relational database design with the focus on three parts. The first part is centered around the database design lifecycle by introducing business rules, ER diagram, normalization, and UML chart. The second part talks about database query language SQL by explaining concepts and providing examples. The third part gives you the forward introduction of XML database which is the commonly used NoSQL database. The learning content will be delivered in the variety of exercises including lectures, tutorials, class activities, individual assignments, group assignments, and group projects. This course empathizes peer learning, hands-on practices, forward exploring, and risk taking. |
MSIS/PhD |
- ER Diagram
- Database Management
- SQL
- conceptual Modeling
- XML Database
|
| INF 385N |
Informatics: Consumer Health Informatics |
|
MSIS/PhD |
|
| INF 385P |
Usability |
This course will give students a foundational introduction to user experience (also known as UX, CX, HCI) and introduce some of the core UX research methods in use today, as well as applying these methods to a product to create a final presentation that can hopefully be used in their portfolio/job seeking adventures. Accordingly, the class will cover 5 major areas: 1. Have an in-depth understanding of some primary UX methods relevant to product development (e.g. Heuristic evaluation, Moderated User testing, UX Benchmarking). 2. Understand the principles of other important UX tools/methods (e.g. Information architecture tests (card-sorts), RITE testing, Competitive Analysis, Thematic coding of qualitative data, etc.). 3. Have a working understanding of the most frequently used UX methods at each point of the development lifecycle, with a specific focus on which methods are best suited to evaluative research. 4. Learn the scientific underpinnings of the various methodologies, including the specific advantages and disadvantages of each. 5. The “real world” application of these skills to industry-paced projects |
MSIS/PhD |
- Usability
- user Research
- Competitive Analysis
- User Experience
- user Centered Design
- UX
- CX
- Design Thinking
|
| INF 385R |
Survey of Digitization |
|
MSIS/PhD |
|
| INF 385S |
Digital Libraries |
This course explores the life cycle of a digital library/collection through various critical lenses and hands-on experiences. The objective of the course is for students to obtain a solid understanding of the theoretical frameworks, technical processes, and technologies needed to build meaningful, ethical, and reusable digital libraries. |
MSIS/PhD |
- Metadata Principles Standards And Schemas
- Machine Learning Methods And Ethical Considerations For Their Use In Digital Libraries
- Approaches To Connect Digital Libraries To Various Communities And Audiences
- Ethical And Practical Issues That Emerge When Developing a Digital Library
- Issues Of Representation In Digital Libraries
- Digital Humanities Praxis
|
| ISP 385T |
Topics in Information Security and Privacy |
|
ISP/(formerly) MSIMS |
|
| INF 385T |
Special Topics in Information Science |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: AI in Health |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Designing User Interfaces for Children |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Responsible Data Management |
Explore common data collection, management, and sharing practices in information technology and emerging technologies, such as search engines and AI systems. Students will read papers and engage in discussions about the pros and cons of established data practices and learn about the three main components of responsible data management: 1) consent and ownership, 2) privacy and anonymity, and 3) broader impact. Students will also practice how to collect data, make data-driven decisions, and design data-driven products through group projects as UX designers, researchers, and data scientists. The course will bring in interdisciplinary perspectives with guest speakers from archive science, engineering, and respponsible AI, to provide a holistic view of broader data ecosystems and infrastructures. |
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Quantifying UX |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: UX and Product Management |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Javascript Programming |
This course is tailored for graduate students in Information Science who wish to deepen their understanding and skills in JavaScript, a cornerstone technology of the web. The course bridges theoretical concepts with practical application, preparing students to tackle complex problems in data processing, visualization, and web development within the realm of Information Science. The course incorporates multiple ways of learning including: readings, lectures, class discussion, in-class pair programming exercises, and project-base learning. Upon completion of this course, students will: • Gain an in-depth understanding of JavaScript's core concepts, including ES6+ features, asynchronous programming, and the event loop. • Learn to efficiently manipulate and process data using JavaScript, leveraging its interaction with APIs, and other web technologies. • Develop skills in creating interactive and dynamic data visualizations using packages such as D3.js or and other JavaScript-based visualization tools. • Understand the principles of web security, performance optimization, and best practices in JavaScript coding standards. |
MSIS/PhD |
- Web Development
- programming
- data Science
- Object Oriented Programming
- front-end Development
- dynamic Web Pages
|
| INF 385T |
Special Topics in Information Science: Applied Experiments and Measurement |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Library Foundations |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Electronic Discovery and Digital Evidence |
Cross-listing of LAW 386N hosted by the School of Law. Explore the hottest topics in litigation today: electronic evidence and digital discovery (including emerging roles for AI). Evidence is information, and nearly all information is created, collected, communicated and stored electronically. Thus, the ability to identify, preserve, interpret, authenticate and challenge electronically stored information is a crucial litigation skill. This course seeks to reconcile the federal rules and e-discovery case law with the sources, forms and methods of information technology and computer forensics. Students will explore the roots of information technology, learn to "speak geek" see information with "new eyes" and acquire hands-on, practical training in finding electronic evidence, meeting preservation duties, guarding against spoliation, selecting forms of production, communicating and cooperating with opposing counsel and managing the volume and variety of digital evidence and metadata. You will use real world software tools and emerge with an understanding of the nuts and bolts of information technology and discovery, No prior background in law, computing or technology is required to succeed. |
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Nonprofit Management and Strategy |
This course examines key issues, challenges, and opportunities in the creation, management, and leadership of nonprofit organizations. Attention is given both to internal organizational issues and to nonprofits’ relationships with key external constituencies. Among the topics to be considered are nonprofit creation, mission management, organizational leadership, funding strategies, partnerships, and the impact of the public policy environment. Readings and discussion will examine nonprofits in varied fields of activity (such as human services and culture). Assignments and exercises will be employed to help develop presentation and grant writing skills. The course is organized in a seminar format and will employ exercises and cases to translate broad themes to practical issues related to nonprofit strategy and management. Guest speakers will periodically join us to share their own experiences building and running nonprofits (additional speakers may be added). |
MSIS/PhD |
- Management Of Nonprofit Organizations
- Organizational Leadership
- collaboration
- Nonprofit Organization Creation
- Impact Of Public Policy
- Leadership Of Nonprofit Organizations
|
| INF 385T |
Special Topics in Information Science: UX Hardware Design in the Corporate World |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Foundations of Data Science |
This class explores various data science models, both traditional and the state of the art techniques. The course is designed to provide mathematical and computational basis such as Linear Algebra, Optimization techniques, and probabilistic modeling for different types of machine learning models. The goal of the class is provide a foundational basis for data science techniques. The class focuses on PSETs and a final data science project. |
MSIS/PhD |
- Foundation for Machine Learning
- model Development
- Able To Understand How Different Models Work
- core Machine Learning Principles
|
| INF 385T |
Special Topics in Information Science: Knowledge Infrastructures and Management |
Infrastructure is all around us, even (or perhaps especially) where we do not actively consider or account for it. In this course, students will learn how knowledge infrastructures such as repositories, classification systems, databases, networks, standards, and/or metadata both shape and are shaped by governmental policy, institutional decision making, technical advances, and professional and personal value systems. We consider how infrastructure matters in professional, personal, and political life, and employ infrastructure as a lens to evaluate and understand the legal, ethical, and policy consequences of knowledge work, data science, and information management. In this course, students will employ an infrastructural perspective to evaluate programs, systems, policies, and/or organizations. We will explore the consequences and societal impact of knowledge work at both global and local scales, and consider how infrastructure might be built or refined to support societal or organizational goals such as social justice, privacy, innovation, health, or security. This is primarily a discussion-oriented course, with assessment primarily coming through a multi-stage, semester-long, project oriented around a program evaluation. |
MSIS/PhD |
- Program Evaluation
- Infrastructural Perspective
- Organizational Knowledge Management
- Critical Infrastructure Studies
- Information Policy
- Organizational Studies
|
| INF 385T |
Special Topics in Information Science: Prompt Engineering |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Critical Data Studies |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Product Management |
As an industry practitioner with over a dozen years of product management experience and a dozen years of experience as a UX professional, I'm really looking forward to teaching a course that melds these best of both worlds. This course will focus on the fundamentals of product management and the tools and techniques employed by product managers. Students will learn about the corporate product phase gates and all the cross-functional teams with whom product managers engage. The product journey will be examined exploring: 1) how successful products are conceived; 2) how they intercept and are matched with appropriate technologies at the right time; 3) how their markets are analyzed; 4) how their volumes, revenues and profits are forecast yielding their business cases; and 5) how their value propositions are communicated to corporate executives to be formally approved and added to a company’s product roadmap. Furthermore, software and hardware product development processes will be investigated with an emphasis on how UX professionals can help streamline these processes and deliver user experiences that delight customers. This will have the effect of strengthening the product’s business case and ultimately the product’s return on investment (ROI), providing an evangelization opportunity for the product, the company, the product manager, and the UX professional. |
MSIS/PhD |
- Product Management
- Product Financial Acumen
- Cross-Functional Team Engagement
- Market Modeling & Analysis
- Product Business Case Development
- Value Proposition
|
| INF 385T |
Special Topics in Information Science: Civic Engagement and Technology |
Civic engagement involves joining with others to identify and address issues facing a community. Examples include volunteering to clean up a park, participating in a town hall meeting, and voting. Conversations about civic issues emerge in many public and private spaces, including public libraries, coffeeshops, and through group messaging platforms, like WhatsApp. This course will investigate how computing systems have been used to help people surface issues in various ways---from community sensing systems to crowdsourcing budget issues---as well as address issues through online discussion, mutual-aid, and coordinating volunteer networks. Technology can serve as a force multiplier for civic engagement; however, there are important considerations related to their design, deployment, and sustaining them over time. Civic technology is embedded within a policy, political, and technical environment that can be tricky to navigate. Many people also lack access to the time and training to fully engage with a technology; failure to recognize these barriers related to the “digital divide” can result in systematically preventing some groups of people from participating in civic activities. Additionally, there may be unanticipated risks associated with the way that a civic technology collects, manages, and shares personal as well as group level information. These ethical issues deserve special consideration in a civic engagement and socio-technical context. |
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Explainable Artificial Intelligence |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Rapid Prototyping and Lean UX Methodology |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Intersections of Surveillance and Society |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Inclusive Design for Accessible Technology |
This course introduces the theory and practice of inclusive design principles for developing accessible technology. Inclusive design focuses on understanding the diversity of human characteristics (e.g., age, gender, race/ethnicity, disability, etc.) and applying a human-centered approach in designing technology to satisfy user requirements. Students will learn to use inclusive design processes to recognize user characteristics, discover user needs, produce design solutions, and develop prototypes during this course. Topics include, but are not limited to, inclusive design, ability-based design, disability-related terminology, and assistive technologies. Students will be required to engage in class discussions, complete in-class and homework assignments, give oral presentations, work in small groups, and complete a semester project. This course assumes students will have prior knowledge or experience in user experience (UX) design and/or human-computer interaction. No prior programming experience is required. |
MSIS/PhD |
- Inclusive Design
- accessible Design
- ux Portfolio
- inclusive Design
- Design Methodologies
- project-based Approach
|
| INF 385T |
Special Topics in Information Science: Ethnography and Socio-Technical Futures |
Ethnographic research has found application and acceptance across various academic disciplines as well as industries. This course aims to introduce fundamental tenets of ethnographic methodology for investigating sociotechnical systems. Its foundation rests on interdisciplinary perspectives and anthropological insights, while simultaneously aligning with contemporary advancements such as design and speculative ethnography. The role of the future has perpetually held a central position in the utilization and shaping of technologies and information systems. A recurring narrative involves positioning a specific technology or system as "revolutionary" or "the future of" a certain domain. Adopting an ethnographic approach, this course seeks to critically examine sociotechnical imaginaries. Its objective is to glean insights from diverse communities, offering guidance in the construction of futures that are more inclusive, equitable, and diverse. |
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Visual Design |
In this course, students will learn about the graphic designs role in UX design roles using industry-standard tools, Figma and Adobe Illustrator. This course is meant to engage and push students to think creatively to design and create portfolio-worthy polished designs. Students will learn to craft visually engaging and user-friendly digital experiences. By learning and understanding graphic design principles, including typography, color theory, and layout design, students will develop proficiency in designing and prototyping for a variety of experiences. These skills will be displayed through design exercises and projects. |
MSIS/PhD |
- Proficiency In UX/UI Design Tools
- Advanced Graphic Design Techniques
- Effective Visual Communication Strategies
- UX Graphic Design Principles
- Visual Communication
- Figma And Adove Illustrator Mastery
|
| INF 385T |
Special Topics in Information Science: Ethics of AI: Theorizing Good Systems |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Virtual Environments |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Disaster Planning and Response |
Disaster events, like floods and fires, can cause severe damage and loss in cultural heritage collections. How will you respond when disaster strikes? This course introduces students to the fundamental preservation concepts, planning strategies, and applied response techniques that make a difference. The class will evaluate the physical impact of fire, water, soot, mold, and insects on varied media, including books, flat paper, audiovisual materials, and other items. Disaster planning exercises model proactive methods to minimize damage. Hands-on response drills enable students to practice salvage techniques, and to triage and prioritize impacted materials. |
MSIS/PhD |
- Risk Assessment
- Disaster Salvage
- Agents Of Deterioration
- emergency Triage
- climate Change
|
| INF 385T |
Special Topics in Information Science: Data Semantics |
The current Web has experienced tremendous changes to connect data, people, and knowledge. There are a couple of exciting efforts trying to bring the Web to its full potential. The Semantic Web is one of them which is heavily embedded in the Artificial Intelligence area with the long-term goal to enhance the human and machine interaction by representing data semantics, integrating data silos, and enabling intelligent search and discovery. This course aims to provide the basic overview of the Semantic Web in general, and data semantics in particular, and how they can be applied to enhance data integration and knowledge inference. Ontology is the backbone of the Semantic Web. It models the semantics of data and represents them in markup languages proposed by the World Wide Web Consortium (W3C). W3C plays a significant role in directing major efforts at specifying, developing, and deploying standards for sharing information. Semantically enriched data paves the crucial way to facilitate the Web functionality and interoperability. This course contains three parts: Semantic Web language, RDF graph database (i.e., RDF triple store), and its applications. The fundamental part of the course is the Semantic Web languages. It starts from XML and goes further to RDF and OWL. The RDF graph database part introduces different APIs of Jena and its reasoners. The application part showcases current trends on semantic applications. Prerequisites Basic knowledge of HTML and XML is desired. Course Objectives This course aims to develop a critical appreciation of semantic technologies as they are currently being developed. At the end of this course, students should be able to: • sketch the overall architecture of the Semantic Web. • identify the major technologies of the Semantic Web and explain their roles. • illustrate the design principles of the Semantic Web by applying the technologies. • understand certain limitations of the Semantic Web technologies, and be aware of the kinds of services it can and cannot deliver. Course aims are achieved through: • Lectures covers basic knowledge of the Semantic Web • Projects applying semantic technologies to concrete problems of information delivery and use • Assignments of practicing and utilizing key semantic technologies |
MSIS/PhD |
- Knowledge Graph
- Ontology
- Graph Database
- XML
- RDF
- Ontology Reasoning
|
| INF 385T |
Special Topics in Information Science: Misinformation and Disinformation |
In this course, we will work to understand and address the challenges of misinformation, disinformation, and strategic manipulation in online environments. First, we will work to develop a deep understanding of the problem space. We will read and discuss existing research (both historical and contemporary) on how and why misinformation and disinformation spread. Next, we will explore the process, both personal and interpersonal, by which these issues can be approached and addressed in our own lives. This will involve reflecting on our own presuppositions, beliefs, and biases about information; and doing a project in which we apply the principles of Human-Centered Design to investigate different design directions for addressing misleading information. Students will gain important contextual knowledge and hands-on design experience that they can take into future professional domains (from education to policy to technology), where they can contribute to building more trustworthy information systems. |
MSIS/PhD |
- Media Literacy
- Design Thinking
- Prototyping & Qualitative User Research
- Escribe the “problem” Of Online Misinformation & Disinformation From Different Perspectives
- Design Interventions That Address Mis- And Disinformation
- Reflect On Your Own Information Diet & Identify Ways To Make Information Spaces Healthier Through Their Own Participation
|
| INF 385T |
Special Topics in Information Science: Data Storytelling |
Data storytelling is more than sharing data—at its most simple, it’s about designing charts and tables that make sense to the people who will be using them and help those people make better, faster decisions. While making a chart is as easy as a few clicks, doing it well requires much more. There is a science to how our eyes and minds process information as well as an art to making good graphic design choices. This comes together in an effective data presentation when the work is readable, usable, and above all actionable—not just aesthetically pleasing (though we’ll certainly address that too). As information professionals, we are well-positioned to understand and design for the needs of our users, to interrogate our data sources thoughtfully, and to ask future-thinking questions. This course will also draw on elements from cognitive psychology, user experience, data journalism, graphic design, business, and more. This multidisciplinary approach will take us on a grand tour that will touch on many aspects of data analysis and will serve as an excellent introduction to other data-oriented courses in the iSchool master’s program. |
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Mapping For The Common Good |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Digital Forensics and Incident Response |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Digital Equity, Justice, Opportunity, and Inclusion |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Accessible UX |
Accessible UX provides students working (or planning to work) in any area of UX, Digital Product Management, or Development with key skills and insights into the current accessibility landscape, in addition to specific guidelines and WCAG conformance specifications. The course is divided into foundational and tactical modules. The first half of the course provides a comprehensive overview of Accessibility and its importance. The second half of the course involves evaluating real-world applications and websites per the WCAG guidelines, producing Accessibility reports, planning studies (with persons with disabilities), and designing for accessibility. Course Goals 1. Become proficient in recognizing accessibility issues in key domains 2. Understand successful team and organizational behaviors in Accessibility 3. Learn how Accessible UX and Development is accomplished 4. Evaluate Web and App experiences using the WCAG framework from W3.org/WAI |
MSIS/PhD |
- WCAG Evaluation
- Accessible UX Design
- Disability Etiquette
- Designing for Accessibility
- Accessibility Research
- WCAG Guidelines
|
| INF 385T |
Special Topics in Information Science: Digital Text Analysis |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Community Engagement and Services |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: User Behavior and Search Experience |
The purpose of this course is to provide theoretical and practical foundations for information professionals who wish to design and evaluate search systems and services, taking user-centered approaches. This course explores search user interfaces, search behavior, search interaction, search user experience, search as learning, search for creativity, and research methods for understanding information behavior and evaluating search systems. Students will learn search behavior across various contexts, including academic and professional settings, everyday life, and digital learning environments. Students will gain insights into how people interact with, use, and evaluate information in a variety of application areas, such as web search engines, domain-specific search systems, digital libraries, social search platforms, and generative AI-based systems. |
MSIS/PhD |
- UX Research Of Search Systems
- qualitative Research Methods
- information System Evaluation And Experiments
- Human Information Behavior
- search User Experience
- interactions With Search Systems
|
