Three lecture hours a week for one semester.

Visual, numerical, textual, and verbal presentation of information based on fundamental theories of human information perception and communication. Examples may include tables, graphs, dashboards, infographics, and reports. Information Studies 385T (Topic: Presenting Information) and 385T (Topic 1) may not both be counted.

Concepts, principles, strategies, techniques, and tools for the visual presentation of large, high-density, or complex information resources from a variety of disciplines such as the sciences, humanities, law, arts, and business. Information Studies 385T (Topic: Visualization) and 385T (Topic 2) may not both be counted.

Introduction to the theory, methods, and applications of human computation and crowdsourcing; covering a breadth of key concepts as well as more specialized depth in one or more key sub-areas. Information Studies 385T (Topic: Human Computation and Crowdsourcing) and 385T (Topic 3) may not both be counted.

Introduction to the design of mobile interactions with emphasis on research and analysis, conceptual design, mobile interface prototyping, and the basics of interface evaluation and usability testing. Only one of the following may be counted: Information Studies 385C, 385T (Topic: Mobile Interaction Design), 385T (Topic 4).

A hands-on introductory overview of the applications, methods, tools, and technologies that constitute data science and data mining. Fundamentals of Python and R programming languages and relevant libraries. A semester project applying the learned methods and technologies to a specific dataset. Information Studies 385T (Topic: Data Mining) and 385T (Topic 5) may not both be counted. Three lecture hours for one semester.

An introduction to fundamental information modeling methods such as relational database design, conceptual modeling, markup systems, and ontologies. Information 385T (Topic: Information Modeling) and 385T (Topic 6) may not both be counted.

Introduction to the U.S. Intelligence Community (IC) and the world of espionage from a Library and Information Science perspective: how intelligence agencies collect, manage, and analyze data and information to produce actionable insights for policymakers. Information 385T (Topic: Intelligence Gathering) and 385T (Topic 7) may not both be counted.

Examination of contemporary information ethics issues applying a variety of ethical theories, including non-Western and feminist theories. Information 385T (Topic: Information Ethics) and 385T (Topic 8) may not both be counted.

An introduction to working with data - reading a variety of formats, designing a database schema, and introductory programming skills for inserting, querying, and transforming of data. Information 385T (Topic: Data Wrangling Excel SQL Beynd) and 385T (Topic 9) may not both be counted.

Introduction to the design and production of useful and elegant interactive experiences, including iterative design, prototyping, and user testing. Information Studies 385T (Topic: Interaction Design) and 385T (Topic 10) may not both be counted.

Examine the opportunities and challenges for using crowdsourcing to teach computers to "see". Information Studies 385T (Topic: Crowdsourcing CPU Vision) and 385T (Topic 11) may not both be counted.

Identify and address a variety of ethical challenges related to AI and its applications. Apply a broad range of ethical theories, including non-Western and feminist theories, to contemporary issues in the design, development, and deployment of AI-based systems. Information Studies 385T (Topic: Ethics of AI: Good Systems) and 385T (Topic 12) may not both be counted.

Introduction to combining human and machine intelligence to benefit people and society. Explore cutting-edge research on a number of subjects related to human-AI interaction, including the psychological and societal impacts of AI as well as design guidelines and methods for human-centered AI. Information Studies 385T (Topic: Human-AI Interaction) and 385T (Topic 13) may not both be counted.