Introduces students to practices in Information Science, focusing on techniques for representing information in various forms of data and infrastructure. Through design explorations, activities and small group projects, students will develop critical facility representing and transforming information, through techniques of data collection, generation, analysis and communication. Requisites: Requires enrollment in corequisite course of INFO 1112.
Expands students' perspectives on fundamental categories of human experience and helps them develop critical perspectives on how that experience is constructed Focuses on the ways in which experiences and worldviews reflect cultural and social differences. Studio format enables students to directly understand how systems of convention live in the simplest of representations. Requisites: Requires enrollment in corequisite course of INFO 1111.
Provides an introduction to thinking about human-centered design and the universal requirements of interactions with data, information and technologies. Studio experiences challenge students to consider the impact hat design choices in information and computing technologies have on a) enabling diverse audiences to access, manipulate and experience information, and b) how differences get encoded by data structures, ultimately reflecting biases. Requisites: Requires enrollment in corequisite course of INFO 1122.
Surveys key concepts and theories in Information Science, focusing on the ways information enables new ways of living, working and thinking. Students will critically examine texts, systems and interpretations of data from a variety of disciplinary perspectives that speak to how people, infrastructures and contexts constrain and enable uses of information. Requisites: Requires enrollment in corequisite course of INFO 1121.
Introduces principles of computational thinking through the manipulation, transformation and creation of media artifacts, such as images, sound and web pages. Students will be exposed to a high-level overview of algorithms, functions, data structures, recursion and object-oriented computer programming through a series of assignments that emphasize the use of computation as a means of creative expression.
Surveys concepts and techniques for characterizing and quantifying data. Students will learn to use different types of quantitative data, to summarize data with descriptive statistics, to measure similarity of different datasets, to interpret probabilities and statistical significance and to quantify and predict changes in data.
Facilitates career development through the disciplined reflection about and presentation of one's work using a variety of modalities across a variety of media. Students will be introduced to individuals and organizations representing a diversity of career paths in their chosen field.
Provides direct experience analyzing complex social systems of systems and develops students' ability to learn to listen for (and mediate among) diverse, discordant voices and values within larger communities, organizations and institutions. Employs a variety of qualitative research techniques in the studio, including interviewing, participant observation and ethnographic reflections on differences in communities of practice. Requisites: Requires enrollment in corequisite course of INFO 2132.
Surveys key concepts and theories in Information Science, fusing on the ways that communities, organizations and institutions influence the design and use of information. Students will critically examines texts, systems and interpretations of data from multiple disciplinary perspectives that speak to the complex interactions among the people and technologies that surround us and the ecosystems form by and through data. Requisites: Requires enrollment in corequisite course of INFO 2131.
Surveys techniques for representing data and expressing relationships among data, both at small scales (for example, via programmatic data structures) and at large scales (for example, in various kinds of database systems). Introduces fundamentals of algorithm analysis and the trade-offs involved in managing data using different approaches, tools and organizing principles. Requisites: Requires prerequisite course of INFO 1201 or CSCI 1300 or CSCI 1310 (minimum grade C-).
Introduces intermediate-level methods for quantitative data analysis, focusing on foundational concepts in probability and statistical inference along with complementary computational skills and tools. The course will cover basic probability concepts, common probability distributions and methods for estimating their parameters, multivariate regression with applications to forecasting and classification and a variety of methods of statistical significance testing. Requisites: Requires prerequisite course of INFO 1201 and INFO 1301 (all minimum grade C-).
Teaches students how to use information to identify interesting real world problems and to generate insight. Students will learn to find, collect, assemble and organize data to inspire new questions, make predictions and work towards solutions. They will learn to appropriately apply different methods (including computational, statistical and qualitative) for exploratory data analysis in a variety of domains. Requisites: Requires prerequisite course of INFO 2201 and INFO 2301 and INFO 1121 or INFO 2131 (all minimum grade C-). Restricted to students with 57-180 credits (Junior or Senior) Information Science (INFO) majors only.
Teaches students to communicate information to a wider audience and construct stories with data across a variety of domains. Students will learn to use data for rhetorical purposes, applying visual, statistical and interpretative methods. Students will learn to think critically about ethical and social implications of using data in expository media, including identification of bias. Requisites: Requires prerequisite course of INFO 1301 or INFO 2301 (minimum grade C). Restricted to students with 57-180 credits (Junior or Senior) Information Science (INFO) majors only.
Equips students for taking on leadership roles in the interdisciplinary context of information science. Students will learn to facilitate learning among students with diverse backgrounds and expertise, developing communication and mentoring skills and gaining exposure to a variety of learner-centered design strategies and pedagogical approaches. Enrollment is by invitation and at the discretion of the instructor. Requisites: Restricted to Information Science (INFO) majors only.
Provides research experience in information science. Students will contribute to the construction of new knowledge of novel systems, helping to answer current research questions or to solve contemporary problems in the domain. Enrollment is by invitation and discretion of the advising faculty member.
Introduces students to practices associated with successful advancement in a doctoral program, rigorous scholarship in Information Science and more expert and early participation in their scholarly community of practice.
Surveys foundational theories and concepts in Information Science. Students will learn to read and reflect critically about seminal texts, tracking their intellectual genealogies from a variety of originating disciplines to their appropriation by Information Science. Students will apply these theories to contemporary issues and problems. Requisites: Restricted to Information Science (INFO) Ph.D. graduate students only.
Introduces principles of research design and surveys the breadth of research methods appropriated by the field of information science. Students will explore the diversity of epistemological orientations that make up the field, that influence the types of often mixed research methods applied and that shape the kinds of questions that are and are not explored.
Introduces principles of computational thinking through the manipulation, transformation and creation of data artifacts used in research. Students will be exposed to a high-level overview of algorithms, functions, data structures, recursion and object-oriented computer programming through a series of assignments that emphasize the use of computation as a means of scholarship.
Introduces principles and practices from user-centered design disciplines and examines how those principles and practices intersect with contemporary issues in information science. Theory, research and exemplary practices from interaction, graphic, product, communication and experience design are introduced through readings, problems and case histories. Project provide direct experience with common design tools and processes.
