Prepares students to access, evaluate, and manage information to meet personal and academic needs. Focuses on personal information management, digital security/privacy, and ethical issues, including plagiarism, source citation, and fair-use.
The course will focus on manipulating, processing, cleaning, and crunching data in Python. Students will learn Python programming language and its data-oriented libraries to analyze structured data including tabular or spreadsheet-like data, multidimensional arrays (matrices), and multiple tables of data interrelated by key columns. As an introductory course to business analytics, the emphasis will not be on data analysis methodology, but on Python programming, libraries, and tools.
Fundamentals of information systems needed to achieve organizational, operational, informational, technological, managerial, and innovative functions are discussed. Evolving role of information systems in achieving and maintaining competitive advantage is evaluated.
Introduces the major concepts, principles, theories, issues and trends in information science.
Introduction to foundational and core concepts of human information behavior, including models of information seeking behavior, information needs and use, user-centered design, and human computer interaction.
This course presents ideas, advantages, and challenges of information organization and creating and ensuring access to information in the 21st century.
An introduction to modern methods for defining, planning, managing, and controlling substantial projects in information organizations. Computer technology is used to support the efficient management of interdependent activities.
This course provides students with an introductory set of tools for data and number literacy. The course introduces concepts related to the management, analysis, and presentation (figures and graphs) of data. While not a formal statistics class, you will be introduced to fundamental concepts in statistics and statistical reasoning as well as the use of statistical software.
Examines theories and practical models in system-centered Information Management Systems (IMS). Introduces IMS design, Information retrieval, database systems, storage and manipulation of text, multimedia information and data, and web search engines.
Covers the ethical, legal, and policy foundations of contemporary information technology and information services.
A survey of key concepts in the field of Community Informatics, which focuses on how communities access, learn, and apply information and communications technologies (ICTs). Practical studies in this area consider how social, cultural, political, and economic factors influence the adoption and use of ICTs among members of specific communities.
Structured Intelligence Analysis is designed for information professionals to complement their theory-based courses through a field of application with a scope beyond existing resources that develop a structured process of information “to make judgments on incomplete and ambiguous information” as applied by government and business intelligence communities.
Supervised work experience for students in information science.
A culminating experience for information science majors, which requires a field-based project and the development of a graduation portfolio.