Information Course Schedule Spring 2005

Three hours of lecture per week. Prerequisites: No prior New Media production experience required.  Introduction to interdisciplinary study and design of New Media. Survey of theoretical and practical foundations of New Media including theory and history; analysis and reception; computational foundations; social implications; interaction, visual, physical, and narrative design. Instruction combines lectures and project-based learning using case studies from everyday technology (e.g., telephone, camera, web).

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

This course uses examples from various commercial domains — retail, health, credit, entertainment, social media, and biosensing/quantified self — to explore legal and ethical issues including freedom of expression, privacy, research ethics, consumer protection, information and cybersecurity, and copyright. The class emphasizes how existing legal and policy frameworks constrain, inform, and enable the architecture, interfaces, data practices, and consumer facing policies and documentation of such offerings; and, fosters reflection on the ethical impact of information and communication technologies and the role of information professionals in legal and ethical work.

7 weeks - 4 hours of laboratory per week. This course introduces software skills used in building prototype scripts for applications in data science and information management. The course gives an overview of procedural programming, object-oriented programming, and functional programming techniques in the Python scripting language, together with an overview of fundamental data structures, associated algorithms, and asymptotic performance analysis. Students will watch a set of instructional videos covering material and will have four hours of laboratory-style course contact each week.

Three hours of lecture per week for seven and one-half weeks. Letter grading only. Prerequisites: Consent of instructor required for nonmajors. Systems and project management, focusing on the process of information systems analysis and design. Includes such topics as systems analysis, process analysis, cost and statistical analysis, accounting and budgeting, and planning.

Three hours of lecture per week. The role of information and information technology in organizations and society. Topics include societal needs and demands, sociology of knowledge and science, diffusion of knowledge and technology, information seeking and use, information and culture, and technology and culture.

This course will provide an introduction to the field of human-computer interaction (HCI). Students will learn to apply design thinking to user experience (UX) design, prototyping, & evaluation. The course will also cover special topic areas within HCI.

This course addresses concepts and methods of user experience research, from understanding and identifying needs, to evaluating concepts and designs, to assessing the usability of products and solutions. We emphasize methods of collecting and interpreting qualitative data about user activities, working both individually and in teams, and translating them into design decisions. Students gain hands-on practice with observation, interview, survey, focus groups, and expert review. Team activities and group work are required during class and for most assignments. Additional topics include research in enterprise, consulting, and startup organizations, lean/agile techniques, mobile research approaches, and strategies for communicating findings.

Three hours of lecture per week. Introduction to legal issues in information management, antitrust, contract management, international law including intellectual property, trans-border data flow, privacy, libel, and constitutional rights.

Three hours of lecture per week. Prerequisites: 202 or consent of instructor. Theories and methods for searching and retrieval of text and bibliographic information. Analysis of relevance, utility. Statistical and linguistic methods for automatic indexing and classification. Boolean and probabilistic approaches to indexing, query formulation, and output ranking. Filtering methods. Measures of retrieval effectiveness and retrieval experimentation methodology.

Three hours of lecture per week. Prerequisites: 202: Information Organization and Retrieval. This course introduces the discipline of Document Engineering: specifying, designing, and deploying electronic documents and information repositories that enable document-centric applications. These applications include web services, virtual enterprises, information supply chains, single-source publishing, and syndication in domains as diverse as healthcare, education, e-commerce, and e-government.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Specific topics, hours and credit may vary from section to section, year to year. May be repeated for credit with change in content.

Topics in information management and systems and related fields. Specific topics vary from year to year. May be repeated for credit, with change of content. May be offered as a two semester sequence.

Topics in information management and systems and related fields. Specific topics vary from year to year. May be repeated for credit, with change of content. May be offered as a two semester sequence.

Course may be repeated for credit as topic varies. Weekly group meetings. Prerequisites: Consent of instructor. Group projects on special topics in information management and systems.