Information Course Schedule Spring 2004
Graduate
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. 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. 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 or consent of instructor. Standards and practices for organization and discription of bibliographic, textual, and non textual collections. Design, selection, maintenance and evaluation of cataloging, classification, indexing and thesaurus systems for specific settings. Codes, formats and standards for data representation and transfer of data.
The design and presentation of digital information. Use of graphics, animation, sound, visualization software, and hypermedia in presenting information to the user. Methods of presenting complex information to enhance comprehension and analysis. Incorporation of visualization techniques into human-computer interfaces. Three hours of lecture and one hour of laboratory per week.
Three hours of lecture per week. Introduction to relational, hierarchical, network, and object-oriented database management systems. Database design concepts, query languages for database applications (such as SQL), concurrency control, recovery techniques, database security. Issues in the management of databases. Use of report writers, application generators, high level interface generators.
Three hours of lecture per week. Theory and practice of naturalistic inquiry. Grounded theory. Ethnographic methods including interviews, focus groups, naturalistic observation. Case studies. Analysis of qualitative data. Issues of validity and generalizability in qualitative research.
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.