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Courses

697 - Master's Thesis Option Program - 1st Semester

Master's Thesis Option Program - 1st Semester --- As a professional program in a research institution, the School of Information recognizes both the value of engaged learning and the value of research-oriented activities. Drawing on the substantial backgrounds of our faculty as research scholars and mentors, UMSI offers an opportunity for master's students to spend part of their second year at UMSI writing a master's thesis.

698 - Master's Thesis Option Program - 2nd Semester

Master's Thesis Option Program - 2nd Semester --- As a professional program in a research institution, the School of Information recognizes both the value of engaged learning and the value of research-oriented activities. Drawing on the substantial backgrounds of our faculty as research scholars and mentors, UMSI offers an opportunity for master's students to spend part of their second year at UMSI writing a master's thesis.

699 - MSI Mastery Courses

MSI Mastery Courses --- These courses are special types of courses that require students to demonstrate synthesis of the major theories, methods, and approaches to inquiry and/or schools of practice necessary for entry into a particular career in the information professions.

701 - Doctoral Foundations Seminar

Doctoral Foundations Seminar --- This course will provide students with a substantial level of understanding of key topics in the interdisciplinary field of information. This seminar will also provide students with an understanding of the culture of research. Key components include: Research as Occupation, Discovery and Synthesis, and Substance and Framing.

702 - Seminar in Organizational Studies

Seminar in Organizational Studies --- This seminar provides a forum for the discussion of research and theory about organizations and organizational processes. In keeping with its interdisciplinary character, the seminar will consider both macro and micro-processes and their intersection. Presentations will be made by faculty and advanced graduate students from within the university, as well as from other universities and centers for research on organizations.

705 - First Semester Experience

First Semester Experience --- This required course will expose first-semester students to a wide range of information that will be useful as they navigate the UMSI doctoral program, the research process, and academic culture. The seminar will be led by the Doctoral Program Director but will include visits from other faculty, students, staff, and campus resource representatives.

706 - Researching and Writing a Critical Literature Review

Researching and Writing a Critical Literature Review --- Learning from existing research is a fundamental part of scholarship. This course will support each participant in building and organizing a personal knowledge base of published research and related resources for a scholarly agenda they choose to pursue, in critically evaluating the knowledge base for what can be learned and whose knowledge counts, and in using the knowledge base to support the learning of others.

710 - Special Topics: Research Seminars in Information

Special Topics: Research Seminars in Information

719 - Knowledge/Power/Practice in Science, Technology, and Medicine

Knowledge/Power/Practice in Science, Technology, and Medicine --- The graduate seminar provides a comprehensive introduction to the major themes and issues in the field of Science and Technology Studies (STS, or S&TS). Drawing on scholarship in history, sociology, anthropology, and information studies, we will mix theoretical material with more empirically oriented studies. The course will focus particularly on the relation between social, political, and cultural contexts and the development of ideas, practices, tools, and objects within science, technology, and medicine.

721 - Data Mining: Methods and Applications

Data Mining: Methods and Applications --- With the explosive growth of information generated from different sources, in a variety of formats, and with various qualities, information analysis has become challenging for researchers in many disciplines. Automatic, robust, and intelligent data mining techniques have become essential tools to handle heterogeneous, noisy, nontraditional, and large-scale data sets. This is a doctoral seminar course of advanced topics in data mining. The course provides an overview of recent research topics in the field of data mining, the state-of-the-art methods to analyze different genres of information, and the applications to many real world problems. The course will highlight the practical applications of data mining instead of the theoretical foundations of machine learning and statistical computing. The course materials will focus on how the information in different real world problems can be represented as particular genres, or formats of data, and how the basic mining tasks of each genre of data can be accomplished using the state-of-the-art techniques. To this end, the course is not only suitable for doctoral students who are doing research in data mining related fields, but also for those who are consumers of data mining techniques in their own disciplines, such as natural language processing, network science, human computer interaction, economics, social computing, sociology, business intelligence, and biomedical informatics, etc.