CS 261 Social Networks: Methods and Tools - The complex connectedness of the modern society is a multifaceted phenomenon resulting from the growing density of the human population, the advent of fast global mass transportation infrastructure, the emergence of global companies and markets, and spurred by the Internet and its applications such as the Web, Facebook and Twitter.
This course provides an introduction and overivew of operating system design, internals, and administration. Topics include classical operating systems (process management, scheduling, memory management, device drivers, file systems), modern operating systems concepts (kernel/microkernel designs, concurrency, synchronization, interprocess communication, security and protection), and operating system administration.
Students will study accepted research methodologies and scientific approaches in human nutrition and food systems. Emphasis is placed on understanding the research methods, study design, data collection, and evaluation of various nutrition related studies. Discussions include development of research aims and hypothesis, internal review board, collecting of primary and secondary data, measurement approaches, study designs, and key considerations in developing a thesis or practice-based special project.
This course will introduce the student to the role of intelligence analysis in U.S. national security policy-making. It will be discussed and put to practical use the various analytical methods and techniques that are used by analysts within the Intelligence Community.
This course explores diplomatic issues with developing and maintaining, securing, restricting and eliminating nuclear weapons.
A study of the relationship between industry performance and market structure, and the role and effect of the government's anti-trust policies.
This course rigorously examines the organization, financing, and management of the US health care system and programs, and emphasizes economic analysis contemporary health policy concerns. By the end of the semester, students should have the institutional knowledge and analytic tolls needed to contribute to current public policy debates about health and medical care. This course and ECO 724 Environmental Economics are the two courses that are the basis for the area in Environmental and Health Economics in the Ph.D. program in Economics.
Time series and stochastic processes, auto-correlation functions and spectral properties of stationary processes; linear models for stationary processes, moving average, auto-regressive and mixed autoregressive-moving average processes; linear nonstationary models, minimum mean square error forecasts and their properties; model identification, estimation and diagnostic checking.
An identification and analysis of current theories and programs of research in instructional systems design. Students will develop the skills necessary to conduct and write a scholarly literature review and identify potential areas and questions needing further study.
This course is designed to expand student understanding of the theory and practice of leadership, conflict management, and decision-making. It is also designed to focus on issues of cohesiveness, trust, motivation, vision, and goals. Students must integrate their personal ethics and definition of leadership in various course assignments and projects.
