The goal of the course is to familiarize students with foundational concepts and theories surrounding the socio-technical approach to the study of information systems. The course begins with an overview of the new information environment, which is characterized by networked and open information systems that facilitate communication and collaboration between end users. Students will examine several systems and types of systems with which they are likely to be familiar, including:
Through the analysis of these social information systems, students will become familiar with the socio-technical approach. In particular, they will examine what is “social” about these systems, and how systems’ social characteristics interact with their technical characteristics.
The prevalence of social computing brings about the need to achieve a deeper understanding of how social technologies influence human behaviors. At the same time, information professionals must determine how to improve existing system designs and to devise new models based on the understanding of human behavior in the context of such technologies.
This course provides students with an overview of modern social computing services. In line with the philosophy of the Program, we adopt the socio-technical approach, in which we view information systems as consisting of both technical (e.g., hardware and software) components and social components (e.g., system end users and the interactions among them). Having identified these components, we consider the social components of such systems in more detail.
In particular, we will examine in detail the following three areas of social computing:
We will also look at special topics, including cultural issues / cultural differences in social information systems.
This is a required course for masters students and provides an overview of the history of media and journalism, examining their role in modern society.
This course is for doctoral students who require an understanding of methods for the collection and analysis of quantitative data. Students work intensively with datasets relevant to communication and information, using statistics packages (SPSS, Stata). Emphasis is placed on communicating one’s research questions, methodology and results, as well as on interpreting those of other researchers.
This course examines qualitative, quantitative as well as mixed methods approaches from a social science perspective. In the first part, we focus on formulating clear research questions. We also examine the use of theory in informing the development of questions and the choice of research design. The second part considers various designs and methods, and examines their potential to answer the research questions proposed.
This course is an introduction to statistics and data analysis tailored to the needs of communication and information professionals. Emphasis is placed on developing intuition as to which analyses are appropriate given one’s questions of interest, as well as how to interpret and communicate the results of analyses.
This course is an introduction to the complex task of designing, customizing, and building a single-source content management system for delivering content to Web and print simultaneously from database-housed source material. The course also covers technologies and methods for effective project management.
This course is a graduate seminar that introduces technical communicators and information architects to leading theories, methods and technologies that facilitate the sharing, search and retrieval of information in Web-based environments.
This course is required for all undergraduate business majors and provides an introduction to computer technology as well as its applications, development and management in organizational contexts.
This course is an elective for business majors, which aims to achieve the groundwork knowledge, skills and techniques required for the effective management of modern information technology systems in an organization.