INST314 Statistics for Information Science: Basic concepts in statistics including measure construction, data exploration, hypothesis development, hypothesis testing, pattern identification, and statistical analysis. The course also provides an overview of commonly used data manipulation and analytic tools. Through homework assignments, projects, and in-class activities, you will practice working with these techniques and tools to create information resources that can be used in individual and organizational decision-making and problem-solving.
fall 2021
INST630 Introduction to Programming for Information Professionals: An introduction to computer programming intended for students with no previous programming experience. Topics include fundamentals of programming and current trends in user interface implementation that are relevant to information professionals.
fall 2021
INFM603 Information Technology and Institutional Context: Application of communication and information technologies to support work processes, including technology-enhanced communication networks, computer-supported collaborative work, decision-support systems, interactive systems, and systems analysis. Acquisition of information systems and their integration into the organization.
fall 2021
URSP688Y / INST728G Smart Cities and Urban Data Analytics: This course frames cities as complex, adaptive, socio-technical systems where multiple academic disciplines are involved in developing a holistic, systems-level understanding of what makes them "smart". New smart-city paradigms focus on the dynamics of social interactions among people and cities. Urban data analytics are concerned with identifying, capturing, organizing, analyzing, and visualizing the streams of data that flow from these interactions using a variety of methods and tools. This course establishes a framework for understanding smart cities and for thinking critically about smart city issues in historical context from a systems perspective. From this shared foundation we will synthesize new understandings of what smart cities are along with the social and technological transformations involved as existing cities become “smart”.
spring 2022, 2021, 2020, 2019, 2018
URSP661 City and Regional Economic Development Planning: Spatial patterns of employment and populations, and models of urban and regional growth and decline. Focus on application of economic theory and urban planning techniques to issues of local economic development and planning.
spring 2021, 2020, 2019, 2018, 2014, fall 2012; TA 2009, 2010
URSP708 Community Planning Studio: The Community Planning Studio is a "capstone" course intended to provide students with an opportunity to apply their knowledge and skills to analyze current, pressing planning issues, in a selected community and to produce a report containing recommendations for addressing those issues. In essence, students act as a consulting team for a community client.
fall 2016, 2015, 2013, 2012
URSP688V Special Topics: Technology-Led Economic Development: This course will introduce students to the theory, analysis and practice of technology-led economic development (TLED). TLED focuses on increasing innovation and entrepreneurship, and very often involves leveraging knowledge institutions including universities and federal research laboratories. Students will develop a theoretical framework for approaching and evaluating TLED opportunities and shortcomings; how to analyze regional capacity and opportunities for TLED; and how to translate findings into a set of realistic TLED economic development policies and projects.
spring 2011
URSP688V Special Topics: Community-Based Economic Development: This course on Community-Based Economic Development will examine economic development theories, policies and practices from the local perspective, as it is often viewed by community development corporations (CDC’s) or other community based organizations (CBO’s).
spring 2013
MATH115 Introduction to Statistics: Introduction to Statistical Methods is an introductory college level statistics course that provides a basic understanding of data analysis. Topics covered include measures of central tendency and variation, probability, discrete and continuous distributions, estimation and testing of population parameters, and linear correlation and regression. Statistical literacy will be emphasized throughout the course. Students in the areas of education, nursing, business, and the arts and sciences will find that this course enhances and clarifies use and application of statistics in their specializations.
fall 2012