Have we entered a new Era of Social Organization: the Era of Financialization? Financialization is the increasing role of financial motives, financial markets, financial actors, and financial institutions in the operations of domestic and international economies. We could add, that financialization also increases all of these roles in the interaction with society more broadly. If we have have entered a new era of financialization: what does this mean about the way our economy works? Does it mean that the economy serves finance instead of finance serving the economy?

This course provides an introduction to Econometrics. Econometrics applies economic theory and the tools of descriptive and inferential statistics to economic data to answer a wide variety of interesting questions. Econometrics theory and tools can be used to: describe the characteristics of a population; create hypotheses and test the predictions of a theoretical model; and estimate the statistical relationship between two variables. This course will introduce you to the theoretical foundations and empirical applications of multiple regression analysis.

Cartography is the art and science of making maps, which are a primary output of GIS analysis. At their best, maps are both content rich and intuitive. By looking at examples of effective maps and practicing creating and revising maps, this course aims to develop your skills as a cartographer. This seminar will focus on developing your map making skills and intuition.

Not available at this time.

Course aims to study advanced topics in ecological economics and sustainability. Students will be exposed to selected topics in the field through in-depth review and publishable reporting.

Not available at this time.

Description not available at this time

Contact department for description.

Contact department for description.

This laboratory course introduces the statistical computing language R and provides hands-on experience using R to screen and adjust data, examine deterministic functions and probability distributions, conduct classic one- and two-sample tests, utilize bootstrapping and Monte Carlo randomization procedures, and conduct stochastic simulations for ecological modeling.