Courses

Elementary course, equivalent to SPAN V1101 or F1101. Fundamental principles of grammar; practice in pronunciation. Reading and conversation are introduced from the beginning. Use of the language laboratory is required.

Elementary course, equivalent to SPAN V1101 or F1101. Fundamental principles of grammar; practice in pronunciation. Reading and conversation are introduced from the beginning. Use of the language laboratory is required.

Indigenous people in Ecuador, which represent about 7% of the Ecuadorian population (United Nations, 2015), are disproportionately poor compared with the rest of the population. In 2008 the country embarked on an effort to improve their situation by creating and approving a new constitution. Despite all of these efforts, indigenous people continue to struggle in Ecuador. For indigenous women specially the battle goes beyond the economic hardship, as they face domestic violence and abuse in a daily basis. 

The proposed course is designed to provide students with a unique one-to-one interaction with Spanish native speakers in three different sites: the Ecuadorian Amazon Rainforest Reservation of Papallacta, the Reservation of Mandaripanga, and the Runatupari Community in the Andean Region of Ecuador.  It aims to:

1. Explore, learn and document the work some indigenous groups have been doing since the new constitution was approved back in 2008.

2. Provide students with a service-learning opportunity working hand in hand when possible with women community leaders at the different sites.

3. Learn about how their communities work to preserve their resources and maintain a sustainable culture.

4. Immerse themselves in the Spanish language and culture by interacting, sharing, and living with native Spanish speakers.

5. Have student produce a focused final essay linking the key concepts from the readings and their lived experiences in the communities visited.

Prerequisites: some high school algebra. Designed for students in fields that emphasize quantitative methods. This course satisfies the statistics requirements of all majors except statistics, economics, and engineering. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, confidence intervals, and hypothesis testing are taught as aids to quantitative reasoning and data analysis. Use of statistical software required. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.

Prerequisites: working knowledge of calculus (differentiation and integration). Designed for students who desire a strong grounding in statistical concepts with a greater degree of mathematical rigor than in STAT W1111. Random variables, probability distributions, pdf, cdf, mean, variance, correlation, conditional distribution, conditional mean and conditional variance, law of iterated expectations, normal, chi-square, F and t distributions, law of large numbers, central limit theorem, parameter estimation, unbiasedness, consistency, efficiency, hypothesis testing, p-value,confidence intervals. maximum likelihood estimation. Satisfies the pre-requisites for ECON W3412.

Prerequisites: the project mentors permission. This course provides a mechanism for students who undertake research with a faculty member from the Department of Statistics to receive academic credit. Students seeking research opportunities should be proactive and entrepreneurial: identify congenial faculty whose research is appealing, let them know of your interest and your background and skills.

Prerequisites: A good working knowledge of calculus, including derivatives, single and double, limits, sums and series. Life is a gamble and with some knowledge of probability / statistics is easier evaluate the risks and rewards involved. Probability theory allows us take a known underlying model and estimate how likely will we be able to see future events. Statistical Inference allows us to take data we have seen and estimate the missing parts of an unknown model. The first part of the course focus on the former and the second part the latter.

Prerequisites: STAT W3105 Intro. to Probability or STAT W4105 Probability, or the equivalent. Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.