Distribution and inference for binomial and multinomial variables with contingency tables, generalized linear models, logistic regression for binary responses, logit models for multiple response categories, loglinear models, inference for matched-pairs and correlated clustered data. Prerequisites: Previous course work in probability and mathematical statistics including knowledge of distribution theory, estimation, confidence intervals, hypothesis testing and multiple linear regression; e.g. Stat 516 and Stat 525 (or equivalent). Prior programming experience.

Seminar to inform students of all the different careers/options that are available within the Finance Industry.

This is a class devoted to the study of securing distributed systems, with blockchain-based cryptocurrencies serving as our real platform of interest. We'll start with the fundamentals of Lamport's, Fischer's, and Douceur's results that fence-in all consensus system, and discuss Byzantine fault tolerance. We'll also look at the efficiency of the network architectures for peer-to-peer;distributed system communication and attacks on their security, such as denial of service attacks. And we'll review relevant applied cryptography such as elliptic curves.

This is a class devoted to the study of securing distributed systems, with blockchain-based cryptocurrencies serving as our real platform of interest. We'll start with the fundamentals of Lamport's, Fischer's, and Douceur's results that fence-in all consensus system, and discuss Byzantine fault tolerance. We'll also look at the efficiency of the network architectures for peer-to-peer/distributed system communication and attacks on their security, such as denial of service attacks. And we'll review relevant applied cryptography such as elliptic curves.

This course surveys how cultural anthropologists have studied the big questions about food and culture. How and why do people restrict what foods are considered "edible" or morally acceptable? How is food processed and prepared, and what does food tell us about other aspects of culture like gender and ethnic identity? How have power issues of gender, class, and colonialism shaped people's access to food? How has industrialization changed food, and where are foodways headed in the future?

This course focuses on traditional Chinese novels written in the Ming and Qing dynasties (1368-1911). We will engage in close readings of masterworks of vernacular novels, ranging in genre from romance narratives to martial adventures, while paying attention to the origins and development of Chinese fiction.

The course will cover the technical foundations and use of today's communication networks, particularly the internet. It will also address key social, policy, economic, and legal aspects of these networks, their use (and abuse) and their regulation. This course covers computer science topics, but all material will be presented in a way that is accessible to an educated audience with or without a strong technical background. This course is not intended for Computer Science majors or minors; students interested with a major or minor-level treatment of this material should see COMPSCI 453.

The field of Data Science encompasses methods, processes, and systems that enable the extraction of useful knowledge from data. Foundations of Data Science introduces core data science concepts including computational and inferential thinking, along with core data science skills including computer programming and statistical methods. The course presents these topics in the context of hands-on analysis of real-world data sets, including economic data, document collections, geographical data, and social networks.

This course will be conducted inside the Hampshire County Jail and House of Corrections in Northampton and will enroll an equal number of students from UMass and students who are incarcerated in the facility. As a member of this course, you will be joining an international community of educators and students who are committed to dialogue and scholarly learning inside prisons and jails. This course is an interdisciplinary exploration of the critical, aspirational, artistic, and creative forms that Justice takes in literature and the humanities more broadly.

Basic ideas of point and interval estimation and hypothesis testing; one and two sample problems, simple linear regression, topics from among one-way analysis of variance, discrete data analysis and nonparametric methods. Prerequisite: Statistc 515 or equivalent.

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]