This course will offer students an introduction to the primary subfields of applied ethics: business ethics, biomedical ethics, research ethics, environmental ethics, and food ethics. Unconventionally, however, it will do so through the thematic of the prison. The course will analyze prison labor, mental and physical healthcare in prison, the aging prison population, the long tradition of research on prisoners, issues of prison ecology, as well as prison food and hunger strikes.

This course will be taught by a visiting professor of Chinese from the Hampshire College China Exchange program, D. Song and supervised by K. Johnson. Students entering this class will be expected to have completed beginning Chinese or the equivalent of an intensive college-level first year Chinese language course. The main text for the semester will be Integrated Chinese Level 2 Part 1 (Third Edition). Emphasis will be placed equally on speaking, reading, and writing. An additional practice session will be added at a time that suits the students' schedule.

The course will introduce students to the research process to prepare them for conducting honors research. Topics will include: steps to building research proposal (literature search, generating hypotheses, hypotheses testing, methods, results, discussion, and statistical analyses). Faculty will present research going on in labs to familiarize students with department research areas.

Introduces concepts of project management for design and construction, including initiation, planning, implementation, monitoring, control, closeout, documentation, scope, budget and scheduling, teamwork and communication, contracts and negotiation, and risk management.

First semester of a two-semester sequence. Emphasis given to probability theory necessary for application to and understanding of statistical inference. Probability models, sample spaces, conditional probability, independence. Random variables, expectation, variance, and various discrete and continuous probability distributions. Sampling distributions, the Central Limit Theorem and normal approximations. Multivariate calculus introduced as needed. Prerequisites: MATH 132, or 136. (Gen.Ed. R2)