Contact department for description. (Gen.Ed. AT)

See Department's website for description. (Gen.Ed. AL)

Studying canonic works (Shakespeare, A Thousand and One Nights, or Journey to the West) as well as readings in contemporary fantasy fiction, this course offers an exploration of fantasies as escape into strange realms where time and space are not our own. Explorations of fantastic voyages to learn about human desires and dreams, and the history they are grounded in. Interdisciplinary approach; historical, psychological, and formal study of fantasy literature. (Gen.Ed. AL)

Comparative Literature as literary theory and as academic practice. Nineteenth-century background and the rise of "literary studies"; traditional concepts of influence, periods, themes, genres, "extraliterary" relations, translation studies, and their development in modern theory. Questions of textuality, canonicity, cultural identity, the politics of cross-cultural literary images, metatheory, and institutional setting as they affect current practice.

A course on the theory and practice of cryptography. The main focus is on how crypto algorithms and protocols work, and how they can be applied in the real world. Prerequisites: Recommended: Courses in Discrete Mathematics and Finite Field Mathematics.

A course on the theory and practice of cryptography. The main focus is on how crypto algorithms and protocols work, and how they can be applied in the real world. Prerequisites: Recommended: Courses in Discrete Mathematics and Finite Field Mathematics.

Ethics and the role of the nurse are used as the contexts for the development of writing skills. The techniques of specific types of writing are learned through writing assignments, peer editing and instructor feedback.

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)

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)

Basic concepts (over real or complex numbers): vector spaces, basis, dimension, linear transformations and matrices, change of basis, similarity. Study of a single linear operator: minimal and characteristic polynomial, eigenvalues, invariant subspaces, triangular form, Cayley-Hamilton theorem. Inner product spaces and special types of linear operators (over real or complex fields): orthogonal, unitary, self-adjoint, hermitian. Diagonalization of symmetric matrices, applications.