Advanced seminar in special topics in computational and corpus approaches to the study of language; examples of prospective topics include: data visualization, computational simulation and modeling, advanced corpus construction and analysis. May be repeated under different subtitles to a maximum of six credits. This course may require LIN 740 taken concurrently.

Advanced seminar in special topics in syntax: Examples of prospective topics include ellipsis and anaphora, the dative alternation, comparatives, island constraints, etc. May be repeated under different subtitles to a maximum of 6 credits. This course may require LIN 740 taken concurrently.

Advanced seminar in special topics in phonology; examples of prospective topics include: prosodic categories, historical phonology, syllable structure, mergers and neutralization, coarticulation, etc. May be repeated under different subtitles to a maximum of six credits. This course may require LIN 740 taken concurrently.

Advanced seminar in special topics in historical linguistics; examples of prospective topics include: historical phonology; grammaticalization; analogical change; the evolution of alignment systems; language contact and language change; quantitative and computational approaches; deep reconstruction; language families and distant genetic relationship; universals of language change. May be repeated under different subtitles to a maximum of six credits. This course may require LIN 740 taken concurrently.

A laboratory course tied directly to an advanced seminar in linguistics at the 700 level, offering students the opportunity for guided application of the advanced theories and methods focused on in the seminar. The lab will provide an environment for individualized work with tools specific to each student's research question (within the framework of the seminar), while at the same time encouraging collaborative investigation and shared discovery. May be repeated to a maximum of five credits.

Examination of important issues and developments relating to creation, packaging, dissemination and use of social science information by various segments of society. Emphasis on understanding information needs of those who use social science information and information systems, source and services available to satisfy those needs.

Study of computer and communication technology used in modern information storage and retrieval systems. Consideration also given to managing microcomputer services, hardware evaluation and selection, and system security.

This course will provide a foundation in the area of data science based on data curation and statistical analysis. The primary goal of this course is for students to learn data analysis concepts and techniques that facilitate making decisions from a rich data set. Students will investigate data concepts, metadata creation and interpretation, general linear method, cluster analysis, and basics of information visualization. At the beginning, this course will introduce fundamentals about data and data standards and methods for organizing, curating, and preserving data for reuse.

Successive approximations and elementary existence theorems for scalar and vector equations, qualitative behavior of solutions as functions of initial conditions and parameters, linear systems with constant and periodic coefficients, stability theorems for second order linear and nearly linear equations, second order boundary value problems and regular singular point theory.

A self-contained course in n-dimensional analysis, including the general form of Stokes' theorem.