An introduction to the structure of American Sign Language (ASL): Comparison to spoken languages and other signed languages, together with practice in using ASL for basic communication.

This course provides an introduction to, and experience in, ongoing theoretical and empirical research in any field of linguistics. Supervision of the work is arranged by mutual agreement between student and instructor.

Basic issues in phonological theory. This course assumes familiarity with phonetic principles, as discussed in LINB09H3, and with phonological problem-solving methods, as discussed in LINB04H3.

In this course, students will develop skills that are needed in academic writing by reading and analyzing articles regarding classic and current issues in Linguistics. They will also learn skills including summarizing, paraphrasing, making logical arguments, and critically evaluating linguistic texts. They will also learn how to make references in their wiring using the APA style.

Core issues in syntactic theory, with emphasis on universal principles and syntactic variation.

An introduction to the role of meaning in the structure, function, and use of language. Approaches to the notion of meaning as applied to English data will be examined.

An introduction to linguistic typology with special emphasis on cross-linguistic variation and uniformity in phonology, morphology, and syntax.

An introduction to the research on differences between women and men in how they use language and how they behave in conversational interaction, together with an examination of the role of language in reflecting and perpetuating cultural attitudes towards gender.
Same as WSTC28H3

This course provides students with advanced statistical methods in linguistics and psycholinguistics. Specifically, an introduction to multiple linear regression (MLR) and its applications in linguistic and psycholinguistic research are presented. The course covers the data analysis process from data collection, to visualization, to interpretation. The goal is to provide students with the theoretical and practical skills needed to reason about and conduct MLR analyses.

This course focuses on computational methods in linguistics. It is geared toward students with a background in linguistics but minimal background in computer science. This course offers students a foundational understanding of two domains of computational linguistics: cognitive modeling and natural language processing. Students will be introduced to the tools used by computational linguists in both these domains and to the fundamentals of computer programming in a way that highlights what is important for working with linguistic data.

A study of pidgin and Creole languages worldwide. The course will introduce students to the often complex grammars of these languages and examine French, English, Spanish, and Dutch-based Creoles, as well as regional varieties. It will include some socio-historical discussion.
Same as FREC47H3.

An introduction to the phonetics, phonology, word-formation rules, syntax, and script of a featured language other than English or French. Students will use the tools of linguistic analysis learned in prior courses to examine the structural properties of this language. No prior knowledge of the language is necessary.

This course provides an opportunity to build proficiency and experience in ongoing theoretical and empirical research in any field of linguistics. Supervision of the work is arranged by mutual agreement between student and instructor. For any additional requirements, please speak with your intended faculty supervisor. Students must download the Supervised Study Form, that is to be completed with the intended faculty supervisor, along with an agreed-upon outline of work to be performed., The form must then be signed by the student and the intended supervisor and submitted to the Program Coordinator by email or in person.

Note: This course does not satisfy any Linguistics program requirements.

Independent study and research in an area of interest to the student. Students must obtain consent from a supervising instructor before registering. Interested students should contact the Undergraduate Assistant for Linguistics for further information.

Independent study and research in an area of interest to the student. Students must obtain consent from a supervising instructor before registering. Interested students should contact the Undergraduate Assistant for Linguistics for further information.

Independent study and research in an area of interest to the student. Students must obtain consent from a supervising instructor before registering. Interested students should contact the Program Supervisor for Linguistics.

A reading and research independent study course on a topic of interest to the student. Students must obtain consent from a supervising instructor before registering. Interested students should contact the Undergraduate Assistant for Linguistics for further information.

Practical application of phonetic theory with special emphasis on instrumental and experimental techniques.

This course is concerned with modern sociolinguistic theory as well as methods of conducting sociolinguistic research including data collection and the analysis of sociolinguistic data. The theoretical approaches learned include discourse analysis, language variation, conversation analysis, and variationist sociolinguistics.

This course focuses on research methodologies (interviews, corpus collection, surveys, ethnography, etc.). Students conduct individual research studies in real-life contexts.

Practice in language analysis based on elicited data from second language learners and foreign speakers. Emphasis is put on procedures and techniques of data collection, as well as theoretical implications arising from data analysis.

A selection from the following topics: the number sense (neuroscience of numbers); numerical notation in different cultures; what is a number; Zeno’s paradox; divisibility, the fascination of prime numbers; prime numbers and encryption; perspective in art and geometry; Kepler and platonic solids; golden mean, Fibonacci sequence; elementary probability.

A conceptual and rigorous approach to introductory linear algebra that focuses on mathematical proofs, the logical development of fundamental structures, and essential computational techniques. This course covers complex numbers, vectors in Euclidean n-space, systems of linear equations, matrices and matrix algebra, Gaussian reduction, structure theorems for solutions of linear systems, dependence and independence, rank equation, linear transformations of Euclidean n-space, determinants, Cramer's rule, eigenvalues and eigenvectors, characteristic polynomial, and diagonalization.

Systems of linear equations, matrices, Gaussian elimination; basis, dimension; dot products; geometry to Rn; linear transformations; determinants, Cramer's rule; eigenvalues and eigenvectors, diagonalization.

A course in differential calculus for the life sciences. Algebraic and transcendental functions; semi-log and log-log plots; limits of sequences and functions, continuity; extreme value and intermediate value theorems; approximation of discontinuous functions by continuous ones; derivatives; differentials; approximation and local linearity; applications of derivatives; antiderivatives and indefinite integrals.

An introduction to the basic techniques of Calculus. Elementary functions: rational, trigonometric, root, exponential and logarithmic functions and their graphs. Basic calculus: limits, continuity, derivatives, derivatives of higher order, analysis of graphs, use of derivatives; integrals and their applications.

A conceptual introduction to Differential Calculus of algebraic and transcendental functions of one variable; focus on logical reasoning and fundamental notions; first introduction into a rigorous mathematical theory with applications. Course covers: real numbers, set operations, supremum, infimum, limits, continuity, Intermediate Value Theorem, derivative, differentiability, related rates, Fermat's, Extreme Value, Rolle's and Mean Value Theorems, curve sketching, optimization, and antiderivatives.

This is a calculus course designed primarily for students in management. The main concepts of calculus of one and several variables are studied with interpretations and applications to business and economics. Systems of linear equations and matrices are covered with applications in business.

A calculus course emphasizing examples and applications in the biological and environmental sciences. Discrete probability; basic statistics: hypothesis testing, distribution analysis. Basic calculus: extrema, growth rates, diffusion rates; techniques of integration; differential equations; population dynamics; vectors and matrices in 2 and 3 dimensions; genetics applications.

This course is intended to prepare students for the physical sciences. Topics to be covered include: techniques of integration, Newton's method, approximation of functions by Taylor polynomials, numerical methods of integration, complex numbers, sequences, series, Taylor series, differential equations.