Students gain advanced experience in teaching all aspects of Animal Science courses. The learning objectives of AnSci 496T include the clear oral communication of scientific information, the formation of good pedagogical practice, and the design of assessment tools.

Introduction to basic statistics employed in the sociological analyses. Descriptive statistics, probability, sampling distributions, inferential statistics, tests of significance, contingency tables, measures of correlation, etc. (Gen.Ed. R2)

Introduction to basic statistics employed in the sociological analyses. Descriptive statistics, probability, sampling distributions, inferential statistics, tests of significance, contingency tables, measures of correlation, etc. (Gen.Ed. R2)

Introduces students to the principal activities involved in developing high-quality software systems. Topics include: requirements analysis, formal specification methods, process definition, software design, and risk management.

Programming languages are fundamental to computer science and everyday programming. This course is an in-depth introduction to the formal, logical foundations of programming languages.

The course will teach students algorithms that intelligently process, analyze and generate visual data. The course will start by covering the most commonly used image and shape descriptors. It will proceed with statistical models for representing 2D images, textures, 3D shapes and scenes. The course will then provide an in-depth background on topics of shape and image analysis and co-analysis. Particular emphasis will be given on topics of automatically inferring function from shapes, as well as their contextual relationships with other shapes in scenes and human poses.

Basic and advanced techniques for text-based information systems, including retrieval models, indexing and text representation, browsing and query formulation, data-intensive computing approaches, evaluation, and issues surrounding implementation. The course will include a substantial project such as implementation of major elements of search engines and applications.

Basic problems in the translation of programming languages focusing on theory and common implementation techniques for compiling traditional (Pascal-like) programming languages to produce assembly or object code for typical machines. Involves a substantial laboratory project in which the student constructs a working compiler for a considerable subset of a realistic programming language within a provided skeleton.

Basic problems in the translation of programming languages focusing on theory and common implementation techniques for compiling traditional (Pascal-like) programming languages to produce assembly or object code for typical machines. Involves a substantial laboratory project in which the student constructs a working compiler for a considerable subset of a realistic programming language within a provided skeleton.

Cross-listed with Math 513. A basic introduction to combinatorics and graph theory for advanced students in computer science, mathematics, and related fields. Topics include elements of graph theory, Euler and Hamiltonian circuits, graph coloring, matching, basic counting methods; generating functions; recurrences; inclusion-exclusion; Polya's theory of counting. Prerequisites: mathematical maturity; calculus; linear algebra; discrete mathematics course such as Comp-Sci 250 or Math 455. Math 411 recommended but not required.