An introductory treatment of Fourier series and its application to the solution of boundary value problems in the partial differential equations of physics and engineering. Orthogonal sets of functions, Fourier series and integrals, solution of boundary value problems, theory and application of Bessel functions and Legendre polynomials.
General methods of combinatorial analysis with an emphasis on problem solving. Note: Designed for MAT(M) program. Not open for graduate credit to students in mathematics.
Control of discrete-time Markov processes by dynamic programming inventory theory. Computational approaches to control of Markov chains. State space methods: modeling of engineering and economic systems by linear stochastic difference equations. The discrete-time matrix Riccati equation, Kalman filtering. Optimal control of linear stochastic difference equations with complete or incomplete state information and with quadratic cost criterion.
A study of homomorphisms for groups, finite groups, solvable groups, nilpotent groups, free groups, and abelian groups.
Weak and weak-star topologies, reflexive spaces, convexity in linear spaces, operators, adjoint operators, spectral theory and Fourier transforms.
Laboratory analysis of the relationship between the properties and performance characteristics of fibers, yarns, fabric structures and finishes. Laboratory: two hours per week.
Examination of global sourcing strategies in retail merchandising. Includes assessment of political, social, economic and cultural influences critical to the sourcing process.
Selection, cost, expected performance and care of textiles used in residential and commercial interiors.
ancient to modern times. Emphasis on social, economic, technological and political effects on the evolution of textile fibers, fabric structures, color and design. Field trips.
This course introduces students to the fundamental concepts, analytical tools, and frameworks related to the challenges of globalization and international strategy. Open only to One Year MBA students.
