An advanced course in the chemistry of carbon compounds, with special reference to polyfunctional compounds, heterocycles, techniques of literature survey, stereochemical concepts, and physical tools for organic chemists.  Spring semester.

Topics of current interest selected by you are to be investigated from an advanced point of view.

Topics of current interest in biochemical research are discussed, such as: enzyme chemistry, biochemical genetics and development, cellular control mechanism, biochemistry of cell membranes, bioenergetics, and microbiology.

The objective of the course is to provide the students with exposure to the geotechnical nature of environmental problems. The topics covered include: principles of geochemistry, contaminant transport and hydrogeology; an overview of landfill liners and other disposal facilities and their design, construction, safe operation, performance monitoring, structural and physicochemical stability; an overview of the general principles governing the design, implementation and monitoring of existing remediation technologies with special emphasis on stabilization/solidification, vapor extraction, bioremediation, soil washing, pump and treat, cover systems and alternative containment systems such as slurry walls. A concurrent laboratory section introduces the student to the chemical analyses, absorption behavior, mineralogical and crystallographical identification and characterization of various waste forms as they pertain to surface chemistry considerations. The main emphasis of the course consists of providing hands-on experience with analyses involving the use of spectrometric, X-ray diffraction and scanning electron microscope equipment.

 See EN654 course description.

This course integrates computer science and health informatics. It is the capstone course for students in the service-oriented computing program who choose the health informatics application domain. The course covers the history of health informatics, including discussions of protocols and standards, such as OSI, UDEF, and HL7; review of information access and evaluation, health care terminology and health care economics, and looks at system selection and evaluation in the areas of telemedicine, dental informatics, consumer health informatics, and hospital/clinical informatics. Special attention is given to Web services and mobile computing as they relate to the health care industry. The course includes extensive readings.

The course will provide the students with: (i) A theoretical 
understanding of the principles, concepts, and structures underlying 
game designs; (ii) An analysis of game specific engineering frameworks 
and architectures including software and hardware architectures, game 
play mechanics, design documentation, and production methodology; (iii) 
An introduction to the innovation processes and skills needed to 
formulate a viable design and take it from the idea stage to a 
published game.

This course examines the use of machine learning techniques in all 
stages of game design. Topics covered include environment and character 
modeling, motion synthesis, behavior learning, evolution and 
competition. The emphasis will be on cutting edge technology that 
utilizes the vast amounts of recorded game data as a basis for learning 
more realistic or more effective game design strategies. Advanced 
topics that will also be covered are gamebot identification in online 
games, as well as integration and evaluation of learning in games. 
Students will participate in groups to develop a game using principles 
learned in class. To complete the project, they will be required to 
implement and observe a representative set of the techniques covered in 
class.

Description of simple physical models which account for electrical conductivity and thermal properties of solids. Basic crystal lattice structure, X-ray diffraction and dispersion curves for phonons and electrons in reciprocal space. Energy bands, Fermi surfaces, metals, insulators and semiconductors, superconductivity and ferromagnetism.

Typical text: Kittel, Introduction to Solid State Physics.

Description of simple physical models which account for electrical conductivity and thermal properties of solids. Basic crystal lattice structures, X-ray diffraction, and dispersion curves for phonons and electrons in reciprocal space. Energy bands, Fermi surfaces, metals, insulators, semiconductors, superconductivity, and ferromagnetism. Fall semester.

Typical text: Kittel, Introduction to Solid State Physics

A lecture and laboratory course that introduces basic concepts in the design and operation of transmission electron microscopes and scanning electron microscopes as well as the fundamental aspects of image interpretation and diffraction analysis. Topics include: electron sources, electron optics, kinematic and dynamic theory of electron diffraction, and spectroscopic analysis.

A typical textbook is Goodhew and Humphreys, Electron Microscopy and Analysis.

Basic plasma physics; some atomic processes; and plasma diagnostics. Plasma production; DC glow discharges, and RF glow discharges; and magnetron discharges. Plasma-surface interaction; sputter deposition of thin films; reactive ion etching, ion milling and texturing, and electron-beam-assisted chemical vapor deposition; and ion implantation. Sputtering systems; ion sources; electron sources; and ion beam handling.

 Typical text: Chapman, Glow Discharge Processes; Brodie, Muray, The Physics of Microfabrication.

The principal areas of concentration include a review of
thermodynamic laws applying to closed systems, chemical potentials and
equilibria in heterogeneous systems, fugacity and activity functions,
solution thermodynamics, multicomponent metallic solutions, the
thermodynamics of phase diagrams and phase transformations.

Fall semester.

Fields and vector spaces; subspaces and quotient spaces; basis and dimension; linear transformations and matrices; determinants; and the theory of a single linear transformation.

Topics covered in the sequence MA 605-606 include: elementary number theory, basic group theory, Lagrange’s theorem, isomorphism theorems, solvability, direct products, Jordan-Holder theorem, Sylow theorems, basic properties of rings, quotient rings, field of quotients of an integral domain, polynomial rings, factorization, elementary properties of fields, field extensions, and Galois theory.

The MA 615-616 sequence covers topics in numerical analysis and numerical methods including: errors and accuracy; polynomial approximation; interpolation; numerical differentiation and integration; numerical solution of differential equations; least square and minimum-maximum error approximations; nonlinear equations; simultaneous linear equations; summing series, Fourier series, filter design, the frequency approach, design of numerical tools, and statistics of error analysis; eigenvalues and eigenvectors of matrices; and the orientation throughout is toward computers.

The objective of this course is to introduce the students to the basic results of convex analysis and optimization. The properties of nonlinear non-smooth optimization models will be analyzed. Topics include: separation and representation of convex sets, properties of convex functions, subgradients, optimality conditions, saddle points, constraint qualifications, Fenchel and Lagrange duality, and sensitivity analysis.  Examples of optimization models from probability, statistics, and approximation theory will be discussed, as well as some basic models from management, finance, telecommunications, and other fields.

Strategic games and Nash equilibrium, strictly competitive (zero-sum) games and max-minimization, sStrategic games with imperfect information (Bayesian games), extensive games with perfect information (bargaining and repeated games), extensive games with imperfect information and signaling games, coalitional games (the core, stable sets, and bargaining sets), and auctions.