iBerry

probability theory & statistics with applications to engineering problems primarily chosen from areas of communications, control, signal processing & computer engineering: syllabus, books, exams, slides

Fundamental Concepts of Mathematics (Definitions, Proofs, Sets, Functions, Relations), Discrete Structures (Modular Arithmetic, Graphs, State Machines, Counting), Discrete Probability Theory: readings, course download

surveys & reviews important elements of current computer technology, self-directed learning skills applied to effective use of several important engineering productivity tools: objectives, course outline, study guide, lab, discussion, multimedia, links

current and potential applications of information technology in electronic commerce, document representation in form of XML, XSL, DTD's, knowledge discovery using metadata & data mining, data management as in digital libraries & electronic document management, trading including deliberative, spontaneous & auctions, security (public keys, PKI, digital signatures, etc)

focuses on use of modern computational & math, linear systems as basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, differential-algebraic (DAE) systems, probability in physical modeling, statistical analysis of data & parameter estimation, finite difference & finite element techniques for converting partial differential equations: syllabus, readings, tools