Introduction to the fundamentals of numerical analysis: error analysis, approximation, interpolation, numerical integration.
Emphasizes fundamentals of data analysis of signals from random environments using Fourier transforms, noise filtering, statistics and error analysis using MATLAB.
Fundamentals of economic analysis.
Introduction to the fundamentals of data analysis.
Some of the issues covered include fundamentals of spatial analysis; overview of GIS technology and applications; designing a GIS project; gathering and analyzing data; and creating thematic maps.
Covers fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, interchange of limit operations.
Three options offered, each covering fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, interchange of limit operations.
ECON 117 introduces students to basic aspects of working with data to answer economic questions, as well as to the fundamentals of statistical analysis.
In consultation with feedback from their adopters, the authors have concentrated on the fundamentals of strategy analysis and the underlying sources of profit.
This course covers the fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, and the interchange of limit operations.
Multi-level variance structure is fundamental to analysis of variance (ANOVA) [ 8], and linear modeling that spans groups.
