Far View Distance Learning Courses 
Fall 2009
ENE 743 - Environmental Sampling and Analysis -- H (4:40 - 5:30 PM), Gregg 110, Kinner
Credits: 4.00.
Theory of analytical and sampling techniques used in environmental engineering. Topics include potentiometry, spectroscopy, chromatography, automated analysis, quality control, sampling design, and collection methods. Methods discussed in lecture are demonstrated in labs. Prereq: CHEM 404 and ENE 645 or permission. Lab. Writing intensive.
MATH 739\839 Applied Regression Analysis - - MW (M 4-5:30, W 4-6) DL Classroom, Ramsey
Credits: 4.00.
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, residual analysis and model selection, multicollinearity, nonlinear curve fitting, categorical predictors, introduction to analysis of variance, examination of validity of underlying assumptions. Emphasizes real applications with use of statistical software. Prereq: MATH 539 (or 644); or permission. Writing intensive.
MATH 755\855 Probability & Stochastic Proc - - MW (10-12:00) DL Classroom, Linder
Credits: 4.00. Introduces the theory, methods, and applications of randomness and random processes. Probability concepts, random variable, expectation, discrete and continuous distributions, stochastic processes, Markov chains, Poisson processes, moment-generating functions, convergence of random variables. Prereq: MATH 528 and 639 (or 644); or permission.
MATH 835 Stat Methods for Researchers - - MW (2-4:00 PM) DL Classroom, Ramsey
MATH 944 Spatial Statistics - - MW (12:40 - 2:00 PM) DL Classroom, Linder
Spring 2010
MATH 740/840 Design of Experiments I -- MW (4-6:00 pm) DL Classroom, Ramsey
Credits: 3.00; Specialized applied kinetics problems; catalysis; fast reaction and shock tubes; combustion and detonation processes; nonisothermal kinetics; heat and mass transfer in nonequilibrium, chemically reacting systems.
MATH 756/856 Principles of Statistical Inference -- MW (10-12:00) DL Classroom, Linder
Credits: 4.00;
Introduces the basic principles and methods of statistical estimation and model fitting. One- and two-sample procedures, consistency and efficiency, likelihood methods, confidence regions, significance testing, Bayesian inference, nonparametric and resampling methods, decision theory. Prereq: MATH 755; or permission.
MATH 796/896.04 Advanced Statistical Methods for Research -- MW (2-4:00 pm) DL Classroom, Ramsey
Credits: 4.00; New or specialized courses not covered in regular course offerings. Prereq: permission. May be repeated up to 8 credits.