Far View Distance Learning Courses 
Summer 2008
CS 403 Online Network Exploration -- MW (6:10 - 8:30 p.m.) Iddles L2, Gildersleeve
Introductory course covering basic topics relating to the Internet. Subjects discussed include e-mail, newsgroups, mailing lists, file transfer, telnet, the World Wide Web, Web browsers, search engines, and hypertext markup language (HTML). A large portion of the course focuses on Web publishing. Security and privacy issues, and commerce and legal issues are also discussed. Students are expected to have no previous experience with HTML. They will acquire new skills as well as broad understanding of the technical possibilities of living and working in an online society and its implications. No credit if credit earned for CIS 405
ECE 603 Electromagnetic Fields & Waves I -- MTWRF (10:10 a.m. - 12:10 p.m.) Kings 320, Chamberlin
Maxwell's equations in integral and differential form with applications to static and dynamic fields. Uniform plane waves in free space and material media. Boundary conditions; simple transmission line theory; parallel plate and rectangular waveguides; simple radiating systems. Prereq: PHYS 408; ECE 544 or equivalent.
(Ten-week sessions: May 21-July 27)
MATH 426 Calculus II-- MWR (6-8:00 PM) Kingsbury N129, Li
Credits: 4.00.
Second course in calculus of one argument, techniques and applications of integration, polar coordinates, and series. Prereq: MATH 425.
MATH 528 Multidimensional Calculus-- MWF (12-2:00 PM) TBD, Orhon
Credits: 4.00.
Partial differentiation; composite functions and chain rules; maximum and minimum; transformations; vector algebra; vector functions; gradient, divergence, and curl; curves and surfaces; multiple, line, and surface integrals; divergence, Green's and Stoke's theorem. Prereq: MATH 426.
MATH 644 Statistics for Engineers & Scientists--MWR (4-6:00 PM) Kingsbury S320, Ramsey
Credits: 4.00. Introduces the design of controlled experiments and the collection and analysis of scientific data. Use of a statistical software package is an integral part of the course; interpreting and drawing conclusions from standard software output is emphasized. Graphical data analysis, statistical process control, regression and correlation, multifactor experimental designs, confidence intervals, hypothesis testing. (Not offered for credit if credit is received for MATH 539.) Prereq: MATH 426.
MATH 737/837 Statistical Methods for QI--MW (4-7:00 PM) HEW 301, Kneisley
Credits: 4.00.
Introduces scientific data collection and analysis with an emphasis on industrial and service provider applications. Topics include: descriptive and graphical statistical methods; confidence intervals and hypothesis testing; regression; ANOVA; statistical process control (SPC); failure modes and effects analysis (FMEA); Six-Sigma concepts and methods; introduction to Reliability; quality tools, MSA, and process capability studies; introduction to Lean methodology, such as 5S, Kaizen, and VSM. Use of a software package is an integral part of the course. Prereq: MATH 644.
MATH 753/853 Intro. to Numerical Methods I--MTR (6-8:00 PM) TBD, Wineberg
Credits: 4.00.
Introduces mathematical algorithms and methods of approximation. Topics include a wide survey of approximation methods. Methods examined include polynomial interpolation, root finding, numerical linear algebra, numerical integration, and the approximation of differential equations. Included in each case is a study of the accuracy and stability of a given technique, as well as its efficiency. Prereq: MATH 426; CS 410.
(Eight-week sessions: June 25 - August 16)
MATH 418.01 Analysis & App'n Functions-- MWR (6-8:00 PM) Kingsbury S320, Figarsky
Credits: 4.00.
Analysis and applications of algebraic and transcendental functions, with special emphasis on exponential, logarithmic, and trigonometric functions. Graphical analysis. Written projects are required on some or all of the following topics: rates of change, optimization, logarithmic or exponential modeling, and trigonometric functions. Intended for students planning to take MATH 425. Prereq: MATH 302 or equivalent. Not offered for credit if credit is received for MATH 424 or MATH 425.