Stephen

Microsoft Project

Microsoft Project ... I have used MSP for many professional projects over the years including factory relocations, new product introductions and capital improvement projects. I find it best used by starting out with the team to define the work elements gaining agreement on timing amount of work required. Project is very handy for keeping track of issues and communicating both to the next level of management and to the team members. It can be as simple or as complicated as desired. The Gantt and Pert chart options are nice too giving easy ways to determine critical paths for different options.

electrical engineering

GMAT

ASVAB

differential equations

GRE

statistics

I studied Statistics both in College and as a part of Industry training to implement statistical methods of quality control and assessment. I have a TI-84 calculator and can help students use that device to make lists, draw graphs, calculate probabilities, develop regressions, use normal curve, calculate Z-Scores and Histograms.

Microsoft PowerPoint

prealgebra

precalculus

trigonometry

chemistry

This is a brief outline of the subjects that are encountered with Introduction to Chemistry. There are more but this should provide an idea of the type of help that can be provided. Atomic number = Number of Protons Mass number = Number of Protons + Neutrons Atomic weight = grams per mole Isotope = element w/neutrons different from average Avagadro’s number = number of finite pieces / mole Avagadro’s number = 6.02x1023 Atomic mass = weight in atomic mass units 1 proton = 1.0073 amu 1 neutron = 1.0082 amu Molecular weight = sum of amu in a molecule Formula weight = sum of grams / mole Empirical formula = ratio of atoms in molecule Molecular formule = Precise number of atoms in molecule Balancing Chemical Equations Finding chemical formulas Stoichiometry Gas Laws

geometry

general computer

Microsoft Excel

Microsoft Word

physics

algebra 1

algebra 2

calculus

linear algebra

I studied and later used Linear Algebra as an Electrical Engineer developing numerical techniques to optimize circuit designs for cost and performance. These techniques often utilize matrix algebra to develop the mathematical links between the task and the computer model. I learned the matrix algebra in college as part of Circuit analysis, Structural analysis and in Mathematics. Numerical techniques of optimization often involve a "Simplex" technique that will identify the "direction" a variable should change in order to maximize or minimize the objective variable. Few techniques are universally applicable so other non-linear techniques have been developed which can find local optimums in the midst of a complex N-dimensional space. Given the complexity, the computer is a "must use" tool for these methods and several software packages are available, even Excel has a "Solver" that can accomplish some of these tasks.