Michael K.


Michael K.

Tutor

Loveland, CO 80538

Will travel 30 miles

$55 per hour.

4.95 170 ratings

PhD professional for Math, Physics, and Computer Tutoring

I have tutored in mathematics and physics during my graduate years while earning my PhD in experimental particle physics. I have a passion for mathematics and physics and love continuing to learn myself. I find it rewarding to see others learn in these areas as well. I have a large base of subjects for which I am qualified to assist in. My motto as a tutor is "to be able to put myself out of business". My style is to empower the student to become self-sufficient and confident in their ow... [more]


Algebra 1

I have studied more than 15 years of mathematics from algebra to partial differential equations as part of my Ph.D in experimental particle physics. Algebra is an important beginning foundation for learning mathematics.


Algebra 2

Algebra 2 is a continuing part of learning mathematics and its uses in today's world.


Calculus

Calculus is a staple of knowledge to understand how many principles and idea work in mathematics. With my background in experimental particle physics (I have a Ph.D), I have used calculus throughout my education college career and beyond. Calculus is understanding of how mathematics works.


Chemistry


Microsoft Excel


General Computer


Geometry


Microsoft Word


Physics

I have a Ph.D. in experimental particle physics. Part of the reason I chose this field is the continually learning to keep on top of the various discoveries and enhancements to the world of science.


Microsoft PowerPoint


Prealgebra


Precalculus

Precalculus is the vital stepping stone toward beginning of understanding the work around us via trigonometry, geometry, and algebra. I have tutored high school students whilst a graduate student in preparation for calculus at college. I have many years of formal training (I have a PhD in experimental particle physics) and the years of experience as a teacher.


Trigonometry

I have a PhD in experimental particle physics and even with a thorough understanding of many of the ideas surrounding and backing Quantum Mechanics, I still find trigonometry and its uses are important traits. Learning about how trigonometry pervades into other areas of mathematics as well as how to use trigonometry to solve problems is essential. It is not just about how to compute, but to understand how these computations come into play in other areas.


Astronomy

Looking up at the sky (at night) gives us a rare opportunity to see and understand the world beyond on normal experience. Astronomy gives us some of the basic tools to learn about our world and our universe (from the viewing of comets, asteroids, and moons) to understanding why stars die and what can happen during a stars death-throws. Armed with fundamental skills and knowledge, we sit upon the shoulders of our ancestors (visualizing start constellations) and analyzing the wonderful and exotic place we call our universe.


Statistics

I am fluent in various levels of Mathematics (I have a Ph.D. in experimental particle physics). Statistics is a knowledge base used quite often in this scientific field.


Java

As someone who works with Cloud Software, Java has become the mainstay application development language for internet communication. With it's capability of strongly typed compilation, independence in OS, and Object-Oriented Programming (OOP) paradigm, it is the primary language for students to learn. I have developed in Fortran 77, C/C++, and Java for many years and continue to do so part of my job responsibilities and hobbies.


HTML


SAT Math


Finance


Physical Science


Geology


Microbiology


Probability


ACT Math

I am fluent in various levels of Mathematics (I have a Ph.D. in experimental particle physics).


ACT Science


Elementary Math

In order to feel comfortable with math, elementary skills must be mastered before moving onwards and upwards. A firm grasp of the basics -- addition, subtraction, multiplication, division, fractions -- are essential. Accordingly, interpretation and comprehension of word problems is a vital component of decoding a problem statement into a solvable equation. These and other basic skills form the core to all future mathematical endeavours.


Elementary Science


Differential Equations

Differential equations (both ordinary and partial) are a foundation for learning methods used to solve ODEs (for example Bernoulli and Euler style solution methods). Learning how to apply methods to apply to rate reperesentation of physical systems is part of learning how to deal with differential equations. Wronskian, Lyapunov style, predator-prey relationships, Euler 1st and 2nd equations, homogeneous and heterogeneous style, transformation -- Like Laplace, and Fourier) are some of the ways to assist in understanding how to solve these problems.


C++

In my current job, C++ and its interaction with other languages via APIs (Tcl, Perl, MATLAB, etc.) is an essential skill. Using the STL as building blocks to producing complex software is one of the many skills, but also understanding how to use the language (public versus private variable/functions), multiple inheritance, factory or decorator patterns, and a variety of other techniques help to produce software which is agile, extensible, and maintainable for current and future applications.


Computer Programming

Having a PhD in experimental particle physics, my thesis revolved around programming (Fortran/C/C++) to do data-mining and analysis. Furthermore, as part of my tenure in the work force, I have had the opportunity to work on target tracking for the government (using complicated tracking algorithms coded into software) and currently work on Digital Signal Processing (DSP) for a semiconductor manufacturer writing IDE software for many major technology companies.


Computer Science

Having a PhD in experimental particle physics, my thesis revolved around programming (Fortran/C/C++) to do data-mining and analysis. Part of this responsibility was in algorithms used to accomplish different tasks and to discern which algorithms work best for specific tasks. Analysis of complexity and usefulness in algorithmic development was essential (big-Oh notation and error analysis).


DOS

DOS is the basic operation system for Windows. Comfortability with batch processing, understanding how to use command-line executables, and even navigating the GUI frontend (explorer) continue to be important skills. Althought DOS does not change very much from version to version, the ability to command the language (and its intricacies) to produce expected results in batch scripting is important to automate clerical tasks and remove error-prone steps in processing.


Fortran

Having a PhD in experimental particle physics, my thesis revolved around programming much of my analysis code in Fortran to interface with software already developed and proven in this language (Fortran-77). Even with the limited capabilities of F77 versus C++ at the time, did not stop me from developing simulation code and utilizing additional f77 libraries to complete my degree and analyze my collected data.


Linear Algebra

As part of my educational degree for a PhD in physics, linear algebra is an essential component of quantum mechanics and forms the foundations for understanding how particle physics works. From the Schoedinger equation to the Standard Model, linear algebra forms the basis for formulating the mathematics for which to understand the physics. Examples would be Wronskian determination of linear independence to S-Matrix formulation of entrance and exit channels for particle interactions per Feynman diagrams to understand how nature works.


Linux

I write test harness software to facilitate job distribution and management of tasks under the Linux/Unix environment as well as coordination with a Windows (Cygwin) environment. I also use LSF (Load Sharing Facility) to handle job scheduling and do so under a Linux/Unix environment. Management of mounting of disk, accounts passwords,and other compiler specific needs are part of my daily routine.


MATLAB

As part of my previous job algorithm design for target tracking was done with MATLAB using Kalman filtering techniques (and other newer algorithm designs). In my current job, MATLAB is an essential component of our IDE software for which Simulink and many DSP toolboxes provided by MATLAB are used to enable developers to design complicated designs and test. I have also written a toolbox for unit testing within the MATLAB environment which I have submitted as open source to the programming community.


Microsoft Windows

I have worked in various jobs after college using MS Windows as well as in software connecting MS Windows into the linux world (cygwin). MS Windows has been a staple of all the major corporations I have worked with over the years and fluency in using MS Windows for DOS Batch programming and provided software (Visual C++ for example) is an important component to providing developed software.


Perl

I write test harness software and frequently use a myriad of Perl to accomplish parsing/logging and regular expression matching to do data-mining.


UNIX

I write test harness software to facilitate job distribution and management of tasks under the Linux/Unix environment as well as coordination with a Windows (Cygwin) environment. I also use LSF (Load Sharing Facility) to handle job scheduling and do so under a Linux/Unix environment. Management of mounting of disk, accounts passwords,and other compiler specific needs are part of my daily routine.


Python

I write test harness software and frequently use a myriad of Python to accomplish parsing/logging and regular expression matching to do data-mining of big data sets. In addition, python's moduler design allow me write customized routines to be stored and saved for later use in other complex systems. The capability of coding with prepackaged, freely available modules, gives me the basis to interact with remote machines, pickling of data for transfer to remote systems, and an object oriented approach to scripting. The natural use of objects cleanly allow for better development and API design and encapsulation. Language encoding (sytle, etc.) is intuitive and straightforward giving clarity to developed code.