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Massachusetts Institue of Technology (MIT) (EECS)
Massachusetts Institue of Technology (MIT) (Master's)
Harvard Business School (MBA)
I am tutoring a State Street Bank systems analyst in Probability, Statistics and Monte Carlo simulation. As a contractor , I wrote and tested a Python program using SciPy and Chebyschev's inequality to graph the number of fair die rolls needed for the average to converge to roll expectancy within a 99% confidence interval.
I was hired by the the M.I.T Office of Minority Education as a part-time Seminar XL faciliator responsible for making academic presentations to small groups of undergraduate students in the areas of mathematics, physics and digital signal processing.
I received a grade of A in college Linear Algebra and Probability. I have programmed in R. My SAT Math achievement test II score was 800. My Advanced Placement Calculus BC score was 5.
I have 15 years experience programming in C++. I received a nice performance review for my C++ coding skills which I can share with interested students.
I am tutoring a State Street Bank systems analyst in Probability, Statistics and Monte Carlo simulation. As a contractor , I wrote and tested a Python program
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I have 20 years of programming experience in C and C++ combined with software engineering coursework at Harvard Extension School. I am currently tutoring Calculus at M.I.T's Office of Minority Education, Today, we derived Simpson's rule and applied to two integrals by allowing the students to go to the blackboard. I helped Melissa Data develop two U.S patents using spherical trignometry and pthread_cond_wait and pthread_cond_signal with two C++ member variables to simulate Windows 7 WaitForMultipleObject. In addition, I am doing R language development for a leukemia researcher. Today I used Excel to do style analysis on the Dodge and Cox Balanced Fund (DODBX),.
I studied linear algebra and linear systems with Professor Christoph Borgers and Professor Baram Shafai. I have experience tutoring calculus with linear algebra applications to 6 students at M.I.T. Also, I have experience tutoring probability, statistics and Monte Carlo simulation concepts which involve solving linear systems of equations with a State Street Bank financial analyst. Also, I have tutored how to use C and the Code::Blocks cross platform compiler to write scientific C programs. My teaching method is ask students to solve challenging problems on the blackboard or computer compiler and then review their answers together immediately afterwards.
I am writing R scripts for a leukemia researcher at M.I.T. Recently, I wrote a R function to train neural nets. In addition, I wrote a R function and program to calculate the VMA, weighted volume moving average of the SP 500 index which be used to test trading strategies. The tutoring method I prefer the best is laptop debugging and going to the blackboard. A month ago, I installed an open source Code::Blocks C/C++ compiler on a student's laptop running Windows 8.