I am a very dynamic tutor-can vary my tutoring approach depending on the style of the learner.

I teach my students going their home and with EXTRA care in a very friendly atmosphere. Students really have fun while studying with me. I have taught 5 students in the past two years and also my little sister who reads in class 3 in Green Herald School and Masha\' Allah they all came up with good grades! Just contact me, and Insha\' Allah I won\'t disappoint you. :)

I am very patient and reliable and to learn german will be fun and gaining knowledge at the same time.I have the ability and the experience to interface very well with many different people no matter what age and culture.

I am a 27-yr-old female piano teacher giving giving piano lessons for the past 9 years from beginners to diploma state. Extremely patient with kids, and comfortable with adults. I have also given chinese tutoring to secondary students when i was in singapore.

I have been teaching for last two years that included students from Green herald and st. joseph .try to give my best effort,and that's all for me here.

Ich heiße A., bin 32 Jahre alt und habe meinen Master BWL an der Universität Augsburg abgeschlossen. Während meines Studiums habe ich als wissenschaftliche Hilfskraft Übungen in den Fächern Mathe 1, Mathe 2 und Operations Research gehalten. Gelegentlich habe ich auch Vertretungen für Veranstaltungen wie Logistics Management oder Decision Optimization übernommen. Seit dieser Zeit gebe ich regelmäßig Nachhilfe, da mir die Lehre immer viel Spaß gemacht hat. Ich konnte einige Erfahrung sammeln und habe mit der Zeit herausgefunden, an welchen Hürden das Verständnis oft hakt.
Ich denke, dass die Arbeit "vor Ort" immer nochmal mehr bringt, wenn man sich gegenüber sitzt. Wenn es zeitlich/räumlich schwierig ist, kann ich aber auch Online-Nachhilfe problemlos anbieten. Am Surface kann ich per Hand mitschreiben und eine Bildschirmübertragung einstellen – das hilft oft fürs Verständnis.
Wenn ihr Hilfe in mathematischen Fächern oder anderen Grundlagenfächern des BWL-Studiums benötigt, kontaktiert mich gerne!

We are experienced in JIS, BIS, BINUS, GLOBAL JAYA, SPH, IPEKA, NJIS, ACS, National High, SIS, AIS, GMIS, HIGHSCOPE, STB, KIS, MENTARI, MADANIA, BTB, BBS, Green RIVER, CLIFFORD, SHORTLINE, EDMONDS

We will give u the best.

Relevant Units covered in Undergraduate Studies.• Applied Mathematics-1( Complex Variables, Vector Algebra, Calculus Taylors theorem, expansion of functions
in power series, partial derivatives of first and higher orders, total differentiation concept of commutative partial derivatives, Eulers theorems of homogeneous functions, deduction from Euler’s theorems ,errors, approximations, maxima and minima functions of two variables.)
• Applied Mathematics-2( Exact differential Equations, Linear equations & reducible to linear (Bernoulli equations), Linear Diff. Eqn. of nth order with constant coefficients, complimentary function & particular integral when the function of the
integral on the R.H.S. are exponential, Sin(ax + b), Cos(ax + b).Cauchys Linear equation( Homogenous eqn.). The Legendre Linear equation, Variation of parameters & method of undetermined coefficients. Elementary application of above diff. Eqn. in solving engineering problems from Electrical Engg., Chemical Engg., Mechanical Engg., and Civil Engg. Integral Calculus: Rectification of plane curves, Double and Triple integrals, Their geometrical interpretation & evaluation. Evaluation of double integrals by change of order and change to polar. Application of double and triple integrals to areas, volumes & mass. Beta & Gamma Functions.)

• Applied Mathematics 3(Fourier Series and Integrals: Orthogonal and orthonormal functions, expression of a function in a series of orthogonal functions,s ine and cosine functions and their orthogonality properties. Fourier series, Drichlet conditions, periodic functions, even and odd functions, half range sine and cosine series, Parseval's relation. Complex form of Fourier series, introduction to Fourier integral, relation with Laplace transform. Laplace Transforms: Function of bounded variable ( statement only ), Laplace transforms of 1, at, exp( at ), sin( at ), cos( at ),sinh(at), cosh(at), erf(t), shifting properties, expressions with proofs for L { t f(t) }, L { f(t)/t }, Laplace of an integral and derivative)

• Applied Mathematics 4(Complex Variables: Regions and paths in the Z plane. Path/Line integral of a function. Inequality conditions for a path integral to be independent of the path joining two points. Contour Integral, Cauchy's theorem for analytical functions with continuous derivatives. Matrices: Brief revision of vectors over real field, inner product, normal, linear independence, orthogonality. Characteristic values and vectors, and their properties for Hermitian and real Symmetric matrices. Vector Calculus: Scalar and Vector point functions, directional derivative, level surfaces, gradient, surface and volume integrals, definition of curl, divergence. Use of operator. Conservative, irrotational, solenoidal fields. Green's theorem for plane regions and properties of line integral in a plane.)

• Applied Mathematics 5(Probability and topics in Statistics: Statistical experiments with random outcomes, Sample space, probability defined on the basis of sample space and on the basis of events and their combinations. Theorem on probabilities, conditional probability. Bayes theorem. Random variable, probability distribution for discrete and continuous random variables. Density function and distribution functions. Expected values, variance , moments, moment generating functions, Bernoulli's trials, Binomial , Poisson, normal distributions for detailed study with proof, Other common distributions, T , F, Beta, Gamma, X with indication of the applications, Central limit theorem, Bivariate probability and frequency distributions, Correlations, regression, lines of regression. Introduction to random samples, use of random numbers, stochastic processes, Time series , queuing theory. Optimization Techniques- Problem formulation, Simplex Method, Revised Simplex Method, Duality & Sensitivity. Unconstrained optimization of several variables• Numerical methods for unconstrained optimisation : Random search & Univariate method, Fletcher Reverse method, Newtons method.)
• Discrete Mathematics ( Logic : Propositions and logical operations, Truth tables, Equivalence and implication, Laws of logic, Mathematical induction and quantifiers. Set theory : Method of proof for set, Venn diagram, set membership tables, definitions, Laws of set theory, Partition of sets. Permutations, combinations and discrete probability. Introduction to permutations and combinations, Generation of permutation and combination, Discrete probability, Conditional probability. Relations and diagraphs., Paths and the relations and diagraphs, Properties of relations, Equivalence relations, Computer representation of relations and diagraphs, Manipulation of relations, Transitive closure, Warshall’s algorithm.Function and pigeon hole principle Definition, Types of functions: injective, surjective, bijective, Composition, identity and inverse, Pigeon hole principle.Graphs , Posets, Hasse Diagram, Lattices, Finite Boolean Algebra, Groups & their Applications Introduction to Rings & Fields.)

Units covered in Postgraduate Studies.
• Advance Financial Mathematics (Access Grid Room -University of Wollongong): Brownian motion, Black-Scholes equation for pricing Digital options and Power options, Reflection principle and barrier options, Pricing options using Monte Carlo Simulations, Monte Carlo estimation methods for hedge ratio, Finite-difference methods for Vanilla options and Asian Options, C++ Programming.
• Financial Econometrics 2 (Monash University):Modeling asset return volatility, volatility modeling for measuring risk and pricing derivatives, continuous time stochastic Processes for pricing financial Derivatives, High Frequency data Analysis, Generalized Method of Moments in Financial Models.
• COMPUTATION IN Stochastics (Monash University): Stochastic differential equations, Taylor expansion of stochastic differential equations, Evaluation of option values. European option. American option, Optimization methods using C++.
• STOCHASTIC CALCULUS AND MATHEMATICAL FINANCE (Dr. Fima Klebaner- Monash University): Ito integrals and Ito’s formula. Stochastic Differential Equations and Diffusions, Calculation of expectations and PDE’s, Feynman-Kac formula. Martingales and Semi martingales. Change of Probability Measure and Girsanov Theorem. Fundamental Theorems of Asset Pricing. Change of Numeraire. Application to options.
• Stochastic Processes II - Random Walks & Markov Chains (Monash University): Simple Random Walks Discrete-time martingales. Markov chains, both continuous and discrete time.
• Applied Statistics: Sample Survey, Clustering, Classification, Principal Component Analysis and Time Series Analysis. (79/100).
• Game Theory and Applications (RMIT University): Strategic Form of Games, Incomplete Information, Cooperative Games.
• Nonparametric Curve Estimation (AMSI - Dr. Aurore Delaigle-University of Melbourne): Kernal Density Estimation, kernel Regression, Spline Regression, Wavelet Analysis and Bootstrapping.
• Financial Time Series (Access Grid Room- University of South Australia): Spectral decomposition, Box-Jenkins models, Forecasting techniques, Smoothing of time series, GARCH and other volatility models, Stochastic Differential Equations.
• Statistical Inference: Statistical Inference at the level of Lee Bain and Max Engelhardt (2000).

I am teaching Maths, Physics and Chemistry, coaching professionaly since 1984, sometimes tutored computers and informatics also. Most of my students and their parents were happy with the improvement they got. You can choose any topic of school / competition you like. Students for C T SE, ICSE, IIT-JEE, AIEEE, SAT, ACT, AIIMS PMT, GMAT, CAT, NTSE (for scholarships) can ask for help. I assure my students that they will become more skilled and more confident in just a few hours of honest study. As a proof of my assurance, I offer the following. If I can not teach you or your friend, nicely in any one topic you choose, in Mathematics or Sciences, of school, boards or competitions like IIT, SAT, PMT, GMAT, M T A / CAT / or MCa, T CA Computer science you wish, I will not ask for any fees. Instead I can give a small cash gift to a charity. The student / his parent and I can agree previously on the terms of my donation before I start teaching your friend Math.
Some topics in Physics Chemistry and Computers / Informatics Visual T asic, C++, data structures etc. are also possible. Please note that I prefer to teach online through internet messenger or by phone or near my home near Green Park . If your friend gives anything of his wish, ok, if they do not give me any fees still it is ok.

The offer is open to actual students for the examinations they applied for and I am confident that you will be happy with the tutoring. You are therefore offered a free trial topic without any obligation to continue. When your friend benefits from my teaching, he may like to study further with me on payment. T ut if he does not want to study or I do not want to tutor, I shall not teach him further. You can come to my place to study.

You can also study at your own home for your free lesson using a PC with IM or email. You may download a free service like Messenger ( x ) or ask and learn on phone. Some students learnt by just talking to me on phone * (Delhi). Their friends and parents did not believe at first, that the boys could learn so quickly and so conveniently.

I am giving tuitions in Math since 1984, in Physics, Chemistry and Computer Sc. occasionally, and most of my students got a lot better improvements with me, compared to their earlier tutors. They said that the topics earlier difficult or impossible became ordinary. For example students needed six months of studies with ordinary tutors to learn basics of Mathematics for GMAT. With me, most students learnt in just one month and strengthened their basic foundations. Even weak and nervous persons started understanding and answering tough questions on their own before 30 days were over. In fact my past students got such encouraging results that I can offer 100% money back guarantee in many cases. I guarantee that my students will get better improvement than most of their friends studying with other teachers, for reputed competitions like IIT-JEE, CAT, SAT or GMAT. If they get even one rank less than promised, you can take back all the money you paid to me.
If you can tell other people about this fact, I shall be grateful to you.

Many students are happy to know that the Indian government gives scholarships every month from school till PhD if the students qualify NTSE. Students can prepare for NTSE with me or elsewhere. Total money given to each successful student is around Rupees Forty thousand.

If you know any one who is sad or has lost hope of doing well in Mathematics or Physics or Chemistry, please tell them at earliest of my offer. Some parents were surprised by the quickness their children rose in rank in their respective schools.

• 2007- : ERASMUS Student at the University of Liverpool Core subjects: Supply chain operations management, Quality management, Optimisation, Statistics

• 2005-2007: Initial Formation, Engineering school Ecole des Mines Nantes (44, France)
Core subjects: Mathematic, Automatic, English, Initiation to Logistics, Strategic Management

• 2004-2005: First year of the preparation to a competitive exam to join a higher education school in
Engineering, Camille Jullian Bordeaux (33, France)