- Busca fuera de los perfiles de usuario.
Aquí introduce solo palabras clave que no sean asignaturas.
p. ej. "paciente" o "preparación de exámenes", etc.
Además, también se busca en los textos de los perfiles de usuario. Pero no en las asignaturas.
CLASES PARTICULARES Game,Engine
También se buscan los siguientes términos: Game Engine
CLASES PARTICULARES ENGLISH All levels - Including adult teaching and training.
-Bridge TEFL Diploma (Teaching English as a Foreign Language)Endorsements: Young learners and Business English. + years experience in the field of education.
-Qualified and experienced psychometrist.
-Author of Life Orientation textbooks (Grade 4-12) Spot On Heinemann Publishers
During my 24 years of teaching, I have grown both as a person and as an educator. My passion in life is to not just engage myself with the teaching of subject matter, but also work with the many facets of the human being I am teaching.
I am a firm believer in a holistic approach to education. A good teacher, in my opinion, never forgets what it is like to be a learner – vulnerable, anxious and dependant.
A teacher affects eternity; he can never tell, where his influence stops.
In closing I would like to echo the words of the great Nelson Mandela: “Education is the great Engine of personal development. It is through education that the daughter of a peasant can become a doctor, that the son of a mineworker can become the head of the mine and that the child of farm workers can become the president of a country”
CLASES PARTICULARES Accounting, Mathematics O - Level
Post Graduation in Accounting & Finance
CLASES PARTICULARES Webdesign, style sheet, SEO, Drupal, con... Basic / Professional
CLASES PARTICULARES Inglese, Cinese, English, Chinese Diploma
CLASES PARTICULARES swimming, rowing, kayking, canoeing, bas... Inter-university,national-game
CLASES PARTICULARES Piano, Music Tuition All levels
She uses a combination of piano teaching methods, which are customized for age, level of student, student\'s goals and interests in music. All ages and levels are welcome!
She can teach piano in all styles- classical, contemporary, popular, jazz, blues and latin. For classical teaching, She gives intensive and fun music program that integrates study of piano techniques which involve hands, fingers, elbows, forearms, arm, shoulder and body weigh use in correct way.
Music theory, aural and sight reading are included based on the need of students. She is available for accompaniment and teaching for competition, AMEB, ABRSM and other music exams preparation in all grades.
For people who are interested in doing contemporary and jazz music, lessons involve learning chords and improvisation.
BENEFITS OF LEARNING
Susan’s students can participate in mid year and end of the year concerts which designed for students to practise confidence and have fun performing for friends, and family.
Students can get other fun activities such as Game music and learn on the best quality musical instrument.
Adults can enjoy music by playing their song choices.
Piano lessons consist of 30 min, 45 min and 60 min duration depend on levels and preference. 1 day per week.
Her teaching studio is currently in Hoppers Crossing.
It is open to anyone who shows interest in learning music to contact Susan and arrange a free consultation for the lesson.
Please feel free to contact Susan for more information.
CLASES PARTICULARES physics, chemistry, maths, mechanics BEGINNER,ADVANCE,COLLEGE
A-LEVEL
QUALITY IS ALL I ENSURE FIRST THAN TIME. I BELIEVE THAT I HAVE THE ABILITY TO MAKE A STUDENT UNDERSTAND ACCORDING TO THEIR LEVEL. I ALWAYS TRY MY BEST TO MAKE A STUDENT FEEL THAT STUDYING IS NOT A BOURDON,BUT A PUZZLE Game THAT IS FUN TO SOLVE.
CLASES PARTICULARES Mathematics Age 3 to Age 17
Bachelor's degree in Mathematics from Mumbai University
CLASES PARTICULARES English Language, English, American Lite... Intermediate to Advanced Business
CLASES PARTICULARES Mathematics, Statistics Undergaduate
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).
CLASES PARTICULARES mechanical engineering, strength of mate... Beginner
CLASES PARTICULARES Physics, Maths, Mechnical Engineering Su... B.Tech
Crea ahora gratis y sin compromiso tu solicitud de búsqueda.
Porque: nos ocupamos y te hacemos propuestas, sin compromiso.
Búsquedas relacionadas
Ahora, regístrate fácil y gratis.
Premio
Nuestra plataforma fue galardonada en el marco del Deutschen Bildungs-Award-2023/2024 por DISQ (Deutsches Institut für Service-Qualität) y NTV en la categoría Escuela & Estudios / Portales de intermediación de clases particulares como ganadora en la categoría Portales de intermediación de clases particulares. La base fue una encuesta representativa de consumidores con 33.242 votos y valoraciones de aproximadamente 415 proveedores educativos. Al año siguiente 2024/25 nuestra plataforma alcanzó nuevamente una posición destacada (Top-7).
CLASES PARTICULARES
¿Buscas tutoría? - Busca fuera de los perfiles de usuario.
Aquí introduce solo palabras clave que no sean asignaturas.
p. ej. "paciente" o "preparación de exámenes", etc.
Además, también se busca en los textos de los perfiles de usuario. Pero no en las asignaturas.






