個別指導 Game,Analytics

Hi, ich bin Niko und ich habe Mathematik und Economics an der Uni Heidelberg studiert und mache zurzeit einen Master in Data Analytics. Vor einigen Jahren habe ich Spass an der Lehre von Schülern und Studenten (vor allem in Mathematik, Statistik und Datenanalyse) für mich entdeckt und unterrichte seitdem fleissig. Ich habe schon Crashkurse für das Matheabi in Deutschland und Vorlesungen an der Uni gegeben, Vorlesungen tutoriert und auch schon viel private Nachhilfe in mathematischen Fächern gegeben. Zudem durfte ich im Zuge einer Freiwilligenarbeit, Mathematik an einer Schule in Nepal unterrichtet. All diese Erfahrungen haben mich bis jetzt nur weiter motiviert. Deswegen freue ich mich umso mehr drauf auch dir bald helfen zu können ,)

I beleive in the solid basis for a student to progress in any field. That why I emphasise the sharp concepts of Mathematic and Financial & Cost Accounting , which is a Game too.

The subjects I taught in the the way of Game only so that pupils may learn the concepts without any fatigue.

Sono di Singapore, Inglese è la mia prima lingua e Cinese é la mia linguamadre. Mi piace i bambini e ho una systema gioca efficiente per insegnarli. (I am from Singapore and my first language is English and mother tongue is chinese. I love children and i am very patient with them. I also have an effective Game system)

I want to pursue a career in SPORTS and seek a challenging position in a dynamic organization which can give me an opportunity to serve,because I know how to tackle every thing and I hope that I will do this.

Susan is an experienced and high qualified piano and singing teacher. Qualification: Bachelor of Music Degree in Piano Performance and AmusA Practical Examination Certification.

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.

I am fine with teaching any of the above technologies and with additional technologies if require. I teach in English and currently learning
German A1 level.


I hope to hear from you soon.

I HAVE ALREADY BEEN A HOUSE TUTOR AND HAVE BEEN A TUTOR IN A COACHING CENTER.
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.

I am good tutor to teach mathematics especially who find mathematics a headache it's more of a Game than a subject iam good at making trivial formulas easy to understand using practcal examples instead of just mugging them up.

I am patient and punctual. Etiquette is a high priority, I don't waste time with overcoming informality. I have very specific goals to achieve with the lesson plan, which I will go over in a preliminary non-paid session. At the end of each week I deliver a progress statement to keep track of improvement. Most activities are Game based reading and listening exercises, though I can tailor writing as the main focus; from basic formal and functional structure to paragraph, essay, and informal/business papers.

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).