I am a very patient and smart tutor, and I am willing to help my student in any ways...

Professeur de mathématiques donne cours de maths à domicile, de la 6ème à bac +2, toute filière.

15 ans d’expérience dans l’enseignement et le soutien individuel.

Bilan d’évaluation, remise à niveau, soutien hebdomadaire, aide au devoir, stage de vacances, préparation aux concours et examens.

Méthode de travail adaptée à chaque élève.

J’habite Aix en Provence et me déplace sans limite de distance (éventuellement sous Conditions)

Tarif horaire : à partir de 20 €. Dégressif si cours à plusieurs élèves. Possibilité de paiement par chèque emploi service.

N’hésitez pas à me contacter pour plus de renseignement.

Vous avez du mal avec l'anglais? Vous n'en avez jamais fait? Ou bien avez-vous déjà un certain niveau que vous souhaitez améliorer par le biais de conversations et de cours adaptés à votre niveau et apprendre à aimer cette langue?
Les cours que je dispense se présentent essentiellement comme suit :
1/ Mise en situations concrètes
- conversations
- petits jeux diversrn- écoute de musiquern2/ Partie théorique :
- grammaire et conjugaison
- phrasal verbs utilesrn- idioms, colocations et autres expressions utilesrnAu bout de quelques séances de cours, votre anglais parlé deviendra bien plus fluide! Et une meilleure connaissance de la grammaire viendra renforcer vos compétences et votre confiance en vous

Très bons taux de réussite!
Pour ceux qui n'ont jamais fait d'anglais, je m'adapte aussi à votre niveau en reprenant tout depuis le début. Je travaille à votre rythme et vous proposerai un plan spécifique afin de vous faire progresser le plus vite possible

Mon service comprend : la leçon personnalisée, le matériel (photocopies, livres, accessoires,. ), le suivi spécifique et le déplacement à domicile (sous certaines Conditions!).

I'm a chemist, having had 9 experience as a Tutor, very familiar with a student. I'm able working in any Conditions. I teach 3 subject, chemist, math, and physic, but most welcome if i teach math for elementary school.




for your kind attention, and looking forward to hearing good news from you.




Krisnomo Wisnu Trihatman
Kebon Nanas Selatan III / 52
Rt : 02 / 05 Jatinegara
Jakarta Timur, Jakarta

Phone : 021 T
Mobile : *

My tutor experience:
Sep 04/ Mar 05 – TUTORSHIP - PROFESSIONAL POST GRADUATE APPRENTICESHIP – Company: Institute for the Public Administration Managers Training – Under the council of Ministers Presidentship ( w it)
&#; A)Analysis and Report about Teachers’ teaching style
&#; B)Analysis and Report about Manager/learners group dynamics
&#; C)Analysis and Report about Teacher/Learners interaction
&#; D)Final Report about the course assessment made by Learners and Teachers &#; Problem solving assistance to Teachers and Learners
&#; Management of administrative documents related the training course
&#; Management of the training setting
&#; Contacting Teachers by phone, mail, fax, e-mail to prepare lecture notes on CDs and paper
&#; Studying bibliographical material about Training and Tutorship
Final Project work: Creating and using a specific board to report in a unique form the information of activities A) B) C) D)

My Trainer experience:
Oct 05/Dec 05 – TRAINER – Company: MST – Management and Territory Development Soc.Coop. A.r.l. – Rome/Italy ( w it)
Planning and teaching the module (55 hours) called “Business Organization” as part of the professional training course for graduates about “Tourism Marketing)
Topics developed:
&#; Objectives; Culture, Working cycle, Structure of a Business Organization
&#; Conditions of the Personnel and Organization Welfare
&#; Patterns of Human Resources Management
&#; Power and Leadership in working contexts
&#; What is a Business Plan Course Aspects:
&#; Active teaching Methodology
&#; Educational techniques: Study of working cases, simulation games, workshop, tests, Final exam.
&#; Learners’ assessment form about their course satisfaction and suggestions.
&#; Teaching aids: Power Point slides projection, lectures notes on CDs and paper, whiteboard.

Je suis d\'un tempérament chaleureux, patient et indulgent. Je suis aussi prête a me déplacer chez l\'apprenant sous Conditions

I have the patience, so students can ask any difficult part at any time during the lesson.
I pay attention to the way how student tackle problems and concern on minimizing mistakes from their Exams.
I concern more on doing past papers and practice exams under exam Conditions.
I always use simple examples to explain complex theory.
*For physics , I try to provide practical background using web sites and CDROMs.

J'opte pour les cours individuels après avoir expérimenté les cours en groupes. Il y a plus d'échanges et les élèves progressent mieux. L'apprentissage est plus aisé et agréable dans ces Conditions.

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).