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遠隔授業、オンライン家庭教師、eラーニング、Zoom、Skype、Webカメラ等
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個別指導 Game,Engine
12 件の結果: Game,Engine 個別指導
以下の用語でも検索されます: Game Engine
個別指導 Accounting, Mathematics O - Level
科目:
Accounting, Mathematics
資格:
Graduation in Mathematics
Post Graduation in Accounting & Finance
Post Graduation in Accounting & Finance
レベル:
O - Level
個別指導 Webdesign, style sheet, SEO, Drupal, con... Basic / Professional
科目:
Webdesign, style sheet, SEO, Drupal, content management system
資格:
Master in search Engine optimisation & Digital marketing, Diploma in website design
レベル:
Basic / Professional
個別指導 Inglese, Cinese, English, Chinese Diploma
科目:
Inglese, Cinese, English, Chinese
資格:
Diploma in Economia, Adesso studio "Design" a Milano
レベル:
Diploma
詳細:
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)
個別指導 swimming, rowing, kayking, canoeing, bas... Inter-university,national-game
科目:
swimming, rowing, kayking, canoeing, basketball, cricket
資格:
BA(Bachelor of arts),PG diploma in sports coaching,MA*(master of arts)
レベル:
Inter-university,national-game
個別指導 Piano, Music Tuition All levels
科目:
Piano, Music Tuition
資格:
Bachelor of Music in Piano Performance, AMEB AmusA Practical Examination
レベル:
All levels
詳細:
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.
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.
個別指導 ENGLISH All levels - Including adult teaching and training.
科目:
ENGLISH
資格:
-2 Degrees: BA(Ed), BEd(Psig) Honours
-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
-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
レベル:
All levels - Including adult teaching and training.
詳細:
I believe that everyone is of value and has a purpose in life. I have come to believe that my value lies in my ability to teach and assist others in a supportive capacity. I am often reminded of the importance of what Einstein once said: “Try not to be a person of success, but rather a person of value”
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”
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”
成功した紹介数:
1
個別指導 physics, chemistry, maths, mechanics BEGINNER,ADVANCE,COLLEGE
科目:
physics, chemistry, maths, mechanics
資格:
O-LEVEL
A-LEVEL
A-LEVEL
レベル:
BEGINNER,ADVANCE,COLLEGE
詳細:
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.
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.
個別指導 Mathematics Age 3 to Age 17
科目:
Mathematics
資格:
Master's degree in Mathematics from Mumbai University
Bachelor's degree in Mathematics from Mumbai University
Bachelor's degree in Mathematics from Mumbai University
レベル:
Age 3 to Age 17
詳細:
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.
個別指導 English Language, English, American Lite... Intermediate to Advanced Business
科目:
English Language, English, American Literature
資格:
BA English Lit. TEFL certified, owner of small business in USA
レベル:
Intermediate to Advanced Business
詳細:
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.
個別指導 Mathematics, Statistics Undergaduate
科目:
Mathematics, Statistics
資格:
B.E. in Information Technology,Postgraduate Diploma in SCIENCE (Statistics) Honours Equivalent (expected–July 2010),Master of Statistical Science (expected –July 2011) +
レベル:
Undergaduate
詳細:
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).
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).
個別指導 mechanical engineering, strength of mate... Beginner
科目:
mechanical engineering, strength of material, thermodynamics, heat transfer, i.c engine, theory of machines, material sciense
資格:
M.Tech in mechancial enginnering fro VJTI Mumbai
レベル:
Beginner
詳細:
i like to teach
個別指導 Physics, Maths, Mechnical Engineering Su... B.Tech
科目:
Physics, Maths, Mechnical Engineering Subjects, Fluid Mechnics, SOM, DOM, KOM, IC Engine
資格:
B.Tech, MBA
レベル:
B.Tech
詳細:
Full concepteual Clearnce of Engineering Subjects
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2001年からの個別指導!
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