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• #1 angila csendes tag

  Új Válasz 2010-05-08 12:26:21 #1

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  angila

  csendes tag

  sziasztok!

  kerlek segitsetek!
  en angliaban jarok egyetemre, a szak megnevezese: Software Engineering (BSc kepzes)
  azt tapasztaltam sajnos, hogy azonkivul hogy keves oraszam/ tantargy van (kb. 15 ora hetente, 4 tantargy per felev)
  keves matek van es sztem ami van az se az igazi. tehat arra kernelek titeket, hogy felsorolnam a targyakat leirasukkal, sajna csak angolul tudom
  mert kb felenek nem talaltam a magyar megfelelojet es legyszi mondjatok meg mit gondoltok. Keves, gyenge, felesleges? most fejezem be
  az elso evet es ha nem erdemes nem akarok elpazarolni meg legalabb kettot. tehat ne kimeljetek, nem akarok hazudni magamnak.
  tantargyak:
  math & statistics for computing students :

  Elements of Set Theory. The Concept of a Function. The Elementary Functions (polynomials, log, exp & sin, cosine functions)
  Matrix Algebra. Propositional Logic
  Introduction to Differential Calculus. Introduction to Integration
  Discrete Probability (Rules of probability, Probability trees, Conditional Probability)
  Descriptive Statistics

  mathematics and algorithmics:

  Further Differentiation: Chain, Product and Quotient Rules and Partial Differentiation applied to polynomials and trig functions.
  Probability - Bayes' Theorem. The Normal Distribution.
  Introduction to Predicate Calculus - Quantifiers and basic deduction.
  2 and 3 Dimensional vectors - Arithmetic, magnitude and scalar product.
  Complex Numbers - basic arithmetic in rectangular and polar representations - Argand diagrams.
  Algorithmics: Time and Storage complexity - Big O notation - Complexity classes.
  Algorithm Paradigms: Divide and Conquer, Greedy Algorithms, Dynamic Programming.

  probability and statistics:

  Probability rules and Bayes' Theorem.
  Standard statistical distributions such as Binomial, Poisson, Normal and Exponential.
  Model univariate and bivariate random variables using appropriate probability distributions.
  Estimation and hypothesis testing including goodness of fit.

  mathematics application and software

  Fractal simulations. Queuing simulations. Coding and compression.
  Symbolic and Numerical Differentiation (including its finite differences form for discrete functions).
  Symbolic and Numerical Integration (including its summation form for discrete functions).
  2 and 3 D Geometric Modelling: Conics and Quadrics in Cartesian and Parametric Forms. Line-line intersection, line-plane intersection.
  Differentiation applied to geometry modelling. Splines.

  mathematical modelling

  Modelling methodology and the modelling process.
  Deterministic and stochastic models.
  Simulation modelling.
  Modelling with differential equations.
  Use of a computer algebra package.
  Effect of step length on accuracy in numerical solutions.

  remelem legalabb a naggyat ertitek, kerlek ne kimeljetek
  koszonom a segitseget, ha barmi erdekelne az angol felsooktatassal kapcsolatban irjatok, megprobalok valoszolni
  koszi megegyszer

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