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Probability theory: population, sample spaces and events, counting, axioms of probability, conditional probability, Bayes' Theorem, discrete distributions, continuous distributions, joint distributions, expectation and decision making, random processes. Statistical inference: sampling distributions, point estimation, confidence interval, hypothesis testing, chi-square goodness-of-fit test. Introduction to regression analysis: linear regression. (Not for students who have taken ESTR2002 or ESTR2005 or ENGG2430.)
Complex analysis: analytic functions and Cauchy Riemann; complex integration, Cauchy principal value; elementary complex valued functions: exponential functions, Euler’s formula, trigonometric and hyperbolic functions, logarithm and general powers; power series, Taylor series and convergence tests. ODE: classification of differential equations; 1st order ordinary differential equations; 2nd order ordinary differential equations. Partial differential equations. (Not for students who have taken ENGG2460 or ESTR2000 or ESTR2010.)
Review of linear system theory and probability. Overview of communication systems. Amplitude modulation and angle modulation. Sampling and quantization. Pulse modulation and transmission. Digital modulation and detection. Modulators and demodulators. Effect of noise in communication. Introduction to information theory and error control coding. Case studies of communication systems.(Not for students who have taken ESTR2300.)
Subcategories
Faculty Package Article Count: 2
Foundation Science Courses Article Count: 7
Foundation Mathematics Courses Article Count: 3
Major Required Courses Article Count: 10
Major Elective Courses Article Count: 53
