(3 units). Probabilistic models, conditional probability and Bayes' rule; vectors of random variables, distributions and density functions, expectations and characteristic functions. Independence, Laws of Large Numbers, Central-Limit Theorem. Random process concepts. Random signal analysis concepts. Applications drawn from power systems, analog and digital circuits, communication systems and manufacturing. Course Component: Lecture, Tutorial Prerequisite: ELG 3125. The courses ELG 3126, MAT 2377 cannot be combined for units.
(3 units). Probabilistic models, conditional probability and Bayes' rule; vectors of random variables, distributions and density functions, expectations and characteristic functions. Independence, Laws of Large Numbers, Central-Limit Theorem. Random process concepts. Random signal analysis concepts. Applications drawn from power systems, analog and digital circuits, communication systems and manufacturing. Course Component: Lecture, Tutorial Prerequisite: ELG 3125. The courses ELG 3126, MAT 2377 cannot be combined for units.
