ECSE 305. Probability and Random Signals 1.
Credits: 3
Offered by: Electrical & Computer Engr (Faculty of Engineering)
This course is not offered this catalogue year.
Description
The basic probability model, the heuristics of model-building and the additivity of probability; classical models; conditional probability and Bayes rule; random variables and vectors, distribution and density functions, expectation; statistical independence, laws of large numbers, central limit theorem; introduction to random processes and random signal analysis.
- (3-2-4)
- Prerequisite: ECSE 303 or ECSE 306.
- Tutorials assigned by instructor.