Curriculum Designation: Required for electrical engineering and computer engineering majors.
Course (Catalog) Description: Use of probability and statistical concepts in electrical engineering applications. Elementary probability - sets, sample spaces, axioms, joint and conditional probability. Random variables - distribution and density functions. Operations in random variables - expectation, moments, transformation of random variables. Multiple random variables. Introduction to random processes. Elements of statistics: parameter estimation and hypothesis testing.
Prerequisites: MAP 3306 or MAS 3105, and EEL 3112
- Apply elementary set theory and counting techniques to solve basic combinatorial problems.
- Solve problems involving basic and conditional probability.
- Apply common probability models to solve engineering problems.
- Calculate the moments and central moments of a random variable.
- Analyze functions of random variable.
- Analyze multiple random variables.
- Perform linear regression analysis on a set of data.
- Apply probability theory to estimation theory and engineering decisions.
- Analyze elements of random processes.
- Elementary probability - sets, sample spaces, axioms, joint and conditional probability, Bayes' Theorem
- Random variables - concepts, distribution and density functions
- Operations on random variables - expectation, moments, transformation of random variables
- Multiple random variables
- Estimation theory
- Engineering decisions
- Introduction to random processes
Class Schedule: Three 50 minute or two 75 minute lectures per week (3 credit hours).
Contribution to Professional Component: Math 30% / Engineering 70%: 3 credit hours
Science/Design (%): 70% / 30%
Relationship to ABET Student Outcomes: L and M
Prepared by: Bruce A. Harvey
Revised: September 23, 2016