Curriculum

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Descriptions

ELEC_ENG 302: Probabilistic Systems

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Prerequisites

Math 228-2 or equivalent

Description

Introduction to probability theory and its applications. Axioms of probability, distributions, discrete and continuous random variables, conditional and joint distributions, correlation, limit laws, connection to statistics, and applications in engineering systems.

May not receive credit for both 302 and any of the following: IEMS 302; MATH 310-1, 311-1, 314, 385; STAT 320-1, 383.

• ELEC_ENG 302 is a prerequisite for ELEC_ENG 307, 328, 332, 333, and 378 and also ELEC_ENG/COMP_ENG 334. Given the foundational nature of the course, students are highly encouraged to take the course in or before their junior year.

RECOMMENDED TEXTS: Sheldon Ross, A first course in probability, 10th Edition, 2019 

COURSE COORDINATOR: Prof. Dongning Guo (Fall), Prof. Ermin Wei (Spring)

COURSE GOALS: To teach students the basic concepts of probability theory and statistics, random variables, conditional distributions, and correlation as they arise in engineering signal and systems models.

COMPUTER USAGE: Matlab Assignments

LABORATORY PROJECTS: None

COURSE OBJECTIVES: When a student completes this course, s/he should be able to:

• Understand the basic concepts of probability and how they arise in engineering systems.

• Analyze systems involving uncertainties using random variable models.

• Understand the concepts of distributions, correlation, and other averaging properties.

• Design simple reliable engineering systems in the presence of errors and failures.

• Understand the basic elements of statistics and analysis of data.

ABET CONTENT CATEGORY: 100% Mathematics