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Communications & Signal Processing
Required and Recommended Courses
Electrical Engineering

Most Important Required Courses

ENEE 241: Numerical techniques

ENEE 322: Signal and System Theory

ENEE 324: Engineering Probability

ENEE Elective Courses

ENEE 408G: Multimedia Signal Processing Design

ENEE 420: Communication Systems

ENEE 425: Digital Signal Processing

ENEE 426: Communication Networks

ENEE 428: Communications Design Lab

ENEE 434: Introduction to Neural Networks

ENEE 435: Introduction to Electrical Processes, Structures and Computing Models of the Brain

Non-EE technical electives

AMSC/CMSC466: Introduction to Numerical Analysis

CMSC 417: Computer Networks

CMSC 426: Image Processing

MATH401: Applications of Linear Analysis

MATH452:Introduction to Dynamics and Chaos

MATH/CMSC456:Introductions to Cryptology

MATH461: Linear Algebra for Scientists and Engineers

MATH463: Complex Variables

MATH464: Transform Methods

STAT 405: Stochastic Models for Queues and Networks

STAT 411: Introduction to Stochastic Processes

STAT 440: Sampling Theory

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University of Maryland A. James Clark School of Engineering Department of Electrical and Computer Engineering