Program type:

Certificate
Format:

On Campus
Est. time to complete:

2-3 semesters
Credit Hours:

12
Enhance Your Degree: Master Modern Communication Systems
Explore the full spectrum of modern connectivity, from computer networks and wireless architectures to digital signal processing and advanced video communications. This certificate delivers the core technical depth needed to design, analyze, and innovate across today’s interconnected systems.

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Why Earn a Certificate in Communications Systems?

Modern global connectivity demands engineers who can design, optimize, and innovate across every layer of network architecture. This certificate equips you with deep expertise in wireless and mobile networks, digital communication systems, and modern signal processing theory. You will master cutting-edge video coding, motion estimation, and channel coding to build high-performance systems and lead next-generation telecommunications initiatives.

Communication Systems Certificate Courses You Could Take

Modern Communication System Design Project
Students are required to design electronic communication systems with electronic devices such as MOS transistors, capacitors and resistors. Topics include LC circuits and oscillators, AM modulation, SSB communications and FM modulation.
Digital Communications
Introduces the basics for the analysis and design of digital communication systems. Topics include channel modeling, signal analysis, digital modulation schemes, optimum receivers for additive white Gaussian noise channels, and selected topics in advanced digital communications.
Digital Signal Processing
Digital Signal Processing (DSP) continues to evolve and play a central role in modern electronics and electromechanics systems. Many systems today, such as HDTV, mp3 players, Internet audio and video, Voice over IP, digital communications, vehicular controls, machine intelligence, etc., use powerful DSP concepts as their foundations. DSP is a logical extension of Signals and Systems in which a comprehensive view of discrete-time systems is taken. The course content succinctly stated is an introduction to modern digital signal processing theory and techniques. This includes discrete time signals and systems, sampling theorem, Z-transform, frequency analysis of signals and systems, discrete Fourier transform, fast Fourier transform algorithms, digital filter design, and other topics (e.g. multi-rate signal processing, wavelets, linear prediction).
Computer Networks
History and overview of computer networks, protocols and network layers, application layer, socket programming, transport layer protocols and TCP, network layer protocols and IP, network routing, data link and physical layers, introduction to network security.

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