Communications engineering classes are typically offered for those seeking a graduate certificate in this field. The majority of participants in such programs are already trained and employed in the fields of voice, data, or visual communications.
Coursework aims to prepare communications engineers to design, maintain, and operate communications systems. An extensive background in calculus, differential equations, and linear algebra is required for some courses, and familiarity with current communication technologies is a must.
Some of the common topics explored in classes are taken from the following:
- Transmission noise
- Fourier transform
- VoIP systems
- Sampling theorems
- Probability theory
- RFID systems
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List of Courses
Theory of Communications Engineering Course
This lecture-based required class is typically the first one students enroll in as part of a communications engineering program. Students examine analog and digital communications, primarily through video, voice and data transmission models. Students also learn about modulation and noise, especially the effect of noise on the transmission of communication signals. This course also covers the establishment of system benchmarks, the methods for measuring them and the best practices for communications system design.
Stochastic Processes Course
This mandatory communications engineering course on stochastic processes is usually a theory-centered, lecture-style class. The syllabus directs the identification, measurement and analysis of random processes and probability theory in the context of communications systems. The scope of the course includes communication system design and operation. Coursework is heavy on calculus, differential equations and linear algebra and is intended for students who have already completed extensive coursework in these fields and basic communications engineering classes.
Analyzing Communications Signals and Systems Course
Students in this course learn to analyze communication signals along with communications systems. Students look at applicable variables in the transmission of communications signals and their influence on system performance. Coursework includes an introduction to sampling theorems, discrete and continuous Fourier series, Fourier transform and Laplace transform. This course is taken midway through the program and is required in most communications engineering programs.
Communications Systems Course
This course on communications systems delves into system-specific architectures. Participants may study radio-frequency identification (RFID), cellular, fiber optic and voice over Internet protocol (VoIP) communications systems. They learn the advantages and disadvantages of individual communications systems, system characteristics and requirements, elements of system build-out, and measurement and analysis of system performance.