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Digital Telecommunications Course
Course Description
Introduction to digital telecommunications systems and
applications, including quantization, asynchronous and
synchronous multiplexing, circuit and packet switching,
sychronization and jitter, and current topics.
History
University of Massachusetts Lowell
Spring 1994
Course Outline
Overview of course, overview
of telephone network
Signal processing, sampling,
network signals and services
Quantization, ADPCM, subband
coding, standards
Transmission media and
methods, multiplexing hierarchy
Digital modulation techniques,
analysis of framing algorithms
Multiplexing and jitter,
timing recovery, types of jitter
Midterm exam
Switching networks, switching
hierarchy, network access
Circuit switching systems
Packet switching,
packet-switched signaling system
Traffic analysis, queuing
theory concepts
Network synchronization
Synchronous optical networks,
Sonet, SDH
Final exam
Required text
J. Bellamy, "Digital Telephony," 2nd. edition,
Wiley, 1991.
Digital Signal Processing Course
Course Description
Introduction to digital signal processing theory and practice,
including coverage of discrete-time signals and systems, the
z-transform, the discrete Fourier transform. Digital filters and
terminology, random number generators and signal models, the FFT,
and applications of digital signal processing including
convolution, correlation, power spectral estimation.
History
University of New Hampshire, Nashua, NH
Fall 1993
Course Outline
Overview of course, DSP
methods of detection, estimation, and filtering
Mathematical structure of
discrete-time signals and systems, linear time-invariant
systems, Fourier transform
Sampling process, sampling
theorem, frequency-domain representation of sampling
Z-transform, inverse
z-tranform, z-transform mathematical properties
Linear time-invariant systems,
difference-equation models, all-pole and all-zero system
functions
Midterm exam
System structures, delay block
diagrams, network realizations
Discrete Fourier transform,
DFT properties, periodic and finite-duration sequences
Fast Fourier Transform
implementation af applications
Digital filters
Power spectral estimation
DSP applications and other
topics
Final exam
Required text
A. V. Oppenheim and R. W. Schafer, "Discrete-Time Signal
Processing," Prentice-Hall, 1989.
Fiber Optics in Telecommunications Course
Course Description
Introduction to fiber optic technology for telecommunications
and information transmission. The course covers physical
principles of optics, optical fibers, sources, detectors,
tranmitter and receiver circuits for optical transmission. The
course also includes the anaysfsis of communications systems and
signals, information transmission over fiber optic links, methods
of data modulation, data multiplexing, and high-speed networks
for telecommunications and computer communications.
History
University of Massachusetts Lowell
Spring 1993
Course Outline
Optical fibers, optical
sources and detectors, analysis of communications systems
Principles of optics,
reflection, refraction, total internal reflection, ray and wave
models
Optical fibers, analysis based
on optics theory, step index and graded index, multimode and
single mode fibers
Waveguides and applications,
dielectric waveguides, electromagnetic wave description of
optical fibers
Properties of optical fibers,
attenuation, dispersion
Midterm exam
Semiconductor fundamentals,
optical sources, light emitting diodes, semiconductor lasers
Transmitter circuits, pulse
transmission, line codes
Optical receivers, PIN and
avalanche photodiodes, amplifier circuits, sensitivity, noise
Optical communications
systems, system performance, system budget, system design
examples
High-speed information formats, Sonet, computer
communications
Required text
W. B. Jones, "Intro. to Optical Fiber Communications
Systems"
Quantitative Methods in Management Course
Course Description
Quantitative methods applied to business, management, and
manufacturing problems, including general concepts from systems
analysis, engineering and economics, and using deterministic and
statistical mathematical techniques. Review and extend
probability and statistics, including Bayesian methods of
decision-making under uncertainty. Applications to reliability
and quality control. Linear programming and queuing theory
presented with an emphasis on conceptual understanding, using
problems to explain these methods.
History
Boston University, Tyngsboro, MA
Spring 1993
Course Outline
Probability models,
probability distributions
Applications of probability,
reliability
Intro to systems analysis,
engineering economics
Cost analysis, cost modeling
methods, learning curve
Quality control, acceptance
sampling, process control
Bayesian statistical analysis,
beta distribution
Statistical decision theory,
prior and posterior analysis
Midterm exam
Linear programming,
optimization concepts
Linear programming methods
Queuing theory, average
traffic rates, random events
Traffic analysis, blocking and
delay, Erlang's formulas
Applications of queuing and traffic theory
Required text
Anderson, "Introduction to Operations Management"
Telecommunications Technology Course
Course Description
Telecommunications industry organization, structure, and
history. Network design, customer interfaces, subsciber loop,
switching, signaling, trunking, electrical and optical
transmission. Business and government regulation, planning,
economics, and cost analysis. Basics of electrical engineering
such as voltage, current, resistance, simple electronic circuits,
construction of simple electronic equipment.
History
NYNEX, New England Telephone, Marlboro, MA and Manchester,
NH
1992 - 1993
Course Outline
Global Telecom Industry
Subscriber Loop Plant
Telecom Technology Basics
Central Office and Tandem
Office
Trunking
Public Switched Telecom
Network
Structure of U.S. Telephone
Industry
Planning for Technology
Advanced Services
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