ELEC 241: Fundamentals of Electrical Engineering I
Course Overview
- Class meets MWF at 11AM in
Duncan Hall 1064.
- Laboratories will be held
Thursday afternoons from 2:30-5:30PM and Friday afternoons from 2-5 PM,
all in Abercrombie A141.
- Concept review session Mondays,
7-9 PM, Duncan Hall 1064.
- Instructor Office Hours: Thursdays 1-4 PM, Abercrombie A221.
The course’s objectives are to provide, through homework and tutorials,
the technical foundations for succeeding courses
in electrical engineering and, through the laboratory, the practical foundations.
Prerequisites:
Math 101, 102.
Course Outline
Elements of signal and system theory
- Digital and analog information
- Block diagrams: sources, systems, sinks
Signal and system analysis
- Analog
- Signal theory: time-domain concepts of amplitude, delay, superposition
- Representation of signals by electronic quantities (electric, optical)
- Elementary circuit theory
- Circuit laws; series and parallel configurations
- Power dissipation
- Equivalent circuits
- Impedance
- Basic analog circuit building block: the op-amp
- Frequency Domain
- Fourier series; signal decomposition; notion of bandwidth
- Sampling theorem
- Digital
- A/D conversion; amplitude quantization; data rate
- Discrete-time signals and systems
Information Transmission
- Analog (AM) communication
- Modulation and demodulation
- Noise (SNR, WGN)
- Linear filters for noise reduction
- Digital communication
- Entropy and Shannon's Coding Theorem
- Lossless and lossy compression; redundancy
- Channel coding; error correcting codes; transmission rate
- Capacity; Shannon's Noisy Channel Coding Theorem
Fundamentals of Communication System Design
Course Objectives
- Mathematically describe and manipulate complex exponential signals and
linear, time-invariant systems that operate on them;
- Apply Kirchhoff’s
Laws, equivalent circuit models, and transfer functions to analyze
voltage and current relationships in passive circuits;
- Apply formal
node analysis to analyze the operation of basic op-amp circuits;
- Use
Fourier series representation of periodic signals to perform frequency
domain analysis of linear time-invariant systems;
- Apply properties
of the Fourier transform to describe and analyze the operation of
Amplitude Modulation (AM) for communicating information;
- Specify how
to encode and recover a bandlimited signal with a digital sequence
using the sampling theorem and amplitude quantization;
- Analyze the
behavior of digital systems on discrete-time signals using the Discrete-Time
Fourier Transform (DTFT);
- Calculate the complexity of implementing
discrete-time filtering using the Fast Fourier Transform; describe
and analyze discrete-time filtering of analog signals;
- Describe the
operation of baseband and modulated communication systems, and analyze
the signal-to-noise ratio of AM systems;
- Explain the use of binary
phase-shift keying (BPSK) for communicating digital information with
analog signals, and performance of BPSK in the presence of noise;
- Construct
simple source compression codes and error-correcting codes, and explain
their application in digital communication of information;
- Use Shannon’s
Source Coding and Channel Capacity Theorems to compare the tradeoffs
between using digital and analog methods for communicating information.
This is the first course in a two course sequence, the
second being ELEC
242.
Required Texts
Johnson and Wise, ELEC 241, Connexions
course pak
Wise and Johnson, ELEC 241 Laboratory Manual
A lab notebook will be required for each lab group.
08/19/2013