**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.

*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*

- 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.

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.

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08/19/2013
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