This course probes fundamental ideas in electrical engineering, seeking to understand how electrical signals convey information, how bits can represent smooth signals like music and how modern communication systems work.Preview Lectures
Elements of signal and system theory
Week 1: Digital and analog information; block diagrams: sources, systems, sinks. Simple signals and systems. Complex numbers.
Analog Signal Processing
Weeks 2-3: Representation of signals by electrical quantities (electric currents and electromagnetic radiation). Elementary circuit theory: resistors and sources, KVL and KCL, power, equivalent circuits. Circuits with memory: impedance, transfer functions, Thévenin and Mayer-Norton equivalent circuits.
Frequency Domain Ideas
Weeks 4-5: Fourier series and Fourier transforms. Signals in time and frequency domains. Encoding information in the frequency domain. Filtering signals. Modeling the speech signal.
Digital Signal Processing
Weeks 6-8: Analog-to-digital (A/D) conversion: Sampling Theorem, amplitude quantization, data rate. Discrete-time signals and systems. Discrete-time Fourier transform, discrete Fourier transform and the fast Fourier transform. Digital implementation of analog filtering.
Weeks 9-10: Fundamentals of communication: channel models, wireline and wireless channels. Analog (AM) communication: modulation and demodulation, noise (signal-to-noise ratio, white noise models), linear filters for noise reduction.
Weeks 11-12: Digital communication: binary signal sets, digital channel models. Entropy and Shannon's Source Coding Theorem: lossless and lossy compression; redundancy. Error-correcting codes: Shannon’s Noisy Channel Coding Theorem, channel capacity, Hamming codes. Comparison of analog and digital communication.
Knowledge of Calculus
The course text is online at http://cnx.org/content/col10040 provides additional exercises and problems. Every lecture contains links to the relevant sections in the text. Be sure to read them!
Yes, if you successfully complete the final.
In addition to the lecture videos, short quizzes will make sure you are on top of the material. Homework is an essential part of the course and will occur roughly once a week.
Yes!! The text, especially written for this course, is available online at Connexions. In addition to supplementing the course, the online book contains interactive exercises to probe your mastery of the course.
Calculus, both differential and integral, is necessary. Previous familiarity with complex numbers is important, but not essential.
This course covers virtually every topic in electrical engineering, but is more than a survey course. Topics are covered at some depth but not completely, preparing students for virtually any succeeding course in electrical engineering.
This course is routinely taken by second-year electrical engineering students at Rice as their first electrical engineering course. Its reputation can be summarized as “the hardest course I have ever taken but I learned a lot.”