| source Caltech (X) |
level |
department Electrical Engineering (X) |
This course is intended to give the student a basic understanding of the major hardware and software principles involved in the specification and design of embedded systems. Topics include basic digital logic, CPU and embedded system architecture, and embedded systems programming principles (events, user interfaces, and multitasking). The class is intended for students who wish to gain a basic understanding of embedded systems or for those who would like an introduction to the material before taking EE/CS 51/52. Graded pass/fail. Instructor: George.
Score: 9.8801 Details | Listing | Web page
This course provides an introduction to various sensors and actuators. The fundamental principles of the devices will be emphasized, together with their electrical implementation, such as biasing and signal processing circuits. Devices that will be discussed include optical sensors, solar cells, CCDs, CMOS imagers, temperature sensors, magnetic sensors, mechanical sensors, acoustic sensors (microphones), speakers, electrical generators, motors, etc. Instructor: Tai.
Score: 9.8801 Details | Listing | Web page
The principles and design of microprocessor-based computer systems. Lectures cover both hardware and software aspects of microprocessor system design such as interfacing to input and output devices, user interface design, real-time systems, and table-driven software. The homework emphasis is on software development, especially interfacing with hardware, in assembly language. Instructor: George.
Score: 9.8801 Details | Listing | Web page
The student will design, build, and program a specified microprocessor-based system. This structured laboratory is organized to familiarize the student with electronic circuit construction techniques, modern development facilities, and standard design techniques. The lectures cover topics in microprocessor system design such as display technologies, interfacing with analog systems, and programming microprocessors in high-level languages. Instructor: George.
Score: 9.8801 Details | Listing | Web page
A project laboratory to permit the student to select, design, and build a microprocessor-based system. The student is expected to take a project from proposal through design and implementation (possibly including PCB fabrication) to final review and documentation. Instructor: George.
Score: 9.8801 Details | Listing | Web page
A project laboratory to permit the student to design and build a microprocessor-based system of significant complexity. The student must propose, design, implement, and document a project that uses microprocessors and includes a significant hardware and/or software component. The laboratory is for the experienced student who can work independently and who has taken or has had experience equivalent to EE/CS 53. Instructor: George.
Score: 9.8801 Details | Listing | Web page
Individual research project, carried out under the supervision of a member of the electrical engineering or computer science faculty. Project must include significant design effort. Written report required. Open only to senior electrical engineering, computer science, or electrical and computer engineering majors. Not offered on a pass/fail basis. Instructor: Potter.
Score: 9.8801 Details | Listing | Web page
A structured laboratory course that gives the student the opportunity to design and build a sequence of simple analog electronics projects. The goal is to gain familiarity with circuit design and construction, component selection, CAD support, and debugging techniques. Instructor: Megdal.
Score: 9.8801 Details | Listing | Web page
An opportunity to do advanced original projects in analog or digital electronics and electronic circuits. Selection of significant projects, the engineering approach, modern electronic techniques, demonstration and review of a finished product. DSP/microprocessor development support and analog/digital CAD facilities available. Text: literature references. Instructor: Megdal.
Score: 9.8801 Details | Listing | Web page
Special problems relating to electrical engineering will be arranged. For undergraduates; students should consult with their advisers. Graded pass/fail.
Score: 9.8801 Details | Listing | Web page
All candidates for the M.S. degree in electrical engineering are required to attend any graduate seminar in any division each week of each term. Graded pass/fail. Instructor: Hassibi.
Score: 9.8801 Details | Listing | Web page
An introduction to continuous and discrete time signals and systems. Study of the Fourier transform, Fourier series, the Laplace transform, Z-transforms, and the fast Fourier transform as applied in electrical engineering. Various types of systems, with emphasis on linear and time invariant systems. Transfer functions, difference and differential equations, state space representations, system realizations with block diagrams, and analysis of transient and steady state responses. Sampling theorems for analog to digital conversion. Instructor: Vaidyanathan.
Score: 9.8801 Details | Listing | Web page
This class studies the design and implementation of feedback and control circuits. The course begins with an introduction to basic feedback circuits, using both op amps and transistors. These circuits are used to study feedback principles, including circuit topologies, stability, and compensation. Following this, basic control techniques and circuits are studied, including PID (Proportional-Integrated-Derivative) control, digital control, and fuzzy control. There is a significant laboratory component to this course, in which the student will be expected to build, analyze, test, and measure the circuits and systems discussed in the lectures. Instructor: George.
Score: 9.8801 Details | Listing | Web page
Analysis and design of analog circuits at the transistor level. Emphasis on intuitive design methods, quantitative performance measures, and practical circuit limitations. Circuit performance evaluated by hand calculations and computer simulations. Recommended for seniors and graduate students. First term deals with continuous time and amplitude signals; physics of bipolar and MOS transistors, low-frequency behavior of single-stage and multistage amplifiers, current sources, active loads, differential amplifiers, operational amplifiers, and supply and temperature independent biasing.
Score: 9.8801 Details | Listing | Web page
For course description, see Applied and Computational Mathematics.
Score: 9.8801 Details | Listing | Web page
For course description, see Physics.
Score: 9.8801 Details | Listing | Web page
Advanced digital design as it applies to the design of systems using PLDS and ASICs (in particular, gate arrays and standard cells). The course covers both design and implementation details of various systems and logic device technologies. The emphasis is on the practical aspects of ASIC design, such as timing, testing, and fault grading. Topics include synchronous design, state machine design, ALU and CPU design, application-specific parallel computer design, design for testability, PALs, FPGAs, VHDL, standard cells, timing analysis, fault vectors, and fault grading. Students are expected to design and implement both systems discussed in the class as well as self-proposed systems using a variety of technologies and tools. Instructor: George. Given in alternate years; not offered 2008–09.
Score: 9.8801 Details | Listing | Web page
Introduction to selected topics in mixed-signal circuits and systems in highly scaled CMOS technologies. Design challenges and limitations in current and future technologies will be discussed through topics such as clocking (PLLs and DLLs), clock distribution networks, sampling circuits, high-speed transceivers, timing recovery techniques, equalization, monitor circuits, power delivery, and converters (A/D and D/A). A design project is an integral part of the course. Instructor: Emami.
Score: 9.8801 Details | Listing | Web page
Shannon’s mathematical theory of communication, 1948–present. Entropy, relative entropy, and mutual information for discrete and continuous random variables. Shannon’s source and channel coding theorems. Mathematical models for information sources and communication channels, including memoryless, first- order Markov, ergodic, and Gaussian. Calculation of capacity-cost and rate-distortion functions. Kolmogorov complexity and universal source codes. Side information in source coding and communications. Network information theory, including multiuser data compression, multiple access channels, broadcast channels, and multiterminal networks. Discussion of philosophical and practical implications of the theory. This course, when combined with EE 112, EE/Ma 127 ab, EE 161, and/or EE 167 should prepare the student for research in information theory, coding theory, wireless communications, and/or data compression. Instructors: Effros, staff.
Score: 9.8801 Details | Listing | Web page
This course, which is a sequel to EE/Ma 126 a, but which may be taken independently, will develop from first principles the theory and practical implementation of the most important techniques for combatting errors in digital transmission or storage systems. Topics include algebraic block codes, e.g., Hamming, Golay, Fire, BCH, Reed-Solomon (including a self-contained introduction to the theory of finite fields); convolutional codes; and concatenated coding systems. Emphasis will be placed on the associated encoding and decoding algorithms, and students will be asked to demonstrate their understanding of these algorithms with software projects. In the third term, the modern theory of “turbo” and related codes (e.g., regular and irregular LDPC codes), with suboptimal iterative decoding based on belief propagation, will be presented. Not offered 2008–09.
Score: 9.8801 Details | Listing | Web page
Multirate signal processing topics include decimation, interpolation, filter banks, polyphase filtering, advanced filtering structures, nonuniform sampling, data compression, and wavelets; and statistical signal processing topics include linear prediction, antenna array processing, radar signal processing, and optimal transceivers for digital communication systems. Instructor: Vaidyanathan. Not offered 2008–09.
Score: 9.8801 Details | Listing | Web page
For course description, see Computer Science.
Score: 9.8801 Details | Listing | Web page
For course description, see Applied Physics.
Score: 9.8801 Details | Listing | Web page
This course focuses on optical wave propagation and related applications. Topics to be covered include Huygens’ principle, Fourier optics, Gaussian waves, imaging, gratings, spectroscopy, interferometry, Fabry-Perot cavities, coherence, holography, femtosecond optics, dispersion, Kramers-Kronig relation, Mie scattering theory, photonic band gaps, and near-field imaging. Instructor: Crosignani.
Score: 9.8801 Details | Listing | Web page
For course description, see Computer Science.
Score: 9.8801 Details | Listing | Web page