This module will cover the basics of sampling theory and Analog to Digital Converters (ADC).

This module introduces the idea of aliasing and gives examples of it in sampling and reconstruction problems.

A comprehensive introduction to control system synthesis in which the digital computer plays a major role, reinforced with hands-on laboratory experience. Covers elements of real-time computer architecture; input-output interfaces and data converters; analysis and synthesis of sampled-data control systems using classical and modern (state-space) methods; analysis of trade-offs in control algorithms for computation speed and quantization effects. Laboratory projects emphasize practical digital servo interfacing and implementation problems with timing, noise, nonlinear devices.

This module discusses Anti-Aliasing and provides examples of filters that can be used to avoid aliasing.

This module offers an introduction to Bayesian networks by means of a worked example of computing a bayesian network from a joint probability distribution (JPD).

Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. The textbook is also available in printed form from Qoop.com.

Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom textbook collection has been modified by R. Bloom for her classes at De Anza College; the homework content for the custom collection is now contained in a separate homework collection.

This is a custom collection (by R. Bloom) of homework and review problems to accompany Collaborative Statistics textbook custom collection by R. Bloom. Content is derived from Collaborative Statistics written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook by S. Dean and B. Illowsky was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it. This custom version of their collection has been modified by R. Bloom for her classes at De Anza College.

" This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications."

A series of progressive composition projects, culminating in a large final projecting, using various types of music hardware and software. Instruction in recording, editing, synthesis, sampling, digital sound processing, sequencing, and interactive systems. Close listening to computer and electronic music from various genres including Varese, Cage, Schaeffer, Xenakis, Lansky, Stockhausen, Tcherepnin, Barlow, Gunter, and Eno. Subject focuses on using the computer as a means of musical creativity and intuition.

This module will take the ideas of sampling CT signals further by examining how such operations can be performed in the frequency domain and by using a computer.

The module provides an introduction to the concepts of digital imaging processing through basic equations and examples.

Introduction to econometric models and techniques, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. Includes problem sets. May not count toward HASS requirement. This course covers the statistical tools needed to understand empirical economic research and to plan and execute independent research projects. Topics include statistical inference, regression, generalized least squares, instrumental variables, simultaneous equations models, and the evaluation of government policies and programs.

This module focus on examining reconstruction relations.

The simplest operator used to map an HDR image to an LDR image. For example, the simplest method for how to map a 32-bit range down to an 8-bit range is a basic quantizer.

This course looks at the history of avant-garde and electronic music from the early twentieth century to the present. The class is organized as a theory and production seminar for which students may either produce audio/multimedia projects or a research paper. It engages music scholarship, cultural criticism, studio production, and multi-media development, such as recent software, sound design for film and games, and sound installation. Sound as a media tool for communication and sound as a form of artistic expression are subjects under discussion. The artists' work reviewed in the course includes selections from audio innovators such as the Italian Futurists, Edgard Varèse, John Cage, King Tubby, Brian Eno, Steve Reich, Afrika Bambaataa, Kraftwerk, Merzbow, Aphex Twin, Rza, Björk, and others.

Illustration of the sampling theorem.

Income differences can be measured narrowly or broadly. A narrow definition might include only work for which pay is received, what economists call earnings, which can range from an hour to a year to a lifetime. A less narrow definition of income could add to earnings "unearned" income, which includes sources such as transfer payments, interest and dividends, or capital gains.

This course gives the student a broad introduction to basics in signal processing and information theory.