15385 COMPUTER VISION

An introduction to the science and engineering of computer visions, i.e. the analysis of the patterns in visual images with the view to understanding the objects and processes in the world that generate them. Major topics include feature extraction, image representation, edge detection, grouping, discrimination, inference of depth and shape, learning, classification, recognition, tracking and active vision. The emphasis is on the learning of fundamental mathematical concepts and techniques, and applying them to solve real vision problems. The discussion will be guided by comparison with human and animal vision, from psychological and biological perspectives. Students will learn to think mathematically, and develop skills in translating ideas and mathematical thoughts into Matlab programs to solve real problems. Prerequisites: 15113 and (18202 or 21241).

18396 SIGNALS AND SYSTEMS

This course is a breadth course that also is a prerequisite for most courses in communications, signal processing and control systems. The objective of this course is to provide students with an integrated understanding of the relationships between mathematical tools and properties of real signals and systems. This is accomplished by motivating lectures and recitation problems using demonstrations and laboratory assignments which cover such topics as radio transmission and reception, audio synthesizers, CDs, image processing, and prosthetic devices. In the course of the semester, students are introduced to industry-standard computing and simulation tools that will be used in subsequent courses. Continuous and discrete-time signals and systems are treated in a unified manner through the concept of sampling. The course covers the basic concepts and tools needed to perform time and transform domain analyses of signals and linear time-invariant systems, including: unit impulse response and convolution; Fourier transforms and filtering; Laplace transforms, feedback and stability; and a brief introduction to z-transforms in the context of digital filtering. Prerequisites: 18202 and 18220.

18545 ADVANCED DIGITAL DESIGN PROJECT

This is a term-project course oriented towards the development of skills to design large digital systems at a professional level. Proficiency gained in other software and hardware design courses will be utilized in the design and development of a System-on-a-Chip (SoC) prototype. Project development will utilize a mix of system architecture design, custom hardware design and software programming skills. The project will result in a prototype which will be built in a lab setting. Prototype development will include some wirewrap and also the use of some state-of-the-art design tools. Industry standard practices of design reviews, final project presentations, and weekly reports will be followed. The design process will be studied. Through the project, class discussions, and interactions with classmates the course will allow you to enhance your effectiveness in future projects in industry or academia. 2 hours lecture, 24 hour access lab. Prerequisites: 18349 or 18447 or any two of (15213, 18322, 18347, 18360).

70643 PUBLISHING ON THE WORLD WIDE WEB

In just over a decade, the World Wide Web has become an essential venue for businesses. This course examines a variety of topics related to web publishing including: the design and usability of web sites, the appropriate use of file formats, business practices across the web, the integration of other media, the increased use of mobile devices, strategies for search engines, and others. Classroom instruction is supported by laboratory exercises where students make and publish functional and effective web pages.