ENG BE 570 - Introduction to Computational VisionPrereq

Institution:

Boston University

Subject:

Description:

CAS MA 226 and ENG EK 510, and ENG BE 401 or ENG EC 401 and ENG BE 200 or ENG EK 500 and working knowledge of MATLAB; grad prereq: CAS MA 226 and ENG BE 401 or ENG EK 500. Introductory course in computational visual neuroscience. Provides a survey of general neural network models for vision and the computational vision theories and survey of neuroanatomy, neurophysiology, and psychophysics underlying specific problems in vision. Topics addressed include models of visual motion analysis such as optic flow, boundary extraction, and three-dimensional structure and motion, and models of stereopsis. Briefly addresses learning mechanisms and their relationship to brain plasticity. A term project is required for graduate credit. 4 cr. TOP OF PAGE ENG EC 311 Introduction to Logic DesignCoreq: ENG EK 307. Introduction to hardware building blocks used in digital computers. Boolean algebra, combinatorial and sequential circuits: analysis and design. Adders, multipliers, decoders, encoders, multiplexors. Programmable logic devices: read-only memory, programmable arrays. Counters and registers. Includes lab. 4 cr.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.bu.edu

Phone Number:

(617) 353-2000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.