Login
|
Register
|
Favorites (0)
Home
Search
Search
Search for Transfer Profiles
Search for Course Equivalencies
Search for Exam Equivalencies
Search for Transfer Articulation Agreements
Search for Programs
Search for Courses
Current
Search for Colleges
Search for Open Education Resources
PA Bureau of CTE SOAR Programs
Current
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
CENG 5334: Fault Tolerant Computing
3.00 Credits
University of Houston-Clear Lake
Prerequisite: Background in probability, computer hardware and computer software. Lectures and research projects involving: design techniques for fault tolerant computers; fault modes; failure mechanisms; failure, fault and error relationship, architectural and software options for fault tolerance, modeling and evaluation technique.
Share
CENG 5334 - Fault Tolerant Computing
Favorite
CENG 5335: Digital Systems Testing
3.00 Credits
University of Houston-Clear Lake
Prerequisite: CENG 4534 or equivalent. Digital system fault modeling and diagnosis; test synthesis, design for test, functional testing, built-in self test; discussions of real world practical applications, cost effective techniques and industry standards.
Share
CENG 5335 - Digital Systems Testing
Favorite
CENG 5337: Low Power System Design
3.00 Credits
University of Houston-Clear Lake
Prerequisite: CENG 3531 or equivalent. Design of low power digital circuits, processors and systems; analysis of real world low power RISC processors; discussion of next generation power management and energy generation techniques.
Share
CENG 5337 - Low Power System Design
Favorite
CENG 5431: Digital Signal Processing
3.00 Credits
University of Houston-Clear Lake
Prerequisite: CENG 5131 or equivalent. Sampling, Fourier analysis, FFT's and digital filtering. Laboratory instruction.
Share
CENG 5431 - Digital Signal Processing
Favorite
CENG 5432: Digital Control Systems
3.00 Credits
University of Houston-Clear Lake
Prerequisite: CENG 5131 or equivalent. Analysis and synthesis of digital control systems and a comparison of continuous and discrete control systems. Laboratory instruction.
Share
CENG 5432 - Digital Control Systems
Favorite
CENG 5433: Prin Of Digital Commun Systems
3.00 Credits
University of Houston-Clear Lake
Prerequisites: Linear systems theory and calculus based on probability. Analysis and synthesis of digital communications systems.
Share
CENG 5433 - Prin Of Digital Commun Systems
Favorite
CENG 5434: Microcomputer Systems Design
3.00 Credits
University of Houston-Clear Lake
Prerequisites: Computer architecture and assembly language. Software design and use of 32-bit microcomputers and microcontrollers as used in modern computer systems and products. Laboratory instruction.
Share
CENG 5434 - Microcomputer Systems Design
Favorite
CENG 5531: Machine Learning and Applications
3.00 Credits
University of Houston-Clear Lake
Prerequisite: Math 3334. Fundamentals of machine learning and pattern recognition. Topics include neural networks, Bayseian inference and non parametric techniques.
Share
CENG 5531 - Machine Learning and Applications
Favorite
CENG 5534: Advanced Digital System Design
3.00 Credits
University of Houston-Clear Lake
Prerequisite: CENG 4534 or equivalent. Behavioral abd structural design methods and examples using hardware description languages, including contraol, arithmetic, bus systems, memory
Share
CENG 5534 - Advanced Digital System Design
Favorite
CENG 5634: Artificial Neural Networks
3.00 Credits
University of Houston-Clear Lake
Prerequisites: Senior or graduate standing of computing, math, business or other majors. Knowledge of computer algorithms, programming and a basic understanding of calculus, linear algebra, probability and statistic theory. A course covering artificial neural network (ANN) models and computation. ANNs provide an alternative solution for problems that either have no existing algorithms or are too complex. The emphasis is on the rationale, theory, modeling, analysis, methodology, evaluation and representative applications of ANN. The computational capabilities and limitations of several popular ANN models are analyzed.
Share
CENG 5634 - Artificial Neural Networks
Favorite
First
Previous
111
112
113
114
115
Next
Last
Results Per Page:
10
20
30
40
50
Search Again
To find college, community college and university courses by keyword, enter some or all of the following, then select the Search button.
College:
(Type the name of a College, University, Exam, or Corporation)
Course Subject:
(For example: Accounting, Psychology)
Course Prefix and Number:
(For example: ACCT 101, where Course Prefix is ACCT, and Course Number is 101)
Course Title:
(For example: Introduction To Accounting)
Course Description:
(For example: Sine waves, Hemingway, or Impressionism)
Distance:
Within
5 miles
10 miles
25 miles
50 miles
100 miles
200 miles
of
Zip Code
Please enter a valid 5 or 9-digit Zip Code.
(For example: Find all institutions within 5 miles of the selected Zip Code)
State/Region:
Alabama
Alaska
American Samoa
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Federated States of Micronesia
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Marshall Islands
Maryland
Massachusetts
Michigan
Minnesota
Minor Outlying Islands
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Northern Mariana Islands
Ohio
Oklahoma
Oregon
Palau
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virgin Islands
Virginia
Washington
West Virginia
Wisconsin
Wyoming
American Samoa
Guam
Northern Marianas Islands
Puerto Rico
Virgin Islands
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.