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.
Computer Science 171: Introduction to Artificial Intelligence
4.00 Credits
University of California-Irvine
Different means of representing knowledge and uses of representations in heuristic problem solving. Representations considered include predicate logic, semantic nets, procedural representations, natural language grammars, and search trees. Prerequisites: ICS 23; Mathematics 2A-B and Statistics 67/Mathematics 67. Formerly ICS 171.
Share
Computer Science 171 - Introduction to Artificial Intelligence
Favorite
Computer Science 172: Programming Techniques in Artificial Intelligence
4.00 Credits
University of California-Irvine
The study of methods for implementing artificial intelligence programs in high-level languages. Exercises on implementation of data structures for representing rules, frames, grammars, networks, and algorithms for search, inference, language processing, and learning. Prerequisite: CS 171. Formerly ICS 172.
Share
Computer Science 172 - Programming Techniques in Artificial Intelligence
Favorite
Computer Science 173: Neural Networks
4.00 Credits
University of California-Irvine
An introduction to the rapidly growing field of neural networks, i.e., algorithms derived from brain circuitry. Models covered include the Hopfield model, delta rule, perceptrons, backpropagation, competitive learning. Mathematical analysis, applications, and biological bases of neural network algorithms. Prerequisites: ICS 52 with a grade of C or better; Mathematics 2A-B and Statistics 67/Mathematics 67; Mathematics 6G or 3A. Formerly ICS 173.
Share
Computer Science 173 - Neural Networks
Favorite
Computer Science 174: Bioinformatics
4.00 Credits
University of California-Irvine
Introduces fundamental problems in biology that lend themselves to computational approaches. The lectures present the necessary biological background to understand the importance of the problem and the data available for algorithmic analysis. Prerequisites: ICS 21/CSE21, ICS 22/CSE22, and ICS 23/CSE23; CS 171 with a grade of C or better. Formerly ICS 174.
Share
Computer Science 174 - Bioinformatics
Favorite
Computer Science 175: Project in Artificial Intelligence
4.00 Credits
University of California-Irvine
Construction of a working artificial intelligence system. Evaluation of capabilities of the system including impact of knowledge representation. Prerequisite: CS 171. Formerly ICS 175A.
Share
Computer Science 175 - Project in Artificial Intelligence
Favorite
Computer Science 176: Introduction to Expert Systems
4.00 Credits
University of California-Irvine
Introduction to the methodology of design and implementation of expert systems. Laboratory work uses expert system shells to construct knowledge-based systems. Emphasis on techniques for representing and organizing domain and control knowledge as opposed to the theory and implementation of inference engines. Prerequisite: CS 171. Formerly ICS 175B.
Share
Computer Science 176 - Introduction to Expert Systems
Favorite
Computer Science 177: Applications of Probability in Computer Science
4.00 Credits
University of California-Irvine
Application of probability to real-world problems in computer science. Typical topics include analysis of algorithms and graphs, probabilistic language models, network traffic modeling, data compression, and reliability modeling. Prerequisites: Mathematics 2A-B and Statistics 67/Mathematics 67; ICS 6D/Mathematics 6D; ICS 6B/Mathematics 6B; and either Mathematics 6G or 3A. Formerly ICS 178.
Share
Computer Science 177 - Applications of Probability in Computer Science
Favorite
Computer Science 178: Machine Learning and Data Mining
4.00 Credits
University of California-Irvine
Introduction to principles of machine learning and data mining applied to real-world datasets. Typical applications include spam filtering, object recognition, and credit scoring. Prerequisites: ICS 6D/Mathematics 6D, ICS 6B/Mathematics 6B, Mathematics 6G or 3A, Mathematics 2A-B, and Statistics 67/Mathematics 67.
Share
Computer Science 178 - Machine Learning and Data Mining
Favorite
Computer Science 190: Special Topics in Information and Computer Science
4.00 Credits
University of California-Irvine
May be repeated for credit if title or topic varies. Prerequisites vary. Formerly ICS 180.
Share
Computer Science 190 - Special Topics in Information and Computer Science
Favorite
Computer Science 196: Tutoring in ICS
3.00 Credits
University of California-Irvine
Offers opportunities to tutor both on an individual, as needed basis and as part of regularly scheduled courses. Specific tutoring assignments depend on the courses with which the student is working, as determined by the instructor in charge. In most cases includes time in individual tutoring and a term paper or project. May be taken for credit for a total of eight units. Pass/Not Pass only. Formerly ICS 196.
Share
Computer Science 196 - Tutoring in ICS
Favorite
First
Previous
61
62
63
64
65
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.