[PORTALNAME]
Toggle menu
Home
Search
Search
Search Transfer Schools
Search for Course Equivalencies
Search for Exam Equivalencies
Search for Transfer Articulation Agreements
Search for Programs
Search for Courses
PA Bureau of CTE SOAR Programs
Transfer Student Center
Transfer Student Center
Adult Learners
Community College Students
High School Students
Traditional University Students
International Students
Military Learners and Veterans
About
About
Institutional information
Transfer FAQ
Register
Login
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
CS 07422: Theory of Computing
3.00 Credits
Rowan University
Prerequisites: CS 04222 and MATH 01131 and CS 07210 This is an advanced course in the theoretical foundations of computer science, building on the introduction provided in the Foundations of Computer Science course. It studies models of computers, such as finite automata and Turing machines, formal languages, and computability, as well as the fundamentals of complexity theory and NP-completeness.
Share
CS 07422 - Theory of Computing
Favorite
CS 07450: Artificial Intelligence
3.00 Credits
Rowan University
Prerequisites: MATH 03160 and CS 04222 and CS 07210 AI studies methods for programming "intelligent" behavior in computers. Students study the data representation methods and algorithms used in AI, and survey research areas such as puzzle solving, game-playing, natural language processing, expert systems, and learning. In addition to readings, discussion, and problem solving in AI, students will be expected to program in one of the languages commonly used in AI, such as LISP or Prolog.
Share
CS 07450 - Artificial Intelligence
Favorite
Show comparable courses
CS 07470: Theory and Applications of Pattern Recognition
3.00 Credits
Rowan University
This class will introduce a broad spectrum of pattern recognition algorithms along with various statistical data analysis and optimization procedures that are commonly used in such algorithms, with particular emphasis to engineering applications. Although mathematically intensive, pattern recognition is nevertheless a very application driven field. This class will therefore cover both theoretical and practical aspects of pattern recognition, Bayes decision theory for optimum classifiers, density estimation techniques, discriminant analysis, basic optimization techniques, introduction to basic neural network structures, unsupervised clustering techniques and more state of the art algorithm independent techniques.
Share
CS 07470 - Theory and Applications of Pattern Recognition
Favorite
CS 99300: Computer Field Experience to 9
3.00 Credits
Rowan University
Students are assigned projects in a professional environment.
Share
CS 99300 - Computer Field Experience to 9
Favorite
ECE 09201: Network I
2.00 Credits
Rowan University
Prerequisites: CS 04103 and MATH 01131 and PHYS 02200 and MATH 01235 Covers basic network principles, network laws and analysis methods, including steady-state and transient responses of passive networks, with independent and dependent sources. Op amps are covered as examples of active electronic networks. Computer-aided analysis and simulation tools are presented as methods to augment network analysis and design.
Share
ECE 09201 - Network I
Favorite
Show comparable courses
ECE 09202: Network II
2.00 Credits
Rowan University
Prerequisites: ECE 09201 Minimum Grade of C Extends network analysis principles including ac sources, transformers, and polyphase networks. The Laplace transform is developed as a method for obtaining the transient and steady-state response of a network. The frequency response of a transfer function is analyzed using Bode plots. The Fourier transform technique is used to determine the response of networks to periodic inputs. Computer-aided analysis and simulation tools are presented as methods to augment network analysis and design.
Share
ECE 09202 - Network II
Favorite
ECE 09241: Digital I
3.00 Credits
Rowan University
Prerequisites: CS 04103 and ECE 09201 Minimum Grade of C The first course in digital systems covering boolean algebra, switching theory, minimization, asynchronous and synchronous network design, hardware design using state equations in a simulation and development environment. The course also treats applications of digital system design.
Share
ECE 09241 - Digital I
Favorite
Show comparable courses
ECE 09242: Digital II: Microprocessors
3.00 Credits
Rowan University
Prerequisites: ECE 09443 Minimum Grade of C The second course in digital systems covering principles of computer systems design including hardware and software. The course also treats applications of computer design.
Share
ECE 09242 - Digital II: Microprocessors
Favorite
ECE 09301: Engineering Electromagnetics I
2.00 Credits
Rowan University
Prerequisites: ECE 09202 Minimum Grade of C and PHYS 02200 and MATH 01236 The first course in engineering electromagnetics covering applications of electrostatics, magnetostatics and quasi-statics in contemporary electrical engineering practice. The course also covers numerical modeling of electromagnetic systems using appropriate software.
Share
ECE 09301 - Engineering Electromagnetics I
Favorite
ECE 09302: Engineering Electromagnetics II
2.00 Credits
Rowan University
Prerequisites: ECE 09202 Minimum Grade of C and MATH 01236 and ECE 09301 Minimum Grade of C The second course in engineering electromagnetics covering applications of electromagnetic wave propagation in contemporary electrical engineering practice. The course also covers numerical modeling of electromagnetic systems using appropriate software.
Share
ECE 09302 - Engineering Electromagnetics II
Favorite
First
Previous
46
47
48
49
50
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