Computer Engineering & Computer Science (CECS)
550./650. Pattern Recognition Using Artificial Intelligence (3)
- Prerequisite: CECS 451 or consent of instructor. (Master’s students register in CECS 550; Ph.D. students register in CECS 650.)
- General concepts of pattern recognition and trainable classifiers, decision theory, supervised learning, non-parametric techniques, rule-based systems and neural networks. Additional projects required for Ph.D. students.
- (Lecture-problems 2 hours, laboratory 3 hours.) Not open for credit to students with credit in CECS 750. Letter grade only (A-F).
View the course offerings:
Computer Engineering &Computer Science (CECS)
Additional Official Program Information
- Links to CSULB catalog and schedule of classes
*Note: although every effort is made to keep this Web site
up to date, you should also consult the printed catalog for official
information and program requirements, which may vary depending on the
year you enter(ed) the program.
CECS Upper Division Courses 300 - 424
CECS Upper Division Courses 428 - 497