CECS Courses

 

Lower Division

 

Upper Division

 

Engineering (ENGR)

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).
Course Outline
Course Coordinator: Dr. Thinh Nguyen

Class Schedules

View the course offerings:

Computer Engineering &Computer Science (CECS)

Engineering (ENGR)

 


Official Program Information

 

*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.