ENEE633

Statistical Pattern Recognition

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Prerequisite: MATH461; or students who have taken courses with comparable content may contact the department; or permission of instructor. Corequisite: ENEE620; or permission of instructor. Credit only granted for: ENEE633 or ENEE739Q. Formerly: ENEE739Q. The goal is to introduce mathematical pattern analysis and recognition. Emphasis is given to parametric and non-parametric statistical pattern recognition methods and clustering with applications to speech, image and video recognition.

Spring 2026

Behtash Babadi

3 reviews
Average rating: 5.00

Spring 2025

Behtash Babadi

3 reviews
Average rating: 5.00

Past Semesters

Behtash Babadi

3 reviews
Average rating: 5.00

Behtash Babadi

3 reviews
Average rating: 5.00

Behtash Babadi

3 reviews
Average rating: 5.00

Ramalingam Chellappa

1 review
Average rating: 5.00

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.38 between 570 students*

ENEE633 Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 14.39%
A: 26.84%
A+: 14.21%
B-: 4.39%
B: 14.91%
B+: 8.95%
C-: 0.18%
C: 1.4%
C+: 0.7%
D: 0.18%
W: 5.09%
other: 8.77%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.