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CSE 802 (Course) - Grade Details
(with breakdown by semester)
Course Title: Pattern Recognition and Analysis
Course Description: Introduction to salient topics in statistical pattern recognition. These include concepts in Bayesian decision theory, parametric and non-parametric density estimation schemes, linear discriminant functions, perceptrons and unsupervised clustering. The project component of this course will test the student's ability to design and evaluate classifiers on datasets.
CSE 802 - All Semesters
Average Grade - 3.756
Median Grade - 4.0
Latest grades from Spring 2024
CSE 802 - Overview
| Semester | Grade Info | Number of Students | |
|---|---|---|---|
| Spring 2012 | Average Grade - 3.326 Median Grade - 3.5 |
23 | |
| Spring 2013 | Average Grade - 3.411 Median Grade - 3.5 |
28 | |
| Spring 2014 | Average Grade - 3.809 Median Grade - 4.0 |
34 | |
| Spring 2015 | Average Grade - 3.905 Median Grade - 4.0 |
37 | |
| Spring 2016 | Average Grade - 3.833 Median Grade - 4.0 |
30 | |
| Spring 2017 | Average Grade - 3.583 Median Grade - 3.5 |
24 | |
| Spring 2018 | Average Grade - 3.781 Median Grade - 4.0 |
33 | |
| Spring 2019 | Average Grade - 3.774 Median Grade - 4.0 |
43 | |
| Spring 2020 | Average Grade - 3.871 Median Grade - 4.0 |
33 | |
| Spring 2021 | Average Grade - 3.943 Median Grade - 4.0 |
38 | |
| Spring 2023 | Non-numeric grade system used. Grade Count: 29 |
29 | |
| Spring 2024 | Average Grade - 3.804 Median Grade - 4.0 |
46 | |