CSE 802 / Arun Ross - MSU Grades

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CSE 802 taught by Arun Ross (Course & Instructor) - 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 / Arun Ross - All Semesters

Average Grade - 3.838
Median Grade - 4.0
323 total students

Latest grades from Spring 2024

CSE 802 / Arun Ross - Overview

Semester	Grade Info	Number of Students
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 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