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CSE 881 taught by Jiliang Tang (Course & Instructor) - Grade Details

(with breakdown by semester)

Course Title: Data Mining

Course Description: Techniques and algorithms for knowledge discovery in databases, from data preprocessing and transformation to model validation and post-processing. Core concepts include association analysis, sequential pattern discovery, anomaly detection, predictive modeling, and cluster analysis. Application of data mining to various application domains.


CSE 881 / Jiliang Tang - All Semesters

Average Grade - 3.876
Median Grade - 4.0
274 total students

Latest grades from Spring 2024

CSE 881 / Jiliang Tang - Overview

Semester Grade Info
Spring 2017 Average Grade - 3.921
Median Grade - 4.0
Spring 2018 Average Grade - 3.950
Median Grade - 4.0
Spring 2019 Average Grade - 3.588
Median Grade - 4.0
Spring 2020 Average Grade - 3.964
Median Grade - 4.0
Spring 2021 Average Grade - 4.000
Median Grade - 4.0
Spring 2022 Average Grade - 3.947
Median Grade - 4.0
Spring 2023 Average Grade - 3.854
Median Grade - 4.0
Spring 2024 Average Grade - 3.890
Median Grade - 4.0

Back to Overview for CSE 881 / Jiliang Tang

Spring 2024

Average Grade - 3.890
Median Grade - 4.0
77 total students

Back to Overview for CSE 881 / Jiliang Tang

Spring 2023

Average Grade - 3.854
Median Grade - 4.0
48 total students

Back to Overview for CSE 881 / Jiliang Tang

Spring 2022

Average Grade - 3.947
Median Grade - 4.0
19 total students

Back to Overview for CSE 881 / Jiliang Tang

Spring 2021

Average Grade - 4.000
Median Grade - 4.0
29 total students

Back to Overview for CSE 881 / Jiliang Tang

Spring 2020

Average Grade - 3.964
Median Grade - 4.0
28 total students

Back to Overview for CSE 881 / Jiliang Tang

Spring 2019

Average Grade - 3.588
Median Grade - 4.0
34 total students

Back to Overview for CSE 881 / Jiliang Tang

Spring 2018

Average Grade - 3.950
Median Grade - 4.0
20 total students

Back to Overview for CSE 881 / Jiliang Tang

Spring 2017

Average Grade - 3.921
Median Grade - 4.0
19 total students


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