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Course Catalog

IE 451 Data Visualization and Analysis 3 Credits
Introduction to data analytics and information visualization; methods and metrics for validation; bias-variance trade- off; data visualization and understanding; data preprocessing; supervised learning (classification and regression); unsupervised learning; association rule mining; feature subset selection; metaheuristics; PCA; ANN and Multilayer Perceptron.
Last Offered Terms Course Name SU Credit
Fall 2023-2024 Data Visualization and Analysis 3
Fall 2022-2023 Data Visualization and Analysis 3
Fall 2021-2022 Data Visualization and Analysis 3
Fall 2019-2020 Data Visualization and Analysis 3
Spring 2013-2014 Data Visualization and Analysis (MS451) 3
Fall 2012-2013 Data Visualization and Analysis (MS451) 3
Summer 2011-2012 Data Visualization and Analysis (MS451) 3
Fall 2011-2012 Data Visualization and Analysis (MS451) 3
Fall 2010-2011 Data Visualization and Analysis (MS451) 3
Summer 2009-2010 Data Visualization and Analysis (MS451) 3
Spring 2009-2010 Data Visualization and Analysis (MS451) 3
Spring 2005-2006 Data Visualization and Analysis (MS451) 3
Spring 2004-2005 Data Visualization and Analysis (MS451) 3
Fall 2003-2004 Data Visualization and Analysis (MS451) 3
Fall 2002-2003 Data Visualization and Analysis (MS451) 3
Prerequisite: MATH 306 - Undergraduate - Min Grade D
Corequisite: __
ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: