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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.

Spring 2022 Industrial Engineering and Operations Research E4523 section 002

Call Number 18332
Day & Time
TR 5:40pm-6:55pm
833 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Uday Menon
Method of Instruction In-Person
Course Description IEOR students only; priority to MSBA students. Survey tools available in Python for getting, cleaning, and analyzing data. Obtain data from files (csv, html, json, xml) and databases (Mysql, PostgreSQL, NoSQL), cover the rudiments of data cleaning, and examine data analysis, machine learning, and data visualization packages (NumPy, pandas, Scikit-lern, bokeh) available in Python. Brief overview of natural language processing, network analysis, and big data tools available in Python. Contains a group project component that will require students to gather, store, and analyze a data set of their choosing.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 42 students (75 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E4523
Section 002
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221IEOR4523E002

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SIS update 06/25/22 08:03    web update 06/25/22 17:34