IE 517

IE 517 - Machine Learning in Fin Lab

Fall 2021

Title	Rubric	Section	CRN	Type	Hours	Times	Days	Location	Instructor
Machine Learning in Fin Lab	IE517	A	74048	LEC	2	0800 - 0920	T R	2233 Everitt Laboratory	Matthew D Murphy
Machine Learning in Fin Lab	IE517	AO	75990	OLC	2	0800 - 0920	T R		Matthew D Murphy

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Web Page

https://compass2g.illinois.edu/webapps/blackboard/content/listContent.jsp?course_id=_60629_1&content_id=_5473047_1&mode=reset

Documents

Fall 23 IE517 Syllabus

Official Description

Machine Learning includes the design and the study of algorithms that can learn from experience, improve their performance and make predictions. This course is designed specifically and exclusively for MSFE first semester students. It features rigorous coding exercises in Python and acts as preparation for later courses. Students will learn the concepts behind different supervised machine learning algorithms and implement them in Python using advanced packages; pandas, NumPy, and scikit-learn. All the data for this course features unique real-world financial datasets. Course Information: 2 graduate hours. No professional credit. Prerequisite: Credit or concurrent enrollment in IE 523. Restricted to MS: Financial Engineering.