MATH 490

Fall 2019 All Classes

All Classes

Advanced Topics in Mathematics

Credit: 1 TO 4 hours.

Deals with selected topics and applications of mathematics; see Class Schedule or department office for current topics.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated with approval. Prerequisite: Consent of instructor.

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MATH 490 class schedule data for fall 2019
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	54837	Lecture-Discussion	KK	2:00PM -2:50PM	MWF	147 Altgeld Hall	Kirkpatrick, K	Part of Term: 1 Date Range: 08/26/19-12/11/19 Credit: 3 hours Section Title: Mathematics of MachineLearning Section Info: Mathematics of Machine Learning. Prerequisite: Math 461 or Stat 410 and one of CS 101 or 125 or equivalent. Description: Machine learning is a growing field at the intersection of probability, statistics, optimization, and computer science, which aims to develop algorithms for making predictions based on data. This course will cover foundational models and mathematics for machine learning, including statistical learning theory and neural networks, with a project component.This section is restricted to Mathematics majors until the 8am April 17, 2019.