OR 750. Advanced Data Analytics

Department of Systems Engineering and Operations Research
George Mason University
Fall 2018


This is a PhD course focused on developing deep learning predictive models. We will learn both practical and theoretical aspects of deep learning. We will consider applications in engineering, finance and artificial intelligence. It is targeted towards the students who have completed an introductory courses in statistics and optimization. We will make extensive use of computational tools, such as the Python language, both for illustration in class and in homework problems. The class will consist of 12 lectures given by the instructor on several advanced topics in deep learning. At another 3 lectures students will present on the topic of their choice.

Announcements

List of topics

Course staff

Instructor: Vadim Sokolov
Office: Engineering Building, Room 2242
vsokolov(at)gmu.edu
Tel: 703-993-4533

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Office hours

Vadim Sokolov: By appointment (at Engineering 2242)

Lectures

Location: Enterprise Hall 77
Times: 4:30-7:10pm on Monday

Grades

Grade composition: No in-class examination. Grade is based entirely on participation in class and homework assignments.

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