University of Kentucky

MA 721: Selected Topics in Numerical Analysis: Deep Learning Algorithms

Fall 2025

MWF 1:00 pm - 1:50 pm, Chemistry-Physics Bldg Rm.183


Instructor

     Dr. Qiang Ye
     Office: 735 Patterson Office Tower
     Phone:257-4653
     Email: qye3 "at" uky . edu
     Office Hours:  MWF 3:00-4:00 pm

Textbook

There will be no required text, but the following book will be a good source of references:

Course Announcement

Here is a course announcement where most information can be found.

Syllabus

In this course, we study a widely applicable class of machine learning methods called deep learning. We will cover the following topics: Selected materials from optimization, linear algebra, and probability/information theory will be reviewed.

Prerequisites

Familiarity with multivariate calculus, linear algebra, numerical methods, and programming in Python.