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Data Science

Course Descriptions and Schedule

MSDS 458-DL : Artificial Intelligence and Deep Learning


Description

An introduction to the field of artificial intelligence, this course illustrates probability-rule-based generative models as well as discriminative models that learn from training data. The course reviews applications of artificial intelligence and deep learning in vision and language processing. Students learn best practices for building supervised learning models and, in particular, deep neural networks for classification and regression. Students also learn about feature engineering, autoencoders, and strategies of unsupervised and semi-supervised learning, as well as reinforcement learning. This is a project-based course with extensive programming assignments.

This is a required course for the Artificial Intelligence specialization.

Prerequisites: (1) MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.


Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Maren, Alianna
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync Th
7 – 9:30 p.m. 56
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
Online
Open

Spring 2019
Start/End DatesDay(s)TimeBuildingSection
04/01/19 - 06/09/19Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Maren, Alianna
Online
Open

Spring 2019
Start/End DatesDay(s)TimeBuildingSection
04/01/19 - 06/09/19Optional Sync Th
7 – 9:30 p.m. 56
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
Online
Open
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