Skip to main content
SPS Logo

Course Schedule

Data Science

Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 454-DL : Advanced Modeling Techniques


Description

Drawing upon previous course work in data science, this course build on earlier courses in analytics and modeling, providing an advanced review of traditional statistics and machine learning. It explores computer-intensive methods for parameter and error estimation, model selection, and model validation. Example topics include ordinary least squares regression, logistic regression, multinomial logistic regression, classification and regression trees, neural networks, support vector machines, naïve Bayes methods, principal components analysis, cluster analysis, and regularization techniques. Students work on individual and team assignments using open-source programming tools.

Recommended prior course: 411-DL Data Modeling for Unsupervised Learning

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.


Summer 2019
Start/End DatesDay(s)TimeBuildingSection
06/24/19 - 09/01/19Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Bhatti, Chad
Online
Cancelled

Fall 2019
Start/End DatesDay(s)TimeBuildingSection
09/24/19 - 12/08/19Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Bhatti, Chad
Online
Open

Spring 2020
Start/End DatesDay(s)TimeBuildingSection
03/30/20 - 06/07/20Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Bhatti, Chad
Online
Open
Back to top