CPSC 558 - Data Mining and Predictive Analytics II

Instructor:

Dr. Dylan Schwesinger

Location:

OM 158

Meeting times:

Wednesday 6:00pm – 8:50pm, OM 158

Course Zoom Meeting ID:

945 8610 3527

Office hours:

Monday 3:30pm – 5:30:00pm

Tuesday and Thursday 9:30am – 11:00am

Office hours Zoom meeting ID:

732 788 237

Course Description

This course covers advanced study and practice in data mining and predictive analytics. Topics include understanding, configuring, and applying advanced variants of data association, classification, clustering, and statistical analysis engines, analyzing and applying underlying machine learning algorithms, exploring instance-based, support vector, time-series, ensemble, graphical, and lazy learning algorithms, meta-learning, neural nets, genetic algorithms, and validating results. The course examines topics specific to very large data sets. Data cleaning and formatting require some programming in a modern scripting language. Other course activities include using, extending, and customizing off-the-shelf machine learning software systems to accomplish the tasks of data analysis.

Prerequisite: CPSC 458 or Unconditional acceptance to the graduate program.

Course Information

• First Day Handout
• Class Handout Information
• CS&IT Documentation Standards
• CS&IT Academic Integrity Policy

Tentative Schedule