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Program Courses

Information Systems

Program Courses

CIS 435-0 : Data Science/Machine Learning


Description

This course provides an introduction to data science with a focus on building real-life business applications using machine learning. Students learn data mining applications, core concepts, algorithms and overview of open source/commercial tools. This course takes a hands-on approach to this topic and prepares students for applying appropriate machine learning modeling techniques (Collaborative Filtering, Association, Clustering and Classification) for given real-world use cases. Students learn via experimentation; they observe the outcome of applying machine learning algorithms to structured and unstructured data using open source software.

It is highly recommended that students complete CIS 417 or possess equivalent knowledge and skills prior to taking this course.

Note for students in the MSIS program: This course is required for the specialization in Database and Internet Technologies. This course may be used as an elective towards all other specializations.

Note for students in the MHI/MMI program: This course is an elective for students pursuing the MHI/MMI degree.

Note for students in the MSPA program: This course is an elective for students pursuing the MSPA degree.

Note for all students: This course was formerly called Data Warehousing and Data Mining.

Fall 2018
Start/End DatesDay(s)TimeBuildingSection
09/27/18 - 12/09/18Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse FormatStatusCAESAR Course ID
Schofield, Gabriel
Online
Open
Spring 2019
Start/End DatesDay(s)TimeBuildingSection
04/01/19 - 06/09/19Optional Sync Tu
7 – 9:30 p.m. 55
InstructorCourse FormatStatusCAESAR Course ID
Kakade, Sunil
Online
Open
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