Introduction to Data Mining

Fall 2023 > Computer Related > INFO.3085 > 082

Course No: INFO.3085-082; SIS Class Nbr: 14081; SIS Term: 3310
Course Status: Open Added 5/22/23

Course Description

Today, we are surrounded by data science applications. Smartphone and sensor data, medical and scientific data, financial data, web and text data, and social network data are just a few examples. As a result, mining useful information and discovering knowledge from such data are increasingly important. It is fair to say that, without data mining, we would not be able to make good use of this large amount of data. In this course, we learn the state-of-the-art techniques in data mining and analysis. Topics include types and properties of data, exploring data, classification, association analysis, cluster analysis, and anomaly detection.

Prerequisites, Notes & Instructor

• Prerequisites: INFO.2110 or INFO.2670 Pre-req
• Credits: 3; Contact Hours: 3
• Instructor: Tingjian Ge
• Textbook Information

When Offered & Tuition

• Online Course
• 2023 Fall: Oct 30 to Dec 22
• Course Level: Undergraduate
• Tuition: $1140
• Note: There is a $30 per semester registration fee for credit courses.

Every effort has been made to ensure the accuracy of the information presented in this catalog. However, the Division of Graduate, Online & Professional Studies reserves the right to implement new rules and regulations and to make changes of any nature to its program, calendar, procedures, standards, degree requirements, academic schedules (including, without limitations, changes in course content and class schedules), locations, tuition and fees. Whenever possible, appropriate notice of such changes will be given before they become effective.