Fall 2024
> Computer Related
> INFO.3085
> 082
Course No: INFO.3085-082; SIS Class Nbr: 9187; SIS Term: 3410
Course Status: Registration Closed
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.1600 Introduction to Information Systems, or Permission of Instructor.
- Core Codes: LOW COST
- Credits: 3; Contact Hours: 3
- Instructor: Tingjian Ge
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Textbook Information
When Offered & Tuition
- Online Course
- 2024 Fall: Oct 28 to Dec 20
- Course Level: Undergraduate
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Tuition: $1155
- Note: There is a $30 per semester registration fee for credit courses.
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