Course Schedule and Catalog

Department: Computer Science

Meeting: 3:00PM - 3:50PM MWF HRZ AMP (10-JAN-2022 - 22-APR-2022) 

Session: Full Term

Grade Mode: Standard Letter

Course Type: Lecture

Language of Instruction: Taught in English

Method of Instruction: Face to Face

Credit Hours: 3

 

Section Max Enrollment: 100

Section Enrolled: 99

Enrollment data as of: 10-JUN-2023 4:01PM

 

 

Final Exam: GR Course-Dept Schedules Exam

 

Description: It is the information age! We face challenges brought by large-scale and unstructured information on open systems such as the Web or social media. Through this course, we'll study the theory, design, and implementation of text-based and Web-based information retrieval systems, including an examination of web and social media mining algorithms and techniques at the core of modern search and data mining applications. Recommended Prerequisite(s): Linear Algebra and Basic Probability Theory