Course Schedule - Fall Semester 2024

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

MGMT 769 002 (CRN: 17195)

AI FOR CUSTOMER ANALYTICS

Long Title: AI FOR CUSTOMER ANALYTICS
Department: Management
Instructor: Anand, Piyush
Meetings:
6:15PM - 9:30PM W (30-OCT-2024 - 4-DEC-2024) 
6:15PM - 9:30PM M (9-DEC-2024 - 9-DEC-2024) 
Part of Term: MBA Term II
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 1.5
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Program(s):
MBA Hybrid
MBA for Professional Extended
MBA for Professionals
MBA for Professional Weekend
MBA - Executive Program
MBA
Must be enrolled in one of the following Level(s):
Graduate
Graduate Quadmester
Section Max Enrollment: 45
Section Enrolled: 19
Enrollment data as of: 17-JUN-2024 1:13AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: This course introduces AI tools for large-scale customer text data to draw customer insights. Through this course, students will be introduced to methods such as word embeddings and generative AI (Transformers), and apply these methods across different customer analytics applications such as examining customer topics and generating product insights. Recommended Prerequisite(s): MGMT 665 or MGMT 679