Course Schedule and Catalog
Course Schedule - Fall Semester 2022
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.
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: 14485)
MACHINE LEARNING FOR MARKETING
Long Title: MACHINE LEARNING FOR MARKETING ANALYTICS
Department: Management
Instructor: Anand, Piyush
Meeting: 6:15PM - 9:30PM M (24-OCT-2022 - 28-NOV-2022)
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 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
Prerequisites: MGMT 679
Section Max Enrollment: 45
Section Enrolled: 4
Enrollment data as of: 23-APR-2024 8:37AM
Final Exam: GR Course-Dept Schedules Exam
Description: This course introduces machine learning tools for marketing analytics from large-scale online text data. Methods covered include topic modelling, word embeddings, recurrent neural networks, and deep learning (BERT). Applications covered include extracting topics in discussions, mining brand sentiment, estimating product positioning, and generating product insights from large-scale text data such as consumer reviews and firm disclosures using Python.