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 679 003 (CRN: 14465)
MACHINE LEARNING FOR BUSINESS
Long Title: MACHINE LEARNING FOR BUSINESS ANALYTICS
Department: Management
Instructor: Anand, Piyush
Meetings:
7:30AM - 12:30PM S (27-AUG-2022 - 27-AUG-2022)
1:30PM - 6:30PM S (10-SEP-2022 - 10-SEP-2022)
7:30AM - 12:30PM S (24-SEP-2022 - 24-SEP-2022)
1:30PM - 6:30PM S (8-OCT-2022 - 8-OCT-2022)
Part of Term: MBA Weekend Term 1
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 595 OR MGMP 595 OR MGMW 595 OR MGMT 895
Section Max Enrollment: 45
Section Enrolled: 9
Enrollment data as of: 19-APR-2024 1:46AM
Final Exam: GR Course-Dept Schedules Exam
Description: Introduces machine learning techniques used in business applications to draw managerial insights from data. Methods covered include naïve Bayes classifier, classification trees and neural networks, with applications settings such as marketing, finance, healthcare and other business areas through assignments and a group project. Recommended Prerequisite(s): MGMT 665