Course Schedule and Catalog
Course Schedule - Spring Semester 2018
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 649 001 (CRN: 25153)
DATA MINING FOR BUS ANALYTICS
Long Title: DATA MINING FOR BUSINESS ANALYTICS
Department: Management
Instructor: Hamidieh, Kam
Meetings:
1:30PM - 6:30PM S (13-JAN-2018 - 13-JAN-2018)
7:30AM - 12:30PM S (20-JAN-2018 - 20-JAN-2018)
1:30PM - 6:30PM S (3-FEB-2018 - 3-FEB-2018)
7:30AM - 12:30PM S (17-FEB-2018 - 17-FEB-2018)
Part of Term: PMBA Second Year 1
Grade Mode: Standard Letter
Course Type: Seminar
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
Prerequisites: MGMT 595 OR MGMP 595 OR MGMW 595
Section Max Enrollment: 37
Section Enrolled: 13
Enrollment data as of: 19-APR-2025 12:23PM
Final Exam: GR Course-Dept Schedules Exam
Description: This course covers fundamental principles behind data mining applications, introduce popular data mining algorithms and techniques, examine how data mining technology can be used in decision making, work on real-world data “hands-on” with open-source software, explore Deep Learning and their impact. Repeatable for Credit.