Course Schedule - Fall Semester 2019


MGMT 895 001 (CRN: 14230)


Department: Management
Instructor: Kamakura, Wagner A.
8:00AM - 12:30PM F MCN 314 (30-AUG-2019 - 30-AUG-2019) 
1:30PM - 6:00PM F MCN 314 (13-SEP-2019 - 13-SEP-2019) 
8:00AM - 12:30PM F MCN 314 (27-SEP-2019 - 27-SEP-2019) 
1:30PM - 3:30PM F MCN 314 (27-SEP-2019 - 27-SEP-2019) 
8:00AM - 12:30PM S MCN 314 (12-OCT-2019 - 12-OCT-2019) 
10:30AM - 12:30PM F MCN 314 (25-OCT-2019 - 25-OCT-2019) 
1:30PM - 6:00PM F MCN 314 (25-OCT-2019 - 25-OCT-2019) 
1:30PM - 6:00PM F MCN 314 (8-NOV-2019 - 8-NOV-2019) 
1:30PM - 6:00PM S MCN 314 (23-NOV-2019 - 23-NOV-2019) 
8:00AM - 12:30PM S MCN 314 (7-DEC-2019 - 7-DEC-2019) 
Session: EMBA Term I
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Must be enrolled in one of the following Program(s):
MBA - Executive Program
Must be enrolled in one of the following Level(s):
Section Max Enrollment: 0 (permission required)
Section Enrolled: 63
Enrollment data as of: 3-OCT-2023 6:26PM
Additional Fees: None
Final Exam: GR Course-Dept Schedules Exam
Description: The ever-increasing capacity of computers to analyze data, and the explosion of the amount of data available, has resulted in an increased role for data analysis as an aid to business decision-making. This course exposes the student to the most important ideas and methods relevant for data analysis in a business context. Emphasizing practical applications to real problems, the course covers the following topics: Sampling, Descriptive Statistics, Probability Distributions, and Regression Analysis. Students are strongly encouraged to bring data from work; projects from previous years have returned significant monetary value to students’ current employers and examples of these projects will be provided in class. Repeatable for Credit.