Course Schedule - Spring Semester 2016


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: 24197)


Department: Management
Instructor: Hamidieh, Kam
Meeting:  (4-MAR-2016 - 29-APR-2016) 
Part of Term: PMBA Second Year 9
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:
Must be enrolled in one of the following Program(s):
MBA for Professional Extended
MBA for Professional Weekend
MBA for Professionals
Prerequisites: MGMT 595 OR MGMP 595 OR MGMW 595
Section Max Enrollment: 65
Section Enrolled: 23
Enrollment data as of: 15-JUL-2024 9:16PM
Additional Fees: None
Final Exam: Final Exam Unknown
Description: You will be introduced to the most widely used prediction algorithms and techniques that help companies answer business questions in various industries.. The course aims to the general audience including business managers and analysts. A major theme of the course will be to highlight the importance and impact of prediction algorithms in the age of Big Data. Our learning approach will be quite "hands-on": you will use the cutting edge open source software to code, test, and evaluate prediction models. No prior coding experience is needed but previous knowledge of a data analysis tool such as Excel is highly recommended. All technical material will be covered in an intuitive way. Repeatable for Credit.