NBA 6070

NBA 6070

Course information provided by the Courses of Study 2023-2024.

This course will help students to gain the necessary skills of building a data product and using AI (artificial intelligence). Many industries today are faced with high data volumes and there is an understanding that "data is the new gold". Business or customer value is not created by data; but rather, it is created by the application of data, ML (machine learning) and deep learning AI. This course trains students to link the possibilities of data and AI to business needs. This course will be held over seven class sessions of double-period length. These classes will be a combination of lectures, discussions, interviews, hands on training with data and AI and peer reviews. At the end of this course students will build their own AI driven product. 

When Offered Spring.

View Enrollment Information

Syllabi:
  •   Regular Academic Session. 

  • 1.5 Credits GradeNoAud

  •  8461 NBA 6070   LEC 001

  • Instruction Mode: In Person
    Enrollment limited to: MBA and Graduate Students Only. **Attendance at ALL sessions is REQUIRED** Deadline for Changing Grade Option: Prior to the start of the 2nd class meeting. ARRANGED: Add/Drop dates: March 2nd There is a late fee of $100.00 for each add or drop transaction after the 2nd class meeting date. You will also receive a "W" on your transcript in addition to the late fees after the 2nd class meeting date. This course counts as a Management Science Elective.

Syllabi:
  •   Regular Academic Session. 

  • 1.5 Credits GradeNoAud

  •  8462 NBA 6070   LEC 002

  • Instruction Mode: In Person
    Enrollment limited to: MBA and Graduate Students Only. **Attendance at ALL sessions is REQUIRED** Deadline for Changing Grade Option: Prior to the start of the 2nd class meeting. ARRANGED: Add/Drop dates: March 2nd There is a late fee of $100.00 for each add or drop transaction after the 2nd class meeting date. You will also receive a "W" on your transcript in addition to the late fees after the 2nd class meeting date. This course is a Management Science Elective.