Big Data
Durham
Paul College of Business&Econ::Decision Sciences
Credits: 3.0
Class Size: 30
Term:
Spring 2024
-
Term 4 (03/25/2024
-
05/17/2024)
CRN:
56837
Grade Mode:
Letter Grading
This course is designed to be a capstone experience with emphasis on the integration of materials covered in prior courses. In addition, the course provides students with the knowledge and skills to manage and model vast quantities of data for business analytics. The course covers deep neural networks and large-scale data processing using ecosystems of computing tools such as TensorFlow and Apache Spark. Students learn how to store, analyze, and derive insights from large-scale datasets and develop an understanding of the implications of deep learning for business. As a part of the capstone experience, students complete a team project that focuses on using big data and artificial intelligence for business insights, and present and discuss their work.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 801 and DS 804 and DS 805
Instructors:
Gorkem Turgut (G.T.) Ozer
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
3/25/2024 | 5/17/2024 | R | 5:40pm - 9:00pm | PCBE 215 |