Big Data
Durham
Paul College of Business&Econ :: Decision Sciences
Credits: 3.0
Term: Spring 2025 - Term 4 (03/24/2025 - 05/16/2025)
Grade Mode: Letter Grading
Term: Spring 2025 - Term 4 (03/24/2025 - 05/16/2025)
Grade Mode: Letter Grading
Class Size:
30
CRN: 52761
CRN: 52761
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.
Prerequisite(s): DS 801 with minimum grade of B- and DS 804 with minimum grade of B- and DS 805 with minimum grade of B-
Instructors: Gorkem Turgut (G.T.) Ozer
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
3/24/2025 | 5/16/2025 | R | 5:40pm - 9:15pm | PCBE 215 |