Oct 31, 2024  
2021-2023 - Undergraduate Catalog 
    
Catalog Navigation
  Catalog Home
  Introduction
  Admission Policies and Procedures
  Academic Policies and Procedures
  Student Matters
  Elnetta G. Jones University Center for Student Success and Exploratory Studies
  University Curricula
  Programs of Study
  Course Descriptions
  Faculty and Administration
  My Portfolio
HELP
2021-2023 - Undergraduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

CSC 402 - Big Data Analytics Credits: 4

We are living in data-intensive world. Efficiently extracting, interpreting, and learning from very large datasets requires efficient and scalable algorithms as well as new data management technologies. Machine learning techniques and high performance computing make the efficient analysis of large volumes of data. In this course we explore big dataset analysis techniques and apply it to the distributed. This course is highly interactive. Students are expected to make use of technologies to design highly scalable systems that can process and analyze Big Data for a variety of scientific, social, and environmental challenges.

Prerequisite(s): CSC 310   with a minimum grade of C and MAT 217  


Add to Portfolio (opens a new window)