Catalog Entries |
|
|
 |
||
 | Select the Course Number to get further detail on the course. Select Schedule Type to find available sections of the course as well as section specific prerequisites. Prerequisites listed in the catalog descriptions are recommended and may not be the same as registration prerequisites in PipelineMT. Use the Look Up Classes link for a grid display of important course information as well as prerequisites and memo notes about the section. |
| CSCI 7400 - Cloud Computing for Data Analysis |
|
Prerequisite: CSCI 3110 with grade of C or better. Familiarity with Java, Python, C++, Unix, good programming skills, and a solid mathematical background recommended. Introduces the basic principles of cloud computing for massive data applications. Focuses on parallel and/or distributed computing using frameworks like Hadoop and Apache Spark for massive data applications in the areas of web search, information retrieval, and machine learning. Students read and present research papers on these topics, implement programming assignments and projects to get hands-on experience with the cloud computing frameworks for data analysis.
3.000 Credit hours Levels: Graduate Schedule Types: Lecture Computer Science Department Course Attributes: College of Basic & Applied |
|