Course Catalog Information (24-25)
CIS 344F
Introduction to Big Data and Analytics
Course Description
Introduction to Big-Data deluge, management of unstructured and structured data, and design of large-scale database systems. Concepts covered include Map-reduce parallel processing algorithms, Real-time analytics, classification, and predictive analytics, attributes of Big-Data, and related issues. Introduction to large-scale file systems and operations and parallel processing algorithms.
Student Learning Outcomes
- Design, implement and debug a large scale database system using technology like Hadoop or Cassandra.
- Perform data analysis using a large-scale database systems given a set of user requirements.
Course Details
- Units
- 0 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 0
- Gen Ed
- Non-GE Class
- Program Status
- Program Applicable
- Credit
- Non-credit Class
- Transferability
- Not transferable
- Grading Method
- Letter Grading
Requisite and Advisory
- Advisory(ies)
- ESL 272 and ESL 273, or ESL 472 and ESL 473, or eligibility for EWRT 1A or EWRT 1AH or ESL 5
- Prerequisite(s)
- Corequisite(s)
Limitations on Enrollment and Entrance Skills
- Limitation(s) on Enrollment
- .