Course Catalog Information (24-25)
CIS 44F
Introduction to Big Data and Analytics
Course Description
This course is an 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. The course also introduces 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
- 4 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 0
- Gen Ed
- Non-GE Class
- Program Status
- Program Applicable
- Credit
- Credit - Degree Applicable
- Transferability
- Transferable to both UC and CSU
- Grading Method
- Letter Grading
- Formerly Statement
- Formerly CIS 064F
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
- .