2600. Introduction to Data Science and Engineering
3.00 credits
Prerequisites: CSE 1010. Not open for credit to students who have passed CSE 4095 when offered as "Introduction to Data Science and Engineering." May not be taken out of sequence after passing CSE 4820 or CSE 5819.
Grading Basis: Graded
Introduction to a broad selection of challenges and methodologies in working with big data. Topics to be covered include fundamental data science lifecycle topics such as data acquisition, management, integration, visualization, modeling, analysis, prediction, as well as data security, data privacy and ethics.
Last Refreshed:
To view current class enrollment click the refresh icon next to the enrollment numbers.
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes |
|---|