Undergraduate Course Directory

Course Search

To filter and search by keywords in course titles, see the Course Search.

Courses by Subject Area

Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

4502. Big Data Analytics

3.00 credits

Prerequisites: CSE 3500; MATH 2210; open only to students in the School of Engineering and declared Computer Science and Analytics minors

Grading Basis: Graded

Focuses on basic concepts of data science and big data analytics. Different algorithmic techniques employed to process data will be discussed. Specific topics include: Parallel and out-of-core algorithms and data structures, rules mining, clustering algorithms, text mining, string algorithms, data reduction techniques, and learning algorithms. Applications such as motif search, k-locus association, k-mer counting, error correction, sequence assembly, genotype-phenotype correlations, etc. will be investigated.

Last Refreshed: 06-MAY-21 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Fall 2021 Storrs Distance Learning Rajasekaran, Sanguthevar 001 Reg TuTh 3:30pm‑4:30pm
No Room Required - Online 36/40