The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. 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.
5717. Big Data Analytics
3.00 credits
Prerequisites: Open to graduate students in the CSE program, others with consent. Recommended preparation: CSE 3500 and MATH 2210Q.
Grading Basis: Graded
Focuses on data science and big data analytics. Introduces basic concepts of data science and 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: 23-APR-24 05.21.45.647850 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1243 7339 1 001 | Spring 2024 | 7339 | Storrs | In Person | Wei, Wei | 001 | Reg | TuTh 12:30pm‑1:45pm |
27/20 | MCHU 302 | 3.00 | Graded | |
| 1243 13389 1 002 | Spring 2024 | 13389 | Storrs | Online Asynchronous | Wei, Wei | 002 | Reg | 17/25 | No Room Required - Online | 3.00 | Graded | Reserved for MEng | |
| 1248 4846 1 001 | Fall 2024 | 4846 | Storrs | In Person | Rajasekaran, Sanguthevar | 001 | Reg | TuTh 11:00am‑12:15pm |
8/30 | PWE 175 | 3.00 | Graded | |
| 1248 4847 1 002 | Fall 2024 | 4847 | Storrs | In Person | Wei, Wei | 002 | Reg | TuTh 12:30pm‑1:45pm |
6/20 | MCHU 205 | 3.00 | Graded |