Non-CS Students:
There is currently space available for some non-CS students to take this course. Please email the professor (see syllabus) with the subject "CSE545: Request to enroll as non-CS student" and answer the following questions:
- Why do you want to take this course?
- Can you confirm that you have strong understanding and practice of the following concepts?
- Programming and handling data in Python (e.g. numpy, scipy).
- Matrix linear algebra and linear regression.
- Probability distributions.
- Hashing (hash functions, tables, hashmaps/dictionaries).
- Algorithm theory and runtime complexity.
Unfortunately, Solar will not in fact open up for non-CS students to be able to sign up themselves. Please include your full name and SBU ID in the email.
Stony Brook University, Computer Science
This course will cover concepts and standard tools used to analyze, so called, Big Data.
Specifically, we will cover algorithmic approaches to analyzing large datasets:
MapReduce, large-scale text and graph analytics, distributed deep learning, and streaming algorithms,
over modern distributed analysis platforms (e.g. Hadoop, Spark,). The course will have a large
project component, incorporating analyses over large real world data sets.