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Fall 2020 Computer Science and Operations Research W4246 section 002
ALGORITHMS FOR DATA SCIENCE
ALGORITHMS FOR DATA SCIEN

Call Number 10809
Day & Time
Location
TR 2:40pm-3:55pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Eleni Drinea
Type LECTURE
Course Description Prerequisites: basic knowledge in programming (e.g. at the level of COMS W1007), a basic grounding in calculus and linear algebra. Methods for organizing data, e.g. hashing, trees, queues, lists,priority queues. Streaming algorithms for computing statistics on the data. Sorting and searching. Basic graph models and algorithms for searching, shortest paths, and matching. Dynamic programming. Linear and convex programming. Floating point arithmetic, stability of numerical algorithms, Eigenvalues, singular values, PCA, gradient descent, stochastic gradient descent, and block coordinate descent. Conjugate gradient, Newton and quasi-Newton methods. Large scale applications from signal processing, collaborative filtering, recommendations systems, etc.
Web Site Vergil
Department Computer Science
Enrollment 2 students (123 max) as of 4:38PM Thursday, July 2, 2020
Subject Computer Science and Operations Research
Number W4246
Section 002
Division Interfaculty
Open To Engineering:Graduate
Campus Morningside
Section key 20203CSOR4246W002

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SIS update 07/02/20 16:38    web update 07/02/20 17:19