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Fall 2020 Computer Science and Operations Research W4246 section 001
ALGORITHMS FOR DATA SCIENCE
ALGORITHMS FOR DATA SCIEN

Call Number 10808
Day & Time
Location
TR 10:10am-12:55pm
ONLINE ONLY
Points 3
Grading Mode Standard
Approvals Required None
Instructor Eleni Drinea
Type LECTURE
Method of Instruction On-Line Only
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
Subterm 10/26-12/14 (B)
Department Computer Science
Enrollment 157 students (140 max) as of 12:03PM Wednesday, October 21, 2020
Status Full
Subject Computer Science and Operations Research
Number W4246
Section 001
Division Interfaculty
Campus Morningside
Section key 20203CSOR4246W001

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SIS update 10/21/20 12:03    web update 10/21/20 12:18