MATH 2071

Mathematics for Data Science

Lec 001 and Tut 401 selected

(3 Credits) 3 Lecture hours, 1 Tutorial hour This course introduces topics from discrete mathematics and probability that are important in the study of data science. Topics include logic, relations, combinatorics, graph theory, and Bayesian probability. Monte Carlo simulations are also introduced and implemented through the use of relevant programming languages.

Sections

Lecture

Lec 001

Mon, Wed 14:30-15:50

Mon, Wed14:30-15:50Lincoln Park E14541771

Tutorial, pick one

Tut 401

Thu 11:30-12:20

Thu11:30-12:20Lincoln Park T21941772

Tut 402

Thu 12:30-13:20

Thu12:30-13:20Lincoln Park T21941773

Syllabus

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