GRAPHS AND NETWORKS IN DATA SCIENCE

Name: GRAPHS AND NETWORKS IN DATA SCIENCE
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Rating: 4.4 (84 reviews)

MATH 444

课程描述

Mathematical foundations of networks with an emphasis on their applications in modern data science, using tools from algorithmic graph theory and linear algebra. Topics include: basics of graph theory, network statistics, graph traversal algorithms and implementation, matrix methods, community detection, PageRank, simulation of random graph models.

先修课程

(MATH 320 , MATH 340 , MATH 341 , or MATH 375 ) and (COMPSCI 200 , COMPSCI 220 , COMPSCI 300 , COMPSCI 310 , COMPSCI 320 , or placement in COMPSCI 300 ), graduate/professional standing, or declared in Mathematics VISP (undergraduate or graduate)

满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点

3.46

-1.95% 相比历史数据

完成率

98.44%

-0.38% 相比历史数据

A率

46.88%

-12.5% 相比历史数据

班级规模

52.38% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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