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Graph Search, Shortest Paths, and Data Structures
Coursera
Course
Unknown

Graph Search, Shortest Paths, and Data Structures

Stanford University

Explore advanced data structures and graph search algorithms focusing on shortest paths and network applications like deduplication and connectivity.

Unknown4 weeksEnglish93,256 enrolled

About this Course

The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).

What You'll Learn

  • Understand complex data structures
  • Apply graph search algorithms
  • Analyze connectivity and shortest paths
  • Use algorithms in practical network applications

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

T

Tim Roughgarden

Professor

Topics

Algorithms
Computer Science
Math and Logic
Theoretical Computer Science
Network Analysis
Network Model
Data Structures
Programming Principles
Graph Theory
Network Routing

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الخوارزميات
علوم الحاسوب
الرياضيات والمنطق
علوم الحاسوب النظرية
تحليل الشبكات
نماذج الشبكات
هياكل البيانات
مبادئ البرمجة
Graph Theory
Network Routing

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