CS

Data Structures

23 hours, 7 minutes 13 Seconds

Description

Data structures form the backbone of efficient software, governing how information is organized, accessed, and manipulated. This course builds a rigorous foundation in arrays, linked lists, stacks, queues, trees, and graphs, paired with the algorithmic thinking needed to choose the right structure for the right problem. Students move from theory to hands-on implementation, learning to reason about time and space complexity as a core engineering skill.

What Students Will Learn

+ Linear Structures: Arrays, Lists, Stacks & Queues ›
+ Trees and Hierarchical Structures ›
+ Graphs and Graph Algorithms ›
+ Hashing and Complexity Analysis ›

Overall Learning Outcomes

  1. Structural Fluency: Implement and choose appropriate data structures for varied computational problems.
  2. Algorithmic Reasoning: Analyze time and space complexity to evaluate solution efficiency.
  3. Problem Solving: Translate real-world problems into structured, solvable computational models.
  4. Foundational Readiness: Build the prerequisite skillset for advanced coursework in algorithms and systems design.
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