Course Overview
Algorithms and Data Structures examines how computational problems are solved efficiently and how information is organized for processing. Learners study complexity, sorting, searching, recursion, linear structures, hierarchical structures, graph structures, and algorithm design strategies used across software engineering and theoretical computer science.
Algorithms and Data Structures Topics
-
Complexity Analysis
Focused study of complexity analysis as a core topic within algorithms and data structures, emphasizing conceptual understanding, technical vocabulary, reasoning patterns, and links to practical computing systems.
-
Sorting and Searching
Focused study of sorting and searching as a core topic within algorithms and data structures, emphasizing conceptual understanding, technical vocabulary, reasoning patterns, and links to practical computing systems.
-
Arrays and Linked Structures
Focused study of arrays and linked structures as a core topic within algorithms and data structures, emphasizing conceptual understanding, technical vocabulary, reasoning patterns, and links to practical computing systems.
-
Stacks, Queues, and Heaps
Focused study of stacks, queues, and heaps as a core topic within algorithms and data structures, emphasizing conceptual understanding, technical vocabulary, reasoning patterns, and links to practical computing systems.
-
Trees and Graphs
Focused study of trees and graphs as a core topic within algorithms and data structures, emphasizing conceptual understanding, technical vocabulary, reasoning patterns, and links to practical computing systems.
-
Recursion and Divide Conquer
Focused study of recursion and divide conquer as a core topic within algorithms and data structures, emphasizing conceptual understanding, technical vocabulary, reasoning patterns, and links to practical computing systems.
-
Algorithm Design Strategies
Focused study of algorithm design strategies as a core topic within algorithms and data structures, emphasizing conceptual understanding, technical vocabulary, reasoning patterns, and links to practical computing systems.