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Udacity

Data Structures & Algorithms in Swift

via Udacity

Overview

Start off with a basic introduction to topics covered in this course and the overall content structure, including an explanation of expected Swift knowledge.

Syllabus

  • Introduction and Efficiency
    • Start off with a basic introduction to topics covered in this course and the overall content structure, including an explanation of expected Swift knowledge.
  • List-Based Collections
    • Learn the definition of a list in computer science, and see definitions and examples of list-based data structures, arrays, linked lists, stacks, and queues.
  • Searching and Sorting
    • Explore how to search and sort with list-based data structures, including binary search and bubble, merge, and quick sort. Learn how to use recursion.
  • Maps and Hashing
    • Understand the concepts of sets, maps (dictionaries), and hashing. Examine common problems and approaches to hashing, and practice with examples.
  • Trees
    • Learn the concepts and terminology associated with tree data structures. Investigate tree types, such as binary search trees, heaps, and self-balancing trees.
  • Graphs
    • Examine the theoretical concept of a graph and understand common graph terms, coded representations, properties, traversals, and paths.
  • Case Studies in Algorithms
    • Explore famous computer science problems, specifically the Shortest Path Problem, the Knapsack Problem, and the Traveling Salesman Problem.
  • Technical Interviewing Techniques
    • Learn about the “algorithm” for answering common technical interviewing questions. Practice and get tips for giving interviewers what they’re looking for.

Taught by

Jarrod Parkes and James Parkes

Reviews

4.5 rating at Udacity based on 2 ratings

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