FrontendMasters – Four Semesters of Computer Science in 5 Hours

FrontendMasters – Four Semesters of Computer Science in 5 Hours
English | Size: 2.64 GB
Category: Tutorial

We’re going to tackle some big topics in just five hours: Algorithms and Big O Analysis, Recursion, Sorting, Data Structures and Functional Programming. What? Is that even possible? We’re sure as hell going to try! Since many of us are self taught and/or dropouts (myself included) we lack the advantages that a formal CS education can give. This additional theory can give us useful context to make tradeoffs in implementations and architectures.

Big O & Recursion
1. Introduction
2. Big O
3. Finding Big O
4. Recursion
5. Recursion example
6. Exercise 1 – Recursion
7. Exercise 1 – Solution

Sorting Algorithms
1. Bubble sort
2. Exercise 2 – Bubble sort
3. Exercise 2 – Solution
4. Insertion sort
5. Exercise 3 – Insertion sort
6. Exercise 3 – Solution
7. Merge sort
8. Exercise 4 – Merge sort
9. Exercise 4 – Solution
10. Median values
11. Quicksort
12. Exercise 5 – Quicksort
13. Exercise 5 – Solution

Data Structure Interfaces
1. Interfaces Data Structure
2. Set Data Structure
3. Map Data Structure
4. Stack Data Structure
5. Queue Data Structure

Implementing Data Structures
1. Array list
2. Exercise 6 – Array list
3. Exercise 6 – Solution
4. Linked list
5. Exercise 7 – Linked list
6. Exercise 7 – Solution, part 1
7. Exercise 7 – Solution, part 2
8. Binary search tree
9. Exercise 8 – Binary search tree
10. Exercise 8 – Solution
11. AVL tree
12. Single rotation
13. Double rotation
14. Exercise 9 – Solution, part 1
15. Exercise 9 – Solution, part 2
16. Hash table

Functional Programming 101
1. Functional programming concepts
2. Map Function
3. Reduce Function
4. Filter Function
Part 2
https://frontendmasters.com/courses/computer-science-2/
Learning computer science makes you a better developer, makes your apps better, and allows you to answer difficult engineering interview questions. In part 2 of the series, you’ll join Brian Holt – returning Frontend Masters instructor and developer at Microsoft – as he unpacks 4 semesters of computer science in 5 hours. You’ll dive deeper into computer science concepts such as traversing binary search trees, pathfinding, traversing graphs, generating a randomized maze, plus more ways to search and sort!

Introduction
1. Introduction

Bloom Filters
1. Bloom Filters Setup
2. Bloom Filters Diagramed
3. Bloom Filter Caveats
4. Hashing Functions Explained
5. Bloom Filters Exercise
6. Bloom Filter Solution

Tree Traversals
1. Tree Traversals Introduction
2. Depth-first Traversal
3. Depth-first Traversal Exercise
4. Depth-first Traversal Solution
5. Breadth-first Traversal
6. Breadth-first Traversal Exercise
7. Breadth-first Traversal Solution
8. Tree Queue Diagram

Pathfinding
1. Pathfinding & Demonstration
2. Pathfinding Exercise
3. Pathfinding Solution

Graphs
1. Graphs
2. Graphs Exercise
3. Graphs Solution

Generating a Maze
1. Generating a Maze
2. Generating a Maze Exercise
3. Generating a Maze Solution

Tries
1. Tries
2. Tries Exercise
3. Tries Solution

Searching for an Element in an Array
1. Searching for an Element in an Array
2. Searching for an Element in an Array Solution

Heap Sort
1. Heap Sort
2. Heap Sort Solution

Radix Sort
1. Radix Sort
2. Radix Sort Solution

Conclusion
1. Conclusion and Goodbye

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