CS & Programming · Level 2

## 2.2 Introduction to Algorithms

Learn how to make a computer do what you want, elegantly and efficiently.

Pseudocode

Conditional Algorithms

Repetition

Manipulating Numbers

Arrays

Searching an Array

Binary Search

Sorting an Array

Insertion Sort

The Stable Matching Problem

Using Greediness

Deferred Acceptance Algorithm

Correctness

Termination

Variants

### Course description

An algorithm is a step-by-step process to achieve some outcome. When algorithms involve a large amount of input data, complex manipulation, or both, we need to construct clever algorithms that a computer can work through quickly. By the end of this course, you’ll have mastered the fundamental problems in algorithms.

### Topics covered

- Pseudocode
- Variables
- Conditionals
- Repetition
- While loops
- For loops
- Binary search
- Selection sort
- Insertion sort
- Stable matching
- Algorithmic complexity

### Prerequisites

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### 3.1 Algorithms and Data Structures

The fundamental toolkit for the aspiring computer scientist or programmer.

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