Algorithmic Problem Solving: Preparing for a Coding Interview
INTERACTIVE COURSE

Algorithmic Problem Solving: Preparing for a Coding Interview

Beginner

112 Lessons

25h

Certificate of Completion

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Algorithmic Problem Solving: Preparing for a Coding Interview

This course includes:

69 Playgrounds
32 Challenges
11 Quizzes
203 Illustrations

Takeaway Skills

A complete working knowledge of essential algorithmic techniques to various computational problems

A mastery in writing efficient and reliable code

The ability to implement algorithmic techniques in a programming language of your choice

Hands-on experience in testing and debugging your code

Course Overview

This course provides a thorough exploration of essential algorithmic techniques fundamental in programming. It covers deep understanding of big-O notation, which is a crucial concept for evaluating the efficiency and performance of algorithms, in C++, Java, and Python In this course, you’ll delve into different algorithmic strategies i.e. greedy algorithms, divide-and-conquer, and dynamic programming. Next, you will become proficient in testing and debugging the code. The solutions will be rigorously exami...Show More

Course Content

1

Getting Started

Course Overview
2

Algorithms and Complexity

Introduction to Algorithms and ComplexityCorrect vs. Incorrect AlgorithmsTime Complexity of Algorithms
3

Runtime Algorithms

The Big-O Notation
Advantages and Disadvantages of the Big-O Notation
Five Common Rules for Analyzing the Runtime
Visualize Common Rules for Runtime Analysis
Frequently Arising Running TimesQuiz: Running Time of Algorithms
4

Algorithm Design Techniques

Introduction to Algorithm Design TechniquesAlgorithm Design: Exhaustive Search AlgorithmsAlgorithm Design: Branch-and-Bound AlgorithmsAlgorithm Design: Greedy AlgorithmsAlgorithm Design: Dynamic Programming AlgorithmsAlgorithm Design: Recursive AlgorithmsAlgorithm Design: Divide-and-Conquer AlgorithmsAlgorithm Design: Randomized AlgorithmsQuiz: Algorithm Design Techniques
5

Programming Challenges

Introduction to Programming ChallengesChallenge: Sum of Two DigitsSolution: Sum of Two DigitsChallenge: Maximum Pairwise ProductNaive Solution: Maximum Pairwise ProductFast Solution: Maximum Pairwise ProductEvaluating Solutions to Maximum Pairwise Product ProblemSolving a Programming Challenge in Four Easy StepsQuiz: Programming Challenges
6

Good Programming Practices

7 Lessons

7

Algorithmic Warm Up

18 Lessons

8

Greedy Algorithms

18 Lessons

9

Divide and Conquer Algorithm

22 Lessons

10

Dynamic Programming

18 Lessons

11

Conclusion

1 Lesson

COURSE AUTHORS
Alexander S. Kulikov and Pavel Pevzner

How You'll Learn

Hands-on Coding Environments

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Progress You Can Show

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