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Algorithmic Problem Solving: Preparing for a Coding Interview

Beginner

112 Lessons

25h

Certificate of Completion

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

69 Playgrounds

32 Challenges

11 Quizzes

Course Overview

What You'll Learn

Course Content

Recommendations

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

What You'll Learn

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

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

Course Content

Getting Started

1 Lessons

Course Overview

Algorithms and Complexity

3 Lessons

Introduction to Algorithms and Complexity

Correct vs. Incorrect Algorithms

Time Complexity of Algorithms

Runtime Algorithms

6 Lessons

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 Times

Quiz: Running Time of Algorithms

Algorithm Design Techniques

9 Lessons

Introduction to Algorithm Design Techniques

Algorithm Design: Exhaustive Search Algorithms

Algorithm Design: Branch-and-Bound Algorithms

Algorithm Design: Greedy Algorithms

Algorithm Design: Dynamic Programming Algorithms

Algorithm Design: Recursive Algorithms

Algorithm Design: Divide-and-Conquer Algorithms

Algorithm Design: Randomized Algorithms

Quiz: Algorithm Design Techniques

Programming Challenges

9 Lessons

Introduction to Programming Challenges

Challenge: Sum of Two Digits

Solution: Sum of Two Digits

Challenge: Maximum Pairwise Product

Naive Solution: Maximum Pairwise Product

Fast Solution: Maximum Pairwise Product

Evaluating Solutions to Maximum Pairwise Product Problem

Solving a Programming Challenge in Four Easy Steps

Quiz: Programming Challenges

Good Programming Practices

7 Lessons

Introduction to Good Programming Practices

Code Formatting and Naming Guidelines

Debugging and Code Optimization

C++-Specific

C++ Rules For Classes And Numbers

Python-Specific

Quiz: Good Programming Practices

Algorithmic Warm Up

18 Lessons

Introduction to Algorithmic Warm Up

Challenge: Fibonacci Number

Solution: Fibonacci Number

Challenge: Last Digit of the Fibonacci Number

Solution: Last Digit of Fibonacci Number

Challenge: Huge Fibonacci Number

Solution: Huge Fibonacci Number

Challenge: Last Digit of the Sum of Fibonacci Numbers

Solution: Last Digit of the Sum of Fibonacci Numbers

Challenge: Last Digit of the Partial Sum of Fibonacci Numbers

Solution: Last Digit of the Partial Sum of Fibonacci Numbers

Challenge: Last Digit of the Sum of Fibonacci Numbers’ Squares

Solution: Last Digit of the Sum of Fibonacci Numbers’ Squares

Challenge: Greatest Common Divisor

Solution: Greatest Common Divisor

Challenge: Least Common Multiple

Solution: Least Common Multiple

Quiz: Algorithmic Warm Up

Greedy Algorithms

18 Lessons

Introduction to Greedy Algorithms

Greedy Strategies

Prove the Correctness of Greedy Algorithms

Challenge: Money Change

Solution: Money Change

Challenge: Maximum Value of the Loot

Solution: Maximum Value of the Loot

Challenge: Car Fueling

Solution: Car Fueling

Challenge: Maximum Advertisement Revenue

Solution: Maximum Advertisement Revenue

Challenge: Collecting Signatures

Solution: Collecting Signatures

Challenge: Maximum Number of Prizes

Solution: Maximum Number of Prizes

Challenge: Maximum Salary

Solution: Maximum Salary

Quiz: Greedy Algorithms

Divide and Conquer Algorithm

22 Lessons

Introduction to Divide-and-Conquer Algorithms

Guessing a Number

Searching Sorted Data

Finding a White-Black Pair

Finding a Peak

Multiplying Integers

The Master Theorem

Challenge: Sorted Array Multiple Search

Solution: Sorted Array Multiple Search

Challenge: Multiple Search with Duplicates

Solution: Multiple Search with Duplicates

Challenge: Majority Element

Solution: Majority Element

Challenge: Improving Quicksort

Solution: Improving Quicksort

Challenge: Number of Inversions

Solution: Number of Inversions

Challenge: Organizing a Lottery

Solution: Organizing a Lottery

Challenge: Closest Points

Solution: Closest Points

Quiz: Divide-and-Conquer Algorithms

10.

Dynamic Programming

18 Lessons

Introduction to Dynamic Programming

Challenge: Money Change Again

Solution: Money Change Again

Challenge: Primitive Calculator

Solution: Primitive Calculator

Challenge: Edit Distance

Solution: Edit Distance

Challenge: Longest Common Subsequence of Two Sequences

Solution: Longest Common Subsequence of Two Sequences

Challenge: Longest Common Subsequence of Three Sequences

Solution: Longest Common Subsequence of Three Sequences

Challenge: Maximum Amount of Gold

Solution: Maximum Amount of Gold

Challenge: Splitting the Pirate Loot

Solution: Splitting the Pirate Loot

Challenge: Maximum Value of an Arithmetic Expression

Solution: Maximum Value of an Arithmetic Expression

Quiz: Dynamic Programming

11.

Conclusion

1 Lessons

That's a Wrap!

Course Author

Alexander S. Kulikov and

Pavel Pevzner

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