Algorithmic Problem Solving Preparing For A Coding Interview

Algorithmic Problem Solving: Preparing for a Coding Interview

Beginner

112 Lessons

25h

Certificate of Completion

AI-POWERED

Mock Interview

Mock Interview

Explanations

Explanations

This course includes

69 Playgrounds

32 Challenges

11 Quizzes

203 Illustrations

This course includes

69 Playgrounds

32 Challenges

11 Quizzes

203 Illustrations

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

Course Content

1

Getting Started

Course Overview

2

Algorithms and Complexity

Introduction to Algorithms and Complexity Correct vs. Incorrect Algorithms Time 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 Times Quiz: Running Time of Algorithms

4

Algorithm Design Techniques

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

5

Programming Challenges

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

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

How You'll Learn

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BEFORE STARTING THIS COURSE

AFTER FINISHING THIS COURSE