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Algorithms for Beginners: Learn Pseudocode, Time Complexity
New
Rating: 5.0 out of 5(1 rating)
20 students

Algorithms for Beginners: Learn Pseudocode, Time Complexity

Master the foundations of computer science with algorithms, pseudocode, complexity analysis, and sorting.
New
Created byPrabhu Chakkaravarthy A
Last updated 7/2026
English

What you'll learn

  • Understand the fundamental concepts of algorithms and develop a strong foundation in algorithmic thinking.
  • Write clear, structured, and language-independent pseudocode using industry-standard conventions.
  • Analyze the efficiency of algorithms using line-count analysis and basic algorithm performance metrics.
  • Compare different algorithmic approaches and choose appropriate solutions based on efficiency and scalability.

Course content

5 sections • 5 lectures • 1h 5m total length

  • The Logic of Problem Solving13:01
  • Assignment 1

Requirements

  • No prior programming experience is required. This course is designed for complete beginners.
  • Basic computer skills, such as using a web browser and managing files, are helpful.

Description

This course contains the use of artificial intelligence.

Programming is not about memorizing syntax—it's about learning how to think logically and solve problems efficiently.

This course introduces the fundamental concepts of algorithms in a simple, visual, and intuitive way. Whether you are a complete beginner or a computer science student looking to strengthen your foundations, this course will help you develop algorithmic thinking before writing a single line of code.

You'll begin by understanding what algorithms are and why they are essential in computer science. Next, you'll learn how programmers design solutions using structured pseudocode before translating ideas into programming languages. The course then introduces algorithm analysis and time complexity, helping you compare the efficiency of different solutions. Finally, you'll master one of the most important introductory sorting algorithms—Insertion Sort—through step-by-step visual explanations and real-world analogies.

Every concept is explained using practical examples, animations, and intuitive illustrations rather than complicated mathematics, making learning enjoyable and accessible. Each lesson builds progressively on the previous one, enabling you to strengthen your logical reasoning skills and gain confidence in solving computational problems through structured, systematic thinking.

By the end of this course, you'll have the confidence to read, design, analyze, and explain algorithms—an essential skill for programming, software development, coding interviews, and advanced computer science courses. Whether your goal is academic success, interview preparation, or becoming a better programmer, this course provides the strong conceptual foundation needed to confidently tackle more advanced programming and data structures topics in the future.

Who this course is for:

  • Computer Science, Information Technology, BCA, MCA, and Engineering students looking to build a strong foundation in algorithms and problem-solving.
  • Educators and trainers seeking clear, visual explanations and real-world analogies to teach algorithm concepts effectively.

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