# Syllabus: Leetcode Beginners

Solve problems with code Sharpen your kid’s coding skills and tackle algorithmic challenges with our LeetCode course, designed to prepare middle school and high school students aged 12-16 for coding competitions and problem-solving challenges.

• Lessons: 30 classes
• Duration: 12-16 weeks
• Recommended Age: 12-16

Prerequisites:

Completion of Strive General Syllabus

Course Overview: Our LeetCode course is tailored to help students build strong coding foundations, grasp simple algorithms, and understand essential data structures using Python. Whether you're looking to participate in coding competitions or simply want to deepen your programming skills and logical thinking, this course is the ideal choice.

Key Highlights:

• Practice solving a wide range of coding challenges from LeetCode.
• Dive into Python programming to learn and implement data structures and algorithms.
• Get expert guidance on optimizing your code and improving your problem-solving skills.
• Tackle real problems given in tech interviews

Join us and become a coding champion, ready to tackle various coding challenges and competitions with confidence!

Learning Map

1. Level 1: Basics of Programming and Simple Data Structure
1. Refresh basic programming concepts (variables, loops, conditionals).
2. Learn the Python programming language (if not already familiar).
3. Understand the structure of LeetCode problems (input, output, constraints).
4. Practice solving easy problems that involve arrays and strings.
5. Develop a strategy for reading and understanding problem statements.
2. Introduction to Simple Data Structures
1. Study fundamental data structures: arrays, stacks, and queues.
2. Learn how to implement these data structures in code.
3. Solve easy problems related to these data structures to reinforce your understanding.
4. Gain familiarity with data structure-specific operations (e.g., push, pop, enqueue, dequeue).
3. Exploring Linked Lists and Slightly Harder Problems
1. Introduce linked lists and their basic operations (insertion, deletion).
2. Practice solving easy and some medium-level problems involving linked lists.
3. Understand the concept of pointer manipulation in linked lists.
4. Explore recursion as a problem-solving technique for linked list problems.
5. Develop strategies for tackling problems that involve more complex data structures.
4. Search Algorithms and Problem-Solving Techniques
1. Dive into searching algorithms like linear search and binary search.
2. Master the concepts of searching and practice applying them to problems.
3. Learn problem-solving techniques such as brute force, greedy algorithms, and dynamic programming.
4. Solve problems that require a combination of data structures and algorithms.
5. Continuously improve your problem-solving skills by analyzing different approaches and optimizing your solutions.