Algorithms

Computer Science

Course Overview

This course covers essential algorithmic problem-solving techniques, including sorting, searching, recursion, dynamic programming, and graph algorithms. You'll learn how to analyze algorithm efficiency and complexity, implement algorithms in multiple programming languages, and apply them to solve real-world problems. This course is ideal for technical interview preparation and improving your software development skills.

What You'll Learn

Comprehensive coverage of algorithm design paradigms
Analysis of algorithm efficiency and complexity
Implementation in multiple programming languages
Problem-solving strategies for common algorithm types
Optimization techniques for performance
Technical interview preparation

Course Curriculum

Algorithm Analysis and Big O Notation

Understanding time and space complexity

Sorting Algorithms

Bubble sort, insertion sort, merge sort, and quicksort

Searching Algorithms

Linear search and binary search

Recursion and Backtracking

Solving problems recursively

Divide and Conquer

Breaking down problems into smaller subproblems

Dynamic Programming

Memoization and tabulation techniques

Greedy Algorithms

Making locally optimal choices

Graph Algorithms

Dijkstra's algorithm and breadth-first search

String Algorithms

Pattern matching and string manipulation

Advanced Topics and Interview Preparation

Practice problems and interview strategies

Course Details

Duration

10 weeks

Skill Level

Intermediate to Advanced

Prerequisites

Basic programming and data structures knowledge

Enroll Now

Need Help?

Have questions about this course? Contact our academic advisors for personalized guidance.