Algorithms and Data Structures
This course provides an introduction to the study of algorithms and data structures, fundamental tools of computer science. We will explore the principles of algorithms and data structures through the lens of object-oriented programming, with the course structured around data types and methods. The goal is to understand how to structure and package data in ways that are efficient and effective for problem solving.
Duration
1 month (6 hrs/w)
Level
Beginner/Intermediate
Price
60000AMD/month
Requirements
No requirements
Format
Offline/Online/Hybrid
Introduction to Algorithms and Fundamental Data Structures
- -What is Algorithm?
- -Concepts and Characteristics of Algorithms
- -Algorithmic Problem Solving
- -Fundamental Data Structures: Arrays, Stacks, Queues
- -Analysis of Time and Space Complexity
- -Big O Notation
- -Introduction to Linear and Binary Search
Advanced Data Structures and Searching Algorithms
- -Trees: Binary Trees, AVL Trees, B-Trees
- -Understanding and Implementing Hash Tables
- -Heaps: Concepts and Operations
- -Advanced Searching Algorithms: Interpolation and Exponential Search
- -Hashing: Concept, Hash Functions, Collision Handling Techniques
Sorting Algorithms and Graphs
- -Understanding Sorting Algorithms: Bubble, Selection, Insertion, Merge, Quick, Heap, Radix Sort
- -Sorting Algorithms: Performance Analysis
- -Introduction to Graphs: Types, Properties, Representation
- -Graph Traversal: Depth-First Search (DFS), Breadth-First Search (BFS)
- -Introduction to Dijkstra's Algorithm for shortest path
Advanced Topics in Algorithms and Data Structures
- -Greedy Algorithms: Concepts and Examples
- -Divide and Conquer Strategy: Examples
- -Dynamic Programming: Concepts and Examples
Free Consultation Sessions Available
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