CSEC ASTU
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Computer Science and Engineering Club ASTU.
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|ETCPC

Training Camp

๐Ÿ“ข Attention all aspiring competitive programmers and ICPC enthusiasts! ๐Ÿ–ฅ๐Ÿ†

๐Ÿ“ข Register now for an exclusive training session on "Introduction to Competitive Programming and ICPC" conducted by the esteemed Amir Kheiru, a world finalist in competitive programming! ๐ŸŒ๐ŸŽ“

๐Ÿ—“ Date: July 1, 2023 7:30 PM (EAT)
๐ŸŽ™ Speaker: Amir Kheiru | an expert in competitive programming, a seasoned ICPC participant, and a world finalist.

๐Ÿ”— Registration Link ๐Ÿ‘ˆ

๐Ÿ”ฅ Don't miss out on this incredible opportunity to learn from one of the best in the field and enhance your problem-solving skills, master algorithmic thinking, and dive into the world of competitive programming! ๐Ÿ’ชโœจ

During this training, Mr. Amir Kheiru who has achieved remarkable success as a world finalist, will share invaluable insights, strategies, and techniques that can help you excel in competitive programming and ICPC competitions. ๐ŸŒŸ๐Ÿ…

Whether you're a beginner looking to explore the exciting realm of competitive programming or an experienced programmer aiming to sharpen your skills further, this session is tailor-made for you! ๐Ÿ’ป๐ŸŒŸ

Hurry and secure your spot by registering today! Click on the registration link below to reserve your place:

๐Ÿ”— Registration Link: https://bit.ly/etcpc2023_registration

Don't miss this golden opportunity to learn from a world finalist and elevate your programming prowess to new heights. We eagerly anticipate your presence at the training session!

๐Ÿ” For any inquiries or further information, please contact us on:

Telegram: @etcpc_support
Phone: +251942601154

#ETCPC
#CompetitiveProgramming #ICPC #WorldFinalist #ProgrammingSkills #ProblemSolving #AlgorithmicThinking #Amir_Kheiru #TrainingSession
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|ETCPC

๐Ÿ“ข Calling all coding enthusiasts! ๐Ÿ–ฅ๏ธ๐Ÿ’ป

๐Ÿ“ข Join us for an informative tutorial on Complete Search techniques! ๐Ÿงฉ๐Ÿ”Ž

๐Ÿ—“๏ธ Date: Aug 8, 2023
โฐ Time: 7:30 PM [1:30 Evening LT]
๐ŸŽ™๏ธ Speaker: Mr. Wendirad Demelash, an experienced programmer and problem-solving expert.
โœ‰๏ธ Meeting Link: https://meet.google.com/stj-oicr-oug

๐Ÿ”ฅ Don't miss this incredible opportunity to dive into the world of Complete Search and enhance your problem-solving skills! ๐Ÿ’ช๐Ÿ’ก

In this tutorial, we will explore various techniques for Complete Search, including iterative complete search, recursive complete search, and divide and conquer strategies. These powerful algorithms are fundamental for exhaustive problem-solving and can be applied across different domains. ๐ŸŒŸ๐Ÿ”

You will learn how to approach problems systematically, breaking them down into smaller subproblems and exploring all possible solutions. By the end of the tutorial, you'll have a solid understanding of Complete Search techniques and be equipped with valuable problem-solving tools. ๐Ÿš€๐Ÿง 

Whether you're a beginner looking to expand your coding knowledge or an experienced programmer aiming to sharpen your algorithmic thinking, this tutorial is perfect for you! Mr. Wendirad Demelash will present the concepts in a clear and engaging manner, ensuring that all attendees can grasp the material easily. ๐ŸŽ“๐Ÿ’ป

Get ready to enhance your problem-solving abilities and take your coding skills to new heights!

We eagerly anticipate your active participation in this enriching tutorial!

For any inquiries or further information, please contact us on Telegram @etcpc_support.

#ETCPC #CompleteSearch #ProblemSolving #CodingTutorial #AlgorithmicThinking #CodingEnthusiasts
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|ETCPC

๐Ÿ“ข Calling all graph enthusiasts! ๐Ÿ“Š๐ŸŒ

๐Ÿ“ข Join us for the thrilling continuation of our two-part tutorial on Graphs and Graph Algorithms - Part 2! ๐ŸŽ“

๐Ÿ—“๏ธ Date: Mon, 14th August 2023
โฐ Time: 7:30 PM [1:30 Evening LT]
๐ŸŽ™๏ธ Speaker: Mr. Abdi Adem, a seasoned programmer and graph algorithm expert.

๐Ÿ”ฅ Don't miss this incredible opportunity to deepen your understanding of graphs and explore essential graph algorithms like Shortest Path Algorithms and Minimum Spanning Trees! ๐ŸŒŸ๐Ÿ”

In Part 2 of this tutorial, we will unravel the fascinating world of shortest path algorithms. These algorithms are essential tools for finding the most efficient path between two vertices in a graph. We will cover:

1. Shortest Path Algorithms:
Shortest path algorithms are fundamental tools used to find the most efficient path between two vertices in a graph. They have numerous applications, ranging from navigation systems to network routing protocols. Here are two commonly used algorithms for finding the shortest path:

a) Dijkstra's Algorithm: Named after the Dutch computer scientist Edsger W. Dijkstra, this algorithm efficiently determines the shortest path in a graph with non-negative edge weights. By maintaining a priority queue, Dijkstra's algorithm explores vertices in increasing order of their distance from the source vertex.

b) Bellman-Ford Algorithm: This algorithm handles graphs with negative edge weights and detects negative cycles. It iteratively relaxes the edges of the graph until it finds the shortest path.

Next, we will dive into the concept of Minimum Spanning Trees (MSTs). An MST is a tree that spans all the vertices in a connected, weighted graph while minimizing the total sum of edge weights. We will explore:

2. Minimum Spanning Tree (MST) Algorithms:
Minimum spanning tree algorithms are used to find the most cost-effective way to connect all the vertices in a graph. The two main algorithms for finding MSTs are:

a) Kruskal's Algorithm: Named after the Czech mathematician Josef Kruskal, this algorithm builds an MST by iteratively adding the smallest-weighted edges that do not create cycles.

b) Prim's Algorithm: Named after the American mathematician Robert C. Prim, this algorithm grows an MST from an arbitrary starting vertex by greedily adding edges with the smallest weights.

We will dive into the intricacies of these algorithms, understand their time complexities, and discuss real-world applications.

Whether you're a novice seeking to expand your knowledge or an experienced enthusiast looking to refine your graph algorithm skills, this tutorial is perfect for you! Mr. Abdi Adem will present the concepts in a clear and engaging manner, making complex graph algorithms approachable for all attendees. ๐Ÿ’ช๐Ÿ’ก

Get ready to embark on a captivating journey as we explore the world of graphs and elevate your algorithmic thinking to new heights!

We eagerly anticipate your active participation in this enriching tutorial!

For any inquiries or further information, please contact us on Telegram @etcpc_support.

#ETCPC #GraphAlgorithms #GraphTheory #ShortestPathAlgorithms #MinimumSpanningTrees #KruskalsAlgorithm #PrimsAlgorithm #CodingTutorial #AlgorithmExpert #ProblemSolving #CodingEnthusiasts
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|ETCPC

๐Ÿ“ข Calling all coding enthusiasts! ๐Ÿ–ฅ๏ธ๐Ÿ’ป

๐Ÿ“ข Join us for an informative tutorial on Dynamic Programming! ๐Ÿš€๐Ÿ”ข

๐Ÿ—“๏ธ Date: Sun, 20 Aug, 2023
โฐ Time: 7:30 PM [1:30 Evening LT]
๐ŸŽ™๏ธ Speaker: Mr. Yohannes Melese, an experienced programmer and Dynamic Programming expert.

๐Ÿ”ฅ Don't miss this incredible opportunity to dive into the world of Dynamic Programming and enhance your problem-solving skills! ๐Ÿ’ช๐Ÿ’ก

In this tutorial, we will explore the power of Dynamic Programming and its applications in solving complex problems efficiently. The session will cover the following topics:

1. Fibonacci Numbers:
Discover the beauty of Fibonacci sequences and learn how Dynamic Programming can be used to compute Fibonacci numbers efficiently. Unravel the secrets behind this famous sequence and witness the magic of optimized calculations. ๐ŸŒธ๐Ÿ”ข

1. Longest Common Subsequence (LCS):
Delve into the realm of sequence matching and unravel the mysteries of finding the Longest Common Subsequence. Explore how Dynamic Programming can be applied to efficiently solve this problem, unlocking the potential for various applications such as DNA sequence analysis and text comparison. ๐Ÿงฌโœจ

1. Knapsack Problem:
Embark on a journey of optimization as we tackle the Knapsack Problem. Learn how Dynamic Programming techniques can help us maximize value while considering limited capacity. Discover strategies to efficiently solve this classic problem, making informed decisions on item selection and resource allocation. ๐ŸŽ’๐Ÿ’ก

1. Matrix Chain Multiplication:
Enter the realm of matrices and explore the fascinating Matrix Chain Multiplication problem. Learn how Dynamic Programming can be employed to determine the optimal order of multiplication, minimizing computational complexity and maximizing efficiency. ๐Ÿงฎโš™๏ธ

1. Dynamic Programming Optimization:
Dive into the world of optimization techniques within Dynamic Programming. Explore strategies like memoization, tabulation, and bottom-up approaches to optimize your solutions further. Unleash the true potential of Dynamic Programming by mastering these optimization techniques. ๐Ÿš€๐Ÿ”

Whether you're a beginner looking to expand your coding knowledge or an experienced programmer aiming to sharpen your algorithmic thinking, this tutorial is perfect for you! Mr. Yohannes Melese will present the concepts in a clear and engaging manner, ensuring that all attendees can grasp the material easily. ๐ŸŽ“๐Ÿ’ป

Get ready to unlock the power of Dynamic Programming and witness how it revolutionizes problem-solving.

We eagerly anticipate your active participation in this enriching tutorial!

For any inquiries or further information, please contact us on Telegram @etcpc_support.

#ETCPC #DynamicProgramming #ProblemSolving #CodingTutorial #AlgorithmicThinking #CodingEnthusiasts
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|ETCPC

๐Ÿ“ฃ Attention all coding enthusiasts! Join us for an exciting tutorial on Greedy Algorithms! ๐ŸŒŸ๐Ÿ’ป

๐Ÿ—“๏ธ Date: Sunday, 27 Aug 2023
โฐ Time: 7:30 PM [1:30 Evening LT]
๐ŸŽ™๏ธ Speaker: Mr. Yohannes Melese, an experienced programmer and expert in Greedy Algorithms.

๐Ÿ”ฅ Don't miss this incredible opportunity to explore the world of Greedy Algorithms and enhance your problem-solving skills! ๐Ÿ’ช๐Ÿ’ก

In this tutorial, we will delve into the power of Greedy Algorithms and their applications in solving optimization problems. The session will cover the following topics:

1. Activity Selection Problem:
Discover the elegance of the Activity Selection Problem and how Greedy Algorithms can efficiently schedule activities for maximum productivity. Learn how to make optimal choices at each step, resulting in an overall optimal solution. ๐Ÿ“…โฑ๏ธ

1. Fractional Knapsack Problem:
Embark on a journey of optimization as we explore the Fractional Knapsack Problem. Discover how Greedy Algorithms can help us maximize value while considering item weights and limited capacity. Learn the strategy of selecting items with the highest value-to-weight ratio to achieve an optimal solution. ๐ŸŽ’๐Ÿ’ฐ

1. Huffman Encoding:
Enter the realm of data compression as we dive into Huffman Encoding. Explore how Greedy Algorithms can be used to construct efficient prefix codes, minimizing the total encoded length. Uncover the secrets of optimal encoding and decoding, resulting in space-efficient data representation. ๐Ÿ“š๐Ÿ’พ

Whether you're a beginner or an experienced programmer, this tutorial is designed to enhance your problem-solving skills. Yohannes Melese will present the concepts in a clear and engaging manner, making it easy for all attendees to grasp the material. ๐ŸŽ“๐Ÿ’ก

Get ready to unlock the power of Greedy Algorithms and witness how they revolutionize optimization problem-solving.

We eagerly anticipate your active participation in this enriching tutorial!

For any inquiries or further information, please contact us on Telegram @etcpc_support.

#ETCPC #GreedyAlgorithms #ProblemSolving #CodingTutorial #Optimization #CodingEnthusiasts
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