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The IEEE Computer Society Chapter is a student-led technical chapter operating under the IEEE Zagazig Student Branch. As part of the world's leading organization for computer science and engineering, we provide a hands-on platform for students passionate about technology. From web development and mobile apps to artificial intelligence, machine learning, and cybersecurity, our chapter empowers members to explore and apply emerging technologies. Through workshops, hackathons, open-source projects, and coding competitions, we bridge the gap between classroom learning and practical experience.
We aim to create an active and friendly space where students can learn modern tech skills, work on real projects, and connect with others who share the same passion. We organize practical workshops and team activities to help students grow, be creative, and get ready for future jobs in the tech world.
To be a leading student driven hub for technological exploration, creativity, and collaboration where innovation thrives and technical skills are transformed into real world impact.
Chapter News
11 Feb, 2025 - Ahmed Elsherbiny
Competitions
Knowva attained the glory in Hackathon Banha 2025
Knowva proudly secured second place in the Language Learning Platforms track at Hackathon Banha 2025. After four intense days of dedication, collaboration, and tireless effort, our team successfully developed and presented a compelling concept that showcased innovative ways to demonstrate the role of artificial intelligence in language education. We explored how AI can be effectively integrated into learning processes to enhance engagement, personalization, and accessibility.
Tracks
Frontend development focuses on building the user-facing part of websites and applications, ensuring they are visually appealing, responsive, and intuitive. This track provides a solid foundation in web development and advances to building fully functional applications. It includes comprehensive training in the Tailwind CSS library for efficient and modern UI design and focuses on Next.js, built on React.js, to develop scalable single-page applications (SPAs) with an emphasis on performance, accessibility, and best practices.
Welcome to the Plumbers Alley — a place where you can learn something new or take your existing skills to the next level. Here, you'll work on exciting projects that bridge real-world needs in imaginative scenarios, helping you perform at your best. See you in the next adventure, passionate plumber!
Welcome to the world of Mobile Development — where creativity meets performance. This journey is designed to equip you with the essential skills needed to build polished, user-friendly mobile applications that perform seamlessly across devices. Whether you're crafting smooth interfaces or integrating complex APIs, this track will take your development career to the next level.
This committee helps members explore the field of data analysis and understand how data can be turned into useful information. You'll learn how to collect, clean, and study data to find patterns and make smart decisions. Through hands-on projects, you'll use tools like Excel or Python to work with real data. The team also shares knowledge through research, discussions, and regular practice sessions. It's a great way to build strong data analysis skills and solve real-world problems using data.
The Advanced AI Track offers a comprehensive journey designed to equip participants with the essential knowledge and practical skills required to excel in Artificial Intelligence. Starting with foundational data preprocessing techniques and essential mathematical concepts, learners progressively delve into supervised and unsupervised machine learning methods, mastering algorithms and models widely utilized in the industry. Participants will then explore advanced topics in deep learning, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN). The track further provides specialized training in cutting-edge Computer Vision applications, from image classification to facial recognition, and Natural Language Processing (NLP), covering tasks such as text classification, sentiment analysis, and chatbot creation. Each stage includes dedicated hands-on projects, enabling learners to consolidate their knowledge and build practical, real-world expertise.
The Cyber Security Committee focuses on building awareness, skills, and hands-on knowledge in the field of cyber security. We aim to educate students through practical training and real-world applications that go beyond traditional classroom learning.
Dive into the exciting world of Game Development and bring your creative ideas to life. This track covers the fundamentals of game engines, interactive mechanics, 2D/3D graphics, and scripting. Participants will learn to build games using tools like Unity or Unreal Engine, exploring game physics, animation, UI, and publishing strategies.