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align=\"center\"\u003e\n\n\u003cimg src=\"https://img.shields.io/badge/Chapters-26-6366F1?style=for-the-badge\" /\u003e\n\u003cimg src=\"https://img.shields.io/badge/Terms-350%2B-22D3EE?style=for-the-badge\" /\u003e\n\u003cimg src=\"https://img.shields.io/badge/Languages-TR%20%7C%20EN-34D399?style=for-the-badge\" /\u003e\n\u003cimg src=\"https://img.shields.io/badge/License-MIT-F472B6?style=for-the-badge\" /\u003e\n\n# 📚 CS Complete Terminology Guide\n\n**350+ essential terms every Computer Science student must know — ordered by learning sequence.**\n\n[🇹🇷 Türkçe](#-türkçe) · [🇬🇧 English](#-english)\n\n\u003c/div\u003e\n\n---\n\n## 🇹🇷 Türkçe\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e📖 Rehber Hakkında\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\nBu rehber, bir CS öğrencisinin müfredatı boyunca karşılaşacağı **350'den fazla terimi**, **26 bölümde** ve **öğrenme sırasına göre** düzenlenmiş şekilde sunar.\n\nHer terim şunları içerir:\n- **Net Türkçe açıklama** — jargonsuz, anlaşılır dil\n- **Pratik bağlam** — nerede ve neden kullanılır\n- **İlgili kavramlar** — terimler arası bağlantılar\n\n\u003e 💡 **Sıra önemli!** Ayrık Matematikten başla, algoritmalara geç, sonra OS ve Ağlar. Her kavram bir öncekinin üzerine inşa edilir.\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e📋 İçindekiler (26 Bölüm)\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\n| # | Bölüm | Terim Sayısı |\n|---|-------|-------------|\n| 1 | 🔢 Ayrık Matematik | 13 |\n| 2 | ⌨️ Programlama Temelleri \u0026 Dil Kavramları | 14 |\n| 3 | 🔁 Algoritmalar \u0026 Veri Yapıları | 18 |\n| 4 | 📐 Matematik Temelleri (CS \u0026 AI için) | 13 |\n| 5 | 🧮 Teorik CS \u0026 Hesaplanabilirlik | 12 |\n| 6 | 🖥️ Donanım \u0026 Bilgisayar Mimarisi | 12 |\n| 7 | 💻 İşletim Sistemleri | 14 |\n| 8 | 🌐 Bilgisayar Ağları | 14 |\n| 9 | 🗄️ Veritabanları | 14 |\n| 10 | 🔒 Güvenlik (Cybersecurity) | 13 |\n| 11 | 🔌 API \u0026 Web Geliştirme | 14 |\n| 12 | ☁️ Bulut Bilişim \u0026 DevOps | 13 |\n| 13 | 🤖 Veri Bilimi \u0026 Makine Öğrenimi | 14 |\n| 14 | 🧠 Derin Öğrenme \u0026 Büyük Dil Modelleri | 15 |\n| 15 | 📊 Veri Mühendisliği \u0026 Büyük Veri | 12 |\n| 16 | 👁️ Görüntü İşleme \u0026 Sinyal | 12 |\n| 17 | ⚙️ Derleyici \u0026 Dil Teorisi | 12 |\n| 18 | ⚡ Paralel \u0026 Dağıtık Sistemler | 12 |\n| 19 | 🏗️ Yazılım Mühendisliği \u0026 Sistem Tasarımı | 12 |\n| 20 | 🐧 Linux \u0026 Bash / Terminal | 12 |\n| 21 | 🔤 Regex \u0026 Text Processing | 12 |\n| 22 | 🧪 Testing \u0026 Debug Teknikleri | 13 |\n| 23 | 🚀 Proje Yönetimi \u0026 Kariyer | 12 |\n| 24 | ⚖️ Etik \u0026 Hukuk (AI Etiği, GDPR) | 12 |\n| 25 | 📡 Gömülü Sistemler \u0026 IoT | 13 |\n| 26 | 🔬 Sayısal Yöntemler \u0026 Bilimsel Hesaplama | 12 |\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e🗺️ Öğrenme Yol Haritası\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\n```\nTemel Bilimler\n├── 1. Ayrık Matematik     → Mantık, kanıt, kombinatorik, graflar\n├── 4. Matematik (CS/AI)   → Lineer cebir, olasılık, kalkülüs\n└── 5. Teorik CS           → Otomat, Turing, P vs NP\n\nSistem Temelleri\n├── 6. Donanım \u0026 Mimari    → CPU, cache, GPU, pipeline\n├── 7. İşletim Sistemleri  → Process, bellek, dosya sistemi\n└── 8. Bilgisayar Ağları   → OSI, TCP/IP, DNS, HTTP, TLS\n\nYazılım Geliştirme\n├── 2. Programlama         → OOP, FP, bellek modeli, tipler\n├── 3. Algoritmalar        → Big-O, veri yapıları, graf algo.\n└── 17. Derleyici          → Lexer, parser, AST, kod üretimi\n\nVeri \u0026 AI\n├── 9. Veritabanları       → SQL, NoSQL, ACID, CAP\n├── 13. Makine Öğrenimi    → EDA, modeller, değerlendirme\n├── 14. Derin Öğrenme      → CNN, Transformer, LLM, RAG\n└── 15. Veri Mühendisliği  → Spark, Kafka, data warehouse\n\nÜretim \u0026 Kariyer\n├── 10. Güvenlik           → OWASP, kriptografi, zero trust\n├── 11. API \u0026 Web          → REST, JWT, OAuth, GraphQL\n├── 12. Bulut \u0026 DevOps     → Docker, K8s, CI/CD, observability\n├── 20. Linux \u0026 Bash       → Terminal, scripting, sistem yönetimi\n├── 22. Testing \u0026 Debug    → Unit test, TDD, profiling\n└── 23. Kariyer            → GitHub, CV, görüşme, portfolyo\n```\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e📥 İndirme\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\n| Dosya | Açıklama | Boyut |\n|-------|----------|-------|\n| [📄 TR — CS_Kapsamli_Terim_Rehberi_TR.pdf](./CS_Kapsamli_Terim_Rehberi_TR.pdf) | Türkçe rehber, öğrenme sırasına göre | ~4 MB |\n| [📄 EN — CS_Complete_Terminology_Guide_EN.pdf](./CS_Complete_Terminology_Guide_EN.pdf) | İngilizce rehber, öğrenme sırasına göre | ~4 MB |\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e🤝 Katkı Sağlama\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\nEksik gördüğün bir terim veya bölüm varsa:\n\n1. **Issue aç** — hangi terimin eksik olduğunu belirt\n2. **PR gönder** — terimi ve açıklamasını ekleyerek\n3. **Tartış** — hangi konular eklenmeli?\n\nHer katkı, bu rehberi daha iyi hale getirir. 🙌\n\n\u003c/details\u003e\n\n---\n\n## 🇬🇧 English\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e📖 About This Guide\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\nThis guide presents **350+ essential terms** every CS student will encounter throughout their curriculum, organized into **26 chapters** and arranged **in learning sequence**.\n\nEach term includes:\n- **Clear explanation** — jargon-free, understandable language\n- **Practical context** — where and why it's used\n- **Related concepts** — connections between terms\n\n\u003e 💡 **Order matters!** Start with Discrete Math, move to Algorithms, then OS and Networks. Every concept builds on the previous one.\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e📋 Table of Contents (26 Chapters)\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\n| # | Chapter | Terms |\n|---|---------|-------|\n| 1 | 🔢 Discrete Mathematics | 13 |\n| 2 | ⌨️ Programming Fundamentals \u0026 Language Concepts | 14 |\n| 3 | 🔁 Algorithms \u0026 Data Structures | 18 |\n| 4 | 📐 Mathematics for CS \u0026 AI | 13 |\n| 5 | 🧮 Theoretical CS \u0026 Computability | 12 |\n| 6 | 🖥️ Hardware \u0026 Computer Architecture | 12 |\n| 7 | 💻 Operating Systems | 14 |\n| 8 | 🌐 Computer Networks | 14 |\n| 9 | 🗄️ Databases | 14 |\n| 10 | 🔒 Cybersecurity | 13 |\n| 11 | 🔌 API \u0026 Web Development | 14 |\n| 12 | ☁️ Cloud Computing \u0026 DevOps | 13 |\n| 13 | 🤖 Data Science \u0026 Machine Learning | 14 |\n| 14 | 🧠 Deep Learning \u0026 Large Language Models | 15 |\n| 15 | 📊 Data Engineering \u0026 Big Data | 12 |\n| 16 | 👁️ Computer Vision \u0026 Signal Processing | 12 |\n| 17 | ⚙️ Compilers \u0026 Language Theory | 12 |\n| 18 | ⚡ Parallel \u0026 Distributed Systems | 12 |\n| 19 | 🏗️ Software Engineering \u0026 System Design | 12 |\n| 20 | 🐧 Linux \u0026 Bash / Terminal | 12 |\n| 21 | 🔤 Regex \u0026 Text Processing | 12 |\n| 22 | 🧪 Testing \u0026 Debugging Techniques | 13 |\n| 23 | 🚀 Project Management \u0026 Career | 12 |\n| 24 | ⚖️ Ethics \u0026 Law (AI Ethics, GDPR) | 12 |\n| 25 | 📡 Embedded Systems \u0026 IoT | 13 |\n| 26 | 🔬 Numerical Methods \u0026 Scientific Computing | 12 |\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e🗺️ Learning Roadmap\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\n```\nFoundations\n├── 1. Discrete Math       → Logic, proofs, combinatorics, graphs\n├── 4. Math (CS/AI)        → Linear algebra, probability, calculus\n└── 5. Theoretical CS      → Automata, Turing machines, P vs NP\n\nSystems\n├── 6. Hardware \u0026 Arch     → CPU, cache, GPU, pipeline\n├── 7. Operating Systems   → Processes, memory, file systems\n└── 8. Computer Networks   → OSI, TCP/IP, DNS, HTTP, TLS\n\nSoftware Development\n├── 2. Programming         → OOP, FP, memory model, type systems\n├── 3. Algorithms          → Big-O, data structures, graph algos\n└── 17. Compilers          → Lexer, parser, AST, code generation\n\nData \u0026 AI\n├── 9. Databases           → SQL, NoSQL, ACID, CAP theorem\n├── 13. Machine Learning   → EDA, models, evaluation metrics\n├── 14. Deep Learning      → CNN, Transformer, LLM, RAG\n└── 15. Data Engineering   → Spark, Kafka, data warehouse\n\nProduction \u0026 Career\n├── 10. Security           → OWASP, cryptography, zero trust\n├── 11. API \u0026 Web          → REST, JWT, OAuth, GraphQL\n├── 12. Cloud \u0026 DevOps     → Docker, K8s, CI/CD, observability\n├── 20. Linux \u0026 Bash       → Terminal, scripting, sysadmin\n├── 22. Testing \u0026 Debug    → Unit tests, TDD, profiling\n└── 23. Career             → GitHub, CV, interviews, portfolio\n```\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e📥 Downloads\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\n| File | Description | Size |\n|------|-------------|------|\n| [📄 TR — CS_Kapsamli_Terim_Rehberi_TR.pdf](./CS_Kapsamli_Terim_Rehberi_TR.pdf) | Turkish guide, ordered by learning sequence | ~4 MB |\n| [📄 EN — CS_Complete_Terminology_Guide_EN.pdf](./CS_Complete_Terminology_Guide_EN.pdf) | English guide, ordered by learning sequence | ~4 MB |\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003e🤝 Contributing\u003c/b\u003e\u003c/summary\u003e\n\n\u003cbr\u003e\n\nIf you spot a missing term or chapter:\n\n1. **Open an issue** — describe which term is missing and why it matters\n2. **Submit a PR** — add the term with a clear, concise explanation\n3. **Join the discussion** — what topics should be added next?\n\nEvery contribution makes this guide better for everyone. 🙌\n\n\u003c/details\u003e\n\n---\n\n\u003cdiv align=\"center\"\u003e\n\n**Made with ❤️ for CS students everywhere**\n\n\u003csub\u003e26 chapters · 350+ terms · Turkish \u0026 English · Ordered by learning sequence\u003c/sub\u003e\n\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falicankaya192%2Fcs_complete_terminology_guide","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falicankaya192%2Fcs_complete_terminology_guide","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falicankaya192%2Fcs_complete_terminology_guide/lists"}