https://github.com/alicankaya192/cs_complete_terminology_guide

350+ essential CS terms across 26 chapters — ordered by learning sequence. Covers Algorithms, OS, Networks, Databases, Security, ML/AI, DevOps, Linux, Testing, Career & more. Available in 🇹🇷 Turkish and 🇬🇧 English.
https://github.com/alicankaya192/cs_complete_terminology_guide

algorithms artificial-intelligence bash cheatsheet cloud-computing computer-science cs-fundamentals cybersecurity data-structures deep-learning devops docker kubernetes linux llm networking open-source python software-engineering study-guide

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350+ essential CS terms across 26 chapters — ordered by learning sequence. Covers Algorithms, OS, Networks, Databases, Security, ML/AI, DevOps, Linux, Testing, Career & more. Available in 🇹🇷 Turkish and 🇬🇧 English.

• Host: GitHub
• URL: https://github.com/alicankaya192/cs_complete_terminology_guide
• Owner: AlicanKaya192
• Created: 2026-06-17T07:13:10.000Z (5 days ago)
• Default Branch: main
• Last Pushed: 2026-06-17T07:28:48.000Z (5 days ago)
• Last Synced: 2026-06-17T09:20:40.713Z (5 days ago)
• Topics: algorithms, artificial-intelligence, bash, cheatsheet, cloud-computing, computer-science, cs-fundamentals, cybersecurity, data-structures, deep-learning, devops, docker, kubernetes, linux, llm, networking, open-source, python, software-engineering, study-guide
• Homepage: https://alican-kaya.com
• Size: 238 KB
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  • Readme: README.md

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README

          










# 📚 CS Complete Terminology Guide

**350+ essential terms every Computer Science student must know — ordered by learning sequence.**

[🇹🇷 Türkçe](#-türkçe) · [🇬🇧 English](#-english)



---

## 🇹🇷 Türkçe

📖 Rehber Hakkında




Bu rehber, bir CS öğrencisinin müfredatı boyunca karşılaşacağı **350'den fazla terimi**, **26 bölümde** ve **öğrenme sırasına göre** düzenlenmiş şekilde sunar.

Her terim şunları içerir:

- **Net Türkçe açıklama** — jargonsuz, anlaşılır dil

- **Pratik bağlam** — nerede ve neden kullanılır

- **İlgili kavramlar** — terimler arası bağlantılar

> 💡 **Sıra önemli!** Ayrık Matematikten başla, algoritmalara geç, sonra OS ve Ağlar. Her kavram bir öncekinin üzerine inşa edilir.

📋 İçindekiler (26 Bölüm)




| # | Bölüm | Terim Sayısı |

|---|-------|-------------|

| 1 | 🔢 Ayrık Matematik | 13 |

| 2 | ⌨️ Programlama Temelleri & Dil Kavramları | 14 |

| 3 | 🔁 Algoritmalar & Veri Yapıları | 18 |

| 4 | 📐 Matematik Temelleri (CS & AI için) | 13 |

| 5 | 🧮 Teorik CS & Hesaplanabilirlik | 12 |

| 6 | 🖥️ Donanım & Bilgisayar Mimarisi | 12 |

| 7 | 💻 İşletim Sistemleri | 14 |

| 8 | 🌐 Bilgisayar Ağları | 14 |

| 9 | 🗄️ Veritabanları | 14 |

| 10 | 🔒 Güvenlik (Cybersecurity) | 13 |

| 11 | 🔌 API & Web Geliştirme | 14 |

| 12 | ☁️ Bulut Bilişim & DevOps | 13 |

| 13 | 🤖 Veri Bilimi & Makine Öğrenimi | 14 |

| 14 | 🧠 Derin Öğrenme & Büyük Dil Modelleri | 15 |

| 15 | 📊 Veri Mühendisliği & Büyük Veri | 12 |

| 16 | 👁️ Görüntü İşleme & Sinyal | 12 |

| 17 | ⚙️ Derleyici & Dil Teorisi | 12 |

| 18 | ⚡ Paralel & Dağıtık Sistemler | 12 |

| 19 | 🏗️ Yazılım Mühendisliği & Sistem Tasarımı | 12 |

| 20 | 🐧 Linux & Bash / Terminal | 12 |

| 21 | 🔤 Regex & Text Processing | 12 |

| 22 | 🧪 Testing & Debug Teknikleri | 13 |

| 23 | 🚀 Proje Yönetimi & Kariyer | 12 |

| 24 | ⚖️ Etik & Hukuk (AI Etiği, GDPR) | 12 |

| 25 | 📡 Gömülü Sistemler & IoT | 13 |

| 26 | 🔬 Sayısal Yöntemler & Bilimsel Hesaplama | 12 |

🗺️ Öğrenme Yol Haritası




```

Temel Bilimler

├── 1. Ayrık Matematik     → Mantık, kanıt, kombinatorik, graflar

├── 4. Matematik (CS/AI)   → Lineer cebir, olasılık, kalkülüs

└── 5. Teorik CS           → Otomat, Turing, P vs NP

Sistem Temelleri

├── 6. Donanım & Mimari    → CPU, cache, GPU, pipeline

├── 7. İşletim Sistemleri  → Process, bellek, dosya sistemi

└── 8. Bilgisayar Ağları   → OSI, TCP/IP, DNS, HTTP, TLS

Yazılım Geliştirme

├── 2. Programlama         → OOP, FP, bellek modeli, tipler

├── 3. Algoritmalar        → Big-O, veri yapıları, graf algo.

└── 17. Derleyici          → Lexer, parser, AST, kod üretimi

Veri & AI

├── 9. Veritabanları       → SQL, NoSQL, ACID, CAP

├── 13. Makine Öğrenimi    → EDA, modeller, değerlendirme

├── 14. Derin Öğrenme      → CNN, Transformer, LLM, RAG

└── 15. Veri Mühendisliği  → Spark, Kafka, data warehouse

Üretim & Kariyer

├── 10. Güvenlik           → OWASP, kriptografi, zero trust

├── 11. API & Web          → REST, JWT, OAuth, GraphQL

├── 12. Bulut & DevOps     → Docker, K8s, CI/CD, observability

├── 20. Linux & Bash       → Terminal, scripting, sistem yönetimi

├── 22. Testing & Debug    → Unit test, TDD, profiling

└── 23. Kariyer            → GitHub, CV, görüşme, portfolyo

```

📥 İndirme




| Dosya | Açıklama | Boyut |

|-------|----------|-------|

| [📄 TR — CS_Kapsamli_Terim_Rehberi_TR.pdf](./CS_Kapsamli_Terim_Rehberi_TR.pdf) | Türkçe rehber, öğrenme sırasına göre | ~4 MB |

| [📄 EN — CS_Complete_Terminology_Guide_EN.pdf](./CS_Complete_Terminology_Guide_EN.pdf) | İngilizce rehber, öğrenme sırasına göre | ~4 MB |

🤝 Katkı Sağlama




Eksik gördüğün bir terim veya bölüm varsa:

1. **Issue aç** — hangi terimin eksik olduğunu belirt

2. **PR gönder** — terimi ve açıklamasını ekleyerek

3. **Tartış** — hangi konular eklenmeli?

Her katkı, bu rehberi daha iyi hale getirir. 🙌

---

## 🇬🇧 English

📖 About This Guide




This guide presents **350+ essential terms** every CS student will encounter throughout their curriculum, organized into **26 chapters** and arranged **in learning sequence**.

Each term includes:

- **Clear explanation** — jargon-free, understandable language

- **Practical context** — where and why it's used

- **Related concepts** — connections between terms

> 💡 **Order matters!** Start with Discrete Math, move to Algorithms, then OS and Networks. Every concept builds on the previous one.

📋 Table of Contents (26 Chapters)




| # | Chapter | Terms |

|---|---------|-------|

| 1 | 🔢 Discrete Mathematics | 13 |

| 2 | ⌨️ Programming Fundamentals & Language Concepts | 14 |

| 3 | 🔁 Algorithms & Data Structures | 18 |

| 4 | 📐 Mathematics for CS & AI | 13 |

| 5 | 🧮 Theoretical CS & Computability | 12 |

| 6 | 🖥️ Hardware & Computer Architecture | 12 |

| 7 | 💻 Operating Systems | 14 |

| 8 | 🌐 Computer Networks | 14 |

| 9 | 🗄️ Databases | 14 |

| 10 | 🔒 Cybersecurity | 13 |

| 11 | 🔌 API & Web Development | 14 |

| 12 | ☁️ Cloud Computing & DevOps | 13 |

| 13 | 🤖 Data Science & Machine Learning | 14 |

| 14 | 🧠 Deep Learning & Large Language Models | 15 |

| 15 | 📊 Data Engineering & Big Data | 12 |

| 16 | 👁️ Computer Vision & Signal Processing | 12 |

| 17 | ⚙️ Compilers & Language Theory | 12 |

| 18 | ⚡ Parallel & Distributed Systems | 12 |

| 19 | 🏗️ Software Engineering & System Design | 12 |

| 20 | 🐧 Linux & Bash / Terminal | 12 |

| 21 | 🔤 Regex & Text Processing | 12 |

| 22 | 🧪 Testing & Debugging Techniques | 13 |

| 23 | 🚀 Project Management & Career | 12 |

| 24 | ⚖️ Ethics & Law (AI Ethics, GDPR) | 12 |

| 25 | 📡 Embedded Systems & IoT | 13 |

| 26 | 🔬 Numerical Methods & Scientific Computing | 12 |

🗺️ Learning Roadmap




```

Foundations

├── 1. Discrete Math       → Logic, proofs, combinatorics, graphs

├── 4. Math (CS/AI)        → Linear algebra, probability, calculus

└── 5. Theoretical CS      → Automata, Turing machines, P vs NP

Systems

├── 6. Hardware & Arch     → CPU, cache, GPU, pipeline

├── 7. Operating Systems   → Processes, memory, file systems

└── 8. Computer Networks   → OSI, TCP/IP, DNS, HTTP, TLS

Software Development

├── 2. Programming         → OOP, FP, memory model, type systems

├── 3. Algorithms          → Big-O, data structures, graph algos

└── 17. Compilers          → Lexer, parser, AST, code generation

Data & AI

├── 9. Databases           → SQL, NoSQL, ACID, CAP theorem

├── 13. Machine Learning   → EDA, models, evaluation metrics

├── 14. Deep Learning      → CNN, Transformer, LLM, RAG

└── 15. Data Engineering   → Spark, Kafka, data warehouse

Production & Career

├── 10. Security           → OWASP, cryptography, zero trust

├── 11. API & Web          → REST, JWT, OAuth, GraphQL

├── 12. Cloud & DevOps     → Docker, K8s, CI/CD, observability

├── 20. Linux & Bash       → Terminal, scripting, sysadmin

├── 22. Testing & Debug    → Unit tests, TDD, profiling

└── 23. Career             → GitHub, CV, interviews, portfolio

```

📥 Downloads




| File | Description | Size |

|------|-------------|------|

| [📄 TR — CS_Kapsamli_Terim_Rehberi_TR.pdf](./CS_Kapsamli_Terim_Rehberi_TR.pdf) | Turkish guide, ordered by learning sequence | ~4 MB |

| [📄 EN — CS_Complete_Terminology_Guide_EN.pdf](./CS_Complete_Terminology_Guide_EN.pdf) | English guide, ordered by learning sequence | ~4 MB |

🤝 Contributing




If you spot a missing term or chapter:

1. **Open an issue** — describe which term is missing and why it matters

2. **Submit a PR** — add the term with a clear, concise explanation

3. **Join the discussion** — what topics should be added next?

Every contribution makes this guide better for everyone. 🙌

---



**Made with ❤️ for CS students everywhere**

26 chapters · 350+ terms · Turkish & English · Ordered by learning sequence