Relearn CS in One Year

Overview

A systematic one-year program to review all computer science core courses (July 2025 - July 2026). This repository contains comprehensive notes, implementations, and programming assignments across 11 fundamental CS topics.

Course Structure

Core Topics (11 Courses)

1. Data Structures (Month 1-2)
   • Notes on core concepts and implementations
   • Implementation projects
2. Discrete Mathematics (Month 2-3)
   • Mathematical foundations
   • Computational exercises
3. Algorithms (Month 3-4)
   • Algorithm design and analysis
   • Implementation projects
4. Computer Architecture (Month 4-5)
   • System design and organization
   • Assembly and simulation exercises
5. Operating Systems (Month 5-6)
   • OS concepts and design
   • Kernel programming exercises
6. Networking (Month 6-7)
   • Network protocols and architecture
   • Network programming projects
7. Databases (Month 7-8)
   • Database design and management
   • Implementation projects
8. Distributed Systems (Month 8-9)
   • Distributed computing concepts
   • System projects
9. Machine Learning (Month 9-10)
   • ML algorithms and concepts
   • Implementation projects
10. Deep Learning (Month 10-11)
    • Neural network architectures
    • Deep learning projects
11. Parallel Computing (Month 11-12)
    • Parallel algorithms and architectures
    • Programming exercises

Repository Organization

Each topic contains:

• Notes: Comprehensive study materials and key concepts
• Programming Assignments: Hands-on implementation projects
• Resources: Textbook references and online materials

Reference Textbooks

• Data Structures & Algorithms - Cormen et al.
• Discrete Mathematics and Its Applications - Rosen
• Computer Organization and Design - Patterson & Hennessy
• Operating System Concepts - Silberschatz et al.
• Computer Networks - Tanenbaum & Wetherall
• Database System Concepts - Silberschatz et al.
• Distributed Systems - Tanenbaum & van Steen
• Pattern Recognition and Machine Learning - Bishop
• Deep Learning - Goodfellow, Bengio, Courville
• Introduction to Parallel Computing - Grama et al.

Online Resources

• MIT OpenCourseWare
• Coursera, edX courses
• LeetCode, HackerRank for practice
• GitHub repositories for implementations

Progress Tracking

Visual progress tracker included for each of the 11 courses, spanning the full year timeline.

Links

• GitHub Repository