Computer Science : At Its Breadth
 

• • CS Area 1: Theory & Algorithms 
  •  Theoretical Computer Science
    • Language, Automata Theory, Computability 
    • Discrete Mathematics
      • Boolean Algebra
    • Computational Complexity Theory  

• Algorithms [1] [2]
• Data Structures

• • CS Area 2: Software Engineering
  • Programming Languages [1] [2]
  • Software Engineering 
  • Skills, tools and processes [3] [4] [5] [6] 

• • CS Area 3: Systems
    • Operating Systems
      • Systems Programming
    • Compilers
    • Computer Security
    • Database
      • RBBMS
      • NoSQLs
    • Cloud and Mobile Computing [1] [2]
    • Parallel, Multicore and Concurrent Computing [3]
    • Networked and Distributed Systems [4] [5] [6] [7]
    • Wireless Networks & Mobile Computing

• • CS Area 4: Intelligence & Data Computing
    • Artificial Intelligence [2]
    • Machine Learning [1]
    • Data Science & Analytics. Data Mining. Big Data [10] [17]
    • Statistical Language Processing. Natural Language Processing. Speech Understanding.
    • Computer Vision & Image Processing
    • Robotics

• • CS Area 5: Physical Digital Computing [1] [5]
    • Robotics & Manufacturing [2] [3] [4] [6]
    • Internet Of Things
    • Industrial Internet
    • Smart Home
    • Digital Sports

• CS Area 6: BioComputing
  • Computational Biology & BioInformatics [2] [3] [4]
  • Systems Biology [1]
  • Healthcare Informatics

• CS Area 7: Computational Science & Engineering

• CS Area 8: Interactive Computing
  • Digital Education [1] [2] 
  • Wikinomics [3] [4]
  • Politics 2.0, Government 2.0 

 
References


Theory & Algorithms

1. Organization Of The Study And Application Of Algorithms [TahsinVersion2]
2. Solving Programming Problems [TahsinVersion2]
3. Personal Notes On Hard CS Problems
4. Basic Element Of Novel Computing Hardware
5. Quora Question: How does one become good at solving algorithm/programming problems? [TahsinVersion2]

 
Software Engineering

1. Programming Languages Of My Choice [TahsinVersion2]
2. Programming Language Paradigms
3. Java Development Skills
4. Functional Programming: A Brief Introduction
5. The Story of Object Oriented Programming
6. Dependency Injection: Newbie’s Guide
7. Lures Of Scala [TahsinVersion2]
8. Personal Notes On Increasing Programmer Productivity
9. “Real Object Programming”: A New Programming Paradigm
10. Personal Notes On Wolfram Language
11. Concurrent Programming Models

Systems

1. Android Development Topics A Developer Needs To Master [TahsinVersion2]
2. Android Application Architecture
3. Concurrent Programming Models
4. The Story Of Computer Networking: Progression From Internet To Web and Cloud
5. Graphical Representation Of Django Web Framework Components
6. How Web Search Engines Work
7. Distributed Data Processing Frameworks

Intelligence & Data Computing

1. What is Machine Learning? [TahsinVersion2]
2. Overview of (Artificially) Intelligent Agents
3. Personal Notes On Intelligence And Data Computing (1) (Big Data 2.0)
4. Personal Notes On Distributed Data Computing [Unofficial]
5. Subfields Of Sciences As Inspiration For Machine Learning Algorithms/Paradigms
6. Personal Notes On Artificial Intelligence [Unofficial]
7. Personal Notes On Intelligence & Data – 1 [Unofficial]
8. Machine Learning Algorithms: Brief Introduction
9. Application Of Data Analytics, Mining, Machine Learning & Network Science To Election Campaign Strategy
10. Distributed Data Processing Frameworks
11. Personal Notes On Robotics
12. Latest From Science, Technology, Medicine & Innovation [12.16.14] [TahsinVersion2]
13. Latest From Science, Engineering, Medicine & Innovation [11.12.14]
14. Quora Question: Which Subfields Of The Sciences Have Been Most Fruitful In Inspiring New Machine Learning Algorithms/Paradigms? [TahsinVersion2] 
15. নাগরিক শক্তির Social Media & Big Data Strategy [TahsinVersion2.com]