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 100 X, 1000 X
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. Short Review of “How to create a Mind” by Ray Kurzweil and “On Intelligence” by Jeff Hawkins [TahsinVersion2]
13. Latest From Science, Technology, Medicine & Innovation [12.16.14] [TahsinVersion2]
14. Latest From Science, Engineering, Medicine & Innovation [11.12.14]
15. Quora Question: Which Subfields Of The Sciences Have Been Most Fruitful In Inspiring New Machine Learning Algorithms/Paradigms? [TahsinVersion2]
16. Open Letter To Princess Shamita Tahsin – 10 [TahsinVersion2] (Artificial Intelligence … MetaCognition)  
17. নাগরিক শক্তির Social Media & Big Data Strategy [TahsinVersion2.com]