/Coding-Machine-Skillset

A Skillset for wanna-be coding-machine developers.

The Coding Machine Developer Skillset

Provided by the AvrSandbox Project

Basic Technology Knowledge:

  • 1 2 3 4 5 6 7 :Days: Skills
  • [ ][ ][ ][ ][ ][ ][ ] Java Programming Language (study jls, jvm, jdk official specifications)
  • [ ][ ][ ][ ][ ][ ][ ] Design Patterns GoF Templates
  • [ ][ ][ ][ ][ ][ ][ ] Anti-Pattern Templates
  • [ ][ ][ ][ ][ ][ ][ ] Popular Data Structures
  • [ ][ ][ ][ ][ ][ ][ ] Text Processing Algorithms
  • [ ][ ][ ][ ][ ][ ][ ] Algorithms Analysis
  • [ ][ ][ ][ ][ ][ ][ ] IBM C Programming Language Specification

Framework-based Knowledge:

  • 1 2 3 4 5 6 7 :Days: Skills
  • [ ][ ][ ][ ][ ][ ][ ] jSnapLoader (Native dynamic loader)
  • [ ][ ][ ][ ][ ][ ][ ] ShiftAvr (Specialized implementation of the Avr Microchip Toolchains)
  • [ ][ ][ ][ ][ ][ ][ ] Serial4j (Unix/POSIX Terminal IO)
  • [ ][ ][ ][ ][ ][ ][ ] Automata4j (Finite-State-Automaton Framework)
  • [ ][ ][ ][ ][ ][ ][ ] Jector (Dependency-Injection Framework)
  • [ ][ ][ ][ ][ ][ ][ ] Arithmos (Popular Base APIs for Design Patterns, Data Structures & Algorithms)
  • [ ][ ][ ][ ][ ][ ][ ] Socket4j (WIP)
  • [ ][ ][ ][ ][ ][ ][ ] jTestables API (WIP)
  • [ ][ ][ ][ ][ ][ ][ ] jMonkeyBuilder (WIP)

Theoretical-based Study:

  • 1 2 3 4 5 6 7 :Days: Skills
  • [ ][ ][ ][ ][ ][ ][ ] Unix Programming
  • [ ][ ][ ][ ][ ][ ][ ] General Electronics
  • [ ][ ][ ][ ][ ][ ][ ] Digital Electronics
  • [ ][ ][ ][ ][ ][ ][ ] Calculus
  • [ ][ ][ ][ ][ ][ ][ ] Linear Algebra
  • [ ][ ][ ][ ][ ][ ][ ] Finite-State-Automata
  • [ ][ ][ ][ ][ ][ ][ ] jMonkeyEngine APIs
  • [ ][ ][ ][ ][ ][ ][ ] Basic Compiler Engineering

Appendix

Definitive Planning for these Skillsets:

  • Make sure to print this paper on Sunday each 20 weeks or whenever you run out of ticks spaces.
  • For the best performance, to fullfil the week skillset, you should pick-up at least 2 items from each list and at most 3 items and no more than 3 items.
  • Picking the relevant week items from each list will boost the learning performance by 10x, for example: (Java Programming + Design-Patterns + Anti-Patterns -- Automata4j + jSnapLoader -- Finite-State-Automata).
  • Weekly-picked items should at least contain a theoretical-based study or science-based and an implementation task (framework-based) to best the ace the target week skillset.