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Course Outline

Introduction

  • Definition of programming and its significance
  • History of programming
  • Opportunities for automating tasks through software
  • The role of programmers and computers in modern enterprises
  • Current market trends in programming development
  • Declarative vs. imperative programming: approaches and applications
  • The Turing Machine
  • Compilation and interpretation mechanisms

Review of Logic and Boolean Algebra

  • Predicates
  • Logical statements
  • Tautologies
  • Boolean algebra

Writing Your First Program

  • Structural approaches
  • Functional approaches
  • Object-oriented approaches
  • Alternative programming models

Primitive Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Boolean values
  • Null types
  • Blank or uninitialized states
  • Strong vs. weak typing systems

Data Structures

  • FIFO and FILO concepts
  • Stacks
  • Queues
  • Declaring arrays and lists
  • Indexing techniques
  • Maps
  • Records
  • Trees

Operators

  • Assignment operators
  • Arithmetic operators
  • Comparison operators
  • Value comparison across different languages
  • Bitwise operators
  • Concatenation
  • Increment and decrement operators
  • Common pitfalls and errors

Program Control Flow

  • If and if-else statements
  • Goto statements and their implementation challenges
  • Switch statements
  • For and for-in loops
  • While and do-while loops
  • Foreach loops
  • Loop termination strategies

Creating Reusable Code

  • Functional programming
  • Object-oriented programming

Functional Programming Paradigms

  • Understanding functions
  • Functions vs. procedures
  • Foundations of lambda calculus
  • Function arguments
  • Returning values
  • Functions as arguments
  • Anonymous functions
  • Closures
  • Recursion

Object-Oriented Programming Paradigms

  • Modeling real-world entities via philosophy and ontology
  • Determining appropriate object types
  • Class declaration
  • Creating class instances
  • Fields and object state
  • Methods and object behavior
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Association and aggregation
  • Delegation and separation of object relationships
  • Modules, packages, and libraries
  • API sharing
  • System modeling using classes and objects
  • Defining and programming class relationships
  • Business perspective on programming

Best Practices in Programming

  • Common pitfalls and errors
  • Translating high-level logic to low-level interpretation
  • Code optimization techniques
  • KISS principle
  • DRY principle
  • 'Worse is Better' philosophy
  • Separating abstraction from implementation
  • Methods for detecting logical errors in software
  • Code naming conventions
  • Code commenting standards
  • Software metrics

Overview of Technologies and Languages

  • Application domains for these languages
  • Key language features
  • Development prospects
  • Future development directions: algorithmic approaches, code optimization, implementation patterns, design patterns, architectural patterns, and analytical standards
  • Reducing control structures through artificial intelligence and automated decision-making
  • Platform selection guidance and individual consultations
 35 Hours

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