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Course Outline

Introduction

  • Defining programming and its significance
  • History of programming
  • Opportunities for automating tasks through software
  • The role of programmers and computers in modern enterprises
  • Current trends in programming development and the market
  • Declarative vs. imperative programming: How vs. What
  • Understanding the Turing machine
  • Consolidation, compilation, and just-in-time interpretation

Review of Logic and Boolean Algebra

  • Predicates
  • Logical statements
  • Tautologies
  • Boolean algebra

Writing Your First Program

  • Structural approaches
  • Functional approaches
  • Object-oriented approaches
  • Alternative paradigms

Primitive Data Types

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

Data Structures

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

Operators

  • Assignment operators
  • Arithmetic operators
  • Comparison operators
  • Comparing values across different languages
  • Bitwise operators
  • Concatenation
  • Increment and decrement operators
  • Common errors

Program Control Flow

  • if and if-else statements
  • goto statements and application challenges
  • switch statements
  • for and for-in loops
  • while and do-while loops
  • foreach loops
  • Loop termination

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

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

Object-Oriented Programming Paradigms

  • Mapping real-world entities to objects (philosophy, ontology)
  • Deciding between objects and other types
  • Class declarations
  • Creating class instances
  • Fields and object state
  • Methods as object behavior
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Association and aggregation
  • Delegation and relationship separation between objects
  • Modules, packages, and libraries
  • API sharing
  • Modeling systems as classes and objects
  • Describing and programming class relationships
  • Viewing programs from a business perspective

Best Programming Practices

  • Pitfalls and common errors
  • Interpreting high-level code at the low level
  • Code optimization
  • KISS principle
  • DRY principle
  • 'Worse is Better' principle
  • Separating abstraction from implementation
  • Methods for detecting logical errors
  • Formatting conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

  • Application domains of these languages
  • Key language features
  • Development prospects
  • Future trends: algorithmic advancements, code optimization, implementation patterns, design patterns, architectural patterns, and analytical standards
  • Reducing control structures through artificial intelligence and automated decision-making
  • Choosing the right platform: individual consultations
 35 Hours

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