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Course Outline

Introduction

  • Understanding programming and its relevance
  • The history of programming
  • Leveraging software for task automation
  • The role of programmers and computers in modern enterprises
  • Current market trends in programming and development
  • Declarative vs. imperative programming: How and What?
  • The Turing machine
  • Consolidation, compilation, and "just-in-time" interpretation

Review of Logic and Boolean Algebra

  • Predicates
  • Logical sentences
  • Tautologies
  • Boolean algebra

Your First Program

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

Primitive Types

  • String representation
  • Integers
  • Floating-point numbers
  • Booleans
  • Null type
  • Empty 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 associated challenges
  • Switch statements
  • For loops and for-in loops
  • While loops and do-while loops
  • For-each loops
  • Loop termination

Creating Reusable Code

  • Functional programming
  • Object-oriented programming

Functional Programming Paradigms

  • Definition of a function
  • Functions versus 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 philosophy and ontology
  • Defining objects and other types
  • Class declaration
  • 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 using classes and objects
  • Describing and implementing class relationships
  • Programming from a business perspective

Best Programming Practices

  • Pitfalls and common errors
  • Translating high-level code to low-level interpretation
  • Code optimization
  • The KISS principle
  • The DRY principle
  • The "Worse is Better" principle
  • Separating abstraction from implementation
  • Methods for detecting logical errors
  • Code naming conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

  • Application domains of these languages
  • Key language features
  • Development prospects
  • Future development trends: algorithmic improvements, code optimization, implementation of 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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