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Course Outline

Introduction

  • What is programming and why it warrants attention
  • History of programming
  • Opportunities to automate tasks using software
  • The role of the programmer and the computer within an enterprise
  • Current market trends in programming and development
  • Declarative vs. imperative programming: How vs. What?
  • The Turing machine
  • Consolidation, compilation, and "just-in-time" interpretation

Review of Logic and Boolean Algebra

  • Predicates
  • Logical propositions
  • Tautologies
  • Boolean algebra

The First Program

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

Basic Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Boolean values
  • The 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
  • Comparison of values 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 the associated 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
  • Fundamentals of lambda calculus
  • Function arguments
  • Returning values
  • Functions as arguments
  • Anonymous functions
  • Closures
  • Recursion

Object-Oriented Programming Paradigms

  • Representing real-world entities in philosophy and ontology
  • Defining objects versus other types
  • Class declaration
  • Creating class instances
  • Fields and object state
  • Methods and object behavior
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Association and aggregation
  • Delegation and object relationship separation
  • Modules, packages, and libraries
  • API sharing
  • System modeling via classes and objects
  • Describing and programming class relationships
  • Viewing programs from a business perspective

Best Practices in Programming

  • Pitfalls and common errors
  • Translating high-level logic into low-level code
  • Code optimization
  • The KISS principle
  • The DRY principle
  • The "Worse is Better" principle
  • Separating abstraction from implementation
  • Methods for detecting logic errors in programs
  • Formatting conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

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

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